Skip to main content

ANITYA GUPTA

Shoolini University, Yogananda School of Artificial Intelligence Computers and Data Sciences, Ramanujan Associate

Followers

22

Following

2

Co-author

1

Public Views

Anitya Gupta working on securing a Ph.D. in Data Science from a top-notch Research University along with Ramanujan Associate and right now working on helping the youth to work on the road to financial freedom. Finished his Master of Computer Science in Data Analytics from Illinois Institute of Technology USA. Been Awarded as Young Research Scientist by the Government of India. I completed my Bachelor of Technology in Computer Science with a specialization in Cloud Computing from Apeejay Stya University in 2018 with 3.9 out of 4.3. I am currently working as a research fellow in advanced technologies like artificial intelligence, Agile, and Virtual reality at the Defense Research and Development Organisation - Defense Body of India. My key research field is Artificial Intelligence. My expertise is in Quantum programming, Brain Astronomy, Artificial Neural Models, Image Analytics, Securities and Designing Algorithms, and many more. I have already published more than research/review papers in reputed international journals across the world and in IEEE. In addition to this, I am awarded life membership of ISROSET and being the Executive member of INBA in the field of forensics. During my Bachelor's degree, I also cleared the Forensic exam from International Forensic Sciences and Also Scrum Product owner exam from Scrum Institute Switzerland.
Supervisors: Yousef Elhemwedi , Boris Galvic, Vikas Jindal, Manpreet Singh Sehgal, Sudhakar Ranjan, Atef Bader, Jawahar Panchal, Pawandhar , and Atul Khosla

less

University of California, Berkeley

stephen schafer

Lyndon Juden-kelly

Laurentian University

Christine Sterne

Prashant Mishra

James (Jim) E Beichler

Semi-retired Researcher

Robert Waterman

Clare Puskarczyk

California Institute of Integral Studies

InterestsView All (9)

Uploads

Papers by ANITYA GUPTA

Are Healing And Energy Are Real!!

When we are researching in the field of "Brain Astronomy"; we need to study each and ev... more When we are researching in the field of "Brain Astronomy"; we need to study each and every concept which is related to the brain. In the context of Brain Astronomy when we are researching on how the emotions can be captured than we have to first study about the processes of "Healing" and as well as "Energy" are real or not. In this paper it will be cleared or we can say measurable that whether these two aspects are real or not!!

Neural Network through Face Recognition

International Journal of Scientific Research in Computer Science and Engineering, Apr 1, 2018

The aim is to utilise image processing to figure out lip movements and provide lice interaction w... more The aim is to utilise image processing to figure out lip movements and provide lice interaction with the system based on it. The multimodal HCI is displayed which enables a client to take a shot at a PC utilizing developments and motions made with the specific user's mouth. Calculations for lip development and lip signal acknowledgement are introduced in points of interest. Client confront pictures are caught with a standard webcam. Face identification depends on a course of helped classifiers. Mouth position is utilized to track lip developments that enables a client to control a screen cursor. Three lip signals which are mouth opening, standing out tongue, and framing puckered lips respectively are perceived. An acknowledgment of lip is performed by simulated neural system.

Machine Learning: Object Recognition Web Platform

Journal of Computer Science & Systems Biology, 2018

Machine Learning is the backbone and most essential ingredient for working in the field of Artifi... more Machine Learning is the backbone and most essential ingredient for working in the field of Artificial Intelligence as well as working in advance technologies. Some of the models which we already using are RNN, SPPNET. In this research paper we will be getting to know about the New Neural Model called Renshaw Model with its advantages and the web platform which makes the life easier for the user to work and understand the neural networks through machine learning. Usage of Cloud services and as well the usage of API will also be defined. The web platform is developed to tackle the issue of complexity storage, and security issue. This platform is basically running in three different formats and according to the user professionality the execution takes place. Researchers in the field of artificial intelligence can contribute and change the dimensions of the execution by designing and executing their code in swagger.api.

Security Issues in Big Data with Cloud Computing

International Journal of Scientific Research in Computer Science and Engineering, 2017

In this paper, we examine security issues for cloud computing, Big Data, Map Reduce and Hadoop en... more In this paper, we examine security issues for cloud computing, Big Data, Map Reduce and Hadoop environment. The fundamental focus is on security issues in distributed computing that are connected with huge information. Big data information applications are an awesome advantage to associations, business, organizations and numerous substantial scale and little scale ventures. We additionally talk about different conceivable answers for the issues in distributed computing security and Hadoop. Distributed computing security is creating at a quick pace which incorporates PC security, system security, data security, and information protection. Distributed computing assumes an extremely indispensable part in securing information, applications and the related foundation with the assistance of arrangements, innovations, controls, and enormous information instruments. In addition, distributed computing, enormous information and its applications, focal points are prone to speak to the most promising new frontiers in science.

Water on Prince Edward Island

Assessment of Northern Mummichog ( Fundulus heteroclitus macrolepidotus ) as an Estuarine Pollution Monitoring Species

Water Quality Research Journal, 2009

The use of multiple spawning fishes in environmental effects monitoring programs has proven diffi... more The use of multiple spawning fishes in environmental effects monitoring programs has proven difficult for a number of reasons including the inability to predict reproductive investment and ensure synchronous sampling of reference and impacted populations. The estuarine resident northern mummichog (Fundulus heteroclitus macrolepidotus) has been successfully used as a sentinel for effects of pulp and paper mill effluents in Atlantic Canada and has been proposed for monitoring other anthropogenic impacts. This study investigated the spatial and temporal variability of the somatic parameters used to describe fish performance, specifically measures of energy use and storage, in estuaries located in Prince Edward Island, Canada. Three sites with varying levels of agricultural input were studied. Fish at all sites depleted their energy reserves over winter, as reflected in depressed condition, liver size, and gonad size, but then quickly replenished them in May. These population parameters...

Persistence of Trichomonas gallinae in Birdseed

Avian diseases, 2017

Trichomonas gallinae has emerged worldwide as a cause of mortality in songbirds (passerines). The... more Trichomonas gallinae has emerged worldwide as a cause of mortality in songbirds (passerines). The congregation of numerous birds, including the reservoir hosts, pigeons and doves (columbids), at backyard feeding and watering sources has been suggested as a potential driver for the outbreaks. Evidence supporting a role for water in transmission has been established, but the role of birdseed in the transmission of trichomoniasis remained to be investigated. We assessed the survival of T. gallinae in three commercial birdseeds (mixed seed, black-oil sunflower seed, and niger seed) routinely used to attract passerine birds to local properties. Trichomonad suspensions were inoculated (low dose: 1 × 10; high dose: 1 × 10) into each of the three seed types in petri dishes, using both dry and moist (water-soaked) conditions, in triplicate. Petri dishes were incubated at 37 C and monitored for T. gallinae survival for 48 hr by wet-mount microscopy and by InPouch™ TF medium culture for 10 day...

Distribution and relative abundance of salmonids in streams and rivers on Prince Edward Island, interim report, June 2002

Air quality and children’s health in rural Kenya

Air Pollution XXIII, 2015

This paper investigated the impact of air quality on the respiratory health of young children liv... more This paper investigated the impact of air quality on the respiratory health of young children living in rural Kenya. We examined particulate matter concentration and the concentrations of nitrogen dioxide, sulphur dioxide, and ozone in various areas frequented by pre-school age children in rural Kenya. We were most interested in comparing air quality in the bedrooms and cook houses. Children spent nearly four hours in cook houses with their mothers where air quality was significantly worse than bedrooms. Airborne particulate matter was highest in cook houses, followed by bedrooms, yards and roads, while it was lowest in the forest. Nitrogen dioxide and ozone levels were also higher in cook houses than in bedrooms although there was no difference in sulphur dioxide between the two areas. We examined children's respiratory illnesses, as indicated by health assessments and interviews with mothers, with their estimated exposure to poor air quality. We found no evidence of a link between our measures of air quality and respiratory illness although the short-term nature of the study may have contributed to our lack of association.

Examining the relationship between nutrient loading and fish communities in Prince Edward Island estuaries

Distribution and Abundance of Salmonids in Prince Edward Island Streams

Northeastern Naturalist, 2010

ABSTRACT The freshwater sports fishery of Prince Edward Island (PEI) revolves largely around thre... more ABSTRACT The freshwater sports fishery of Prince Edward Island (PEI) revolves largely around three salmonid species—Salvelinus fontinalis (Brook Trout), Salmo salar (Atlantic Salmon), and the nonnative Oncorhynchus mykiss (Rainbow Trout). However, little is known about their current distribution and relative abundance on the Island. Of particular concern is the status of Atlantic Salmon, whose populations have declined dramatically in other parts of the Maritimes and are listed as “may be at risk” on PEI. We systematically sampled 69 streams with suitable juvenile salmonid habitat (riffle with gravel/cobble substrate), to provide baseline data concerning the population status of these three species. Brook Trout were found in all 69 streams, with a median density of 78.3 fish per 100 m2. Atlantic Salmon were found in 23 sites, at a median density of 11.6 fish per 100 m2. Rainbow Trout were found in only 19 streams, but at slightly higher densities of 16.2 fish per 100 m2. Present day distribution and abundance of all three species on the Island have been influenced by habitat modification and degradation.

Developmental, behavioral, and reproductive effects experienced by Japanese medaka (Oryzias latipes) in response to short-term exposure to endosulfan

Ecotoxicology and Environmental Safety, 2003

Japanese medaka (Oryzias latipes) were exposed to concentrations of 0.01, 0.10, and 1.0 microg/L ... more Japanese medaka (Oryzias latipes) were exposed to concentrations of 0.01, 0.10, and 1.0 microg/L of the pesticide endosulfan for 24h beginning either 4-6h postfertilization or 4-6h posthatch to determine effects on hatching time, growth, mobility, foraging ability, and reproduction. Eggs exposed to endosulfan took longer to hatch, and the resulting fry were smaller at 1 week of age and had decreased mobility at 2 weeks of age. Upon reaching sexual maturity, these individuals also produced fewer eggs, and these eggs took significantly longer to hatch. Medaka exposed to endosulfan shortly after hatching did not differ in early mobility or foraging ability. Interestingly, upon reaching sexual maturity, these individuals produced more eggs than did unexposed females. The observed effects were not dose-dependent, with medaka exposed to intermediate concentrations of endosulfan (0.10 microg/L) exhibiting the greatest response. These results suggest that short-term exposure to environmentally relevant concentrations of a common pesticide may have long-term effects on growth, behavior, and reproduction in fish.

Prevalence of Batrachochytrium dendrobatidis in three species of wild frogs on Prince Edward Island, Canada

Diseases of Aquatic Organisms, 2010

Chytridiomycosis, caused by the fungus Batrachochytrium dendrobatidis (Bd), has resulted in the d... more Chytridiomycosis, caused by the fungus Batrachochytrium dendrobatidis (Bd), has resulted in the decline or extinction of approximately 200 frog species worldwide. It has been reported throughout much of North America, but its presence on Prince Edward Island (PEI), on the eastern coast of Canada, was unknown. To determine the presence and prevalence of Bd on PEI, skin swabs were collected from 115 frogs from 18 separate sites across the province during the summer of 2009. The swabs were tested through single round end-point PCR for the presence of Bd DNA. Thirty-one frogs were positive, including 25/93 (27%) green frogs Lithobates (Rana) clamitans, 5/20 (25%) northern leopard frogs L. (R.) pipiens, and 1/2 (50%) wood frogs L. sylvaticus (formerly R. sylvatica); 12 of the 18 (67%) sites had at least 1 positive frog. The overall prevalence of Bd infection was estimated at 26.9% (7.2-46.7%, 95% CI). Prevalence amongst green frogs and leopard frogs was similar, but green frogs had a stronger PCR signal when compared to leopard frogs, regardless of age (p < 0.001) and body length (p = 0.476). Amongst green frogs, juveniles were more frequently positive than adults (p = 0.001). Green frogs may be the most reliable species to sample when looking for Bd in eastern North America. The 1 wood frog positive for Bd was found dead from chytridiomycosis; none of the other frogs that were positive for Bd by PCR showed any obvious signs of illness. Further monitoring will be required to determine what effect Bd infection has on amphibian population health on PEI.

Pair Bonds and Factors Influencing the Diversity of Mating Systems in Brown-Headed Cowbirds

The Condor, 1986

Abstract. Observations of radio-tagged Brown-headed Cowbirds (Molothrus ater) indicated that indi... more

Brain Astronomy

The topic discuss on Brain Astronomy is the leading technology in the foreign countries. We will ... more The topic discuss on Brain Astronomy is the leading technology in the foreign countries. We will come to know about the various researches and the impossible things which are been converted into the possibilities. By these researches the word Impossible has been removed from the dictionary of this technological world. We will also come to know about the different languages like Quantum Programming language with their functional correspondence. We will be able to understand the new ways to remove the drug addiction from this world.

Time portability evaluation of RCNN technique of OD object detection — machine learning (artificial intelligence)

This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question... more This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question recognition. Quick R-CNN expands on past work to effectively characterize ob-ject recommendations utilizing profound convolutional systems. Com-pared to past work, Quick R-CNN utilizes a few in-novations to enhance preparing and testing speed while likewise expanding identification precision. Quick R-CNN trains the profound VGG16 arrange 9 quicker than R-CNN, is 213 speedier at test-time, and accomplishes a higher Guide on PASCAL VOC 2012. Contrasted with SPPnet, Quick R-CNN trains VGG16 3 quicker, tests 10 speedier, and is more exact. Quick R-CNN is actualized in Python and C++ (utilizing Caffe) and is accessible under the open-source MIT Permit.

Deep Learning Approach towards Solar Energy Forecast

Water Purification with Nanotechnology Membranes

International Journal of Engineering Development and Research, 2016

The report has been undertaken for the purpose of identification of the importance of nanotechnol... more The report has been undertaken for the purpose of identification of the importance of nanotechnology on treatment of wastewater. Moreover, the report has highlighted certain advantages and limitations that are associated with the use of nanotechnology for the purpose of cleaning and purifying water. The discussion has indicated that some of the advantages that are associated with the use of nanotechnology are effective discharge of hazardous chemicals from water along with effectively carrying out the process of filtration. On the other hand it has been argued that some of the limitations that are related to the application of nanotechnology are hazardous impact of technology on the environment. Different membranes that have been taken up for discussion are nanostructure membrane along with membrane filtration technology and bio mimetic membrane etc. The discussion has revealed that biomimetic membrane is of greater importance as compared to other membranes that were taken into cons...

Hardware And Software With Real World

I just came with the real world examples that makes the concept of the hardware and software in m... more

Time portability evaluation of RCNN technique of OD object detection — machine learning (artificial intelligence)

This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question... more This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question recognition. Quick R-CNN expands on past work to effectively characterize ob-ject recommendations utilizing profound convolutional systems. Com-pared to past work, Quick R-CNN utilizes a few in-novations to enhance preparing and testing speed while likewise expanding identification precision. Quick R-CNN trains the profound VGG16 arrange 9 quicker than R-CNN, is 213 speedier at test-time, and accomplishes a higher Guide on PASCAL VOC 2012. Contrasted with SPPnet, Quick R-CNN trains VGG16 3 quicker, tests 10 speedier, and is more exact. Quick R-CNN is actualized in Python and C++ (utilizing Caffe) and is accessible under the open-source MIT Permit.

Are Healing And Energy Are Real!!

When we are researching in the field of "Brain Astronomy"; we need to study each and ev... more When we are researching in the field of "Brain Astronomy"; we need to study each and every concept which is related to the brain. In the context of Brain Astronomy when we are researching on how the emotions can be captured than we have to first study about the processes of "Healing" and as well as "Energy" are real or not. In this paper it will be cleared or we can say measurable that whether these two aspects are real or not!!

Neural Network through Face Recognition

International Journal of Scientific Research in Computer Science and Engineering, Apr 1, 2018

The aim is to utilise image processing to figure out lip movements and provide lice interaction w... more The aim is to utilise image processing to figure out lip movements and provide lice interaction with the system based on it. The multimodal HCI is displayed which enables a client to take a shot at a PC utilizing developments and motions made with the specific user's mouth. Calculations for lip development and lip signal acknowledgement are introduced in points of interest. Client confront pictures are caught with a standard webcam. Face identification depends on a course of helped classifiers. Mouth position is utilized to track lip developments that enables a client to control a screen cursor. Three lip signals which are mouth opening, standing out tongue, and framing puckered lips respectively are perceived. An acknowledgment of lip is performed by simulated neural system.

Machine Learning: Object Recognition Web Platform

Journal of Computer Science & Systems Biology, 2018

Machine Learning is the backbone and most essential ingredient for working in the field of Artifi... more Machine Learning is the backbone and most essential ingredient for working in the field of Artificial Intelligence as well as working in advance technologies. Some of the models which we already using are RNN, SPPNET. In this research paper we will be getting to know about the New Neural Model called Renshaw Model with its advantages and the web platform which makes the life easier for the user to work and understand the neural networks through machine learning. Usage of Cloud services and as well the usage of API will also be defined. The web platform is developed to tackle the issue of complexity storage, and security issue. This platform is basically running in three different formats and according to the user professionality the execution takes place. Researchers in the field of artificial intelligence can contribute and change the dimensions of the execution by designing and executing their code in swagger.api.

Security Issues in Big Data with Cloud Computing

International Journal of Scientific Research in Computer Science and Engineering, 2017

In this paper, we examine security issues for cloud computing, Big Data, Map Reduce and Hadoop en... more In this paper, we examine security issues for cloud computing, Big Data, Map Reduce and Hadoop environment. The fundamental focus is on security issues in distributed computing that are connected with huge information. Big data information applications are an awesome advantage to associations, business, organizations and numerous substantial scale and little scale ventures. We additionally talk about different conceivable answers for the issues in distributed computing security and Hadoop. Distributed computing security is creating at a quick pace which incorporates PC security, system security, data security, and information protection. Distributed computing assumes an extremely indispensable part in securing information, applications and the related foundation with the assistance of arrangements, innovations, controls, and enormous information instruments. In addition, distributed computing, enormous information and its applications, focal points are prone to speak to the most promising new frontiers in science.

Water on Prince Edward Island

Assessment of Northern Mummichog ( Fundulus heteroclitus macrolepidotus ) as an Estuarine Pollution Monitoring Species

Water Quality Research Journal, 2009

The use of multiple spawning fishes in environmental effects monitoring programs has proven diffi... more The use of multiple spawning fishes in environmental effects monitoring programs has proven difficult for a number of reasons including the inability to predict reproductive investment and ensure synchronous sampling of reference and impacted populations. The estuarine resident northern mummichog (Fundulus heteroclitus macrolepidotus) has been successfully used as a sentinel for effects of pulp and paper mill effluents in Atlantic Canada and has been proposed for monitoring other anthropogenic impacts. This study investigated the spatial and temporal variability of the somatic parameters used to describe fish performance, specifically measures of energy use and storage, in estuaries located in Prince Edward Island, Canada. Three sites with varying levels of agricultural input were studied. Fish at all sites depleted their energy reserves over winter, as reflected in depressed condition, liver size, and gonad size, but then quickly replenished them in May. These population parameters...

Persistence of Trichomonas gallinae in Birdseed

Avian diseases, 2017

Trichomonas gallinae has emerged worldwide as a cause of mortality in songbirds (passerines). The... more Trichomonas gallinae has emerged worldwide as a cause of mortality in songbirds (passerines). The congregation of numerous birds, including the reservoir hosts, pigeons and doves (columbids), at backyard feeding and watering sources has been suggested as a potential driver for the outbreaks. Evidence supporting a role for water in transmission has been established, but the role of birdseed in the transmission of trichomoniasis remained to be investigated. We assessed the survival of T. gallinae in three commercial birdseeds (mixed seed, black-oil sunflower seed, and niger seed) routinely used to attract passerine birds to local properties. Trichomonad suspensions were inoculated (low dose: 1 × 10; high dose: 1 × 10) into each of the three seed types in petri dishes, using both dry and moist (water-soaked) conditions, in triplicate. Petri dishes were incubated at 37 C and monitored for T. gallinae survival for 48 hr by wet-mount microscopy and by InPouch™ TF medium culture for 10 day...

Distribution and relative abundance of salmonids in streams and rivers on Prince Edward Island, interim report, June 2002

Air quality and children’s health in rural Kenya

Air Pollution XXIII, 2015

This paper investigated the impact of air quality on the respiratory health of young children liv... more This paper investigated the impact of air quality on the respiratory health of young children living in rural Kenya. We examined particulate matter concentration and the concentrations of nitrogen dioxide, sulphur dioxide, and ozone in various areas frequented by pre-school age children in rural Kenya. We were most interested in comparing air quality in the bedrooms and cook houses. Children spent nearly four hours in cook houses with their mothers where air quality was significantly worse than bedrooms. Airborne particulate matter was highest in cook houses, followed by bedrooms, yards and roads, while it was lowest in the forest. Nitrogen dioxide and ozone levels were also higher in cook houses than in bedrooms although there was no difference in sulphur dioxide between the two areas. We examined children's respiratory illnesses, as indicated by health assessments and interviews with mothers, with their estimated exposure to poor air quality. We found no evidence of a link between our measures of air quality and respiratory illness although the short-term nature of the study may have contributed to our lack of association.

Examining the relationship between nutrient loading and fish communities in Prince Edward Island estuaries

Distribution and Abundance of Salmonids in Prince Edward Island Streams

Northeastern Naturalist, 2010

ABSTRACT The freshwater sports fishery of Prince Edward Island (PEI) revolves largely around thre... more ABSTRACT The freshwater sports fishery of Prince Edward Island (PEI) revolves largely around three salmonid species—Salvelinus fontinalis (Brook Trout), Salmo salar (Atlantic Salmon), and the nonnative Oncorhynchus mykiss (Rainbow Trout). However, little is known about their current distribution and relative abundance on the Island. Of particular concern is the status of Atlantic Salmon, whose populations have declined dramatically in other parts of the Maritimes and are listed as “may be at risk” on PEI. We systematically sampled 69 streams with suitable juvenile salmonid habitat (riffle with gravel/cobble substrate), to provide baseline data concerning the population status of these three species. Brook Trout were found in all 69 streams, with a median density of 78.3 fish per 100 m2. Atlantic Salmon were found in 23 sites, at a median density of 11.6 fish per 100 m2. Rainbow Trout were found in only 19 streams, but at slightly higher densities of 16.2 fish per 100 m2. Present day distribution and abundance of all three species on the Island have been influenced by habitat modification and degradation.

Developmental, behavioral, and reproductive effects experienced by Japanese medaka (Oryzias latipes) in response to short-term exposure to endosulfan

Ecotoxicology and Environmental Safety, 2003

Japanese medaka (Oryzias latipes) were exposed to concentrations of 0.01, 0.10, and 1.0 microg/L ... more Japanese medaka (Oryzias latipes) were exposed to concentrations of 0.01, 0.10, and 1.0 microg/L of the pesticide endosulfan for 24h beginning either 4-6h postfertilization or 4-6h posthatch to determine effects on hatching time, growth, mobility, foraging ability, and reproduction. Eggs exposed to endosulfan took longer to hatch, and the resulting fry were smaller at 1 week of age and had decreased mobility at 2 weeks of age. Upon reaching sexual maturity, these individuals also produced fewer eggs, and these eggs took significantly longer to hatch. Medaka exposed to endosulfan shortly after hatching did not differ in early mobility or foraging ability. Interestingly, upon reaching sexual maturity, these individuals produced more eggs than did unexposed females. The observed effects were not dose-dependent, with medaka exposed to intermediate concentrations of endosulfan (0.10 microg/L) exhibiting the greatest response. These results suggest that short-term exposure to environmentally relevant concentrations of a common pesticide may have long-term effects on growth, behavior, and reproduction in fish.

Prevalence of Batrachochytrium dendrobatidis in three species of wild frogs on Prince Edward Island, Canada

Diseases of Aquatic Organisms, 2010

Chytridiomycosis, caused by the fungus Batrachochytrium dendrobatidis (Bd), has resulted in the d... more Chytridiomycosis, caused by the fungus Batrachochytrium dendrobatidis (Bd), has resulted in the decline or extinction of approximately 200 frog species worldwide. It has been reported throughout much of North America, but its presence on Prince Edward Island (PEI), on the eastern coast of Canada, was unknown. To determine the presence and prevalence of Bd on PEI, skin swabs were collected from 115 frogs from 18 separate sites across the province during the summer of 2009. The swabs were tested through single round end-point PCR for the presence of Bd DNA. Thirty-one frogs were positive, including 25/93 (27%) green frogs Lithobates (Rana) clamitans, 5/20 (25%) northern leopard frogs L. (R.) pipiens, and 1/2 (50%) wood frogs L. sylvaticus (formerly R. sylvatica); 12 of the 18 (67%) sites had at least 1 positive frog. The overall prevalence of Bd infection was estimated at 26.9% (7.2-46.7%, 95% CI). Prevalence amongst green frogs and leopard frogs was similar, but green frogs had a stronger PCR signal when compared to leopard frogs, regardless of age (p < 0.001) and body length (p = 0.476). Amongst green frogs, juveniles were more frequently positive than adults (p = 0.001). Green frogs may be the most reliable species to sample when looking for Bd in eastern North America. The 1 wood frog positive for Bd was found dead from chytridiomycosis; none of the other frogs that were positive for Bd by PCR showed any obvious signs of illness. Further monitoring will be required to determine what effect Bd infection has on amphibian population health on PEI.

Pair Bonds and Factors Influencing the Diversity of Mating Systems in Brown-Headed Cowbirds

The Condor, 1986

Abstract. Observations of radio-tagged Brown-headed Cowbirds (Molothrus ater) indicated that indi... more

Brain Astronomy

The topic discuss on Brain Astronomy is the leading technology in the foreign countries. We will ... more The topic discuss on Brain Astronomy is the leading technology in the foreign countries. We will come to know about the various researches and the impossible things which are been converted into the possibilities. By these researches the word Impossible has been removed from the dictionary of this technological world. We will also come to know about the different languages like Quantum Programming language with their functional correspondence. We will be able to understand the new ways to remove the drug addiction from this world.

Time portability evaluation of RCNN technique of OD object detection — machine learning (artificial intelligence)

This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question... more This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question recognition. Quick R-CNN expands on past work to effectively characterize ob-ject recommendations utilizing profound convolutional systems. Com-pared to past work, Quick R-CNN utilizes a few in-novations to enhance preparing and testing speed while likewise expanding identification precision. Quick R-CNN trains the profound VGG16 arrange 9 quicker than R-CNN, is 213 speedier at test-time, and accomplishes a higher Guide on PASCAL VOC 2012. Contrasted with SPPnet, Quick R-CNN trains VGG16 3 quicker, tests 10 speedier, and is more exact. Quick R-CNN is actualized in Python and C++ (utilizing Caffe) and is accessible under the open-source MIT Permit.

Deep Learning Approach towards Solar Energy Forecast

Water Purification with Nanotechnology Membranes

International Journal of Engineering Development and Research, 2016

The report has been undertaken for the purpose of identification of the importance of nanotechnol... more The report has been undertaken for the purpose of identification of the importance of nanotechnology on treatment of wastewater. Moreover, the report has highlighted certain advantages and limitations that are associated with the use of nanotechnology for the purpose of cleaning and purifying water. The discussion has indicated that some of the advantages that are associated with the use of nanotechnology are effective discharge of hazardous chemicals from water along with effectively carrying out the process of filtration. On the other hand it has been argued that some of the limitations that are related to the application of nanotechnology are hazardous impact of technology on the environment. Different membranes that have been taken up for discussion are nanostructure membrane along with membrane filtration technology and bio mimetic membrane etc. The discussion has revealed that biomimetic membrane is of greater importance as compared to other membranes that were taken into cons...

Hardware And Software With Real World

I just came with the real world examples that makes the concept of the hardware and software in m... more

Time portability evaluation of RCNN technique of OD object detection — machine learning (artificial intelligence)

This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question... more This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question recognition. Quick R-CNN expands on past work to effectively characterize ob-ject recommendations utilizing profound convolutional systems. Com-pared to past work, Quick R-CNN utilizes a few in-novations to enhance preparing and testing speed while likewise expanding identification precision. Quick R-CNN trains the profound VGG16 arrange 9 quicker than R-CNN, is 213 speedier at test-time, and accomplishes a higher Guide on PASCAL VOC 2012. Contrasted with SPPnet, Quick R-CNN trains VGG16 3 quicker, tests 10 speedier, and is more exact. Quick R-CNN is actualized in Python and C++ (utilizing Caffe) and is accessible under the open-source MIT Permit.