INTERNATIONAL CONFERENCE ON ADVANCES IN MULTI-DISCIPLINARY SCIENCES AND ENGINEERING RESEARCH: ICAMSER-2021
In healthcare cloud computing is increasing efficiency whilst decreasing the cost in many aspects... more In healthcare cloud computing is increasing efficiency whilst decreasing the cost in many aspects. Things are becoming easier and safer by using cloud-based Internet of Things (IoT) as well as cloud computing provides so many useful services. But there are somelimitations of cloud computing like high latency and error in a large amount of data transmission, which cannot be tolerated in many healthcare emergencies cases because delay and inaccurate data or results may affect crucially on human life and a wrong decision can be made. The innovation of Fog Computing has solved the problem of high latency and bandwidth, by creating a Fog layer between the end-user and cloud computing. In today's scenario, Heart disease is a major cause of death and many heart problems happen slowly over time. Fog-cloud computing-based IoT devices are so useful to diagnose heart problems in the early stage and if found any abnormality in the result also notify the end-user and immediate treatment can be given to the patient. Here you find Here Healthfog is a new concept coupled with deep learning sets in leading devices and automatically structured for use in real-time heart disease analysis. It relies on Fog services in IoT devices and handles the data of cardiac patients efficiently. With this model, FogBus is used to set up and measure the latency, bandwidth, accuracy and power consumption efficiency of this model. This model provides the best Quality of Service (QoS).
Skin lesions detection and classification is a prominent issue and difficult even for extremely s... more Skin lesions detection and classification is a prominent issue and difficult even for extremely skilled dermatologists and pathologists. Skin disease is the most common disorder triggered by fungus, viruses, bacteria, allergies, etc. Skin diseases are most dangerous and may be the cause of serious damage. Therefore, it requires to diagnose it at an earlier stage, but the diagnosis therapy itself is complex and needs advanced laser and photonic therapy. This advance therapy involves financial burden and some other ill effects. Therefore, it must use artificial intelligence techniques to detect and diagnose it accurately at an earlier stage. Several techniques have been proposed to detect skin disease at an earlier stage but fail to get accuracy. Therefore, the primary goal of this paper is to classify, detect and provide accurate information about skin diseases. This paper deals with the same issue by proposing a high-performance Convolution neural network (CNN) to classify and detect skin disease at an earlier stage. The complete methodology is explained in different folds: firstly, the skin diseases images are preprocessed with processing techniques, and secondly, the important feature of the skin images are extracted. Thirdly, the pre-processed images are analyzed at different stages using a Deep Convolution Neural Network (DCNN). The approach proposed in this paper is simple, fast, and shows accurate results up to 98% and used to detect six different disease types.
New Business Paradigm using Sentiment Analysis Algorithm
2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)
This research paper gives a detailed idea of the working of the Sentiment analysis algorithm and ... more This research paper gives a detailed idea of the working of the Sentiment analysis algorithm and how it is used currently. It also peeks into the history and explains what brings in the paradigm change and how it benefited the business and helped them evolve. Lastly concluding with some potential alternate use cases for the same algorithm that can help society as well.
An Efficient IoT E-Environment System to Monitor and Control Air, Water, Sound Pollutions of Educational Institutions to Maintain Hygienics Principles on Behalf of Covid-19 Pandemic Situation
International Journal of Innovative Research in Technology, May 11, 2020
Industry is a group of enterprises or organizations or companies that produce goods and provides ... more Industry is a group of enterprises or organizations or companies that produce goods and provides services in an economy. The latest age of industrialization came due to the high usage of Artificial Intelligence, IoT (Internet of Things), Robotics and augmented reality in the industries. Education system gets affected by any changes that happen around the world be it in the field of technology or arts or archaeology. A Students point and his understanding is required to observed and addressed.
The country's infrastructure needed to be reassessed, with an emphasis on improving rural hea... more The country's infrastructure needed to be reassessed, with an emphasis on improving rural health infrastructure through government facilities and nursing homes, as well as increased manpower, while increasing district-level capabilities. The covid-19 epidemic uncovered a systemic flaw and highlighted our investment in public health infrastructure as a whole. Equipment, medicine, and vaccine supplies are all in short supply, as is a skilled crew, an unmanageable caseload, clean restrooms, and the total health facility. Fitch Solutions warned that despite extra financing, the ongoing paucity of medical investment and health infrastructure would pose hurdles in terms of establishing an effective response to the COVID-19 epidemic in India. The research further states that the government's desire for universal health care coverage will boost growth in India's pharmaceutical and health care markets. The improvement of business environments and anticipated health care changes w...
Extended Network Lifespan with Fault-Tolerant Information Transmission
2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), 2021
Wireless sensor networks’ primary goal is to reliably convey data while taking into consideration... more Wireless sensor networks’ primary goal is to reliably convey data while taking into consideration the limited memory and battery power of each sensor node. In the wireless sensor networks, memory capacity and power consumption are tradeoffs. Fault tolerance is critical in such networks for delivering reliable data from the base station to the mobile nodes. In this study, a low-power fault-tolerant strategy for information transfer is provided to extend the life span of the network.
INTERNATIONAL CONFERENCE ON ADVANCES IN MULTI-DISCIPLINARY SCIENCES AND ENGINEERING RESEARCH: ICAMSER-2021
In healthcare cloud computing is increasing efficiency whilst decreasing the cost in many aspects... more In healthcare cloud computing is increasing efficiency whilst decreasing the cost in many aspects. Things are becoming easier and safer by using cloud-based Internet of Things (IoT) as well as cloud computing provides so many useful services. But there are somelimitations of cloud computing like high latency and error in a large amount of data transmission, which cannot be tolerated in many healthcare emergencies cases because delay and inaccurate data or results may affect crucially on human life and a wrong decision can be made. The innovation of Fog Computing has solved the problem of high latency and bandwidth, by creating a Fog layer between the end-user and cloud computing. In today's scenario, Heart disease is a major cause of death and many heart problems happen slowly over time. Fog-cloud computing-based IoT devices are so useful to diagnose heart problems in the early stage and if found any abnormality in the result also notify the end-user and immediate treatment can be given to the patient. Here you find Here Healthfog is a new concept coupled with deep learning sets in leading devices and automatically structured for use in real-time heart disease analysis. It relies on Fog services in IoT devices and handles the data of cardiac patients efficiently. With this model, FogBus is used to set up and measure the latency, bandwidth, accuracy and power consumption efficiency of this model. This model provides the best Quality of Service (QoS).
Skin lesions detection and classification is a prominent issue and difficult even for extremely s... more Skin lesions detection and classification is a prominent issue and difficult even for extremely skilled dermatologists and pathologists. Skin disease is the most common disorder triggered by fungus, viruses, bacteria, allergies, etc. Skin diseases are most dangerous and may be the cause of serious damage. Therefore, it requires to diagnose it at an earlier stage, but the diagnosis therapy itself is complex and needs advanced laser and photonic therapy. This advance therapy involves financial burden and some other ill effects. Therefore, it must use artificial intelligence techniques to detect and diagnose it accurately at an earlier stage. Several techniques have been proposed to detect skin disease at an earlier stage but fail to get accuracy. Therefore, the primary goal of this paper is to classify, detect and provide accurate information about skin diseases. This paper deals with the same issue by proposing a high-performance Convolution neural network (CNN) to classify and detect skin disease at an earlier stage. The complete methodology is explained in different folds: firstly, the skin diseases images are preprocessed with processing techniques, and secondly, the important feature of the skin images are extracted. Thirdly, the pre-processed images are analyzed at different stages using a Deep Convolution Neural Network (DCNN). The approach proposed in this paper is simple, fast, and shows accurate results up to 98% and used to detect six different disease types.
New Business Paradigm using Sentiment Analysis Algorithm
2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)
This research paper gives a detailed idea of the working of the Sentiment analysis algorithm and ... more This research paper gives a detailed idea of the working of the Sentiment analysis algorithm and how it is used currently. It also peeks into the history and explains what brings in the paradigm change and how it benefited the business and helped them evolve. Lastly concluding with some potential alternate use cases for the same algorithm that can help society as well.
An Efficient IoT E-Environment System to Monitor and Control Air, Water, Sound Pollutions of Educational Institutions to Maintain Hygienics Principles on Behalf of Covid-19 Pandemic Situation
International Journal of Innovative Research in Technology, May 11, 2020
Industry is a group of enterprises or organizations or companies that produce goods and provides ... more Industry is a group of enterprises or organizations or companies that produce goods and provides services in an economy. The latest age of industrialization came due to the high usage of Artificial Intelligence, IoT (Internet of Things), Robotics and augmented reality in the industries. Education system gets affected by any changes that happen around the world be it in the field of technology or arts or archaeology. A Students point and his understanding is required to observed and addressed.
The country's infrastructure needed to be reassessed, with an emphasis on improving rural hea... more The country's infrastructure needed to be reassessed, with an emphasis on improving rural health infrastructure through government facilities and nursing homes, as well as increased manpower, while increasing district-level capabilities. The covid-19 epidemic uncovered a systemic flaw and highlighted our investment in public health infrastructure as a whole. Equipment, medicine, and vaccine supplies are all in short supply, as is a skilled crew, an unmanageable caseload, clean restrooms, and the total health facility. Fitch Solutions warned that despite extra financing, the ongoing paucity of medical investment and health infrastructure would pose hurdles in terms of establishing an effective response to the COVID-19 epidemic in India. The research further states that the government's desire for universal health care coverage will boost growth in India's pharmaceutical and health care markets. The improvement of business environments and anticipated health care changes w...
Extended Network Lifespan with Fault-Tolerant Information Transmission
2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), 2021
Wireless sensor networks’ primary goal is to reliably convey data while taking into consideration... more Wireless sensor networks’ primary goal is to reliably convey data while taking into consideration the limited memory and battery power of each sensor node. In the wireless sensor networks, memory capacity and power consumption are tradeoffs. Fault tolerance is critical in such networks for delivering reliable data from the base station to the mobile nodes. In this study, a low-power fault-tolerant strategy for information transfer is provided to extend the life span of the network.
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Papers by Abhineet Anand