Papers by raja sarath kumar boddu
International Journal of Computational Biology and Drug Design, 2018
Machine learning techniques are advanced computational techniques which can be used to build the ... more Machine learning techniques are advanced computational techniques which can be used to build the quantitative structure-activity relationship (QSAR) model of compounds dataset to find out important descriptors which are able to predict a specific biological activity from unknown compounds to discover better drugs. In the present study, by optimising descriptors using correlation-based feature selection, principal component analysis, and genetic programming technique, several machine learning techniques were used to build QSAR models on three different experimental datasets of InhA inhibitors. The best QSAR models were deployed on a dataset of 1450 approved drug from drug bank to screen new InhA inhibitors. Amoxicillin was found to show highest predicted activity pIC50 = 6.54, and Itraconazole was the second compound with highest predicted activity 6.4 (pIC50) that was calculated based on the best random forest (RF) model using CFS-GS-FW descriptor set in the dataset of ChEMBL997779 of InhA of Mtb. Additionally, screening by molecular docking identified top-ranked 10 approved drugs as anti-tubercular hits showing G-scores -8.23 to -6.95 (in kcal/mol) as compared with control compounds(known InhA Mtb inhibitors) G-scores -7.86 to -6.68 (in kcal/mol). Thus results indicate these potent compounds may have the better binding affinity for InhA of Mtb. From our studies, we conclude that machine learning based QSAR models can be useful for the development of novel target specific anti-tubercular compounds.
Journal of autonomous intelligence, Mar 1, 2024
All of the articles in this proceedings volume have been presented at 2 nd International Conferen... more All of the articles in this proceedings volume have been presented at 2 nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023) during April 21-23, 2023 in Beijing, China. These articles have been peer reviewed by the members of the [Scientific Committees and reviewers] and approved by the Editor-in-Chief, who affirms that this document is a truthful description of the conference's review process. K. Hemachandran-Editors-in-Chief of the ICAID 2023.
International journal of clinical case reports and reviews, Aug 23, 2023
World Health Organization (WHO) declared the coronavirus diseases COVID-19 is pandemic, as the vi... more World Health Organization (WHO) declared the coronavirus diseases COVID-19 is pandemic, as the virus SARS-CoV2, which causes coronavirus diseases (COVID-19) and its variants has spread all over the world. This pandemic disease, COVID-19 is primarily described as an infectious disease-causing severe acute respiratory syndrome (SARS). Later it transforms into severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virion variant. These virion variants have emerged across the globe with deceptively higher transmissibility and with immunity deteriorate capabilities. In this research paper, it is proposed to compare several ML algorithms to predict the COVID-19 mortality using the various countries data and choose the best performing algorithm as a predictive tool for decision-making. This study aimed to develop a mortality risk prediction for COVID-19 based on ML algorithms that utilize data.
This paper studies selected classification algorithms on medical datasets. The selected medical d... more This paper studies selected classification algorithms on medical datasets. The selected medical datasets are Breast Cancer Data, Chronic Kidney Disease, Cryotherapy, Hepatitis, Immunotherapy, Indian Liver Patient Dataset (ILPD), Liver Disorders, and Liver disorders dataset. ILPD and Liver disorders, pima diabetes, risk factors cervical cancer and Statlog (Heart) Data Set dataset are taken from the UCI repository. The classification algorithms considered here are Naive Bayes, J48, Multilayer perceptron, JRip, IBK and bagging classifiers .
Library and Information Science (LIS) field. With their huge potential these bots may not replace... more Library and Information Science (LIS) field. With their huge potential these bots may not replace the librarians and their jobs but can supplements their functions. 3. Some references are too old and/or not relevant. Further, it is better to have number of references more than 30 and consider more recent references. 4. The paper does not present novel research.
BMC Proceedings, Jul 1, 2012
2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014
Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal... more Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes. In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI. The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands. In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers. Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets. The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.
Qeios
The World Health Organization (WHO) has declared COVID-19 a pandemic, as the SARS-CoV-2 virus and... more The World Health Organization (WHO) has declared COVID-19 a pandemic, as the SARS-CoV-2 virus and its variants have spread worldwide, causing coronavirus diseases (COVID-19). COVID-19 is primarily described as an infectious disease that leads to severe acute respiratory syndrome (SARS), later transforming into the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virion variant. These virion variants have emerged globally with deceptively higher transmissibility and immune evasion capabilities. In this research paper, we propose to compare several ML algorithms to predict COVID-19 mortality using data from various countries and select the best performing algorithm as a predictive tool for decision-making. The study aims to develop a mortality risk prediction for COVID-19 based on ML algorithms that utilize data.
World Health Organization (WHO) declared the coronavirus diseases COVID-19 is pandemic, as the vi... more World Health Organization (WHO) declared the coronavirus diseases COVID-19 is pandemic, as the virus SARS-CoV2, which causes coronavirus diseases (COVID-19) and it variants has spread all over the world. This pandemic disease, COVID-19 is primarily described as an infectious disease-causing severe acute respiratory syndrome (SARS). Later it transforms into severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virion variant. These virion variants have emerged across the globe with deceptively higher transmissibility and with immunity deteriorate capabilities. In this research paper, it is proposed to compare several ML algorithms to predict the COVID-19 mortality using the various countries data and choose the best performing algorithm as a predictive tool for decision-making. This study aimed to develop a mortality risk prediction for COVID-19 based on ML algorithms that utilize data.
2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA)
Materials Today: Proceedings
Materials Today: Proceedings, 2021
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), 2021
Computer without network connectivity is an exception today. Earlier everyone was using the compu... more Computer without network connectivity is an exception today. Earlier everyone was using the computer to solve its individual problem. Now a days these problems related application is not available on the standalone desktop, these applications are working as a client server application. In this system, server part is available at some remote machine while the client part is available at user’s machine. Cloud computing is implemented using the four deployment models private cloud, public cloud, cloud hybrid and community cloud. Some of the user organization feels that the data can be misused by the company who owned the infrastructure. As a result, either they do not use the cloud services hosted on public cloud or they use only some limited services, so negate the use of cloud computing to a great extent. The solution to this is provided by the evolution of hybrid cloud. The corporate that feels security as one of the major issues in migration to cloud computing makes the use of hybrid cloud for their usage.
Materials Today: Proceedings, 2021
Technological innovation or AI is enabled to determine the human's cognitive acti... more Technological innovation or AI is enabled to determine the human's cognitive activities. ML, AI and automation processes made rapid changes in the pharma industry. The use of different analytic techniques helped to decrease the mortality rate worldwide. Uses of the AI tools help to determine the critical disease. Identification of genetic disputes is important for diagnosis and treatment. The growing technology helps to identify the dose errors in pharma companies. Currency analysis, frequent spectral analysis and the feature attraction process are necessary for Machine Learning (ML). Industry 4.0, ML considers the effectiveness of ML. Development of the intelligence computer programme is important for machine simulation. Moreover, it increases problem-solving skills in the pharma industry. The introduction sheds light on the entire project. The literature review has discussed the role of technological advantages in the medical industry. The impact of AI, ML and automation processes enhance profitability. The advantages and disadvantages of AI, ML and automation processes have been discussed in the literature review. In the methodology section, the secondary methodology has been chosen. Some inclusion and exclusion criteria have been concerned for the collection of effective information on the research topic. Cloud computing, cognitive systems and big data analysis, R&D process make huge changes in the pharma company. Increasing the use of the automation process provides safety and consistency to develop interconnectivity between the market demands, production rate of medicines. Recommendation and conclusion will be provided to maintain accuracy throughout the research paper.
The latest technology for next generation Wireless networking is Wireless Mesh Networks (WMNs), w... more The latest technology for next generation Wireless networking is Wireless Mesh Networks (WMNs), with low cost and easy deploying. The WMNs are desirable for communication paradigm. The WMNs are more advantageous over other wireless networks. The existing routing protocols which transmits the traffic through pre-determined path which don’t provide security. This paper proposes a routing protocol called simplistic constructive routing protocol (SPRP) which supports multiple flows in wireless mesh networks. There are four major components in the SPRP which provides fairness and high throughput: 1) To minimize the multiple data transmissions Constructive forwarding path selection to provide multiple paths while minimizing duplicate transmissions, 2) Constructive rate control to determine an appropriate transfer rate according to the current network conditions. 3) Inter node loss recovery to efficiently find and resend lost packets, and 4) clock-based forwarding to let only the priorit...
Materials Today: Proceedings, 2021
Cancer victims, particularly those with lung cancer, are more susceptible and at higher danger of... more Cancer victims, particularly those with lung cancer, are more susceptible and at higher danger of COVID-19 and associated consequences as a result of their compromised immune systems, which makes them particularly sensitive. Because of a variety of circumstances, cancer patients' diagnosis, treatment, and aftercare are very complicated and time-consuming during an epidemic. In such circumstances, advances in artificial intelligence (AI) and machine learning algorithms (ML) offer the capacity to boost cancer sufferer diagnosis, therapy, and care via the use of cutting technologies. For example, using clinical and imaging data combined with machine learning methods, the researchers may be able to distinguish among lung alterations induced by corona virus and those produced by immunotherapy and radiation. During this epidemic, artificial intelligence (AI) may be utilized to guarantee that the appropriate individuals are recruited in cancer clinical trials more quickly and effectively than in the past, which was done in a conventional and complicated manner. In order to better care for cancer patients and find novel and more effective therapies, It is critical that we move beyond traditional research methods and use artificial intelligence (AI) and machine learning to update our research (ML). Artificial intelligence (AI) and machine learning (ML) are being utilised to help with several aspects of the COVID-19 epidemic, such as epidemiology, molecular research and medication development, medical diagnosis and treatment, and socioeconomics. The use of artificial intelligence (AI) and machine learning (ML) in the diagnosis and treatment of COVID-19 patients is also being investigated. The combination of artificial intelligence and machine learning in COVID-19 may help to identify positive patients more quickly. In order to understand the dynamics of an epidemic that is relevant to artificial intelligence, when used in different patient groups, AI-based algorithms can quickly detect CT scans with COVID-19 linked pneumonia, as well as discriminate non-COVID connected pneumonia with high specificity and accuracy. It is possible to utilize the existing difficulties and future views presented in this study to guide an optimal implementation of AI and machine learning technologies in an epidemic.
The Weka GUI Chooser (class weka.gui.GUIChooser) provides a starting point for launching Weka’s m... more The Weka GUI Chooser (class weka.gui.GUIChooser) provides a starting point for launching Weka’s main GUI applications and supporting tools. If one prefers a MDI (“multiple document interface”) appearance, then this is provided by an alternative launcher called “Main” (class weka.gui.Main). The GUI Chooser consists of four buttons—one for each of the four major Weka applications—and four menus • Explorer An environment for exploring data with WEKA (the rest of this documentation deals with this application in more detail). • Experimenter An environment for performing experiments and conduct ing statistical tests between learning schemes. • KnowledgeFlow This environment supports essentially the same functions as the Explorer but with a drag-and-drop interface. One advantage is that it supports incremental learning. • SimpleCLI Provides a simple command-line interface that allows direct execution of WEKA commands for operating systems that do not provide their own command line interface.
One of the most important environmental problems in recent times is dumping of the waste plastics... more One of the most important environmental problems in recent times is dumping of the waste plastics. Recycling holds an assurance for returning of the waste material into service and supports the usage of such materials in construction. To keep away from the pollution crisis, a lot of products are being created from waste plastics that are reusable. The practice of plastic are in a variety of fields but after that waste that it makes contain adverse effect in nature and it’s not likely to control its uses. Polyethylene Terephthalate is typically employed for carbonated beverage as well as water bottles and it is an ecological trouble while waste plastic bottles are complicated to biodegrade and generally involve processes to recycle. Hence progress of pioneering construction materials by means of recycled plastic is significant to construction as well as plastic industries. This has made a way to an enhanced attention in usage of recycled plastic fibres as a secondary strengthening in...
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Papers by raja sarath kumar boddu