A5081133318- Data Mining Algorithms and Applications
- Artificial Intelligence in Healthcare
- Energy Efficient Wireless Sensor Networks
- COVID-19 diagnosis using AI
- Parasitic infections in humans and animals
- Network Security and Intrusion Detection
- Imbalanced Data Classification Techniques
- Regulation of Appetite and Obesity
- South Asian Studies and Conflicts
- Cloud Computing and Resource Management
- Advanced Malware Detection Techniques
- Politics and Conflicts in Afghanistan, Pakistan, and Middle East
- Data Management and Algorithms
- Hand Gesture Recognition Systems
- IoT-based Smart Home Systems
- Distributed and Parallel Computing Systems
- Global Peace and Security Dynamics
- Parasites and Host Interactions
- IoT and Edge/Fog Computing
- AI in cancer detection
- Anomaly Detection Techniques and Applications
- Energy Harvesting in Wireless Networks
- Asian Geopolitics and Ethnography
- Supply Chain Resilience and Risk Management
- Gaze Tracking and Assistive Technology
University of North Texas
2025
Banaras Hindu University
2015-2024
Indian Space Research Organisation
2013-2024
Guilin Medical University
2024
Indian Institute of Technology BHU
2016-2023
Govind Ballabh Pant University of Agriculture and Technology
2023
Symbiosis International University
2022
University of Allahabad
2021
Nehru Gram Bharti University
2018
The University of Texas at San Antonio
2013-2018
Acute phase C-reactive protein (CRP), elevated in obesity and inflammation, is a major binding for leptin. It thought that CRP contributes to leptin resistance by preventing from crossing the blood-brain barrier (BBB). Here we determined how interacts with BBB whether it deters reaching CNS targets.BBB permeability, compartmental distribution, tracer stability, expression of tight junction inflammatory marker were determined.CRP was stable blood, but did not permeate trace amounts. However,...
The epidemic situation may cause severe social and economic impacts on a country. So, there is need for trustworthy prediction model that can offer better results. forecasting result will help in making the prevention policies remedial action time, thus, we reduce overall This article introduces CNN-LSTM hybrid deep learning model, which correctly forecast COVID-19 across India. proposed uses convolutional layers, to extract meaningful information learn from given time series dataset. It...
Virus based epidemic is one of the speedy and widely spread infectious disease which can affect economy country as well it life-threatening too. So, there a need to forecast lifespan, help us in taking preventive measures remedial action on time. These corrective may consist closing schools, malls, theaters, sealing borders, suspension public services, traveling. Resuming such restrictions depends upon outbreak momentum its decay rate. The accurate forecasting lifespan enormously essential...
In the last couple of years, massive growth has been seen in Internet Things (IoT). It is being adopted by all application areas worldwide and playing a vital role making smart environments. IoT based paradigms, millions sensors intelligent devices are linked with each other produce volume data. For data computation analysis, we need computing resources that will able to provide services at edge levels. These may also be capable dealing bandwidth, storage, latency related issues. The...
Abstract In the last decade, we have seen drastic changes in air pollution level, which has become a critical environmental issue. It should be handled carefully towards making solutions for proficient healthcare. Reducing impact of on human health is possible only if data correctly classified. numerous classification problems, are facing class imbalance Learning from imbalanced always challenging task researchers, and time to time, been developed by researchers. this paper, focused dealing...
The outbreak of novel coronavirus (COVID-19) disease has infected more than 135.6 million people globally. For its early diagnosis, researchers consider chest X-ray examinations as a standard screening technique in addition to RT-PCR test. Majority research work till date focused only on application deep learning approaches that is relevant but lacking better pre-processing CXR images. Towards this direction, study aims explore cumulative effects image denoising and enhancement the...
In recent times, the deployment of wireless sensor networks becomes important in revolutionary areas such as smart cities, environmental monitoring, transportation, and industries. The battery power nodes is limited due to which their efficient utilization much necessary irreplaceable. Efficient energy addressed one issues by many researchers recently WSN. Clustering fundamental approaches used for WSNs. clustering method should be effective selection optimal clusters with consumption....
To determine how astrocytic leptin signaling regulates the physiological response of mice to diet-induced obesity (DIO), we performed metabolic analyses and hypothalamic assays on leptin-receptor knockout (ALKO) in which astrocytes lack functional receptor (ObR) signaling. ALKO wild-type (WT) littermate controls were studied at different stages DIO with measurement body wt, percent fat, activity, biochemical parameters. When fed regular chow, had similar food intake, heat dissipation,...
In the last one decade, tremendous growth in data emphasizes big storage and management issues with highest priorities. For providing better support to software developers for dealing problems, new programming platforms are continuously developing Hadoop MapReduce is a game-changer followed by Spark which sets world of on fire its processing speed comfortable APIs. framework emerged as leading tool based model distributed file system. other hand, recently developed analysis used explore...
<abstract><p>A denial-of-service (DoS) attack aims to exhaust the resources of victim by sending packets and ultimately stop legitimate various techniques. The paper discusses consequences distributed (DDoS) attacks in application areas Internet Things (IoT). In this paper, we have analyzed performance machine learning(ML)-based classifiers including bagging boosting techniques for binary classification traffic. For analysis, used benchmark CICDDoS2019 dataset which deals with...