Basant Kumar
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View article: Leveraging Hybrid Deep Q-Learning for Early Identification of At-Risk Students
Leveraging Hybrid Deep Q-Learning for Early Identification of At-Risk Students Open
Student performance prediction is employed to predict the learning performance to identify at-risk students. However, prediction models should also consider external factors along with learning activities, such as course duration. The stud…
View article: Reliability Analysis and Clinical Validation of Smart Portable ECG Devices for Home Patient Cardiac Care
Reliability Analysis and Clinical Validation of Smart Portable ECG Devices for Home Patient Cardiac Care Open
This research paper presents a detailed reliability analysis and validation of a smartphone-based Electrocardiogram (ECG) acquisition device (Spandan) for prior-cardiac disorder detection for home patients. Numerous IoT-based wearable medi…
View article: Design And Implementation Of A Smart Office Network Module Using Visual Simulation Tool
Design And Implementation Of A Smart Office Network Module Using Visual Simulation Tool Open
The modern era demands greater speed, efficiency, and quality in every aspect of life. Smart technologies, particularly the Internet of Things (IoT), have revolutionized the way people live and work. In this research paper, we explore the …
View article: The Use of Machine Learning in Digital Forensics: Review Paper
The Use of Machine Learning in Digital Forensics: Review Paper Open
With the increase of cybercrimes in the current years, digital forensics has become an important matter to study in order achieve quality evidence.Forensic investigators face difficulties with data collection and analysis to reconstruct ev…
View article: Design and Execution of Secure Smart Home Environments on Visual Simulation Tool
Design and Execution of Secure Smart Home Environments on Visual Simulation Tool Open
The advent of smart technologies is going to be a paradigm shift and game changer in resolving current universal issues such as climate change, cybersecurity, health care, mental health, insecure home, food, water, and energy.Evolving smar…
View article: IoT-Enabled Smart Cities: A Review of Security Frameworks, Privacy, Risks and Key Technologies
IoT-Enabled Smart Cities: A Review of Security Frameworks, Privacy, Risks and Key Technologies Open
Smart cities are becoming increasingly popular worldwide as cities grow; technology evolves and improves daily.The internet of things devices are used in smart cities that are all interconnected to run critical systems that a city requires…
View article: Healthcare Information Exchange Using Blockchain and Machine Learning
Healthcare Information Exchange Using Blockchain and Machine Learning Open
In several industries, including healthcare, new technologies like blockchain and machine learning are being leveraged to generate innovative solutions.A blockchain network is used in the healthcare system, coupled with machine learning, t…
View article: Investigation about the lipid composition of some freshwater fishes.
Investigation about the lipid composition of some freshwater fishes. Open
In this work we were study about the lipid composition of some fresh water fishes collected from Darbhanga locality.Fish is consumed in this Gangetic plain mainly for protein and lipids.Fishes contain unsaturated fatty acids as lipidcompon…
View article: The (In) Security o Smart Cities: Vulnerabilities, Risks, Mitigation and Prevention
The (In) Security o Smart Cities: Vulnerabilities, Risks, Mitigation and Prevention Open
Smart cities represent the overall development in an urban model utilizing human, and technological enhancement leading to an increase in economic and social opportunities. However, the significant challenges were observed with the rise of…
View article: MANAGING AND STORAGE DETECTION OF EFFECTIVE RE PROTECT IN WSNS
MANAGING AND STORAGE DETECTION OF EFFECTIVE RE PROTECT IN WSNS Open
Using the Copy Recognition procedure, it is designed to increase the recognition. Objective will a procedure for the Recognition of Distributed Copies with Random Selection of Witnesses to increase the probability of identifying cloning as…
View article: A Bayesian Multiresolution Approach for Noise Removal in Medical Magnetic Resonance Images
A Bayesian Multiresolution Approach for Noise Removal in Medical Magnetic Resonance Images Open
A Bayesian approach using wavelet coefficient modeling is proposed for de-noising additive white Gaussian noise in medical magnetic resonance imaging (MRI). In a parallel acquisition process, the magnetic resonance image is affected by whi…