Saroj Kumar Pandey
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View article: Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases
Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases Open
Purpose This study presents NeuroDL, a novel deep learning‐based diagnostic framework designed for the automated detection of brain tumors and Alzheimer's disease (AD) using magnetic resonance imaging (MRI). The objective is to enhance dia…
View article: Development of a clinical decision support system for breast cancer detection using ensemble deep learning
Development of a clinical decision support system for breast cancer detection using ensemble deep learning Open
View article: Adaptive <scp>DNA</scp> Cryptography With Intelligent Machine Learning for Cloud Data Defense
Adaptive <span>DNA</span> Cryptography With Intelligent Machine Learning for Cloud Data Defense Open
With the exponential growth of sensitive data generated and stored in cloud environments, traditional cryptographic techniques are increasingly strained in addressing emerging security threats. While DNA cryptography offers promising secur…
View article: BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models
BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models Open
View article: Retraction Note: Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
Retraction Note: Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review Open
View article: WHOOPH: whale optimization-based optimal placement of hub node within a WBAN
WHOOPH: whale optimization-based optimal placement of hub node within a WBAN Open
Biosensor nodes of a wireless body area network (WBAN) transmit physiological parameter data to a central hub node, spending a substantial portion of their energy. Therefore, it is crucial to determine an optimal location for hub placement…
View article: CARDPSoML: Comparative approach to analyze and predict cardiovascular disease based on medical report data and feature fusion approach
CARDPSoML: Comparative approach to analyze and predict cardiovascular disease based on medical report data and feature fusion approach Open
Background and Aims Diabetes patients are at high risk for cardiovascular disease (CVD), which makes early identification and prompt management essential. To diagnose CVD in diabetic patients, this work attempts to provide a feature‐fusion…
View article: Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM
Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM Open
View article: Semi-Supervised Clustering-Based DANA Algorithm for Data Gathering and Disease Detection in Healthcare Wireless Sensor Networks (WSN)
Semi-Supervised Clustering-Based DANA Algorithm for Data Gathering and Disease Detection in Healthcare Wireless Sensor Networks (WSN) Open
Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare, enabling continuous patient monitoring and early disease detection. This study introduces an innovative approach to WSN data collection tailored for dise…
View article: Health evaluation and dangerous reptile detection using a novel framework powered by the YOLO algorithm to design high‐content cellular imaging systems
Health evaluation and dangerous reptile detection using a novel framework powered by the YOLO algorithm to design high‐content cellular imaging systems Open
This novel approach in animal biology could revolutionize identifying endangered species, addressing the issue of misclassifying potentially harmful animals based solely on visual characteristics. Particularly impactful for farmers in agri…
View article: Stability Analysis and Navigational Techniques of Wheeled Mobile Robot: A Review
Stability Analysis and Navigational Techniques of Wheeled Mobile Robot: A Review Open
Wheeled mobile robots (WMRs) have been a focus of research for several decades, particularly concerning navigation strategies in static and dynamic environments. This review article carefully examines the extensive academic efforts spannin…
View article: OptiDJS+: A Next-Generation Enhanced Dynamic Johnson Sequencing Algorithm for Efficient Resource Scheduling in Distributed Overloading within Cloud Computing Environment
OptiDJS+: A Next-Generation Enhanced Dynamic Johnson Sequencing Algorithm for Efficient Resource Scheduling in Distributed Overloading within Cloud Computing Environment Open
The continuously evolving world of cloud computing presents new challenges in resource allocation as dispersed systems struggle with overloaded conditions. In this regard, we introduce OptiDJS+, a cutting-edge enhanced dynamic Johnson sequ…
View article: Inferring linear-B cell epitopes using 2-step metaheuristic variant-feature selection using genetic algorithm
Inferring linear-B cell epitopes using 2-step metaheuristic variant-feature selection using genetic algorithm Open
Linear-B cell epitopes (LBCE) play a vital role in vaccine design; thus, efficiently detecting them from protein sequences is of primary importance. These epitopes consist of amino acids arranged in continuous or discontinuous patterns. Va…
View article: AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector
AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector Open
Every real-world scenario is now digitally replicated in order to reduce paperwork and human labor costs. Machine Learning (ML) models are also being used to make predictions in these applications. Accurate forecasting requires knowledge o…
View article: Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm
Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm Open
In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer’s Disease (AD) and brain tumors are the primary reasons of death. The studies of these diseases are carried out by Magnetic Resonance Imaging (MRI),…
View article: Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model
Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model Open
Attackers are now using sophisticated techniques, like polymorphism, to change the attack pattern for each new attack. Thus, the detection of novel attacks has become the biggest challenge for cyber experts and researchers. Recently, anoma…
View article: Correction to: development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities
Correction to: development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities Open
View article: Gated Recurrent Units and Recurrent Neural Network Based Multimodal Approach for Automatic Video Summarization
Gated Recurrent Units and Recurrent Neural Network Based Multimodal Approach for Automatic Video Summarization Open
A typical video record aggregation system requires the concurrent performance of a large number of image processing tasks, including but not limited to image acquisition, pre-processing, segmentation, feature extraction, verification, and …
View article: Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities
Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities Open
Cloud computing is the most recent smart city advancement, made possible by the increasing volume of heterogeneous data produced by apps. More storage capacity and processing power are required to process this volume of data. Data analytic…
View article: Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model
Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model Open
In India, over 25,000 people have died from cardiovascular annually over the past 4 years , and over 28,000 in the previous 3 years. Most of the deaths nowadays are mainly due to cardiovascular diseases (CVD). Arrhythmia is the leading cau…
View article: Statistical Evaluation of Video Summarization Models from an Empirical Perspective
Statistical Evaluation of Video Summarization Models from an Empirical Perspective Open
Video summarization is the process of creating a shortened version of a longer video while retaining its essential content and meaning.It entails automatically identifying the most important parts of the video and selecting the relevant fr…
View article: Development of Cloud Autonomous System for Enhancing the Performance of Robots’ Path
Development of Cloud Autonomous System for Enhancing the Performance of Robots’ Path Open
With the development of computer technology and artificial intelligence (AI), service robots are widely used in our daily life. At the same time, the manufacturing cost of the robots is too expensive for almost all small companies. The gre…
View article: Modified Ring Routing Protocol for Mobile Sinks in a Dynamic Sensor Network in Smart Monitoring Applications
Modified Ring Routing Protocol for Mobile Sinks in a Dynamic Sensor Network in Smart Monitoring Applications Open
The stationary hierarchical network faces considerable challenges from hotspots and faster network breakdowns, especially in smart monitoring applications. As a solution to this issue, mobile sinks were recommended since they are associate…
View article: Brain tumor detection using CNN, AlexNet &amp; GoogLeNet ensembling learning approaches
Brain tumor detection using CNN, AlexNet & GoogLeNet ensembling learning approaches Open
The detection of neurological disorders and diseases is aided by automatically identifying brain tumors from brain magnetic resonance imaging (MRI) images. A brain tumor is a potentially fatal disease that affects humans. Convolutional ne…
View article: Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm
Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm Open
Scheduling of robots is one of the imperative assignment in a multi robot system. Scheduling is prerequisite when there is a multiple task need to be assigned to multi robot in an arranged manner. There is a growing need for robots to perf…
View article: Detection of rice plant disease from RGB and grayscale images using an LW17 deep learning model
Detection of rice plant disease from RGB and grayscale images using an LW17 deep learning model Open
Rice is grown almost everywhere in the world, especially in Asian countries, because it is part of the diets of about half of the world's population. However, farmers and planting experts have faced several persistent agricultural obstacl…
View article: A Static Machine Learning Based Evaluation Method for Usability and Security Analysis in E-Commerce Website
A Static Machine Learning Based Evaluation Method for Usability and Security Analysis in E-Commerce Website Open
Measurement of e-commerce usability based on static quantities variable is state-of-the-art because of the adoption of sequential tracing of the next phase in the categorical data. The global COVID-19 outbreak has completely disrupted soci…
View article: Classification of Electrocardiogram Signals Based on Hybrid Deep Learning Models
Classification of Electrocardiogram Signals Based on Hybrid Deep Learning Models Open
According to the analysis of the World Health Organization (WHO), the diagnosis and treatment of heart diseases is the most difficult task. Several algorithms for the classification of arrhythmic heartbeats from electrocardiogram (ECG) sig…
View article: Retracted: Performance optimization of unstructured E‐commerce log data for activity and pattern evaluation using web analytics
Retracted: Performance optimization of unstructured E‐commerce log data for activity and pattern evaluation using web analytics Open
The above article from IET Communications, published online on 4 November 2022 in Wiley Online Library ( wileyonlinelibrary.com ), has been retracted by agreement between the Interim Editor‐in‐Chief, Jian Ren, the Institution of Engineerin…
View article: WHOOPH : Whale Optimization based Optimal Placement of Hub Node within a WBAN
WHOOPH : Whale Optimization based Optimal Placement of Hub Node within a WBAN Open
The biosensor nodes of a wireless body area network (WBAN) are implanted in distinct parts of a patient's body to monitor the body’s vital signs. Further, the WBAN nodes transmit the measured physiological data to a hub node. Hence, an opt…