Satyasis Mishra
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View article: DynamicAdaptiveClimb: Adaptive Cache Replacement with Dynamic Resizing
DynamicAdaptiveClimb: Adaptive Cache Replacement with Dynamic Resizing Open
Efficient cache management is critical for optimizing the system performance, and numerous caching mechanisms have been proposed, each exploring various insertion and eviction strategies. In this paper, we present AdaptiveClimb and its ext…
View article: Network reconfiguration and DG based compensation of Wolaita Sodo distribution system by using particle swarm optimisation
Network reconfiguration and DG based compensation of Wolaita Sodo distribution system by using particle swarm optimisation Open
Improving voltage profiles and reducing power losses are critical challenges in modern distribution systems, especially in real, unbalanced and weakly interconnected grids. This study presents a novel application of simultaneous network re…
View article: Estimation of state of health for lithium-ion batteries using advanced data-driven techniques
Estimation of state of health for lithium-ion batteries using advanced data-driven techniques Open
View article: Disseminating a Fair Emergency Message With V2V Communication Technology in VANET
Disseminating a Fair Emergency Message With V2V Communication Technology in VANET Open
Vehicular ad hoc networks (VANETs) are nodes moving at a high speed compared to mobile ad hoc networks (MANETs). Network‐connected nodes can exchange safety or nonsafety messages within themselves or other infrastructures, such as vehicle‐…
View article: Improved Deviation Sparse Fuzzy C‐Means‐2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm‐Wavelet Extreme Learning Machine for Brain Tumor Detection and Classification
Improved Deviation Sparse Fuzzy C‐Means‐2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm‐Wavelet Extreme Learning Machine for Brain Tumor Detection and Classification Open
The brain tumor grows abnormally in the human brain, which causes brain cancer. Death rates have been rising annually for the past few decades due to negligence of early treatment of brain tumors. To reduce the death rate, early identifica…
View article: A Case Report of Tumor Induced Osteomalacia Due to Mesenchymal Tumor in the Temporal Bone
A Case Report of Tumor Induced Osteomalacia Due to Mesenchymal Tumor in the Temporal Bone Open
Tumor Induced Osteomalacia (TIO) is a paraneoplastic syndrome characterized by renal phosphate wasting due to excess production of fibroblast growth factor (FGF23). The average lag period between the initial clinical manifestations and the…
View article: Design Of Compensator Using Moment Matching Algorithm
Design Of Compensator Using Moment Matching Algorithm Open
A novel method of model reduction was created for stable linear dynamic systems on a vast scale. The authors have tried to preserve time moments and prevailing modes. Through this reduction, the overall significant properties contained in …
View article: Studies on Growth, Productivity and Economics of Oats Fodder as Influenced by Different Levels of NPK Fertilizers and Foliar Spray of ZnSO4 and Borax in Red and Lateritic Soil of West Bengal
Studies on Growth, Productivity and Economics of Oats Fodder as Influenced by Different Levels of NPK Fertilizers and Foliar Spray of ZnSO4 and Borax in Red and Lateritic Soil of West Bengal Open
A field experiment was carried out during November–January, 2020–21 and 2021–22 at Institute of Agriculture, Visva–Bharati, Sriniketan, West Bengal to evaluate the response of NPK fertilizers and foliar application of ZnSO4 and borax towar…
View article: Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine
Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine Open
The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. There is an immediate requirement for effective mo…
View article: Implementation of a hybrid neural network control technique to a cascaded MLI based SAPF
Implementation of a hybrid neural network control technique to a cascaded MLI based SAPF Open
This paper presents a naïve back propagation (NBP) based $$i\cos \emptyset$$ technique implemented to a cascaded multilevel inverter (MLI) based shunt active power filter (SAPF). The recommended control algorithm is applied to extract…
View article: Local Linear Wavelet Neural Network–Based Unscented Kalman Filter for Vehicle Collision Estimate Warning System and Ensuring Stable Vehicle‐to‐Infrastructure Communication
Local Linear Wavelet Neural Network–Based Unscented Kalman Filter for Vehicle Collision Estimate Warning System and Ensuring Stable Vehicle‐to‐Infrastructure Communication Open
The accident mortality rates are rapidly increasing due to driver inattention, and traffic accidents become a significant problem on a global scale. For this reason, advanced driver assistance systems (ADASs) are essential to enhance traff…
View article: Brain Tumor Detection and Classification Using IFF‐FLICM Segmentation and Optimized ELM Model
Brain Tumor Detection and Classification Using IFF‐FLICM Segmentation and Optimized ELM Model Open
Brain cancer deaths are significantly increased in all categories of aged persons due to the abnormal growth of brain tumor tissues in the brain. The death rate can be controlled by accurate early stage brain tumor diagnosis. The detection…
View article: Phenological growth and development stages of common fig (<i>Ficus carica</i> L.) under arid climate of India
Phenological growth and development stages of common fig (<i>Ficus carica</i> L.) under arid climate of India Open
Arid region is characterised by extreme climatic condition, poor soil health and over-exploitation of natural resources. Under prevailing conditions of arid India, Ficus carica is an emerging fruit crop with high commercial value and nutri…
View article: Review of: "Tweeting AI: A Machine Learning Approach for Bird Species Detection and Classification"
Review of: "Tweeting AI: A Machine Learning Approach for Bird Species Detection and Classification" Open
* The paper is well organized. * There is no citation, references. * The dataset division for training and testing is not clear. * The figures resolution need improvement. * Validation of proposed method is not clear.
View article: Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm
Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm Open
Effective workflow scheduling in cloud computing is still a challenging problem as incoming workflows to cloud console having variable task processing capacities and dependencies as they will arise from various heterogeneous resources. Ine…
View article: SLA Aware Task-Scheduling Algorithm in Cloud Computing Using Whale Optimization Algorithm
SLA Aware Task-Scheduling Algorithm in Cloud Computing Using Whale Optimization Algorithm Open
Task scheduling in Cloud Computing paradigm poses new challenges for cloud provider as heterogeneous, diversified tasks arrived on to cloud console. To schedule these type of tasks efficiently on to virtual resources in cloud paradigm, an …
View article: Standardization of smartphone assembly for fundus imaging in dogs
Standardization of smartphone assembly for fundus imaging in dogs Open
View article: Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model
Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model Open
Breast cancer is characterized by abnormal discontinuities in the lining cells of a woman’s milk duct. Large numbers of women die from breast cancer as a result of developing symptoms in the milk ducts. If the diagnosis is made early, the …
View article: Seizure detection using integrated metaheuristic algorithm based ensemble extreme learning machine
Seizure detection using integrated metaheuristic algorithm based ensemble extreme learning machine Open
In biomedical research, the brain signal analysis occupies an important space in recent days. Mostly Epileptic seizure detection is a challenging task for all brain signal researcher. In this paper ensemble approach is considered for seizu…
View article: Development of a successful IFS model for livelihood sustenance of small households of Uttar Pradesh
Development of a successful IFS model for livelihood sustenance of small households of Uttar Pradesh Open
An experiment was conducted at research farm of ICAR-Indian Institute of Farming Systems Research, Modipuram, Uttar Pradesh during 2016–17 to 2018–19 to develop integrated farming systems (IFS) model which has diverse commodities/component…
View article: Improving Spectrum Sensing for Cognitive Radio Network Using the Energy Detection with Entropy Method
Improving Spectrum Sensing for Cognitive Radio Network Using the Energy Detection with Entropy Method Open
Spectrum is one of the world’s most highly regulated and limited natural resources. Cognitive Radio (CR) is a cutting-edge technology that aims to solve the future spectrum shortage issue in wireless communication systems. CR is one of the…
View article: A Novel Machine Learning Approach for Detection of Coronary Artery Disease Using Reduced Non-linear and Chaos Features
A Novel Machine Learning Approach for Detection of Coronary Artery Disease Using Reduced Non-linear and Chaos Features Open
In this research paper, authors present an automated system in this paper that integrates a ranking technique with Principal Component Analysis (PCA), Generalized Discriminant Analysis (GDA) and a 1-Norm Bidirectional Extreme Learning Mach…
View article: Efficient Hybrid Iterative Method for Signal Detection in Massive MIMO Uplink System over AWGN Channel
Efficient Hybrid Iterative Method for Signal Detection in Massive MIMO Uplink System over AWGN Channel Open
Massive multiple input multiple output (massive MIMO) is a key technology in fifth-generation (5G) and beyond fifth-generation (B5G) networks. It improves performance metrics such as gain, energy efficiency, spectral efficiency, and bit er…
View article: Phenotypic diversity for fruit quality traits and bioactive compounds in red-fleshed guava: Insights from multivariate analyses and machine learning algorithms
Phenotypic diversity for fruit quality traits and bioactive compounds in red-fleshed guava: Insights from multivariate analyses and machine learning algorithms Open
Precise characterization of genetic resources is critically important for developing high yielding and nutri-rich guava cultivars. This study aimed at delineating phenotypic diversity for fruit yield, quality and bioactive compounds in the…
View article: Ethiopian Banknote Recognition Using Convolutional Neural Network and Its Prototype Development Using Embedded Platform
Ethiopian Banknote Recognition Using Convolutional Neural Network and Its Prototype Development Using Embedded Platform Open
Money transactions can be performed by automated self-service machines like ATMs for money deposits and withdrawals, banknote counters and coin counters, automatic vending machines, and automatic smart card charging machines. There are fou…
View article: Brain Tumor Segmentation and Classification from MRI Images using Improved FLICM Segmentation and SCA Weight Optimized Wavelet-ELM Model
Brain Tumor Segmentation and Classification from MRI Images using Improved FLICM Segmentation and SCA Weight Optimized Wavelet-ELM Model Open
Image segmentation is an essential technique of brain tumor MRI image processing for automated diagnosis of an image by partitioning it into distinct regions referred to as a set of pixels. The classification of the tumor affected and non-…
View article: Epileptic Seizure Detection using Deep Ensemble Network with Empirical Wavelet Transform
Epileptic Seizure Detection using Deep Ensemble Network with Empirical Wavelet Transform Open
Epileptic seizure attack is caused by abnormal brain activity of human subjects. Certain cases will lead to death. The detection and diagnosis is therefore an important task. It can be performed either by direct patient activity during sei…
View article: Entropy feature and peak-means clustering based slowly moving object detection in head and shoulder video sequences
Entropy feature and peak-means clustering based slowly moving object detection in head and shoulder video sequences Open
With the increase in demand for video conferencing and IOT applications, efficient video coding standards are necessary. The performance of MPEG-4 coding scheme depends on the efficiency of the video object plane (VOP) generation methods. …
View article: Segmentation and Classification of Brain Tumor from Magnetic Resonance Images Using K-Means Algorithm and Hybrid PSO-WCA Based Radial Basis Function Neural Network
Segmentation and Classification of Brain Tumor from Magnetic Resonance Images Using K-Means Algorithm and Hybrid PSO-WCA Based Radial Basis Function Neural Network Open
The manual detection and classification of the tumor becomes a rigorous and hectic task for the radiologists from magnetic resonance images.This paper presents a novel Hybrid PSO-WCA (Particle Swarm Optimization-Water Cycle Algorithm) base…
View article: Status, diversity and potential of semi arid indigenous and minor vegetables of western India
Status, diversity and potential of semi arid indigenous and minor vegetables of western India Open
Semi-arid indigenous and minor vegetables afford excellent opportunities for improvement of human health, and farmer’s household economic and social advancement. These vegetables are ideally suited to accomplish these objectives owing to t…