Software Component Selection: An Optimized Selection Criterion for Component-based Software Engineering (CBSE)

Ahmad Nabot

#Multi-criteria decision making #assessment #evidential reasoning #software component #quality criteria

Software Component Selection: An Optimized Selection Criterion for Component-based Software Engineering (CBSE)

Ahmad Nabot

#Multi-criteria decision making #assessment #evidential reasoning #software component #quality criteria

Classification of Breast Cancer using Ensemble Filter Feature Selection with Triplet Attention Based Efficient Net Classifier

Bangalore Nagaraj Madhukar,Shivanandamurthy Hiremath Bharathi,Matta Polnaya Ashwin

#Breast cancer classification #histopathology image #ensemble filter feature selection #triplet attention based EfficientNet #TAENet

Deep Learning Based Feature Discriminability Boosted Concurrent Metal Surface Defect Detection System Using YOLOv-5s-FRN

Reshma Vengaloor,Roopa Muralidhar

#Classification #defect detection #deep learning #FRN structure #yolov5

Medical Image Registration and Fusion Using Principal Component Analysis

Meisen Pan,Jianjun Jiang,Fen Zhang,Qiusheng Rong

#Centroids #image registration #principal component analysis #image fusion

Using Machine Learning Techniques for Subjectivity Analysis based on Lexical and Non-lexical Features

Hikmat Ullah Khan,Ali Daud

#Machine Learning #classification #opinion mining #lexicon #non-lexical features

An Unsupervised Feed Forward Neural Network Method for Efficient Clustering

Roya Asadi,Mitra Asadi,Shokoofeh Asadi

#Artificial neural network #feed forward neural network #unsupervised learning #clustering #real weight

Induction of Co-existing Items Available in Distributed Version Control Systems for Software Development

Sibel Özyer

#Version control systems #requirement analysis #co-occurrence analysis #natural language processing

LWE Based Quantum-Resistant Pseudo-Random Number Generator

Atul Kumar,Arun Mishra

#Learning with errors #homomorphic function #pseudo-random number generator #homomorphic function #linear feedback shift register #NIST statistical test suite

Additive Metric Composition-Based Load Aware Reliable Routing Protocol for Improving the Quality of Service in Industrial Internet of Things

Anitha Dharmalingaswamy,Latha Pitchai

#Neighbor index #objective function #reliability #residual energy #RSSI

A Robot Path Planning Method Based on Synergy Behavior of Cockroach Colony

Le Cheng,Lyu Chang,Yanhong Song,Haibo Wang,Yuetang Bian

#Cooperative learning #robot path planning #fibonacci transformation #controlling parameters #path compression technique

Hybrid Feature Selection based on BTLBO and RNCA to Diagnose the Breast Cancer

Mohan Allam,Nandhini Malaiyappan

#Hybrid feature selection #binary teaching learning based optimization #neighborhood component analysis

Optimization of Quadrotor Route Planning with Time and Energy Priority in Windy Environments

Hayri İncekara,Murat Selek,Fatih Basciftci

#Unmanned aerial vehicles #quadrotors #quadrotor route planning #windy environments #optimization

Genetic Algorithm with Random and Memory Immigrant Strategies for Solving Dynamic Load Balanced Clustering Problem in Wireless Sensor Networks

Mohaideen Pitchai

#Wireless sensor networks #genetic algorithm #load balanced clustering #random immigrants #memory immigrants

Exact Algorithm for Batch Scheduling on Unrelated Machine

Hemmak Allaoua

#Scheduling #unrelated machine #exact method #parallel machine #batch scheduling

A Hybrid Grey Wolf-Whale Optimization Algorithm for Classification of Corona Virus Genome Sequences using Deep Learning

Muthulakshmi Murugaiah,Murugeswari Ganesan

#Corona virus genome #deep learning #feature selection #GWO #hybrid optimization #WOA

An Adaptive Traffic Lights System using Machine Learning

Mohammad Ashraf Ottom,Ahmad Al-Omari

#Traffic time management #image processing and objects detection #vehicles dataset

An Efficient Method for Contrast Enhancement of

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Kernel Logistic Regression Algorithm for Large Scale Data Classification

classification problems. However, it is often not f ound in large+scale data classification problems an d this is mainly because it

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