Syed Sajjad Hussain Rizvi
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View article: Enhancing Software Quality with AI: A Transformer-Based Approach for Code Smell Detection
Enhancing Software Quality with AI: A Transformer-Based Approach for Code Smell Detection Open
Software quality assurance is a critical aspect of software engineering, directly impacting maintainability, extensibility, and overall system performance. Traditional machine-learning techniques, such as gradient boosting and support vect…
View article: A Systematic Study on Recent Evolutionary Algorithms for Multi-Modal Multi-Objective Optimization
A Systematic Study on Recent Evolutionary Algorithms for Multi-Modal Multi-Objective Optimization Open
The real-world optimization problems are inherently multi-modal and multi-objective (MMMO), such as bio-medical imaging, automotive engine design, plant identification in control systems, inference engine design, etc. This is mainly becaus…
View article: A Systematic Empirical Evaluation of Machine Learning Algorithm on Energy Prediction
A Systematic Empirical Evaluation of Machine Learning Algorithm on Energy Prediction Open
The energy crisis has alerted all scientists and researchers in every field. The evident increase in the usage of electronic items causes high electricity consumption. Especially in residential households and high-rise apartments, building…
View article: Comparative Evaluation of Multi-Objective Optimization Algorithms on a Constrained Benchmark Function Cf1
Comparative Evaluation of Multi-Objective Optimization Algorithms on a Constrained Benchmark Function Cf1 Open
View article: A Novel Optimized Variant of Machine Learning Algorithm for Accurate Energy Demand Prediction for Tetouan City, Morocco
A Novel Optimized Variant of Machine Learning Algorithm for Accurate Energy Demand Prediction for Tetouan City, Morocco Open
Machine learning (ML) algorithms are an essential component of intelligent energy management systems.In the year 2021, a benchmark dataset of the power consumption of Tetouan city was published to train an ML algorithm for accurate energy …
View article: An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms
An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms Open
Data-driven electrical energy efficiency management is the emerging trend in electrical energy forecasting and management. This fusion of data science, artificial intelligence, and electrical energy management has turned out to be the most…
View article: A Novel Deep Learning Model for Sea State Classification Using Visual-Range Sea Images
A Novel Deep Learning Model for Sea State Classification Using Visual-Range Sea Images Open
Wind-waves exhibit variations both in shape and steepness, and their asymmetrical nature is a well-known feature. One of the important characteristics of the sea surface is the front-back asymmetry of wind-wave crests. The wind-wave condit…
View article: Unified DeepLabV3+ for Semi-Dark Image Semantic Segmentation
Unified DeepLabV3+ for Semi-Dark Image Semantic Segmentation Open
Semantic segmentation for accurate visual perception is a critical task in computer vision. In principle, the automatic classification of dynamic visual scenes using predefined object classes remains unresolved. The challenging problems of…
View article: Constrained self regulating particle swarm optimization
Constrained self regulating particle swarm optimization Open
Self regulating particle swarm optimization (SRPSO) is a variant of particle swarm optimization (PSO) which has proved to be a very efficient algorithm for unconstrained optimization compared with other evolutionary algorithms (EAs) and ut…
View article: Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++)
Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++) Open
Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel. Computation of super-pixels…
View article: Machine Learning Approach for Improvement in Kitsune NID
Machine Learning Approach for Improvement in Kitsune NID Open
Network intrusion detection is the pressing need of every communication network. Many network intrusion detection systems (NIDS) have been proposed in the literature to cater to this need. In recent literature, plug-and-play NIDS, Kitsune,…
View article: A Novel Luminance-Based Algorithm for Classification of Semi-Dark Images
A Novel Luminance-Based Algorithm for Classification of Semi-Dark Images Open
Image classification of a visual scene based on visibility is significant due to the rise in readily available automated solutions. Currently, there are only two known spectrums of image visibility i.e., dark, and bright. However, normal e…
View article: An Adaptive Federated Machine Learning-Based Intelligent System for Skin Disease Detection: A Step toward an Intelligent Dermoscopy Device
An Adaptive Federated Machine Learning-Based Intelligent System for Skin Disease Detection: A Step toward an Intelligent Dermoscopy Device Open
The prevalence of skin diseases has increased dramatically in recent decades, and they are now considered major chronic diseases globally. People suffer from a broad spectrum of skin diseases, whereas skin tumors are potentially aggressive…
View article: Predicting Delinquency on Mortgage Loans: An Exhaustive Parametric Comparison of Machine Learning Techniques
Predicting Delinquency on Mortgage Loans: An Exhaustive Parametric Comparison of Machine Learning Techniques Open
This paper explores the potential of 19 machine learning techniques to model and forecasts the risk of delinquency on mortgage loans. These techniques include variants of artificial neural networks (ANN), ensemble classifiers, support vect…
View article: Machine Learning Classification of Port Scanning and DDoS Attacks: A Comparative Analysis
Machine Learning Classification of Port Scanning and DDoS Attacks: A Comparative Analysis Open
Cyber security is one of the major concerns of today’s connected world. For all the platforms of today’s communication technology such as wired, wireless, local and remote access, the hackers are present to corrupt the system functionaliti…
View article: Role of FCBF Feature Selection in Educational Data Mining
Role of FCBF Feature Selection in Educational Data Mining Open
The Educational Data Mining (EDM) is a very vigorous area of Data Mining (DM), and it is helpful in predicting the performance of students. Student performance prediction is not only important for the student but also helpful for academic …
View article: Comprehensive Performance Evaluation Of Network Intrusion System Using Machine Learning Approach
Comprehensive Performance Evaluation Of Network Intrusion System Using Machine Learning Approach Open
Over the last three decades, network devices are increasing due to technology like the Internet of Things (IoT) and Bring Your Own Device (BYOD). These rapidly increasing devices open many venues for network attacks whereas modern attacks …
View article: Directivity Gain Improvement in Phase Array Antenna via a Novel L2-Norm Adaptive Beamforming Algorithm
Directivity Gain Improvement in Phase Array Antenna via a Novel L2-Norm Adaptive Beamforming Algorithm Open
Modulation identification of communication signals is an important content of the electronic countermeasure procedure and a hot topic in the research field of signal processing.Generally speaking, the essential problem of communication sig…