Salman A. AlQahtani
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View article: Design and Analysis of Shortened Bose-Chaudhuri-Hocquenghem Codes for Efficient Data Transmission over the Eisenstein Fields
Design and Analysis of Shortened Bose-Chaudhuri-Hocquenghem Codes for Efficient Data Transmission over the Eisenstein Fields Open
This article focuses on the constructing and decoding for Shortened Bose-Chaudhuri-Hocquenghem (BCH) codes over the Eisenstein fields, based on the Berlekamp-Massey Algorithm (BMA) with improved decoding performance. Thus, Eisenstein field…
View article: Automated Detection of Groundnut Plant Leaf Diseases using Convolutional Neural Networks
Automated Detection of Groundnut Plant Leaf Diseases using Convolutional Neural Networks Open
Background: Groundnuts, commonly known as peanuts, are a significant legume cultivated globally, with China and India being the leading producers. Groundnut production faces challenges from pests, diseases and climate change, impacting yie…
View article: Detection and Classification of Soybean Wilting Across Progressive Stages using Convolutional Neural Network Method
Detection and Classification of Soybean Wilting Across Progressive Stages using Convolutional Neural Network Method Open
Background: Food security being one of the prominent global issues requires strategies to maximize plant productivity with due consideration to sustainability. In this regard, precision agricultural practices are incorporated and are quite…
View article: Deep-ProBind: binding protein prediction with transformer-based deep learning model
Deep-ProBind: binding protein prediction with transformer-based deep learning model Open
Binding proteins play a crucial role in biological systems by selectively interacting with specific molecules, such as DNA, RNA, or peptides, to regulate various cellular processes. Their ability to recognize and bind target molecules with…
View article: Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features
Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features Open
N6,2′-O-dimethyladenosine (m6Am) is a crucial RNA modification that plays a pivotal role in regulating gene expression and maintaining RNA stability. Given its dynamic involvement in various biological processes and diseases, accurately id…
View article: Chronic liver disease detection using ranking and projection-based feature optimization with deep learning
Chronic liver disease detection using ranking and projection-based feature optimization with deep learning Open
The liver is a vital gland responsible for various essential functions such as digestion, metabolism, detoxification, and immunity. Liver diseases caused by infections, injuries, or genetic factors are dangerous and require prompt diagnosi…
View article: Enhancing Chinese Dialogue Generation with Word–Phrase Fusion Embedding and Sparse SoftMax Optimization
Enhancing Chinese Dialogue Generation with Word–Phrase Fusion Embedding and Sparse SoftMax Optimization Open
Chinese dialogue generation faces multiple challenges, such as semantic understanding, information matching, and response fluency. Generative dialogue systems for Chinese conversation are somehow difficult to construct because of the flexi…
View article: An Intelligent Distributed Channel Selection Framework with Hybrid Mode Selection for Interference Mitigation in D2D based 5G Networks
An Intelligent Distributed Channel Selection Framework with Hybrid Mode Selection for Interference Mitigation in D2D based 5G Networks Open
Device-to-device (D2D) communication is an essential part of the 5G system used in cellular networks, which enables devices to communicate with each other without passing the base station BS. It is likely to aid in satisfying increasing ca…
View article: Group Consensus-Driven Energy Consumption Assessment Using Social Network Analysis and Fuzzy Information Fusion
Group Consensus-Driven Energy Consumption Assessment Using Social Network Analysis and Fuzzy Information Fusion Open
With industrial development deepening, the share of industrial energy in overall consumption has notably risen. To assess industrial energy consumption accurately, this paper proposes a method employing interval type-2 fuzzy sets (IT2FSs) …
View article: Analyzing optical soliton solutions in Kairat-X equation via new auxiliary equation method
Analyzing optical soliton solutions in Kairat-X equation via new auxiliary equation method Open
The paper introduce a novel auxiliary equation method for the successful derivation of traveling wave solutions for the non-linear Kairat-X (K-X) equation. Along with other novel results, soliton, singular, triangular periodic, and doubly …
View article: Two‐stage power control method of rotary power flow controller for flexible interconnection of distribution network
Two‐stage power control method of rotary power flow controller for flexible interconnection of distribution network Open
With the rapid development of active distribution network construction, flexible interconnected distribution networks have become the mainstream power supply structure. To ensure the safe power supply of the distribution system, power cont…
View article: A smooth method for primary frequency of wind turbine based on variable power point tracking and energy storage cooperative control
A smooth method for primary frequency of wind turbine based on variable power point tracking and energy storage cooperative control Open
The conventional deloading control has certain problems, such as low power generation efficiency and a small speed adjustment range. To improve the system's frequency quality and enhance the power grid's stability, this study comprehensive…
View article: Reliable Community Card System for Detecting and Isolating Selfish Vehicles in SCC-Based VDTN's
Reliable Community Card System for Detecting and Isolating Selfish Vehicles in SCC-Based VDTN's Open
Smart and Connected Communities (SCC) is a new area of the Internet of Things (IoT) with the potential to improve people's lives. The goal of developing SCC for a community is to encourage people to focus on the present, consider the futur…
View article: Leveraging Machine Learning for Early Detection of Soybean Crop Pests
Leveraging Machine Learning for Early Detection of Soybean Crop Pests Open
Background: Soybean cultivation faces challenges from pest infestations, necessitating advanced and proactive pest management strategies. Traditional methods often lag in early detection, resulting in substantial crop losses. This study ad…
View article: Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks Open
Skin cancer is a prevalent type of cancer that affects millions of people globally. However, detecting it can be a challenging task, even for specialized dermatologists. Early detection is crucial for successful treatment, and deep learnin…
View article: Reliable community card system for detecting and isolating selfish vehicles in smart and connected communities‐based VDTN's
Reliable community card system for detecting and isolating selfish vehicles in smart and connected communities‐based VDTN's Open
Smart and connected communities (SCC) is a new area of the Internet of Things with the potential to improve people's lives. The goal of developing SCC for a community is to encourage people to focus on the present, consider the future, and…
View article: Advanced stability analysis of a fractional delay differential system with stochastic phenomena using spectral collocation method
Advanced stability analysis of a fractional delay differential system with stochastic phenomena using spectral collocation method Open
In recent years, there has been a growing interest in incorporating fractional calculus into stochastic delay systems due to its ability to model complex phenomena with uncertainties and memory effects. The fractional stochastic delay diff…