Muhammad Shoaib Siddiqui
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View article: Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation
Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation Open
The primary objective of this article is to present a comprehensive dataset for controlling and monitoring red palm weevil (RPW) ( Rhynchophorus ferrugineus ) infestation. For this purpose, several digital and thermal images of date palm t…
View article: Behavioral Analysis and Crime Severity Prediction using Machine Learning
Behavioral Analysis and Crime Severity Prediction using Machine Learning Open
Crime analysis and prediction involve a systematic methodology for identifying patterns and anticipating potential criminal activity. This study presents a system capable of predicting regions with a high likelihood of crime occurrence and…
View article: Impact of Scaling on the Performance and Wake Characteristics of Paired Counter-Rotating Vertical Axis Wind Turbine
Impact of Scaling on the Performance and Wake Characteristics of Paired Counter-Rotating Vertical Axis Wind Turbine Open
This study investigates the aerodynamic performance and wake dynamics of counter-rotating vertical-axis wind turbines (VAWTs) through two-dimensional computational fluid dynamics (CFD) simulations. The analysis focuses on the effects of ge…
View article: Nonlinear Wake Dynamics of a Model Floating Offshore Wind Turbine Under Pitch and Roll Motions
Nonlinear Wake Dynamics of a Model Floating Offshore Wind Turbine Under Pitch and Roll Motions Open
Floating offshore wind development requires an improved understanding of wake dynamics influenced by platform motions. Pitch and roll motions significantly influence wake behavior, especially in low to moderate turbulence, affecting downst…
View article: IoT‐MT: Connected Care System For Elderly Anxiety Management Via Music Therapy
IoT‐MT: Connected Care System For Elderly Anxiety Management Via Music Therapy Open
The elderly are at a higher risk of developing depression, anxiety, and other mental illnesses due to their age, chronic diseases, financial dependencies and other factors. Access to mental health services is often limited due to high cost…
View article: Towards Investigating Innovation Perceptions of Leaders in the ICT Sector of Pakistan
Towards Investigating Innovation Perceptions of Leaders in the ICT Sector of Pakistan Open
Innovation in the Information and Communication Technology (ICT) sector is critical for organizational growth and societal sustainability. However, the innovation capabilities of developing countries, particularly in the ICT sector, remain…
View article: Knowledge Graph Representation of Felder-Silverman Learning Style Model for Computing Education
Knowledge Graph Representation of Felder-Silverman Learning Style Model for Computing Education Open
This research focuses on adapting the Felder-Silverman Learning Style Model (FSLSM) questionnaire according to a specific computing course. In this approach, we transform FSLSM questions based on the course’s algorithmic structure. Using t…
View article: AI Driven Framework for Need-Based Insurance Plans Generation and Anomaly Detection Using Deep Learning Techniques
AI Driven Framework for Need-Based Insurance Plans Generation and Anomaly Detection Using Deep Learning Techniques Open
Traditional health insurance models lack flexibility in insurance coverage, as these models suggest fixed insurance policies and plans for individuals and enterprises. As a result, the insured employee is not adequately covered and has to …
View article: Context-Aware Gene Embedding Pipeline (CGEP): An Accessible, Regulatory-Region-Inclusive Embedding Framework for Interpretable Disease-Agnostic Prediction
Context-Aware Gene Embedding Pipeline (CGEP): An Accessible, Regulatory-Region-Inclusive Embedding Framework for Interpretable Disease-Agnostic Prediction Open
In this study, we propose a novel Gene Embedding Pipeline (CGEP) designed to address critical limitations in genomic deep learning by integrating both functional and regulatory genomic contexts. Unlike conventional approaches, our framewor…
View article: Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data Open
Vehicular sensor networks (VSNs) are expected to revolutionize the transportation systems through automated decision‐making. These networks function on the communication between vehicles, traffic infrastructure, and people. One of the majo…
View article: Predictive Modeling of Semi-Submersible Floater Motion Using Bi-LSTM Model
Predictive Modeling of Semi-Submersible Floater Motion Using Bi-LSTM Model Open
Floating offshore wind turbines (FOWTs) are emerging as a promising renewable energy solution, tapping into the vast wind resources in deep-sea locations. Accurate predictions of heave, pitch, sway, roll, yaw, and surge are essential to en…
View article: Aerodynamic and Structural Assessment of Floating Wind Turbine Rotor Under Varying Tilt Angle
Aerodynamic and Structural Assessment of Floating Wind Turbine Rotor Under Varying Tilt Angle Open
Predicting the aerodynamic performance of floating offshore wind turbines (FOWTs) proves challenging due to platform motion induced by waves. The effect of wind and waves results in a six-degree-of-freedom motion of the platform, directly …
View article: Hydrodynamic Response of Semi-Submersible FOWT Floaters: A Numerical Investigation of Wave and Mooring Parameter Dependencies
Hydrodynamic Response of Semi-Submersible FOWT Floaters: A Numerical Investigation of Wave and Mooring Parameter Dependencies Open
Floating wind turbines have enormous potential in harnessing high wind speeds in deep ocean locations. Compared with bottom-fixed technology, the latter is limited by the depth to which it can be installed. These turbines are designed to b…
View article: An automated information extraction system from the knowledge graph based annual financial reports
An automated information extraction system from the knowledge graph based annual financial reports Open
This article presents a semantic web-based solution for extracting the relevant information automatically from the annual financial reports of the banks/financial institutions and presenting this information in a queryable form through a k…
View article: Analysis of Mental Health Counseling Conversation Using Natural Language Processing
Analysis of Mental Health Counseling Conversation Using Natural Language Processing Open
One of the most significant public health challenges of our day is mental illness. Despite the benefits of psychotherapy and counseling, our understanding of conducting effective counseling conversations has been limited due to a lack of h…
View article: Predicting the Length of Stay of Cardiac Patients Based on Pre-Operative Variables—Bayesian Models vs. Machine Learning Models
Predicting the Length of Stay of Cardiac Patients Based on Pre-Operative Variables—Bayesian Models vs. Machine Learning Models Open
Length of stay (LoS) prediction is deemed important for a medical institution’s operational and logistical efficiency. Sound estimates of a patient’s stay increase clinical preparedness and reduce aberrations. Various statistical methods a…
View article: Enhanced Accuracy and Real‐Time Monitoring: A Hybrid Communication Architecture for Fertility Monitoring
Enhanced Accuracy and Real‐Time Monitoring: A Hybrid Communication Architecture for Fertility Monitoring Open
Human fertility monitoring, whether for natural conception or artificial insemination and fertilization, presents a significant challenge for both physicians and patients. Detecting the presence of eggs in the fallopian tube and timely com…
View article: Aspect-Based Sentiment Analysis for Service Industry
Aspect-Based Sentiment Analysis for Service Industry Open
In today’s digital age, customer feedback, particularly gathered from various sources like mobile application reviews, has emerged as a critical resource for service-providing organizations to gain valuable insights into their customers’ e…
View article: Numerical investigation of blade roughness impact on the aerodynamic performance and wake behavior of horizontal axis wind turbine
Numerical investigation of blade roughness impact on the aerodynamic performance and wake behavior of horizontal axis wind turbine Open
The prolonged operation of wind turbines in harsh offshore environments leads to deterioration and roughness accumulation on the blade surface. This roughness, particularly on the leading edge and other surfaces, can affect the laminar-to-…
View article: Effect of leading-edge erosion on the performance of offshore horizontal axis wind turbine using BEM method
Effect of leading-edge erosion on the performance of offshore horizontal axis wind turbine using BEM method Open
This research focuses on the effect of leading-edge erosion on the performance of wind turbines, specifically the GE1.5XLE horizontal axis wind turbine. The blade element momentum (BEM) method is used to predict the performance of the erod…
View article: A Blockchain Based Framework for Efficient Water Management and Leakage Detection in Urban Areas
A Blockchain Based Framework for Efficient Water Management and Leakage Detection in Urban Areas Open
Sustainable urban water management is essential to handle water scarcity, leakage, and inefficient distribution. This paper covers water management in urban areas, including an introduction, an overview of water management practices, the c…
View article: Weed Detection Using Deep Learning: A Systematic Literature Review
Weed Detection Using Deep Learning: A Systematic Literature Review Open
Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importa…
View article: An IoT-Based System for Efficient Detection of Cotton Pest
An IoT-Based System for Efficient Detection of Cotton Pest Open
Considering the importance of cotton products, timely identification of pests (flying moths—being a significant threat to cotton crops) helps to protect cotton crops and improve their production and quality. This study proposes real-time d…
View article: Flood Prediction using Hydrologic and ML-based Modeling: A Systematic Review
Flood Prediction using Hydrologic and ML-based Modeling: A Systematic Review Open
Flooding, caused by the overflow of water bodies beyond their natural boundaries, has severe environmental and socioeconomic consequences. To effectively predict and mitigate flood events, accurate and reliable flood modeling techniques ar…
View article: Cognitive Relationship-Based Approach for Urdu Sarcasm and Sentiment Classification
Cognitive Relationship-Based Approach for Urdu Sarcasm and Sentiment Classification Open
Humans have a natural tendency to express their emotions, but they are also skilled at using sarcasm to shape their feelings. In cognitive computing and natural language processing research, sentiment analysis and sarcasm detection are typ…
View article: In-Depth Review of Augmented Reality: Tracking Technologies, Development Tools, AR Displays, Collaborative AR, and Security Concerns
In-Depth Review of Augmented Reality: Tracking Technologies, Development Tools, AR Displays, Collaborative AR, and Security Concerns Open
Augmented reality (AR) has gained enormous popularity and acceptance in the past few years. AR is indeed a combination of different immersive experiences and solutions that serve as integrated components to assemble and accelerate the augm…
View article: CAR-Tourist: An Integrity-Preserved Collaborative Augmented Reality Framework-Tourism as a Use-Case
CAR-Tourist: An Integrity-Preserved Collaborative Augmented Reality Framework-Tourism as a Use-Case Open
The unprecedented growth in Augmented Reality (AR) has captured the focus of researchers and the industrial sector. The development of AR applications and their implementation in various domains is broadening. One of the advancements in th…
View article: Detecting DDoS Attacks in IoT-Based Networks Using Matrix Profile
Detecting DDoS Attacks in IoT-Based Networks Using Matrix Profile Open
The Internet of Things (IoT) is a swiftly developing technology in all sectors, with the number of devices that connect to the Internet has increased remarkably in recent years. However, most of these devices use cheap hardware and lack a …
View article: Virtual Tourism and Digital Heritage: An Analysis of VR/AR Technologies and Applications
Virtual Tourism and Digital Heritage: An Analysis of VR/AR Technologies and Applications Open
During the time of the pandemic, travel restrictions have impacted the tourism industry with an estimated loss of more than a trillion USD; however, at the same time, we have seen a significant increase in profits for the industries which …
View article: Permission and Usage Control for Virtual Tourism using Blockchain-based Smart Contracts
Permission and Usage Control for Virtual Tourism using Blockchain-based Smart Contracts Open
Virtual Tourism (VT) is a booming business with potential perspectives in the entertainment and financial industry. Due to travel restrictions, safety concerns, and expensive travelling the younger generation is showing interest in virtual…