Ahmad Salah
YOU?
Author Swipe
View article: Toward Robust Human Pose Estimation Under Real-World Image Degradations and Restoration Scenarios
Toward Robust Human Pose Estimation Under Real-World Image Degradations and Restoration Scenarios Open
Human Pose Estimation (HPE) models have varied applications and represent a cutting-edge branch of study, whose systems such as MediaPipe (MP), OpenPose (OP), and AlphaPose (ALP) show marked success. One of these areas, however, that is in…
View article: MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-Based Motion Capture Data
MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-Based Motion Capture Data Open
Motion capture (MoCap) data derived from wearable Inertial Measurement Units is essential to applications in sports science and healthcare robotics. However, a significant amount of the potential of this data is limited due to missing data…
View article: Characterization of Bioactive CompoundsExtracted from Bacteria AgainstBiomphalaria alexandrina
Characterization of Bioactive CompoundsExtracted from Bacteria AgainstBiomphalaria alexandrina Open
View article: Attitudes, beliefs, and practices regarding complementary and alternative medicine use: Influenza vaccine intake
Attitudes, beliefs, and practices regarding complementary and alternative medicine use: Influenza vaccine intake Open
Objectives Influenza poses a major health challenge due to its variability and pandemic potential, making prevention crucial. The study aimed to explore the link between influenza vaccination and complementary and alternative medicine (CAM…
View article: MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-based Motion Capture Data
MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-based Motion Capture Data Open
Motion capture (MoCap) data from wearable Inertial Measurement Units (IMUs) is vital for applications in sports science, but its utility is often compromised by missing data. Despite numerous imputation techniques, a systematic performance…
View article: Exploring Thematic Structures in Surah Al-Baqarah using TF-IDF, Dimensionality Reduction, and K-means Clustering
Exploring Thematic Structures in Surah Al-Baqarah using TF-IDF, Dimensionality Reduction, and K-means Clustering Open
View article: Voting Ensemble Learning for Multilingual Sentiment Analysis: A Comparative Study
Voting Ensemble Learning for Multilingual Sentiment Analysis: A Comparative Study Open
View article: Analyzing Public opinion on Climate Change via Twitter: A Machine Learning Approach Using Historical Data
Analyzing Public opinion on Climate Change via Twitter: A Machine Learning Approach Using Historical Data Open
View article: A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction Open
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention. Therefore, this study attempts to …
View article: Buoyant Flow and Thermal Analysis in a Nanofluid-Filled Cylindrical Porous Annulus with a Circular Baffle: A Computational and Machine Learning-Based Approach
Buoyant Flow and Thermal Analysis in a Nanofluid-Filled Cylindrical Porous Annulus with a Circular Baffle: A Computational and Machine Learning-Based Approach Open
Control of buoyancy-assisted convective flow and the associated thermal behavior of nanofluids in finite-sized conduits has become a great challenge for the design of many types of thermal equipment, particularly for heat exchangers. This …
View article: A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions Open
This systematic review evaluates recent literature from January 2021 to March 2024 on large language model (LLM) applications across diverse medical specialties. Searching PubMed, Web of Science, and Scopus, we included 84 studies. LLMs we…
View article: A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions Open
Background: Large Language Models (LLMs) are one of the artificial intelligence (AI) technologies used to understand and generate text, summarize information, and comprehend contextual cues. LLMs have been increasingly used by researchers …
View article: A Comparative Study of Privacy-Preserving Techniques in Federated Learning: A Performance and Security Analysis
A Comparative Study of Privacy-Preserving Techniques in Federated Learning: A Performance and Security Analysis Open
Federated learning (FL) is a machine learning technique where clients exchange only local model updates with a central server that combines them to create a global model after local training. While FL offers privacy benefits through local …
View article: Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping
Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping Open
Bike-sharing systems (BSSs) have recently become important in urban transportation due to several factors, such as their cost-effectiveness and environmental considerations. The BSS provides an enormous amount of data that is recorded rega…
View article: Predicting stock prices using ensemble learning techniques
Predicting stock prices using ensemble learning techniques Open
Stock price prediction has grown in importance due to its role in determining the future worth of business shares. There are several approaches for stock price prediction that can be classified into machine learning, deep learning, and ens…
View article: CLEVER: A Novel Approach for Improving EV Charging Duration and Load Predictions Using Curriculum Learning Approach
CLEVER: A Novel Approach for Improving EV Charging Duration and Load Predictions Using Curriculum Learning Approach Open
Despite advancements in electric vehicle (EV) charging prediction models, existing approaches are suffering from complex charging patterns. The curriculum learning (CL) is a training approach which resembles the natural human learning prog…
View article: A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions Open
Large Language Models (LLMs) have shown potential to transform medical specialties but there are uncertainties in their performance. This systematic review aims to evaluate LLMs utilization, impacts, and challenges across 19 medical specia…
View article: Investigation of Debonding Effect in Internal Replacement Pipe System Under Lateral Loading
Investigation of Debonding Effect in Internal Replacement Pipe System Under Lateral Loading Open
The aging pipeline infrastructure around the world necessitates immediate rehabilitation. Internal replacement pipe (IRP) is a trenchless system offering a versatile and cost-effective solution across a variety of industries, including oil…
View article: Effect of internal pressure on the flexural fatigue behaviour of trenchless internal replacement pipe systems
Effect of internal pressure on the flexural fatigue behaviour of trenchless internal replacement pipe systems Open
View article: AraTSum: Arabic Twitter Trend Summarization Using Topic Analysis and Extractive Algorithms
AraTSum: Arabic Twitter Trend Summarization Using Topic Analysis and Extractive Algorithms Open
Twitter’s trending topics enable users to view the topics currently being discussed on the platform. Users can stay up to date with news, events, and conversations. However, the platform’s method of sorting tweets by time can make it hard …
View article: Univie: An App for Managing Digital Health Data of Refugees
Univie: An App for Managing Digital Health Data of Refugees Open
The refugee crisis has reached historic proportions, with more than 82 million people on the run. Access to healthcare is often difficult for them due to a lack of medical records and language barriers. This paper examines a digital medica…
View article: Linear and nonlinear axial behaviour of internal replacement pipe systems for pipeline rehabilitation
Linear and nonlinear axial behaviour of internal replacement pipe systems for pipeline rehabilitation Open
Internal replacement pipe (IRP) is an innovative trenchless technology for the rehabilitation of legacy steel and cast-iron pipelines. This advanced IRP system must be properly designed so that it can safely and effectively restore the ser…
View article: Temperature change-induced linear and nonlinear axial responses of internal replacement pipe (IRP) systems for pipeline rehabilitation incorporating the effects of soil friction
Temperature change-induced linear and nonlinear axial responses of internal replacement pipe (IRP) systems for pipeline rehabilitation incorporating the effects of soil friction Open
View article: Patient Specific Dual Surgical Guidance for Alveolar Cleft Grafting
Patient Specific Dual Surgical Guidance for Alveolar Cleft Grafting Open
Objectives: To investigate the clinical and radiological outcomes of acomputer guided technique using dual surgical guidance to generate apatient-specific bone graft to reconstruct unilateral alveolar cleft (AC).Design: Prospective cohort …
View article: Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm
Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm Open
Virtual network functions (VNFs) have gradually replaced the implementation of traditional network functions. Through efficient placement, the VNF placement technology strives to operate VNFs consistently to the greatest extent possible wi…
View article: Bending fatigue behaviour of internal replacement pipe systems
Bending fatigue behaviour of internal replacement pipe systems Open
Internal replacement pipe (IRP) systems are becoming an effective rehabilitation technique for legacy oil and gas pipelines with defects and discontinuities. Under repetitive traffic loads, the IRP-repaired pipes are subjected to fatigue. …
View article: Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values
Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values Open
Insurance fraud is a prevalent issue that insurance companies must face, particularly in the realm of automobile insurance. This type of fraud has significant cost implications for insurance firms and can have a long-term impact on pricing…
View article: Investigation of Debonding Effect in Internal Replacement Pipe System Under Lateral Loading
Investigation of Debonding Effect in Internal Replacement Pipe System Under Lateral Loading Open
View article: An Adaptive Jellyfish Search Algorithm for Packing Items with Conflict
An Adaptive Jellyfish Search Algorithm for Packing Items with Conflict Open
The bin packing problem (BPP) is a classic combinatorial optimization problem with several variations. The BPP with conflicts (BPPCs) is not a well-investigated variation. In the BPPC, there are conditions that prevent packing some items t…
View article: Lateral deformation behaviour of structural internal replacement pipe repair systems
Lateral deformation behaviour of structural internal replacement pipe repair systems Open