Ali Wagdy Mohamed
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View article: Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability
Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability Open
This few-shot and explainable model performs well with minimal data and generates clinically interpretable visual outputs, supporting its potential for reliable colon cancer diagnosis.
View article: Navigating the future: Unveiling educational trends in the metaverse through text mining
Navigating the future: Unveiling educational trends in the metaverse through text mining Open
The Metaverse is gaining recognition as a prominent platform for online education. It offers a dynamic environment where students can interact with the course material in non-traditional ways. The COVID-19 pandemic has expedited the adopti…
View article: 579 Quality of starting material result in high manufacturability and favorable product phenotype of IMA203, a PRAME-directed TCR T-cell therapy
579 Quality of starting material result in high manufacturability and favorable product phenotype of IMA203, a PRAME-directed TCR T-cell therapy Open
View article: AI for colon cancer: A focus on classification, detection, and predictive modeling
AI for colon cancer: A focus on classification, detection, and predictive modeling Open
AI holds great promise in colon cancer diagnosis and treatment. Future work should focus on integrating AI tools into clinical workflows through explainable models and standardized validation.
View article: A Seizure That Has Started in the Lungs: Unusual Presentation of Lung Cancer
A Seizure That Has Started in the Lungs: Unusual Presentation of Lung Cancer Open
It is hardly surprising that paraneoplastic syndrome could be the first sign of an underlying malignancy. Sometimes, a patient’s condition is not apparent clinically but is revealed through laboratory findings, as they may appear clinicall…
View article: When Kidney and Calcium Speak: A Rare Presentation of Sarcoidosis: A Case Report
When Kidney and Calcium Speak: A Rare Presentation of Sarcoidosis: A Case Report Open
Though classic pulmonary and constitutional symptoms are present in many cases of sarcoidosis, sarcoidosis can still be clinically silent and limited to the kidneys. This case report presents a 45-year-old Saudi male who presented with non…
View article: An Improved Gaining Sharing Knowledge-Based Algorithm for Solving Resource Allocation Problems
An Improved Gaining Sharing Knowledge-Based Algorithm for Solving Resource Allocation Problems Open
This manuscript presents a procedure to deal with the complicated unbounded knapsack optimization problem with a combination of Total Value greedy heuristic (TV) and Integer Gaining Sharing metaheuristic (IGSK) algorithms in the framework …
View article: Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis
Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis Open
In recent years, opposition-based learning (OBL) has emerged as a powerful enhancement strategy in metaheuristic algorithms (MAs), gaining significant attention for its potential to accelerate convergence and improve solution quality. Exis…
View article: Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems
Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems Open
The Gaining–Sharing Knowledge-based (GSK) algorithm is a human-inspired metaheuristic that models how people learn and disseminate knowledge across their lifetime. It has shown promising results across a range of engineering optimization p…
View article: Efficient stochastic framework for availability improvement of stone door frame manufacturing plants using artificial neural networks and regression analysis
Efficient stochastic framework for availability improvement of stone door frame manufacturing plants using artificial neural networks and regression analysis Open
View article: EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm
EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm Open
Outlier detection is essential for identifying unusual patterns or observations that significantly deviate from the normal behavior of a dataset. With the rapid growth of data science, the prevalence of anomalies and outliers has increased…
View article: An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems
An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems Open
View article: Case Report: Case report: Hepatic and pulmonary echinococcosis with reactivated tuberculosis
Case Report: Case report: Hepatic and pulmonary echinococcosis with reactivated tuberculosis Open
The co-infection of Pulmonary Tuberculosis (TB) and hydatid disease is rare. Diagnosis and treatment of this co-infection may be challenging as both diseases present with overlapping clinical manifestations, especially in war zones where t…
View article: Gabor Filter Bank Features Selection for Face Recognition Based on Particle Swarm Optimization
Gabor Filter Bank Features Selection for Face Recognition Based on Particle Swarm Optimization Open
View article: Enhanced Gaining-Sharing Knowledge-based algorithm
Enhanced Gaining-Sharing Knowledge-based algorithm Open
This article suggests an Enhanced Gaining-Sharing Knowledge-based algorithm (eGSK) to resolve unrestricted optimization minimization problems over a continuous space. This algorithm is based on the idea that people learn and share knowledg…
View article: Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis
Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis Open
Chaos theory, with its unique blend of randomness and ergodicity, has become a powerful tool for enhancing metaheuristic algorithms. In recent years, there has been a growing number of chaos-enhanced metaheuristic algorithms (CMAs), accomp…
View article: Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm
Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm Open
View article: A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models
A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models Open
This study conducts a comparative analysis of the performance of ten novel and well-performing metaheuristic algorithms for parameter estimation of solar photovoltaic models. This optimization problem involves accurately identifying parame…
View article: Equalizer Design: HBOA-DE-trained radial basis function neural networks
Equalizer Design: HBOA-DE-trained radial basis function neural networks Open
Communication systems that rely on wireless technology require signal processing techniques to improve their channel performance. Wireless communications are susceptible to various signal distortions during transmission, including inter-sy…
View article: HorseNet: a novel deep learning approach for horse health classification
HorseNet: a novel deep learning approach for horse health classification Open
In equestrian sports and veterinary medicine, horse welfare is paramount. Horse tiredness, lameness, colic, and anemia can be identified and classified using deep learning (DL) models. These technologies analyze horse images and videos to …
View article: Impact of urbanization on land surface temperature: A global perspective
Impact of urbanization on land surface temperature: A global perspective Open
Urbanization, as a component of land use and land cover (LULC) changes, significantly affects land surface temperature (LST), intensifying the Urban Heat Island (UHI) effect. Therefore, understanding the impact of LULC change on LST is cri…
View article: Collaborative Filtering Techniques for Predicting Web Service QoS Values in Static and Dynamic Environments: A Systematic and Thorough Analysis
Collaborative Filtering Techniques for Predicting Web Service QoS Values in Static and Dynamic Environments: A Systematic and Thorough Analysis Open
In recent years, the rapid growth of Web Services (WSs) has led to a proliferation of functionally similar options, making Quality of Service (QoS) a crucial factor for users in selecting the most suitable services. Predicting QoS values a…
View article: Observability inequality for the wavelet-based Galerkin method
Observability inequality for the wavelet-based Galerkin method Open
This work is about the observation and control of the wave propagation phenomena within the framework of a wavelet based Galerkin discretization methods. Unlike conventional approaches where observability/controllability are lost as the m…
View article: Intelligent Joint Optimization of Deployment and Task Scheduling for Mobile Users in Multi‐UAV‐Assisted MEC System
Intelligent Joint Optimization of Deployment and Task Scheduling for Mobile Users in Multi‐UAV‐Assisted MEC System Open
Mobile edge computing (MEC) servers integrated with multi‐unmanned aerial vehicles (multi‐UAVs) present a new system the multi‐UAV‐assisted MEC system. This system relies on the mobility of the UAVs to reduce the transmission distance betw…
View article: Digital Interaction and Power Dynamics: A Netnographic Study in Three Facebook Groups
Digital Interaction and Power Dynamics: A Netnographic Study in Three Facebook Groups Open
View article: MOCBOA: Multi-Objective Chef-Based Optimization Algorithm Using Hybrid Dominance Relations for Solving Engineering Design Problems
MOCBOA: Multi-Objective Chef-Based Optimization Algorithm Using Hybrid Dominance Relations for Solving Engineering Design Problems Open
View article: Divided opposition strategy in particle swarm framework for constrained optimization problem
Divided opposition strategy in particle swarm framework for constrained optimization problem Open
In nature inspired algorithms, population initialization techniques play an important role to find an optimal solution. In this study, we proposed a novel population initialization technique Divided opposition-based learning Particle Swarm…
View article: Autoimmune Enteritis in an Adult With Psoriatic Arthritis, Successfully Treated With Glucocorticoids and Adalimumab
Autoimmune Enteritis in an Adult With Psoriatic Arthritis, Successfully Treated With Glucocorticoids and Adalimumab Open
View article: Case Report: Case report: Hepatic and pulmonary echinococcosis with reactivated tuberculosis
Case Report: Case report: Hepatic and pulmonary echinococcosis with reactivated tuberculosis Open
The co-infection of Pulmonary Tuberculosis (TB) and hydatid disease is rare. Diagnosis and treatment of this co-infection may be challenging as both diseases present with overlapping clinical manifestations, especially in war zones where t…
View article: Seasonal short-term photovoltaic power prediction based on GSK–BiGRU–XGboost considering correlation of meteorological factors
Seasonal short-term photovoltaic power prediction based on GSK–BiGRU–XGboost considering correlation of meteorological factors Open
The intermittency and randomness of photovoltaic power present different characteristics due to seasonal variations, which greatly affects the reliability of power supply. To boost the prediction accuracy of photovoltaic power, a short-ter…