تجاوز إلى المحتوى الرئيسي

هشام خلف اللاحم

أستاذ مساعد

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allahem@ju.edu.sa
نظم المعلومات - كلية علوم الحاسب والمعلومات
الكلية
Computer and Information Sciences College
كلية علوم الحاسب والمعلومات
القسم
Information Systems
نظم المعلومات
الأبحاث
12
12
زيارات الصفحة
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Fm researches

آخر الأبحاث

AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
HISHAM KHALAF ZAYED ALLAHEM
Efficient Arabic Essay Scoring with Hybrid Models: Feature Selection, Data Optimization, and Performance Trade-offs
HISHAM KHALAF ZAYED ALLAHEM
Optimized YOLOv8 for Enhanced Breast Tumor Segmentation in Ultrasound Imaging
HISHAM KHALAF ZAYED ALLAHEM

fm info

الأبحاث

AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
HISHAM KHALAF ZAYED ALLAHEM
Efficient Arabic Essay Scoring with Hybrid Models: Feature Selection, Data Optimization, and Performance Trade-offs
HISHAM KHALAF ZAYED ALLAHEM
Optimized YOLOv8 for Enhanced Breast Tumor Segmentation in Ultrasound Imaging
HISHAM KHALAF ZAYED ALLAHEM
A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer
HISHAM KHALAF ZAYED ALLAHEM
Aggregated Catalyst Physicochemical Descriptor-Driven Machine Learning for Catalyst Optimization: Insights into Oxidative-Coupling-of-Methane Dynamics and C2 Yields
HISHAM KHALAF ZAYED ALLAHEM
Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness
HISHAM KHALAF ZAYED ALLAHEM
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
HISHAM KHALAF ZAYED ALLAHEM
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine-Tuning of Vision Transformer Models
HISHAM KHALAF ZAYED ALLAHEM
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
HISHAM KHALAF ZAYED ALLAHEM
Automated labour detection framework to monitor pregnant women with a high risk of premature labour using machine learning and deep learning
HISHAM KHALAF ZAYED ALLAHEM
Automated uterine contractions pattern detection framework to monitor pregnant women with a high risk of premature labour
HISHAM KHALAF ZAYED ALLAHEM
Framework to monitor pregnant women with a high risk of premature labour using sensor networks
HISHAM KHALAF ZAYED ALLAHEM
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