رمز بسيط، تكوّن من سلسلة روابط مُحاطة بدائرة، وهي رمز شائع للاتصال أو الارتباط التشعبي. تم تحديد خطوط الأيقونة بلون أسود داكن على الخلفية، مع إضافة عناصر عسكرية من الهوية الوطنية السعودية مثل الغترة والشماع والبشت السعودي، لتعكس الطابعة المحلية المميزة لجامعة القصيم.

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علامة لفتة سوداء اللون من الجلد البسيط، قبضة بدائرة سوداء، يعلوها رسم واضحي لغترة سعودية مع شماع وعقال، تبرز معالم البشت السعودي في. يرمز هذا التصميم إلى مفهوم الأمان وخصوصية البيانات الرقمية يعكس هوية جامعة القصيم.
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هيئة الحكومة الرقمية

أعضاء هيئة التدريس

المحتوى

يرتدي رجل يرتدي زيًا أبيض تقليديًا مع شماغ سعودي أحمر وأبيض داخل أحد المباني، مسجون في الكاميرا بتعبير حيادي كما لو كان يلتقط صورة لملف أعضاء هيئة التدريس في جامعة القصيم.
صورة عضو هيئة التدريس

تميم خليفه سليمان الخليفه

أستاذ مشارك
كلية الحاسب،
قسم تقنية المعلومات

البيانات الشخصية

    المؤهلات العلمية

    • MSc Computer Science
    • BSc Computer Science
    • PhD computer Science

    الاهتمامات البحثية

    • Mobile application development
    • Compiler design
    • Artificial Intelligence (AI)
    • Machine Learning

    الأبحاث المنشورة

    • PADG-Pred: Exploring Ensemble Approaches for Identifying Parkinson's Disease Associated Biomarkers Using Genomic Sequences Analysis (2025-03-15)
    • Comprehensive Analysis of Computational Models for Prediction of Anticancer Peptides Using Machine Learning and Deep Learning (2025-02-03)
    • Enhancing cement mortar longevity using self-healing agents derived from CAC and FGD gypsum (2025-08-23)
    • Exergy destruction and heat transfer of parabolic trough collector using porous medium: Machine learning algorithms (2025-05-27)
    • Optimizing energy capacity, and vibration control performance of multi-layer smart silicon solar cells using mathematical simulation and deep neural networks (2025-01-01)
    • Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks (2025-08-23)
    • Review of pool boiling improvement with additives and nanofluids utilizing artificial intelligence (2025-02-05)
    • Optimization of viscosity and thermal conductivity of copper/SAE10W oil nanofluid using artificial neural networks and multi-objective genetic algorithm to improve damper oil performance (2025-08-07)
    • IR-MBiTCN: Computational prediction of insulin receptor using deep learning: A multi-information fusion approach with multiscale bidirectional temporal convolutional network (2025-01-03)
    • Identification of defensins using transformer-derived protein embeddings and discrete cosine transformation-enhanced evolutionary features with generative adversarial capsule bidirectional temporal convolutional neural network (2025-10-31)
    • A novel machine learning model for innovative microencapsulation techniques and applications in advanced materials, textiles, and food industries (2025-07-16)
    • A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network (2025-09-29)
    • Carrera Unified Formulation for intelligent vibration control in hybrid nanocomposite structures: Verification of the results via a hybrid machine learning algorithm (2025-05-09)
    • ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood-brain barrier peptides (2025-02-23)
    • Deep-FastLASER: A Semantically Enhanced Hybrid Embedding and Deep Learning Approach for Identification of Sentimental Tweets in Arabic Language on Social Media (2025-01-01)
    • Diaproteo: A supervised learning framework for early detection of diabetes mellitus based on proteomic profiles (2025-01-01)
    • HybridEdge: A Lightweight and Secure Hybrid Communication Protocol for the Edge-Enabled Internet of Things (2025-01-01)
    • Multi-Label Movie Genre Classification with Attention Mechanism on Movie Plots (2025-01-01)
    • Potential features of building information modelling for application of project management knowledge areas as advances modeling tools (2022-12-15)
    • Innovative ANN hysteresis to predict hysteretic performance of composite reinforced concrete beam (2022-12-08)
    • Application of novel hybrid machine learning approach for estimation of ultimate bond strength between ultra-high performance concrete and reinforced bar (2023-03-02)
    • Novel modified ANFIS based fuzzy logic model for performance prediction of FRCM-to-concrete bond strength (2023-04-28)
    • Predicting the shear strength of concrete beam through ANFIS-GA-PSO hybrid modeling (2023-04-30)
    • Innovative composite machine learning approach for biodiesel production in public vehicles (2023-06-20)
    • Application of nano remediation of mine polluted in acid mine drainage water using machine learning model (2022-11-14)
    • Application of aluminum oxide nanoparticles in asphalt cement toward non-polluted green environment using linear regression (2023-02-20)
    • Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application of machine learning (Publication with Expression of Concern. See vol. 356, 2024) (2023-04-19)
    • Chest X ray and cough sample based deep learning framework for accurate diagnosis of COVID-19 (2022-10-01)
    • Artificial neural network-based optimization of baffle geometries for maximized heat transfer efficiency in microchannel heat sinks (2023-07-28)
    • Improving efficiency and optimizing heat transfer in a novel tesla valve through multi-layer perceptron models (2023-08-19)
    • Improving thermal and hydraulic performances through artificial neural networks: An optimization approach for Tesla valve geometrical parameters (2023-11-16)
    • Heat recovery integration in a hybrid geothermal-based system producing power and heating using machine learning approach to maximize outputs (2024-01-11)
    • Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort (2024-11-19)
    • An innovative process design of seawater desalination toward hydrogen liquefaction applied to a ship's engine: An economic analysis and intelligent data-driven learning study/optimization (2023-11-08)
    • Wireless water consumption sensing system for building energy efficiency: A visual-based approach with self-powered operation (2023-11-01)
    • Enhanced artificial intelligence for electrochemical sensors in monitoring and removing of azo dyes and food colorant substances (2022-09-28)
    • Determining the heat transfer coefficient of sustainable buildings using extreme learning machine (2023-01-09)
    • Analysis of portable solar concrete ponds by using coal cinder to trap thermal energy of sustainable building using artificial intelligence (2023-04-28)
    • Using data-driven learning methodology for a solid waste-to-energy scheme and developed regression analyses for performance prediction (2023-08-25)
    • Gas turbine-based system taking advantage of LNG regasification process for multigeneration purposes; Techno-economic-environmental analysis and machine learning optimization (2023-09-11)
    • Biomass gasification technology for a distinct renewable electricity/heat production scheme; Developed regression models based on machine learning algorithms for power/hot water/efficiency/emission data analysis (2023-12-07)
    • Introducing an integrated self-organizing map and radial basis function network for accurate prediction of water-Fe3O4 nanofluid viscosity versus solid volume fraction and temperature (2024-11-19)
    • Application of green energy and environment-friendly decorative composite materials by using kinetic model with Sodium Alanate Nano carbon particle for building technologies (2023-11-06)
    • Gluconeogenesis unraveled: A proteomic Odyssey with machine learning (2024-10-30)
    • DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest (2024-09-16)
    • A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns (2022-09-07)
    • Introducing deep neural networks for propagation of waves in the concrete structures reinforced by advanced nanocomposites as the main part of the bridge construction (2024-08-19)
    • Stability/instability analysis of advanced nanocomposite-reinforced bridge asphalt mixtures at low temperatures: Verification of the results <i>via</i> AI-driven approach (2024-12-09)
    • Application of Carrera unified formulation and innovative artificial intelligence algorithm to study thermal buckling properties and structural optimization of fiber-reinforced concrete structures surrounded by auxetic foundations (2024-12-09)
    • Application of Carrera Unified Formulation and Hybrid AI-Composition with CNN and ReliefF feature selection: presenting some useful suggestions for improving the stability of football and sport equipment via advanced nanocomposites (2024-12-14)
    • Application of the Carrera unified formulation and machine learning for vibration analysis of composite structures as the main part of construction robotics (2024-12-26)
    • Optimized Fractional Order Integral-Tilt Derivative Controller for Frequency Regulation of Interconnected Diverse Renewable Energy Resources (2022-01-01)
    • A Numerical Approach for Solving Nonlinear Optimal Control Problems Using the Hybrid Scheme of Fitness Dependent Optimizer and Bernstein Polynomials (2022-01-01)
    • Toward Holistic Energy Management by Electricity Load and Price Forecasting: A Comprehensive Survey (2023-01-01)
    • GCF-MLD: Integrated Approach for Money Laundering Detection Using Machine Learning and Graph Network Analysis (2024-01-01)
    • Gamified English App: A Mobile Application to Enhance Second Language Learning via Gamification (2022-01-01)
    • Reusable Component Retrieval: A Semantic Search Approach for Low-Resource Languages (2023-05-01)
    • Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations (2022-10-01)
    • iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models (2023-01-01)
    • m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models (2024-02-15)
    • BBB-PEP-prediction: improved computational model for identification of blood-brain barrier peptides using blending position relative composition specific features and ensemble modeling (2023-11-18)
    • Optimization of intelligent prosthetic hands using artificial neural networks and nanoscale technologies for enhanced performance (2024-10-01)
    • Application of artificial intelligence to improve the efficiency and stability of prosthetic hands via nanoparticle reinforcement (2024-10-01)
    • Impact of cybersecurity measures on improving institutional governance and digitalization for sustainable healthcare (2022-11-15)
    • Real-Time Multiple Guava Leaf Disease Detection from a Single Leaf Using Hybrid Deep Learning Technique (2023-01-01)
    • Skin Cancer Disease Detection Using Transfer Learning Technique (2022-06-01)
    • A Practical Multiclass Classification Network for the Diagnosis of Alzheimer's Disease (2022-07-01)
    • RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features (2022-12-01)
    • Ensemble Learning for Hormone Binding Protein Prediction: A Promising Approach for Early Diagnosis of Thyroid Hormone Disorders in Serum (2023-06-01)
    • Dandelion Optimizer-Based Combined Automatic Voltage Regulation and Load Frequency Control in a Multi-Area, Multi-Source Interconnected Power System with Nonlinearities (2022-11-01)
    • Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations (2022-10-01)
    • Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis (2022-05-01)
    • An Intelligent Automated System for Detecting Malicious Vehicles in Intelligent Transportation Systems (2022-09-01)
    • EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma (2023-05-18)
    • Quantum-resistant intrusion detection in federated IoT networks: A lattice-based approach (2026-06-08)
    • Lightweight and interpretable edge intelligence AI with intrusion detection for trustworthy cardiac arrhythmia in medical IoT (2026-03-24)
    • A generative explainable model for antimicrobial peptide prediction using bidirectional temporal convolutional neural network (2026-03-17)
    • Enhancing cement mortar longevity using self-healing agents derived from CAC and FGD gypsum (2026-03-01)
    • Deep learning based prediction of RNA 5hmC modifications using composite feature representations and comparative benchmarking with transformer models (2026-01-19)
    • Thermal conductivity and viscosity optimization of CuO/cyclohexane - diethyl amine non-polar hybrid nanofluid using artificial neural network and multi-objective particle swarm optimization (2026-03-01)
    • A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network (vol 15, 33676 , 2025) (2025-11-05)
    • An ensemble strategy for piRNA identification through hybrid moment-based feature modeling (2025-08-18)
    • DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes (2023-04-29)
    • DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers (2022-10-27)
    • Mobile Learning Adoption in Developing Countries (2017-01-01)
    • Relational Algebra Interpreter (2014-01-01)
    • Skin cancer disease detection using transfer learning technique (2022-01-01)
    • Optimized fractional order integral-tilt derivative controller for frequency regulation of interconnected diverse renewable energy resources (2022-01-01)
    • Real-time multiple guava leaf disease detection from a single leaf using hybrid deep learning technique (2022-01-01)
    • Heterogeneous ensemble deep learning model for enhanced Arabic sentiment analysis (2022-01-01)
    • Dandelion optimizer-based combined automatic voltage regulation and load frequency control in a multi-area, multi-source interconnected power system with nonlinearities (2022-01-01)
    • Potential features of building information modelling for application of project management knowledge areas as advances modeling tools (2023-01-01)
    • Impact of cybersecurity measures on improving institutional governance and digitalization for sustainable healthcare (2022-01-01)
    • Green synthesis of Fe3O4 nanoparticles using Alliaceae waste (Allium sativum) for a sustainable landscape enhancement using support vector regression (2023-01-01)
    • Predicting the shear strength of concrete beam through ANFIS-GA–PSO hybrid modeling (2023-01-01)
    • Enhanced artificial intelligence for electrochemical sensors in monitoring and removing of azo dyes and food colorant substances (2022-01-01)
    • Application of novel hybrid machine learning approach for estimation of ultimate bond strength between ultra-high performance concrete and reinforced bar (2023-01-01)
    • Chest X ray and cough sample based deep learning framework for accurate diagnosis of COVID-19 (2022-01-01)
    • Gas turbine-based system taking advantage of LNG regasification process for multigeneration purposes; Techno-economic-environmental analysis and machine learning optimization (2023-01-01)
    • Improving efficiency and optimizing heat transfer in a novel tesla valve through multi-layer perceptron models (2023-01-01)
    • Application of nano remediation of mine polluted in acid mine drainage water using machine learning model (2023-01-01)
    • Multi-headed ensemble residual CNN: a powerful tool for fibroblast growth factor prediction (2024-01-01)
    • Artificial neural network-based optimization of baffle geometries for maximized heat transfer efficiency in microchannel heat sinks (2023-01-01)
    • Multi-objective optimization of office building envelopes properties and Venetian blinds using NSGA-II to save energy consumption and enhance thermal and visual comfort (2024-01-01)
    • A practical multiclass classification network for the diagnosis of Alzheimer’s disease (2022-01-01)
    • An innovative process design of seawater desalination toward hydrogen liquefaction applied to a ship's engine: An economic analysis and intelligent data-driven learning study … (2024-01-01)
    • Improving thermal and hydraulic performances through artificial neural networks: An optimization approach for Tesla valve geometrical parameters (2023-01-01)
    • BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble … (2023-01-01)
    • Innovative composite machine learning approach for biodiesel production in public vehicles (2023-01-01)
    • An intelligent automated system for detecting malicious vehicles in intelligent transportation systems (2022-01-01)
    • Hemolytic-Pred: a machine learning-based predictor for hemolytic proteins using position and composition-based features (2023-01-01)
    • Deep learning approaches for detection of breast adenocarcinoma causing carcinogenic mutations (2022-01-01)
    • A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns (2022-01-01)
    • Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations (2022-01-01)
    • Toward holistic energy management by electricity load and price forecasting: A comprehensive survey (2023-01-01)
    • Ensemble learning for hormone binding protein prediction: a promising approach for early diagnosis of thyroid hormone disorders in serum (2023-01-01)
    • DeepBCE: evaluation of deep learning models for identification of immunogenic B-cell epitopes (2023-01-01)
    • Innovative ANN hysteresis to predict hysteretic performance of composite reinforced concrete beam (2023-01-01)
    • Mobile learning adoption in developing countries (2017-01-01)
    • Comprehensive analysis of computational models for prediction of anticancer peptides using machine learning and deep learning (2025-01-01)
    • Heat recovery integration in a hybrid geothermal-based system producing power and heating using machine learning approach to maximize outputs (2024-01-01)
    • Novel modified ANFIS based fuzzy logic model for performance prediction of FRCM-to-concrete bond strength (2023-01-01)
    • DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers (2022-01-01)
    • A structural equation modelling of governing factors influencing patient acceptance of mobile health in Saudi Arabia: a modified UTAUT model (2022-01-01)
    • Review of pool boiling improvement with additives and nanofluids utilizing artificial intelligence (2025-01-01)
    • Using data-driven learning methodology for a solid waste-to-energy scheme and developed regression analyses for performance prediction (2023-01-01)
    • IGPred‐HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning‐Based Approach (2023-01-01)
    • RCCC_Pred: a novel method for sequence-based identification of renal clear cell carcinoma genes through DNA mutations and a blend of features (2022-01-01)
    • Factors influencing the acceptance of mobile learning in K-12 education in Saudi Arabia: Towards a shift in the Saudi education system vis-à-vis Saudi 2030 vision (2022-01-01)
    • Analysis of portable solar concrete ponds by using coal cinder to trap thermal energy of sustainable building using artificial intelligence (2023-01-01)
    • EDLM: ensemble deep learning model to detect mutation for the early detection of cholangiocarcinoma (2023-01-01)
    • Application of aluminum oxide nanoparticles in asphalt cement toward non-polluted green environment using linear regression (2023-01-01)
    • Introducing an integrated self-organizing map and radial basis function network for accurate prediction of water-Fe3O4 nanofluid viscosity versus solid volume fraction and … (2025-01-01)
    • Biomass gasification technology for a distinct renewable electricity/heat production scheme; Developed regression models based on machine learning algorithms for power/hot … (2024-01-01)
    • Wireless water consumption sensing system for building energy efficiency: A visual-based approach with self-powered operation (2023-01-01)
    • iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models (2023-01-01)
    • Optimization of viscosity and thermal conductivity of copper/SAE10W oil nanofluid using artificial neural networks and multi-objective genetic algorithm to improve damper oil … (2025-01-01)
    • Evaluating machine unlearning: Applications, approaches, and accuracy (2025-01-01)
    • GCF-MLD: integrated approach for money laundering detection using machine learning and graph network analysis (2024-01-01)
    • Gamified English app: a mobile application to enhance second language learning via gamification (2022-01-01)
    • IR-MBiTCN: Computational prediction of insulin receptor using deep learning: A multi-information fusion approach with multiscale bidirectional temporal convolutional network (2025-01-01)
    • Multi-label movie genre classification with attention mechanism on movie plots (2025-01-01)
    • A numerical approach for solving nonlinear optimal control problems using the hybrid scheme of fitness dependent optimizer and Bernstein polynomials (2022-01-01)
    • A novel machine learning model for innovative microencapsulation techniques and applications in advanced materials, textiles, and food industries (2025-01-01)
    • Exergy destruction and heat transfer of parabolic trough collector using porous medium: Machine learning algorithms (2025-01-01)
    • Reusable component retrieval: A semantic search approach for low-resource languages (2023-01-01)
    • E-learning Environment's Effectiveness and Efficiency for Educational Institutions: the case of KAU & QU (2021-01-01)
    • Identification of defensins using transformer-derived protein embeddings and discrete cosine transformation-enhanced evolutionary features with generative adversarial capsule … (2025-01-01)
    • Deep-CABPred: Deep learning model for predicting functional chlorophyll ab binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal … (2025-01-01)
    • ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood–brain barrier peptides (2025-01-01)
    • Application of green energy and environment-friendly decorative composite materials by using kinetic model with Sodium Alanate Nano carbon particle for building technologies (2023-01-01)
    • Fuzzy Logic-Based System for Liver Fibrosis Disease. (2023-01-01)
    • Optimizing energy capacity, and vibration control performance of multi-layer smart silicon solar cells using mathematical simulation and deep neural networks (2025-01-01)
    • DeepDBS: identification of DNA-binding sites in protein sequences by using deep representations and random forest (2024-01-01)
    • Determining the heat transfer coefficient of sustainable buildings using extreme learning machine (2023-01-01)
    • A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network (2025-01-01)
    • Early Size and Effort Estimation of Mobile Application Development. (2022-01-01)
    • Application of Carrera Unified Formulation and Hybrid AI-Composition with CNN and ReliefF feature selection: presenting some useful suggestions for improving the stability of … (2026-01-01)
    • PADG‐Pred: Exploring Ensemble Approaches for Identifying Parkinson's Disease Associated Biomarkers Using Genomic Sequences Analysis (2025-01-01)
    • Gluconeogenesis unraveled: a proteomic odyssey with machine learning (2024-01-01)
    • m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models (2024-01-01)
    • Lightweight and interpretable edge intelligence AI with intrusion detection for trustworthy cardiac arrhythmia in medical IoT (2026-01-01)
    • A generative explainable model for antimicrobial peptide prediction using bidirectional temporal convolutional neural network (2026-01-01)
    • Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application … (2023-01-01)
    • XCPP: A Multi-model Explainable Deep Learning Framework for Accurate Identification of Cell-Penetrating Peptides from Structured Sequence Features. (2026-01-01)
    • Diaproteo: A supervised learning framework for early detection of diabetes mellitus based on proteomic profiles (2025-01-01)
    • HybridEdge: A Lightweight and Secure Hybrid Communication Protocol for the Edge-Enabled Internet of Things (2025-01-01)
    • An investigation of the acceptance of mobile learning by high school students in the K-12 context in the Kingdom of Saudi Arabia (2018-01-01)
    • Application of the Carrera unified formulation and machine learning for vibration analysis of composite structures as the main part of construction robotics (2026-01-01)
    • Stability/instability analysis of advanced nanocomposite-reinforced bridge asphalt mixtures at low temperatures: Verification of the results via AI-driven approach (2026-01-01)
    • Thermal conductivity and viscosity optimization of CuO/cyclohexane-diethyl amine non-polar hybrid nanofluid using artificial neural network and multi-objective particle swarm … (2026-01-01)
    • Deep learning based prediction of RNA 5hmC modifications using composite feature representations and comparative benchmarking with transformer models (2026-01-01)
    • Introducing deep neural networks for propagation of waves in the concrete structures reinforced by advanced nanocomposites as the main part of the bridge construction (2025-01-01)
    • Optimization of intelligent prosthetic hands using artificial neural networks and nanoscale technologies for enhanced performance (2024-01-01)
    • Relational Algebra Interpreter (2014-01-01)
    • Quantum-resistant intrusion detection in federated IoT networks: A lattice-based approach (2026-01-01)
    • Federated Temporal Kolmogorov-Arnold Networks for Private Low-Power Wearable Health Monitoring (2026-01-01)
    • predALZ: An Ensemble Learning Framework for Identifying Genetic Biomarkers in Familial Alzheimer’s Disease (2026-01-01)
    • Correction: A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network (2025-01-01)
    • Deep-FastLASER: A Semantically Enhanced Hybrid embedding and deep learning approach for Identification of Sentimental Tweets in Arabic Language on Social Media (2025-01-01)
    • An ensemble strategy for piRNA identification through hybrid moment-based feature modeling (2025-01-01)
    • A Computational Intelligence Approach Towards Identification of Hormone Binding Proteins (2025-01-01)
    • Carrera Unified Formulation for intelligent vibration control in hybrid nanocomposite structures: Verification of the results via a hybrid machine learning algorithm (2025-01-01)
    • Application of Carrera unified formulation and innovative artificial intelligence algorithm to study thermal buckling properties and structural optimization of fiber-reinforced … (2024-01-01)
    • Application of artificial intelligence to improve the efficiency and stability of prosthetic hands via nanoparticle reinforcement (2024-01-01)
    • Faculty Perception, Attitude, and Readiness Towards e-Learning in Ar Rass Dental College A Comparison of Moodle and Blackboard Learning Management Systems (2020-01-01)
    • predALZ: An Ensemble Learning Framework for Identifying Genetic Biomarkers in Familial Alzheimer's Disease (2026-04-22)

    المواد التدريسية

    • Visual Programming
    • Database
    • Introduction to Computers and Internet
    • Multimedia Management

    ملفات تعريف الارتباط

    هذا الموقع يستخدم ملفات تعريف الارتباط الخاصة لضمان سهولة الاستخدام، وتحسين تجربتك أثناء التصفح، كما يوضح الأحكام والسياسات المتعلقة بخصوصية المستخدم. من خلال الاستمرار في تصفح هذا الموقع، فإنك تقر بقبول استخدام ملفات تعريف الارتباط، وما جاء في سياسة الخصوصية