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Shehab Alzaeemi

Has grant

King Fahd University of Petroleum and Minerals

Saudi Arabia

Research Interests

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PAPAYA LEAVE DISEASES IDENTIFICATION USING CONVOLUTION NEURAL NETWORK AND AN AUTOMATIC HYPERPARAMETERS OPTIMIZATION TUNING

Open Date: 2023-09-01

Close Date: 2025-08-01

Articles (20)

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Collaborators (6)

MOHAMMED AL-MASNI

Assistant Professor

Sejong University

SOUTH KOREA

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Saleh Alwahaishi

VSB - Technical University of Ostrava

CZECH REPUBLIC

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Mohammed A Al-Sharafi

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Abdul Rehman Gilal

Florida International University

UNITED STATES

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Osamah Al-Qershi

University of Melbourne

AUSTRALIA

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M. Sadiq Sohail

Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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ApplyKite TwinLearns as you apply

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Review drafts before you send them.

Shehab Alzaeemi

Research Interests

Make your next move.

Recent Grants

Articles (20)

Advancing workpiece dimension measurement: Integrating AI-based edge detection with machine vision and coordinate measuring systems

FinTechHub for digital financial inclusion in Saudi Arabia

A big data and machine learning-based approach to theorising consumers’ continuance intentions to use digital wallets

A website-based Skin Disease Identification using a Convolutional Neural Network for Childcare Applications

User trust and continued engagement in digital lending platforms: evidence from app review analytics

Machine Learning–Enhanced Detection of Antimicrobial Resistance in Foodborne Pathogens: Advances, Challenges, and Future Directions

Predicting User Exit and Negative Word-of-Mouth in Buy Now Pay Later Apps: The EXIT Model from Bilingual App Store Reviews

A data-driven analysis of post-adoption engagement and advocacy in the fintech loyalty ecosystem

Agentic AI as a service innovation: A mixed-methods study of satisfaction, trust, and continued use

A longitudinal big data approach to theorizing consumers' continuance intention to use loyalty apps

A longitudinal consumer feedback analytics approach for theory building and testing: Examining consumer satisfaction and loyalty in buy now, pay later (BNPL) platforms

Utilizing a Hybrid Artificial Radial Basis Function Neural Network combined with Horse Herd Optimization Algorithm to Predict Red Mud-Modified Asphalt Mixture Properties using Marshall Mix Design

Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development

Factors shaping FinTech adoption: a systematic review, key determinants, theoretical insights, conceptual framework and future research directions

Photocatalysis of low-density polyethylene using FKMW-ZnO NPs: optimization and predication model using a radial basis function neural network ensemble system

Numerical modelling of the impact of coronavirus disease 2019 on fertility and population growth rate in Malaysia

Predictive model for corrective maintenance costs: Empowering decision-making in building renovation

Response surface methodology and machine learning optimisations comparisons of recycled AA6061-B4C–ZrO2 hybrid metal matrix composites via hot forging forming process

Validity of zinc oxide nanoparticles biosynthesized in food wastes extract in treating real samples of printing ink wastewater; prediction models using feed-forward neural network (FFNN)

Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation

Collaborators (6)

MOHAMMED AL-MASNI

Saleh Alwahaishi

Mohammed A Al-Sharafi

Abdul Rehman Gilal

Osamah Al-Qershi

M. Sadiq Sohail

Make your next move.