Search Results - "Shaf, Ahmad"
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Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron
Published in Sensors (Basel, Switzerland) (19-07-2021)“…Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the…”
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Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
Published in Sensors (Basel, Switzerland) (09-04-2021)“…Natural disasters not only disturb the human ecological system but also destroy the properties and critical infrastructures of human societies and even lead to…”
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3
AMDDLmodel: Android smartphones malware detection using deep learning model
Published in PloS one (19-01-2024)“…Android is the most popular operating system of the latest mobile smart devices. With this operating system, many Android applications have been developed and…”
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4
A Secure Communication in IoT Enabled Underwater and Wireless Sensor Network for Smart Cities
Published in Sensors (Basel, Switzerland) (02-08-2020)“…Nowadays, there is a growing trend in smart cities. Therefore, the Internet of Things (IoT) enabled Underwater and Wireless Sensor Networks (I-UWSN) are mostly…”
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5
Multi-region electricity demand prediction with ensemble deep neural networks
Published in PloS one (18-05-2023)“…Electricity consumption prediction plays a vital role in intelligent energy management systems, and it is essential for electricity power supply companies to…”
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Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models
Published in Sensors (Basel, Switzerland) (01-09-2023)“…This paper presents a comprehensive study on the classification of brain tumor images using five pre-trained vision transformer (ViT) models, namely…”
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7
Securing Smart Grid Data With Blockchain and Wireless Sensor Networks: A Collaborative Approach
Published in IEEE access (2024)“…The rapid advancement of grid modernization and the proliferation of smart grids have engendered a critical need for cyber-physical security. Recent…”
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Global horizontal irradiance prediction for renewable energy system in Najran and Riyadh
Published in AIP advances (01-03-2024)“…Producing and supplying energy efficiently are important for many countries. Using models to predict energy production can help reduce costs, improve…”
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A Novel Routing Protocol Based on Elliptical Shaped Movement of Autonomous Underwater Vehicles in Data Gathering Process for Underwater Wireless Sensor Network
Published in Sensors (Basel, Switzerland) (14-07-2022)“…High end-to-end delay is a significant challenge in the data collection process in the underwater environment. Autonomous Underwater Vehicles (AUVs) are a…”
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10
An Improved Flood Susceptibility Assessment in Jeddah, Saudi Arabia, Using Advanced Machine Learning Techniques
Published in Water (Basel) (01-07-2023)“…The city of Jeddah experienced a severe flood in 2020, resulting in loss of life and damage to property. In such scenarios, a flood forecasting model can play…”
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An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff
Published in PloS one (08-06-2023)“…The mental and physical well-being of healthcare workers is being affected by global COVID-19. The pandemic has impacted the mental health of medical staff in…”
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An Optimal Delay Tolerant and Improved Data Collection Schema using AUVs for Underwater Wireless Sensor Networks
Published in IEEE access (01-01-2024)“…This paper presents two Elliptical Trajectories for Efficient Data-gathering and Delay-tolerant (TETD 2 ) routing schemes for Underwater Wireless Sensor…”
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13
An Adoptive Threshold-Based Multi-Level Deep Convolutional Neural Network for Glaucoma Eye Disease Detection and Classification
Published in Diagnostics (Basel) (18-08-2020)“…Glaucoma, an eye disease, occurs due to Retinal damages and it is an ordinary cause of blindness. Most of the available examining procedures are too long and…”
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Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications
Published in Life (Basel, Switzerland) (26-06-2023)“…Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain cells in the tumor grow abnormally and badly affect the surrounding brain…”
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Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability
Published in PeerJ. Computer science (14-03-2024)“…Hyperparameter tuning plays a pivotal role in the accuracy and reliability of convolutional neural network (CNN) models used in brain tumor diagnosis. These…”
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16
IoT Framework for a Decision-Making System of Obesity and Overweight Extrapolation among Children, Youths, and Adults
Published in Life (Basel, Switzerland) (10-09-2022)“…Approximately 30% of the global population is suffering from obesity and being overweight, which is approximately 2.1 billion people worldwide. The ratio is…”
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A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough
Published in IEEE access (2024)“…Cervical cancer, the second most prevalent cancer among women worldwide, is primarily attributed to the human papillomavirus (HPV). Despite advances in…”
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Enhancing Brain Tumor Diagnosis: Transitioning From Convolutional Neural Network to Involutional Neural Network
Published in IEEE access (2023)“…] Accurate classification of brain tumors is essential for effective medical diagnosis and treatment planning. Traditional approaches rely on convolutional…”
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Advancing brain tumor detection: harnessing the Swin Transformer's power for accurate classification and performance analysis
Published in PeerJ. Computer science (29-02-2024)“…The accurate detection of brain tumors through medical imaging is paramount for precise diagnoses and effective treatment strategies. In this study, we…”
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Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans
Published in Diagnostics (Basel) (01-06-2023)“…A brain tumor is a significant health concern that directly or indirectly affects thousands of people worldwide. The early and accurate detection of brain…”
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