ملخصات الابحاث

المجالات البحثية

الابحاث العلمية

1 - Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids (2025).

2 - Enhancing connectivity and coverage in wireless sensor networks: a hybrid comprehensive learning-Fick’s algorithm with particle swarm optimization for router node placement (2025).

3 - Image processing and neural network technique for size characterization of gravel particles (2024).

4 - Optimized Hybrid Convolution Neural Network with Machine Learning for Arabic Sign Language Recognition (2024).

5 - Implementing and Measuring the Performance of PB, RR and PBRR Scheduling Algorithms on ATMega32A using FreeRTOS (2023).

6 - An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets (2023).

7 - A combined effective time series model based on clustering and whale optimization algorithm for forecasting smart meters electricity consumption (2022).

8 - Particle swarm optimization advances in internet of things industry (2022).

9 - Electrical Load Forecasting: A methodological overview (2020).

10 - Elliptic tube free convection augmentation: An experimental and ANN numerical approach (2019).

11 - Improved Low Energy Adaptive Clustering Hierarchy in Wireless Sensor Network Routing Protocols (2018).

12 - METERING WATER FLOW USING IMAGE PROCESSING (2012).

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