الأبحاث

احمد عبد الحميد حجاج

أستاذ مساعد

كلية الحاسبات والذكاء الاصطناعي الحسابات العلمية

Extracting feature fusion and co-saliency clusters using transfer learning techniques for improving remote sensing scene classification

Urban & Fischer 2023

Efficient algorithms for compression and classification of brain tumor images

Springer Nature 2023

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COVID-19 Crisis: Forecasting the Arab World Economy Performance Using the ARIMA Model

IAENG 2022

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How Has the COVID-19 Pandemic Affected GDP Growth?-Empirical Study on USA and China-

Academic Research Publishing Group 2022

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A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest

Springer US 2022

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On the Co-Selection of Vision Transformer Features and Images for Very High-Resolution Image Scene Classification

MDPI 2022

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A Remote Sensing Scene Classification Model Based on EfficientNet-V2L Deep Neural Networks

IJCSNS 2022

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images

Pergamon 2022

Heart-Disease Prediction Method Using Random Forest and Genetic Algorithms

IEEE 2021

A novel approach for ear recognition: learning Mahalanobis distance features from deep CNNs

Springer Berlin Heidelberg 2021

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Deep learning.

Medical image classification.

Remote sensing image interpretation, especially compression, classification, and wireless communication.