On the analyses of medical images using traditional machine learning techniques and convolutional neural networks

S Iqbal, A N. Qureshi, J Li, T Mahmood - Archives of Computational …, 2023 - Springer
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

[PDF][PDF] The Applications of Deep Learning Algorithms for Enhancing Big Data Processing Accuracy

AH Abed - International Journal of Advanced Networking and …, 2024 - researchgate.net
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--------------------Big Data (BD) is the massive amount of data that has been collected as a …

The Evaluation of Electronic Human Resources (eHR) Management based Internet of Things using Machine Learning Techniques

DRAH Abed - IJANA-International Journal of Advanced …, 2024 - eswarpublications.com
The eHR solutions are frequently employed in large organizations and sectors. For the
company, such eHR is extremely competent, congruent, affordable, and committed. These …

DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations

AM Cismaru - arXiv preprint arXiv:2403.18831, 2024 - arxiv.org
In this paper, we introduce DeepTraderX (DTX), a simple Deep Learning-based trader, and
present results that demonstrate its performance in a multi-threaded market simulation. In a …

Optimized Federated Learning Algorithm for Breast Cancer Detection Using the Marine Predators Algorithm

AR Dandekar, A Sharma… - Journal of Electrical …, 2024 - search.proquest.com
Breast cancer stands as the leading cause of cancer-related fatalities among women
worldwide, necessitating effective detection methods. However, the current landscape of …

[PDF][PDF] The Techniques of authentication in the Context of Cloud Computing

AH Abed - Int. J. Advanced Networking and Applications, 2025 - researchgate.net
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--------------------One solution that helps with straightforward, on-demand access to a pool of …

Enhancing Big Data Processing Performance using Cutting-Edge Deep Learning Algorithms

AH Abed - ALRYADA Journal For Computational Intelligence and …, 2024 - journals.ekb.eg
Big Data (BD) is the massive amount of data that has been collected as a result of recent
developments in sensor networks and IoT technology. More effective techniques with high …