Open Access

Articles

The Resilience of Deep Learning Models for Breast Cancer Detection: A Quantitative Analysis of Performance Under Diverse Noise Conditions in Thermal Imaging

Dr. Mira T. Elvanor, Prof. Jayson K. Brulett (Author) ¹

Pages: 1-10 || Published: 2025-01-06 || DOI: https://doi.org/10.64917/

• Abstract

  Breast cancer continues to be a leading cause of mortality among women globally, making early and accurate detection paramount. Infrared thermography has emerged as a promising non-invasive, radiation-free diagnostic modality that identifies potential malignancies by capturing the subtle temperature variations associated with tumor metabolism... More >

Open Access

Articles

A Residual Learning Framework for Advanced Visual Recognition

Dr. Narek I. Veloyan, Prof. Helena M. Stravik (Author) ¹

Pages: 11-20 || Published: 2025-02-11 || DOI: https://doi.org/10.64917/

• Abstract

  The advancement of deep learning in computer vision has been largely driven by the development of increasingly deep neural networks. However, a fundamental challenge known as the "degradation problem" has hindered progress, where adding more layers to a suitably deep model leads to higher training error, preventing the network from benefiting... More >

Open Access

Articles

An Empirical Framework for Evaluating Reinforcement Learning in Automated Optimization Systems

Dr. Linnea J. Arwood (Author) ¹

Pages: 21-33 || Published: 2025-03-19 || DOI: https://doi.org/10.64917/

• Abstract

  The integration of Reinforcement Learning (RL) into automation represents a paradigm shift in solving complex optimization problems across various industries⁶. While RL has demonstrated significant potential, its practical application is often hampered by a lack of standardized evaluation frameworks, making it difficult for practit... More >