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Volume 14, No. 1, 2026
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Article# Article Title & Authors (Volume 14, No. 1, 2026) Page
1
AfroNet: A Cross-Attention Enhanced U-Net for Breast Cancer Image Segmentation
Vuppula Manohar*, P. S. Rao, Sreedhar Kollem, Karri Chiranjeevi*, B. Jaya, M. Shashidhar, Syed M. Ahamed, Appala S. Kumar, and Manasa Koppula
 1
2
Vision-Based Automation Positioning System for Edge-Milling
Hsu Q. Cherng, Ngoc V. Ngo*, and Kun M. Chen
 15
3
Application of Machine Learning to Determine Fish Freshness Based on Eye Images
John P. Q. Tomas*, Maria R. J. C. Caranay, Eonn G. M. G. Domingo, Mia B. Enciso, and Bonifacio T. Doma
 24
4
A Hybrid Deep Feature Extraction Framework with Quantum Grey Wolf Optimization for Enhanced Content-Based Image Retrieval
Sarva N. Kumar* and Ch S. Kumar
 38
5
Secure and Efficient Tele-Radiography Based on the Fusion of a Convolutional Autoencoder and Chaotic Latent Encryption
Rayane Cherifi, Mahdi Madani*, El-Bay Bourennane, and Karima Amara
 49
6
Detection of Parkinson’s Disease Using Spiral Drawings and Machine Learning Approaches
Axell Albano Gutiérrez Ramírez*, Antonio Alarcón Paredes, and Cornelio Yáñez Márquez
 58
7
Enhancing Facial Expression Recognition: Leveraging MobileNetV3 for Periocular Analysis
Sinar B. Ramadhan and David H. Hareva
 65
8
Improving Vision Transformer for Deepfake Detection
Orvis L. Siagian, Reinhard Ebenhaizer, Pandu Wicaksono*, and Zahra N. Izdihar
 76
9
Edge Detection Using Clip ReLU-Based Enhanced Hybrid Network
Wazir Lakra and Rajeshwar Dass*
 84
10
MMTFL: Multi-Timescale Multi-Modal Feature Learning for Weakly-Supervised Anomaly Detection
Erkut Akdag*, Henk Corporaal, Peter H. N. D. With, and Egor Bondarev
 96
11
Convolutional Neural Networks for Non-parasitic Nematode Feeding Behavior Identification in Soil Ecosystem Management
Nabila H. Shabrina*, Larasati, Siwi Indarti, and Rina Maharani
 108
12
Optimizing CNN Architectures for In-field Grape Disease Diagnosis on Mobile Embedded Systems
Shital Karande* and Bindu Garg*
 121
13
Explainable Intelligent Detection of Tomato Leaf Diseases: An Explainable Deep Learning Approach
Youssef Laatiri* and Mohamed Ali Mahjoub
 141
14
Fake and Real Smile Detection Using a CNNBased Model with Handcrafted Features Using Scale-Invariant Feature Transform
Reem K. Sahi, Noha A. Hikal, and Heba Kandil
 149