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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

A Deep Convolutional Neural Network Based Architecture for Accurate Detection of Brain Diseases Using Medical Imaging

Pedireddi Yaswanth Saipavan, Laxmi Math

Brain tumors are among the most life-threatening neurological disorders, and their early, accurate diagnosis through Magnetic Resonance Imaging (MRI) is critical for effective treatment planning. Manual interpretation of MRI scans is time-consuming, subjective, and prone to inter…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Hybrid Convolutional Neural Network, Long Short-Term Memory network Model for Fault Detection in Nigerian Oil and Gas Pipeline Infrastructure

Gilbert Ugwuanyi, Akpado Kenneth Aghaegbunam

Nigeria's oil and gas pipeline network spanning over 5,000 km of trunk lines and more than 3,000 km of flow lines loses an estimated one billion US dollars annually to pipeline failures, environmental incidents, and non-productive time. The dominant monitoring approach in operati…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Graph Neural Networks for Predicting Solvability of Finite Groups

Tal Weissblat

We present a Graph Neural Network (GNN) framework for the classification of finite groups according to their solvability. Using undirected Cayley graph representations, the proposed framework learns to distinguish solvable and non-solvable groups directly from structural graph in…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Development of a Convolutional Neural Network-Based Web Application for Automated Skin Disease Classification

Fatima Enehezei Usman-Hamza

Dermatological disorders remain a significant global healthcare challenge, affecting millions of individuals and contributing to increased disease burden, particularly when delayed or inaccurate diagnosis affects treatment outcomes. Although artificial intelligence has demonstrat…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Quality of Service (QoS) Optimization in 5G/6G Networks Using Neural Networks

Charis E Shiny, S Annapurna, C Lakshana, Anusha Fakirappa Bogur, S Ramesh, G R Naik

Abstract: 5G is rolled out and next generation 6G networks are also being developed, ultra-low latency (URLL) communication as a standard is critical in supporting the plethora of applications, spanning autonomous vehicles, immersive extended reality experience, etc. However, tra…

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