Dataset for the paper "3D Convolutional Neural Networks to Predict Guest Diffusion in Metal--Organic Frameworks"
Martin Bliek, William Xu, Arthur Hardiagon, François‐Xavier Coudert
Martin Bliek, William Xu, Arthur Hardiagon, François‐Xavier Coudert
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…
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…
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…
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…
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…