Mobile-YOLO: A Lightweight Object Detection Algorithm for Four Categories of Aquatic Organisms by Hanyu Jiang, Jing Zhao, Fuyu Ma, Yan Yang, Ruiwen Yi

Get full text

Wavelet-Guided Multi-Scale ConvNeXt for Unsupervised Medical Image Registration by Xuejun Zhang, Aobo Xu, Ganxin Ouyang, Zhengrong Xu, Shaofei Shen, Wenkang Chen, Mingxian Liang, Guiqi Zhang, Jiashun Wei, Xiangrong Zhou, Dongbo Wu

“…WaveMorph integrates the inductive bias of CNNs with the advantages of Transformers, effectively mitigating topological distortions caused by spatial information loss while supporting real-time inference. …”
Get full text

PREDICATIVE ARRANGEMENT OF NATIONAL ANTHEM TEXTS IN ENGLISH- AND GERMAN- SPEAKING COMMUNITIES by Anatoliy M. Prykhodko, Nataliia V. Lazebna

“…Our aim is to explore the cognitive-communicative mapping strategies employed in these anthems through three predicative networks shaped by subcategories of modality, temporality, and personality. This objective is supported by specific tasks, such as describing the current state of the problem in the humanities and clarifying the modal, temporal, and personal features of the studied texts. …”
Get full text

Models of the Spread of Disinformation on the Internet by Vіoleta Tretynyk, Mykola Davydenko

“…Deceptive content poses a threat also because it can be supported by an emotional component, supplemented with truthful information, and involve the distortion of facts to complicate the recognition of an information attack. …”
Get full text

OPTNet: Optimized Pixel-Transformer Model for Adaptive Retinal Fundus Image Enhancement by Faisal Majed Alqahtani, Somaya Adwan, Mohd Yazed Ahmad, Salmah Binti Karman

“…Additionally, it effectively preserved brightness and anatomical fidelity while minimizing distortion (CD = 0.4214), blur (0.0889), and artifacts (0.2903). …”
Get full text

Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…This review provides a comprehensive analysis of cutting-edge deep learning architectures designed for underwater object detection, segmentation, and tracking. State-of-the-art (SOTA) models, including AGW-YOLOv8, Feature-Adaptive FPN, and Dual-SAM, have shown substantial improvements in addressing occlusions, camouflaging, and small underwater object detection. …”
Get full text