Toward Universal Multiplexer Multiply-Accumulate Architecture in Stochastic Computing by Yang Yang Lee, Zaini Abdul Halim, Mohd Nadhir Ab Wahab, Tarik Adnan Almohamad

“…This paper introduces an auxiliary logic block to address the complexity of MUX select inputs, significantly enhancing the scalability of MUX-based MAC operations. …”
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Acute Kidney Injury Associated with Anticancer Therapies: Small Molecules and Targeted Therapies by Jaya Kala, Teresa Joseph, Marta Pirovano, Roberta Fenoglio, Laura Cosmai

“…The use of these drugs targets specific molecules or targets, which block growth and spread of cancer cells. Many of these therapies have been approved for use with remarkable success in breast, blood, colorectal, lung, and ovarian cancers. …”
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Enhancing Photovoltaic Panel Segmentation in Remote Sensing Imagery: A Comparative Study of Attention-Integrated UNet Models by M. Q. Alkhatib, M. Al-Saad, N. Aburaed, M. S. Zitouni, S. Almansoori, H. Al-Ahmad

“…Given the critical role of solar energy in achieving global sustainability, accurate PV panel detection is essential for effective energy management. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…Addressing the problem of inadequate environmental detection in the process of optimizing search for unmanned surface vehicles (USVs) by a heuristic algorithm, this paper proposes a comprehensive visual perception method that combines a lightweight convolutional neural network (CNN) with the USV’s real-time heading angle. …”
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MBFE-UNet: A Multi-Branch Feature Extraction UNet with Temporal Cross Attention for Radar Echo Extrapolation by Huantong Geng, Han Zhao, Zhanpeng Shi, Fangli Wu, Liangchao Geng, Kefei Ma

“…We design a Multi-Branch Feature Extraction Block, which extracts spatiotemporal features of radar echo data from various perspectives. …”
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Citrus Disease Classification Model Based on Improved ConvNeXt by Jichi Yan, Yongbin Mo, Yannan Yu, Shiqing Dou, Rongfeng Yang

“…Early diagnosis of citrus diseases directly affects the yield and quality of citrus cultivation, and a citrus disease classification model based on improved ConvNeXt is proposed to address the problems of high cost and low efficiency of traditional citrus disease detection methods. Firstly, the attention mechanism is changed to a parallel connection in the convolutional block attention module, and the attention mechanism is incorporated into ConvNeXt, which improves the model’s ability of feature extraction, makes the model focus more on lesion features, and suppresses the interference of background information. …”
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Seismic Data Acquisition Utilizing a Group of UAVs by Artem Timoshenko, Grigoriy Yashin, Valerii Serpiva, Rustam Hamadov, Dmitry Fedotov, Mariia Kartashova, Pavel Golikov

“…The architecture of the swarm control station, its individual blocks, features of UAV exploitation for seismic data acquisition tasks, hardware and software tool limitations are considered. …”
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Lingual nerve injuries: recognized complications or preventable errors? by Frederic Van der Cruyssen, Frederic Van der Cruyssen, Frederic Van der Cruyssen, Robin Willaert, Robin Willaert, Michael Miloro

“…These may occur during third molar extractions, inferior alveolar nerve blocks, implant placement, root canal treatment and other dental, oral, and maxillofacial procedures. …”
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A model for Managing the Competitive Activitiesof Top-Level Teams Based on Computer Vision Online by Sergei L. Goldstein, Andrey A. Polozov, Natalia V. Papulovskaya, Natalya A. Maltseva, Maxim V. Kraev

“…The resulting sequence of actions for the development of PIRSonline includes image acquisition, a block for initializing game parameters, ball detection, determining the 3D coordinates of the ball, detecting players, tracking, classifying players and referees, determining the player’s pose. …”
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A Consistency-Aware Hybrid Static–Dynamic Multivariate Network for Forecasting Industrial Key Performance Indicators by Jiahui Long, Xiang Jia, Bingyi Li, Lin Zhu, Miao Wang

“…For the dynamic data, the trend and periodic components are disentangled and fed into Trend-wise Attention and Periodic-aware Attention blocks, respectively. Extensive experiments on both synthetic and real-world radar detection datasets demonstrated that CHSDM-Net achieved significant improvements compared with existing methods. …”
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Small-Scale Void-Size Determination in Reinforced Concrete Using GPR by Yong Yang, Junwei Lu, Rongzhe Li, Weigang Zhao, Deli Yan

“…The detection and evaluation of void in concrete are imperative issues in health monitoring of civil engineering. …”
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Implantable Biosensors for Vascular Diseases: Directions for the Next Generation of Active Diagnostic and Therapeutic Medical Device Technologies by Ali Mana Alyami, Mahmut Talha Kirimi, Steven L. Neale, John R. Mercer

“…Biosensors that allow real-time vascular monitoring will provide early detection and warning of pathological cell growth. …”
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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…Recently, deep neural networks have been widely applied to enhance the speed and precision of ICH detection yet they are still challenged by small or subtle hemorrhages. …”
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Super-Resolution Reconstruction of Motor Long-Wave Infrared Images Based on Improved USR-Net by Darong Zhu, Ziyan Sun, Fangbin Wang

“…Temperature analysis of long-wave infrared images serves as an effective approach for motor fault detection. However, current long-wave infrared cameras suffer from relatively low imaging resolution. …”
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Predicting forest understory habitat for Canada lynx using LIDAR data by Patrick A. Fekety, Rema B. Sadak, Joel D. Sauder, Andrew T. Hudak, Michael J. Falkowski

“…We found that removing cover board measurements where the main stem of a tree blocked >75% of the cover board produced the best model statistics. …”
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XABH-CNN-GRU: Explainable attention-based hybrid CNN-GRU model for accurate identification of common arrhythmias by Abduljabbar S. Ba Mahel, Fahad Mushabbab G. Alotaibi, Zenebe Markos Lonseko, Ni-Ni Rao

“…This research advances medical diagnostics by integrating advanced machine-learning techniques to enhance arrhythmia detection.…”
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Sequence characteristics define trade-offs between on-target and genome-wide off-target hybridization of oligoprobes. by Olga V Matveeva, Aleksey Y Ogurtsov, Nafisa N Nazipova, Svetlana A Shabalina

“…For selection of specific probes, we analyzed the following sequence characteristics: vulnerability to self-folding, nucleotide composition bias, numbers of G nucleotides and GGG-blocks, and occurrence of probe's k-mers in the human genome. …”
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NLE-ANSNet: A Multilevel Noise Estimation and Adaptive Scaling Framework for Hybrid Noise Suppression in Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma by Jasem Almotiri

“…Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, so its detection and monitoring are critical. However, contrast-enhanced magnetic resonance imaging (CE-MRI) is particularly vulnerable to complex, unstructured noise, which compromises image quality and diagnostic accuracy. …”
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Blockchain Technology for Secure Patient Data Sharing by Robert-Stefan CIZMAŞ

“…The proposed solution builds on foundational models such as MedBlock and MedRec, introducing novel enhancements like dynamic consent mechanisms, InterPlanetary File System (IPFS) for decentralized storage, and containerized deployment via Docker. …”
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SIMULATION RESULTS OF SPECKLE SUPPRESSION IN RADAR WITH SYNTHETIC APERTURE by R. N. Akinshin, V. L. Rumyantzev, A. V. Peteshov

“…The disadvantage of (RLI) radar images obtained with a single-channel radar station is the presence of speckle that leads to intensity flashes increasing the number of false alarms when detecting point targets. Therefore, the detection and target distinguishing by their reflective capability (using the energy characteristics of the signal) is not effective enough. …”
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