Advancing Kidney Transplantation: A Machine Learning Approach to Enhance Donor–Recipient Matching by Nahed Alowidi, Razan Ali, Munera Sadaqah, Fatmah M. A. Naemi

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A lightweight MHDI-DETR model for detecting grape leaf diseases by Zilong Fu, Lifeng Yin, Can Cui, Yi Wang

“…The original residual backbone network was improved using the MobileNetv4 network, significantly reducing the model’s computational requirements and complexity. …”
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Full-Duplex Amplify-and-Forward MIMO Relaying: Design and Performance Analysis Under Erroneous CSI and Hardware Impairments by Omid Taghizadeh, Slawomir Stanczak, Hiroki Iimori, Giuseppe Thadeu Freitas De Abreu

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An Efficient SM9 Aggregate Signature Scheme for IoV Based on FPGA by Bolin Zhang, Bin Li, Jiaxin Zhang, Yuanxin Wei, Yunfei Yan, Heru Han, Qinglei Zhou

“…By the Montgomery point multiplication algorithm and the Barrett modular reduction algorithm, we optimize the single-point multiplication computation unit, achieving a point multiplication speed of 70776 times per second. …”
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Research on ecological quality and restoration of fragile mining areas in the Yellow River Basin—The case of Xiegou coal mine by Xin Sui, Yiming Sun, Xuan Wang, Jin Yuan

“…By quantifying and visualizing the ecological quality as well as influencing factors of the ecologically fragile small-scale mining area and combining the ecological network of landscape ecology, the ecological restoration of the study area is proposed, which is conducive to the optimization of the ecological space of the small-scale mining area, the enhancement of the biological environment, and the promotion of ecological restoration from the theoretical point of view.…”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs by Bahareh Jafari, Mazen Hasna, Hossein Pishro-Nik, Nizar Zorba, Tamer Khattab, Hamid Saeedi

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Development and Validation of the Relational Tissue Altered (RTA) Index: Applied Artificial Intelligence for the Assessment of Structural Impact from Laser Vision Correction by Aydano P. Machado, Louise Pellegrino G. Esporcatte, Marcella Q. Salomão, Bernardo T. Lopes, João Marcelo A. G. Lyra, Renato Ambrósio

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Modeling of short-term financial transmission rights in a secondary auction market using game theory by Mohammad Tabrizian, Hosein Seifi, Mohamad Kazem Sheikh-al-Eslami, Hamidreza Shahmirzad

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Advancements and Future Directions of Automotive Radar in Autonomous Vehicles by Chen Zhiyuan

“…Additionally, multimodal data fusion (e.g., LiDAR point clouds and radar signals) faces synchronization latency, calibration complexity, and computational demands. …”
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Machine‐learning based spatiotemporal prediction of soil moisture in a grassland hillslope by Timo Houben, Pia Ebeling, Swamini Khurana, Julia Sabine Schmid, Johannes Boog

“…For training and testing the ML models, we used SM point measurements obtained by a sensor network. …”
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A Quadratic Traversal Algorithm of Shortest Weeding Path Planning for Agricultural Mobile Robots in Cornfield by Le Zhang, Rui Li, Zhiqiang Li, Yuyao Meng, Jinxin Liang, Leiyang Fu, Xiu Jin, Shaowen Li

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Vehicle detection in drone aerial views based on lightweight OSD-YOLOv10 by Yang Zhang, Xiaobing Chen, Su Sun, Hongfeng You, Yuanyuan Wang, Jianchu Lin, Jiacheng Wang

“…Compared to other YOLO series and lightweight models, OSD-YOLOv10 exhibits superior detection accuracy and lower computational complexity, achieving an optimal balance between high accuracy and low resource consumption. …”
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Mixed Reality Human–Robot Interface With Adaptive Communications Congestion Control for the Teleoperation of Mobile Redundant Manipulators in Hazardous Environments by Krzysztof Adam Szczurek, Raul Marin Prades, Eloise Matheson, Jose Rodriguez-Nogueira, Mario Di Castro

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A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

“…Finally, a multidimensional attention mechanism is integrated into cross-attention to further optimize prediction performance. The experimental results show that, compared with various knowledge tracing models on multiple datasets, MASKT’s prediction performance remains 2 percentage points higher. …”
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Segmentation-Based Detection for Luffa Seedling Grading Using the Seg-FL Model by Sheng Jiang, Fangnan Xie, Jiangbo Ao, Yechen Wei, Jingye Lu, Shilei Lyu, Zhen Li

“…By optimizing the CIoU loss function, the calculation of overlapping areas, center point distances, and aspect ratios between predicted and ground truth boxes is preserved, thereby accelerating the convergence process and reducing the computational resource requirements on edge devices. …”
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The potential & limitations of monoplotting in cross-view geo-localization conditions by Bradley J. Koskowich, Michael J. Starek, Scott A. King

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Semi-supervised anchorless single-engine grip detection by Yun Shi, Gang Zhang, Min Kong, Jie Fang

“…Finally, the boundary value of the minimum boundary rectangle is obtained by judging the optimal target and the optimal grasping point of the inference module, and the final result is obtained by rotating back to the coordinate output on the original image area. …”
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Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction by Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Nasrin Salehi, Mahyar Moradi, José J. M. Machado, João Manuel R. S. Tavares

“…This method significantly reduces the time required to reach the maximum power point (MPP), lowers the computational load of the control system by predicting shadow movements, and enhances the MPPT speed while maintaining system stability. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…Finally, the model incorporates these elements (growth points, food locations, obstacles) to analyze and optimize spatial functions.ResultsThe research results indicate that the design method for spatial network analysis using slime mold intelligence based on POI data mapping is highly feasible in the landscape design of small and medium-sized sites. …”
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