Large-Scale Demand Driven Design of a Customized Bus Network: A Methodological Framework and Beijing Case Study by Jihui Ma, Yang Yang, Wei Guan, Fei Wang, Tao Liu, Wenyuan Tu, Cuiying Song

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Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition by Yuncheng Zhang, Ruojie Qu, Olivier Girard

“…Additionally, the AI system reduced average review time by approximately 81% by automatically identifying critical frames.DiscussionWhile AI significantly improved efficiency and showed high consistency with expert judgments, human oversight remains crucial for ambiguous or complex cases. …”
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Nuevos modelos para la Caracterización, Detección y Diagnóstico de Fallas en Máquinas Eléctricas Rotativas by Jair Elías Araujo Vargas, Dilan Yesid Franklin Coronel, Victor Manuel Arias Ruiz

“…Physical methods and vibration analysis are currently used to detect problems, although these approaches present limitations in both accuracy and efficiency due to the subjectivity of each case and the loss of information in each case. …”
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A Review: The Application of Path Optimization Algorithms in Building Mechanical, Electrical, and Plumbing Pipe Design by Ruijun Deng, Xiaoliang Li, Yuhua Tian

“…This review systematically integrates recent advancements in path optimization algorithms for the automated layout of mechanical, electrical, and plumbing (MEP) systems within complex building environments. A hybrid optimization framework is introduced, combining the global search capability of Ant Colony Optimization (ACO) with the local refinement efficiency of the A* algorithm, enhanced by dynamic weight adjustment and context-aware mechanisms. …”
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Research Progress and Applications of Artificial Intelligence in Agricultural Equipment by Yong Zhu, Shida Zhang, Shengnan Tang, Qiang Gao

“…The key innovations are highlighted in areas such as object detection and recognition (e.g., a K-nearest neighbor (KNN) achieved 98% accuracy in distinguishing vibration signals across operation stages); autonomous navigation and path planning (e.g., a deep reinforcement learning (DRL)-optimized task planner for multi-arm harvesting robots reduced execution time by 10.7%); state perception (e.g., a multilayer perceptron (MLP) yielded 96.9% accuracy in plug seedling health classification); and precision control (e.g., an intelligent multi-module coordinated control system achieved a transplanting efficiency of 5000 plants/h). …”
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Design of a reliable and coordinated protection strategy for zonal shipboard power systems by Mehdi Mohammadzamani, Iman Sadeghkhani, Majid Moazzami

“…However, the protection of such systems is a challenging task due to their complex topology and the potential for multiple sources of fault. …”
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EnhanceCenter for improving point based tracking and rich feature representation by Hyun-Sung Yang, Sung-Wook Park, Se-Hoon Jung, Chun-Bo Sim

“…This research underscores the potential of lightweight detectors in achieving state-of-the-art multiple-object tracking performance, paving the way for more efficient tracking solutions in complex environments.…”
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Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing by Li Wang, Feng Chen, Yujia Hu, Zhiyao Zheng, Kexin Zhang

“…In addition, the system captures 3D point cloud data of the transformer’s interior using multi-view RGB-D cameras and performs multimodal semantic segmentation and object detection via the ODIN model, facilitating the high-precision identification and cutting of complex components such as windings, studs, and silicon steel sheets. …”
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Recent advances in bio-microsystem integration and Lab-on-PCB technology by Sotirios Papamatthaiou, Pavlos Menelaou, Bilal El Achab Oussallam, Despina Moschou

“…This platform facilitates the seamless integration of microfluidics, sensors, and actuators within a single device, enabling complex, multifunctional systems suitable for real-world deployment. …”
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Raman‐Enabled Predictions of Protein Content and Metabolites in Biopharmaceutical Saccharomyces cerevisiae Fermentations by Jeppe Hagedorn, Guilherme Ramos, Miguel Ressurreição, Ernst Broberg Hansen, Michael Sokolov, Carlos Casado Vázquez, Christos Panos

“…Its ability to provide detailed information about molecular vibrations makes it ideal for the detection and quantification of therapeutic proteins and critical control parameters in complex biopharmaceutical mixtures. …”
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A Study on the Yield Stability of Oilseed Sunflower Genotypes under Drought Stress by Nasrin Akbari, Reza Darvishzadeh

“…Based on this, several methods have been introduced for selection with optimal efficiency and high accuracy. …”
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Evaluation methods of clay stabilizer in shale reservoirs based on X-ray diffraction and capillary suction time by HE Yanlong, WANG Xin, XUE Xiaojia, HUANG Hai, WU Jiang, LIU Xiaoqing, TANG Siyuan, HU Zhiqiang

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Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

“…In addition, the new method makes it possible to understand complex cases when several factors are combined, indicating potential pathology. …”
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DMP-KDO-PCLoSA: a LiDAR point cloud visibility analysis method for urban remote sensing using depth map projection and KNN optimization by Jianghong Zhao, Yihong Zhang, Ailin Xu, Xueqing Zhang, Yingyi Zhang, Shuhan Guo

“…Compared to density-based and voxel-based methods, our approach achieves 92.23% visibility detection accuracy (VDA), reduces false detection rates by 1.09%, and decreases computation time by 40%. …”
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Identification of Ground Fissures in Mining Areas from UAV Images Based on RDC-UNet by Zhu Huashan

“…Traditional geological exploration methods are inefficient and costly, making the precise detection of large-scale fissures difficult. Deep learning methods using unmanned aerial vehicle (UAV) images have become a popular approach for fissure detection, although challenges such as insufficient accuracy and poor adaptability in complex backgrounds remain. …”
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Machine vision-based testing action recognition method for robotic testing of mobile application by Tao Zhang, Zhengqi Su, Jing Cheng, Feng Xue, Shengyu Liu

“…However, the difficulty of estimating multi-dimensional gestures in 2D images leads to complex algorithm steps, including tracking, detection, and recognition of dynamic gestures. …”
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Research on Deep Integration of the “Belt and Road” Aviation Network Based on Community Structure from the Perspective of China by Hongguang Yao, Huihui Xiao

“…Air transport has broad development potential along the “ Belt and Road” by owing to its fast, direct, and comfortable advantages, and the community structure is an important factor determining the efficiency and service functions of the aviation network. …”
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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Mohammed Alqarni, Elham Abdullah Alghamdi, Nasir Ayub

“…This paper introduces GNN-RMNet, a hybrid deep learning system that combines GNN, ResNet, and MobileNet for interpretable, scalable, and efficient driver behavior profiling and route anomaly detection. …”
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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction by Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan

“…Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. …”
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Research and Implementation of Travel Aids for Blind and Visually Impaired People by Jun Xu, Shilong Xu, Mingyu Ma, Jing Ma, Chuanlong Li

“…., walking sticks, basic audio feedback) provide limited flexibility and interactivity for complex environments. To solve this problem, we propose a real-time travel assistance system based on deep learning. …”
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