Research on the Real-Time Scoring of Chest Ring Target Based on Transfer Learning and Improved Lightweight Neural Network by Minghui Meng, Chuande Zhou

“…First, the Repvit-MobileNet block (re-parameterized depth wise separable mobile network module) is introduced into its backbone network to reduce model size and computational complexity while improving detection speed. Then, grouped shuffle convolution (GSConv) is used to reconstruct the standard down sampling convolutions in the PANFPN structure, promoting feature information extraction and fusion at bullet hole edges, reducing model computational complexity, and maintaining detection accuracy. …”
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On-site quantitative analysis of As(III) and As(V) in aqueous phase using portable laser-induced fluorescence platform by Lixia Feng, Qilong Bian, Shujun Wu, Tianyu Gao, Pei Zhang, Shujian Dai, Zebing Zeng, Sheng Xie

“…Here, a fluorogenic method is developed for the efficient detection of arsenite and arsenate ions using a portable platform directly in an aqueous phase. …”
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An antifouling polydopamine-based fluorescent aptasensor for determination of arginine kinase by Yanbo Wang, Huan Li, Jinru Zhou, Fangting Wang, Yifan Qian, Linglin Fu

“…Simple yet efficient detection methods for food allergens are in urgent need to help people avoid the risks imposed by allergenic food. …”
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Enhancing Bottleneck Analysis in Ship Manufacturing with Knowledge Graphs and Large Language Models by Yanjun Ma, Tao Wu, Bin Zhou, Xiaoyang Liang, Jiwang Du, Jinsong Bao

“…This approach provides a scalable and efficient solution for analyzing complex bottleneck issues in industrial production, contributing to enhanced manufacturing efficiency and digital transformation.…”
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LeafDNet: Transforming Leaf Disease Diagnosis Through Deep Transfer Learning by Tofayet Sultan, Mohammad Sayem Chowdhury, Nusrat Jahan, M. F. Mridha, Sultan Alfarhood, Mejdl Safran, Dunren Che

“…These results emphasize the potential of this advanced deep learning framework as a scalable, efficient, and highly accurate solution for early plant disease detection, providing substantial benefits for plant health management and supporting sustainable agricultural practices.…”
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Intelligent Perception and Seam Tracking System for Thick Plate Weldments Based on Constant-Focus Optical Path by Lei Zhai, Wenze Ren, Fei Li, Rong Wu, Jinsong Lin, Jiahui Feng, Jun Zheng, Yang Liu

“…To achieve efficient and accurate thick plate welding, as well as to precisely extract and plan the paths of complex three-dimensional weld seams in large steel structures, this study introduces a novel vision-guided approach for robotic welding systems utilizing a constant-focus laser sensor. …”
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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…This module processes low-resolution water-level images to generate high-resolution outputs, thereby enabling reliable detection even in suboptimal conditions. Furthermore, unlike existing complex model-based approaches, our enhanced, lightweight Yolov5 model, featuring a small-scale feature mapping branch, ensures real-time monitoring and accurate detection across a variety of conditions, including daytime, nighttime, misty conditions, and wet surfaces. …”
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Cyberattack Resilience of Autonomous Vehicle Sensor Systems: Evaluating RGB vs. Dynamic Vision Sensors in CARLA by Mustafa Sakhai, Kaung Sithu, Min Khant Soe Oke, Maciej Wielgosz

“…Autonomous vehicles (AVs) rely on a heterogeneous sensor suite of RGB cameras, LiDAR, GPS/IMU, and emerging event-based dynamic vision sensors (DVS) to perceive and navigate complex environments. However, these sensors can be deceived by realistic cyberattacks, undermining safety. …”
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A Spectral Editing Technique Based on Optimized Control of Nuclear Spin to Realize Lactate Signal Selection by SHAO Zhengze, WANG Xingle, YANG Xue, XIN Jiaxiang, WEI Daxiu, YAO Yefeng

“…This study provides new ideas and methods for efficiently selecting the signals of lactate in complex systems.…”
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Evaluation of a UAS-based Bridge Inspection Framework with Automated Damage Candidate Suggestion and Human-in-the-loop Damage Assessment by E. T. Bartczak, M. Bassier, M. Vergauwen

“…Unmanned aerial systems have shown considerable potential to improve bridge inspection procedures by enhancing safety, efficiency, and data quality. However, developing a comprehensive system that integrates safe flight planning, data acquisition, automated damage detection, and reporting while addressing practical challenges remains complex. …”
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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

“…Additionally, a hybrid classification approach is introduced, combining Autoencoder (AE) with the Butterfly Optimization Algorithm (BOA) to enhance detection accuracy. To manage and process large datasets effectively, the MapReduce tool is used for efficient data handling. …”
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Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…Specifically, ANN models excel at detecting subtle, complex patterns that reflect battery health and performance, crucial for accurate SOC estimation. …”
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Molecular Xenomonitoring (MX) allows real-time surveillance of West Nile and Usutu virus in mosquito populations. by Clément Bigeard, Laura Pezzi, Raphaelle Klitting, Nazli Ayhan, Grégory L'Ambert, Nicolas Gomez, Géraldine Piorkowski, Rayane Amaral, Guillaume André Durand, Agathe M G Colmant, Cynthia Giraud, Katia Ramiara, Camille Migné, Gilda Grard, Thierry Touzet, Stéphan Zientara, Rémi Charrel, Gaëlle Gonzalez, Alexandre Duvignaud, Denis Malvy, Xavier de Lamballerie, Albin Fontaine

“…West Nile Virus (WNV) and Usutu virus (USUV) circulate through complex cryptic transmission cycles involving mosquitoes as vectors, birds as amplifying hosts and several mammal species as dead-end hosts. …”
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Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model by Shengkun Liao, Lei Zhang, Yunli He, Junhui Zhang, Jinxu Sun

“…The optimized YOLOv11n model achieves state-of-the-art precision (P) and mAP@0.5 compared to YOLOv5, YOLOv8n, and the baseline model, with a minor 0.9% recall (R) deficit compared to YOLOv5 but more balanced overall performance and superior capability for small-object detection. By fusing the two improved modules, the proposed system successfully realizes autonomous charging navigation, providing an efficient solution for energy management in intelligent vehicles in real-world environments.…”
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The Optical System Design of a Space-Based Wide-Field Infrared Slitless Spectrometer by Yue Chen, Liang Zhou, Peiquan Chen, Pengkai Dong, Haiyang Zhang, Wenji She

“…With the increasingly complex space environment, the operational safety of spacecraft faces severe challenges, creating an urgent need to develop efficient and reliable space target detection and identification technologies. …”
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Occlusion Vehicle Target Recognition Method Based on Component Model by Haorui Han, Hanshan Li

“…Based on the U-net codec structure, combining multi-scale detection and double constraints loss to improve the visual region segmentation under complex background (VSRS) performance. …”
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Salting-Out Assisted Liquid-Liquid Extraction of Cr (VI) from Water Samples before Its Determination by UV-Vis Spectrophotometry by Jote Dame, Feyisa Wedajo, Guyo Jilo Molole, Abera Gure

“…Parameters affecting the complexation process and the extraction efficiency of the method were studied. …”
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Sensing-Aided Communication Method for Distributed Radar Communication System by Xinren Wang, Sisi Xia, Zhongzheng Ding, Qin Wang, Wenchao Xia, Haitao Zhao

“…Numerical simulation results show that this scheme can achieve excellent performance in complex real-world environments. This work contributes to the development of efficient ISAC solutions and provides insights for future research into 6G technologies.…”
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Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult... by Qing Zeng, Fang Peng, Xiaojuan Han

“…The framework incorporates self-attention mechanisms and Multi-Task Learning (MTL) strategies to capture long-term dependencies and complex patterns in energy consumption time series data, while simultaneously optimizing prediction accuracy and anomaly detection. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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