A Consensus-Driven Distributed Moving Horizon Estimation Approach for Target Detection Within Unmanned Aerial Vehicle Formations in Rescue Operations by Salvatore Rosario Bassolillo, Egidio D’Amato, Immacolata Notaro

“…Such an approach offers advantages in terms of cost-effectiveness, operational flexibility, and mission success rates, particularly in complex scenarios such as search and rescue operations, environmental monitoring, and surveillance. …”
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Design of a cost-effective fiberglass-coated thin-film microextraction device for the detection of bendiocarb, carbofuran and atrazine agrochemicals from water by Harshika Poojary, Sophia Koo, Chiranjit Ghosh

“…The developed technique aligned with the green analytical principles due to low solvent use, minimal waste generation, and energy efficiency. The AGREE score emphasized its strong connection with green chemistry, while complex GAPI and BAGI validated its environmental compatibility and user safety. …”
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Research on an Apple Recognition and Yield Estimation Model Based on the Fusion of Improved YOLOv11 and DeepSORT by Zhanglei Yan, Yuwei Wu, Wenbo Zhao, Shao Zhang, Xu Li

“…This study introduces APYOLO, an enhanced apple detection algorithm based on an improved YOLOv11, integrated with the DeepSORT tracking algorithm to improve both detection accuracy and operational speed. …”
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HiDRA-DCDNet: Dynamic Hierarchical Attention and Multi-Scale Context Fusion for Real-Time Remote Sensing Small-Target Detection by Jiale Wang, Zhe Bai, Ximing Zhang, Yuehong Qiu, Fan Bu, Yuancheng Shao

“…Small-target detection in remote sensing presents three fundamental challenges: limited pixel representation of targets, multi-angle imaging-induced appearance variance, and complex background interference. …”
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Advancing depth perception in spatial computing with binocular metalenses by Junkyeong Park, Gyeongtae Kim, Junsuk Rho

“…Liu et al. presents a compact binocular metalens-based depth perception system that integrates efficient edge detection through an advanced neural network. …”
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A High-Precision Defect Detection Approach Based on BiFDRep-YOLOv8n for Small Target Defects in Photovoltaic Modules by Yi Lu, Chunsong Du, Xu Li, Shaowei Liang, Qian Zhang, Zhenghui Zhao

“…However, latent faults emerging from the long-term operation of photovoltaic (PV) power plants significantly compromise their operational efficiency. The existing EL detection methods in PV plants face challenges including grain boundary interference, probe band artifacts, non-uniform luminescence, and complex backgrounds, which elevate the risk of missing small defects. …”
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Enhanced AUV Autonomy Through Fused Energy-Optimized Path Planning and Deep Reinforcement Learning for Integrated Navigation and Dynamic Obstacle Detection by Kaijie Zhang, Yuchen Ye, Kaihao Chen, Zao Li, Kangshun Li

“…This fusion significantly advances the integration of navigation with dynamic obstacle detection. Ultimately, it enhances AUV operational performance and autonomy in complex maritime scenarios.…”
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Scalable Nuclei Detection in HER2-SISH Whole Slide Images via Fine-Tuned Stardist with Expert-Annotated Regions of Interest by Zaka Ur Rehman, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, Fazly Salleh Abas, Phaik-Leng Cheah, Seow-Fan Chiew, Lai-Meng Looi

“…Our framework supports pathologists by offering reliable, automated nuclei detection in HER2 scoring workflows, contributing to diagnostic consistency and efficiency in clinical pathology.…”
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Spot the bot: the inverse problems of NLP by Vasilii A. Gromov, Quynh Nhu Dang, Alexandra S. Kogan, Assel Yerbolova

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Age and gender-related changes in choroidal thickness: Insights from deep learning analysis of swept-source OCT images by Dan Song, Guanzheng Wang, Guangfeng Liu, Chengxia Zhang, Bin Lv, Yuan Ni, Guotong Xie

“…SS-OCT was utilized for CT, Sattler layer-choriocapillaris complex thickness (SLCCT), and Haller layer thickness (HLT) measurements. auto-measurement method, based on deep learning algorithms, ensured accuracy. …”
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Toward Semantic Event-Handling for Building Explainable Cyber-Physical Systems by Gernot Steindl, Tobias Schwarzinger, Katrin Schreiberhuber, Fajar J. Ekaputra

“…In the context of cyber-physical systems (CPS), understanding system behaviors is crucial for ensuring reliability, efficiency, and trust. However, due to the increasing complexity of the modern CPS, gaining such understanding is becoming more challenging. …”
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Deep Learning-Based Seedling Row Detection and Localization Using High-Resolution UAV Imagery for Rice Transplanter Operation Quality Evaluation by Yangfan Luo, Jiuxiang Dai, Shenye Shi, Yuanjun Xu, Wenqi Zou, Haojia Zhang, Xiaonan Yang, Zuoxi Zhao, Yuanhong Li

“…However, the working environment of rice transplanters in paddy fields is complex, and data obtained solely from GPS devices installed on agricultural machinery cannot directly reflect the specific information of seedlings, making it difficult to accurately evaluate the quality of rice transplanter operations. …”
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Operational Feasibility and Performance of mRPA Versus PCR for the Detection of HPV Types 16, 18, and 52 in Clinical Samples: An Exploratory Study by Hartanti MD, Amtha R, Wratsangka R, Rinanti A, Djuana E, Hizbulloh I, Teguh CA, Kogoya A, Subekti DT, Desem MI, Lestari CSW, Asmaria T

“…Current PCR methods are widely used for HPV detection but are limited by the need for complex thermal cycling equipment and lengthy processing times, which restrict their use in low-resource settings. …”
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Rapid Detection of Trace Toxicants in Blood Using Thermal Desorption Coupled to Continuous Atmospheric Pressure Interfaced Ion Trap Mass Spectrometry by Hui-wen RUAN, Gui-yun SONG, Zhi-gang FAN, Suo-suo YANG, Jian KANG, Lei HUA, Wei-guo WANG

“…In addition, combined with simple and efficient liquid-liquid extraction, the rapid and accurate detection of toxicants in blood was achieved within 2 min. …”
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Deep-Learning-Based Automated Building Construction Progress Monitoring for Prefabricated Prefinished Volumetric Construction by Wei Png Chua, Chien Chern Cheah

“…As manually processing high volumes of visual data can be extremely time consuming and tedious, building construction progress monitoring can be automated to be more efficient and reliable. However, the complex nature of construction sites and the presence of nearby infrastructure could occlude or distort visual data. …”
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A lightweight Xray-YOLO-Mamba model for prohibited item detection in X-ray images using selective state space models by Kai Zhao, Shufan Peng, Yujin Li, Tianliang Lu

“…Abstract X-ray image-based prohibited item detection plays a crucial role in modern public security systems. …”
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A one-pot, one-step CRISPR-AapCas12b-based platform for sensitive and specific detection of Klebsiella pneumoniae by Juan Zhou, Zirong Wu, Lei Yu, Xiaolan Huang, Fei Xiao, Yu Zhang, Linglong Wan, Jin Fu, Nan Jia, Min Chen, Chunrong Sun, Zhaomin Feng, Yi Wang

“…This one-pot assay achieves a remarkable limit of detection 10 fg (∼1.6 copies) of K. pneumoniae DNA within a 40-min isothermal reaction at 59 °C, eliminating the need for complex multi-step procedures. …”
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Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network by Jakov Ivan S. Dumbrique, Jakov Ivan S. Dumbrique, Reynan B. Hernandez, Reynan B. Hernandez, Juan Miguel L. Cruz, Ryan M. Pagdanganan, Prospero C. Naval

“…Compared to prior research and baseline FCNNs, our model demonstrates significantly higher accuracy in detection and segmentation while maintaining computational efficiency. …”
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RegCDNet: A RegNet-Based Framework for Remote Sensing Image Change Detection Combining Feature Enhancement and Gating Mechanism by Chuanlu Li, Xiaorong Xue, Caijia Zeng, Yifan Xu, Xingbiao Xu, Siyue Zhao

“…With the rapid development of remote sensing (RS) technology, it has become more and more convenient to obtain multi-temporal RS images, which provides new opportunities for the research and development of change detection (CD) technology. However, existing methods still have shortcomings in recognizing complex targets and accurately distinguishing the edges of change regions when performing CD in complex backgrounds. …”
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FIDC-YOLO: Improved YOLO for Detecting Pine Wilt Disease in UAV Remote Sensing Images via Feature Interaction and Dependency Capturing by Zekun Xu, Yipeng Zhou, Shiting Wen, Weipeng Jing

“…Uncrewed aerial vehicle (UAV) remote sensing technology has been widely applied in pine wilt disease (PWD) detection. UAV-collected PWD images are characterized by complex backgrounds, small target sizes, and uneven spatial distribution. …”
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