Research on Fusion of Locomotive Safety Monitoring and Detection Data and Its Application by GONG Li, QIAO Bin, ZHAO Chao, YAO Kai

“…A big data based data platform for locomotive safety monitoring and detection is built to realize remote, intelligent and collaborative fault diagnosis of locomotive, so as to guarantee the safe and stable operation of locomotive.…”
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Method for Vocal Fold Paralysis Detection Based on Perceptual and Acoustic Assessment by Rafał HALAMA, Krzysztof SZKLANNY, Danijel KORŽINEK

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A call to action for adverse drug event (ADE) detection and prevention by John McCue, C. David Butler, Raymond C. Love, Shelly Spiro, Roy Guharoy, the United States Pharmacopeia (USP) Allergy & Intolerance Classification Expert Panel

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A Review of the Recent Trends in Mobile Malware Evolution, Detection, and Analysis by Seetah Almarri, Alanoud Bodokhi, Mounir Frikha

“…Furthermore, the research investigates the impact of collaborative threat intelligence sharing and AI-driven tools in improving malware detection and analysis. …”
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MRD: A Linear-Complexity Encoder for Real-Time Vehicle Detection by Kaijie Li, Xiaoci Huang

“…To address these limitations, this study introduces Mamba RT-DETR (MRD), an optimized architecture featuring three principal innovations: (1) We devise an efficient vehicle detection Mamba (EVDMamba) network that strategically integrates a linear-complexity state space model (SSM) to substantially mitigate computational overhead while preserving feature extraction efficacy. (2) To counteract the constrained receptive fields and suboptimal spatial localization associated with conventional SSM sequence modeling, we implement a multi-branch collaborative learning framework that synergistically optimizes channel dimension processing, thereby augmenting the model’s capacity to capture critical spatial dependencies. (3) Comprehensive evaluations on the BDD100K benchmark demonstrate that MRD architecture achieves a 3.1% enhancement in mean average precision (mAP) relative to state-of-the-art RT-DETR variants, while concurrently reducing parameter count by 55.7%—a dual optimization of accuracy and efficiency.…”
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Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

“…This paper is based on the collaborative design consept of “hardware-accelerated preprocessing + software-based precise detection”, fully leveraging FPGA’s parallel processing capabilities and CPU’s flexible computation advantages. …”
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FEXGBIDS: Federated XGBoost-Based Intrusion Detection System for In-Vehicle Network by Jie Li, Yuanyuan Song, Ming-Gang Zheng, Shuo Zhang, Han Liang

“…Traditional Intrusion Detection Systems (IDS) struggle to balance privacy protection, computational efficiency, and detection accuracy. …”
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Advancements in detecting Deepfakes: AI algorithms and future prospects − a review by Laishram Hemanta Singh, Panem Charanarur, Naveen Kumar Chaudhary

“…Deepfake technology’s growth presents risks in fraud and misinformation, urging advancements in detection methods. The study advocates for collaborative efforts and legal reforms, especially in India, to combat Deepfake challenges.…”
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Steel Surface Defect Detection Technology Based on YOLOv8-MGVS by Kai Zeng, Zibo Xia, Junlei Qian, Xueqiang Du, Pengcheng Xiao, Liguang Zhu

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FoT: an efficient transformer framework for real-time small object detection in football videos by Wentao Zhang, Yaocong Yang

“…MFIM strengthens the collaborative expression of low-level details and high-level semantics through multi-scale feature alignment and progressive fusion, effectively integrating low-level details and high-level semantics, significantly improving small object detection performance. …”
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Spectrum Intensity Ratio Detection for Frequency Domain Weak Measurement System by Yuxuan Yang, Yang Xu, Tian Guan, Lixuan Shi, Jinyu Li, Dongmei Li, Yonghong He, Xiangnan Wang, Zhangyan Li, Yanhong Ji

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An enhanced substation equipment detection method based on distributed federated learning by Zhuyun Li, Qiutong Qin, Yingyi Yang, Xiaoming Mai, Yuya Ieiri, Osamu Yoshie

“…We propose CWA-YOLO, a detection framework integrating multi-scale feature fusion and an enhanced small-object detection head into YOLOv8 to improve accuracy across variable conditions. …”
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Lexicon for blood‐based early detection and screening: BLOODPAC consensus document by Christina A. Clarke, Breeana L. Mitchell, Girish Putcha, Emma Alme, Peter Bach, Jonathan P. Beer, Tomasz M. Beer, Michelle A. Beidelschies, Jody Hoyos, Eric Klein, Peter Kuhn, Nancy Krunic, Kathryn Lang, Jerry S. H. Lee, Dorys Lopez Ramos, David Morgenstern, Elissa Quinn, Victoria M. Raymond, Wendy S. Rubinstein, Stephanie A. Sanchez, Ryan Serra, Mark Stewart, Lauren C. Leiman

“…To accelerate the development, access, and adoption of these tests, the Blood Profiling Atlas in Cancer (BLOODPAC) Consortium, a collaborative infrastructure for developing standards and best practices, established the Early Detection & Screening (ED&S) Working Group. …”
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Detection of Yersinia pestis in Canine and Feline Companion Animals in the United States by Christina Weller, Dr. Ashley Malmlov, Dr. Josh Daniels, Dr. Paula Schaffer, Dr Kristy Pabilonia

“…Of these, Y. pestis was detected in 20 cats (7.72%) and 4 dogs (1.34%). All positive cases were detected in companion animals residing in Colorado, a geographic region known to have a high prevalence of plague in wildlife reservoir species. …”
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NSDLib: A comprehensive python library for network source detection and evaluation by Damian Frąszczak, Edyta Frąszczak

“…NSDLib, short for Network Source Detection Library, is an advanced package designed to detect the sources of propagation in networks. …”
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Driver Distraction Detection in Extreme Conditions Using Kolmogorov–Arnold Networks by János Hollósi, Gábor Kovács, Mykola Sysyn, Dmytro Kurhan, Szabolcs Fischer, Viktor Nagy

“…In this research, a custom dataset was used in collaboration with a partner company in the field of public transportation. …”
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Simulation of a radial TPC for the detection of neutrinoless double beta decay by R. Bouet, J. Busto, A. Cadiou, P. Charpentier, D. Charrier, M. Chapellier, A. Dastgheibi-Fard, F. Druillole, P. Hellmuth, C. Jollet, J. Kaizer, I. Kontul, P. Le Ray, M. Gros, P. Lautridou, M. Macko, A. Meregaglia, F. Piquemal, P. Povinec, M. Roche

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Mycotoxins in Ready-to-Eat Foods: Regulatory Challenges and Modern Detection Methods by Eleonora Di Salvo, Giovanni Bartolomeo, Rossella Vadalà, Rosaria Costa, Nicola Cicero

“…It is imperative that governments, the food industry, and the scientific community collaborate to reduce this risk and ensure consumer safety.…”
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Disinformation Detection: Developing a Categorical Framework Through Thematic Analysis by Antea Boko

“…This research aims to provide an answer to the need for a deeper understanding of how to detect and combat disinformation. The primary purpose of this research is to identify and systematize key categories that enable the detection of disinformation, providing a solid framework for combating this ubiquitous challenge. …”
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Offline Detection of Violations in Chinese E-Commerce Live Streaming Content by Xiaohan Liu, Chenyu Liu, Ran Bai, Liu Yuan, Yanquan Zhou, Minjiang Huang, Jipeng Qiang

“…This paper addresses the task of offline detection of content violations in recorded Chinese e-commerce live streaming videos. …”
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