Gas pipeline leakage detection based on multiple multimodal deep feature selections and optimized deep forest classifier by Eddie Zhang, Evan Zhang

“…This lightweight AI architecture is successfully deployed on a soft robotic system for real-time gas leak detection. Our proposed architecture is also extensible to other environmental hazard detection situations, such as liquid leaks in the pipelines.…”
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Comparative Analysis of Linear and Nonlinear sEMG Methods for Detecting Muscle Fatigue During Dynamic Biceps Curls by Tang Ming, Ling Weay Ang, Sellappan Palaniappan

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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. …”
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2TSS: Two-Tier Semantic Segmentation Framework With Enhancement for Hotspot Detection of Solar Photovoltaic Thermal Images by Nurul Huda Ishak, Iza Sazanita Isa, Muhammad Khusairi Osman, Mohd Shawal Jadin, Kamarulazhar Daud, Mohd Zulhamdy Ab Hamid

“…This study introduces a novel method based on Two-tier Semantic Segmentation (2TSS) framework explicitly aimed at enhancing hotspot detection in thermal images of PV modules. The proposed method is designed with two subsequent stages of segmentation models, including image pre-processing at the initial of the framework. …”
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Continued presence of enrofloxacin residues in feathers of broiler parent stock based on quantitative UHPLC-MS/MS detection by Moniek Ringenier, Marc Cherlet, Jeroen Dewulf, Mathias Devreese

“…ENR concentrations remained relatively stable throughout the observation period. For CIP, an initial rapid decline in concentration was observed, followed by a steady-state phase. …”
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Acoustic Signal Reconstruction Across Water–Air Interface Through Millimeter-Wave Radar Micro-Vibration Detection by Yuchen Du, Xiaolong Cao, Yiguang Yang, Tongchang Zhang, Jiaqi Yuan, Tengyuan Cui, Jianquan Yao

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Research on X-Ray Weld Defect Detection of Steel Pipes by Integrating ECA and EMA Dual Attention Mechanisms by Guanli Su, Xuanhe Su, Qunkai Wang, Weihong Luo, Wei Lu

“…X-ray non-destructive testing (NDT), known for its non-invasive and efficient characteristics, is widely used for weld defect detection. However, challenges such as low contrast between defects and background, as well as large variations in defect scales, reduce the accuracy of existing object detection models. …”
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From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline by Jonas Rheiner, Daniel Kerger, Matthias Drüppel

“…We employ a two-step training: The backbone is initialized through transfer learning and frozen for the initial training of the head. …”
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Real-Time Detection, Evaluation, and Mapping of Crowd Panic Emergencies Based on Geo-Biometrical Data and Machine Learning by Ilias Lazarou, Anastasios L. Kesidis, Andreas Tsatsaris

“…Crowd panic emergencies can pose serious risks to public safety, and effective detection and mapping of such events are crucial for rapid response and mitigation. …”
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Clinical Validation of Commercial AI Software for the Detection of Incidental Vertebral Compression Fractures in CT Scans of the Chest and Abdomen by Vinu Mathew, Dawn Pearce, Noah Kates Rose, Sidharth Saini, Earl Bogoch

“…A secondary aim was to assess the rate of missed VCFs using initial radiologist reports. <b>Methods:</b> A retrospective analysis was performed on 590 outpatient CT scans. …”
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Comparing Images from Near-Infrared Light Reflection and Bitewing Radiography to Detect Proximal Caries in Primary Teeth by Aviv Shmueli, Avia Fux-Noy, Esti Davidovich, Diana Ram, Moti Moskovitz

“…Conclusions: No additional diagnostic information can be gleaned from BWR if initial caries lesions in the enamel are not detected by clinical examination or in images from a NIRI scanner, making BWR unnecessary.…”
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DETEC-ADHD: A Data-Driven Web App for Early ADHD Detection Using Machine Learning and Electroencephalography by Ismael Santarrosa-López, Giner Alor-Hernández, Maritza Bustos-López, Jonathan Hernández-Capistrán, Laura Nely Sánchez-Morales, José Luis Sánchez-Cervantes, Humberto Marín-Vega

“…Attention Deficit Hyperactivity Disorder (ADHD) diagnosis is often challenging due to subjective assessments and symptom variability, which can delay accurate detection and treatment. To address these limitations, this study introduces DETEC-ADHD, a web-based application that combines machine learning (ML) techniques with multi-source data to enhance diagnostic accuracy. …”
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An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

“…Through synergistic integration of architectural optimization, sophisticated regularization methods, and deployment-aware training, our proposed system enables earlier and more accurate detection. This innovation has the potential to greatly enhance healthcare delivery by equipping radiologists and clinicians with a strong second opinion and initial read capability, ultimately leading to improved patient outcomes and decreased mortality related to this widespread disease.…”
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Clinical value and survival analysis of subcutaneous soft tissue metastasis detected by 18F-FDG PET/CT by Yufei Gao, Hui Zhang, Tiancheng Hao, Lizhuo Jia, Jiangmeng Wu, Dongxue Wu, Siqi Wu, Yong Wang

“…There is no correlation between gender, metastasis pattern, metastasis at initial diagnosis, use of chemotherapy, and survival time.ConclusionWhole body PET/CT imaging has important application value in the diagnosis of subcutaneous soft tissue metastasis. …”
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REPRODUCTIVE ECOLOGY AND NESTING HABITAT OF EASTERN WILD TURKEYS IN WESTERN VIRGINIA by Cale L. Godfrey, Gary W. Norman

“…Ten percent of all nesting females began incubation by 19 April in 1992 and 2 May in 1993. Mean incubation initiation (T = 4.34, n = 61, P = 0.001) and hatching (T = – 2.91, n = 33, P = 0.004) dates were earlier in 1992. …”
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Exploring the Role of FDG PET CT Scan in Detecting High Grade Diffuse Large B-Cell Lymphoma by Marzieh Azmoun, Mohammad Moeini Nodeh, Maryam Emadzadeh, Kamran Ariana, Habibollah Dadgar, Amirreza Khorosanchi, Emran Askari, Eisa Nazar

“…Currently, the standard method for evaluating patients at the initial stages of cancer diagnosis in Mashhad oncology centers involves computed tomography scans (CT scans), histopathological evaluation of tissue, bone marrow sampling, and cytogenetic studies, all of which are time-consuming and costly. …”
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A case of hypophysitis after COVID-19 vaccination with a detection of anti-pituitary antibody, with review of literature by Chika Kyo, Tomoko Kobayashi, Shintaro Iwama, Rieko Kosugi, Fumikazu Sawabe, Ryo Hayafusa, Yuki Sakai, Tatsuo Ogawa, Masato Kotani, Tatsuhide Inoue, Hiroshi Arima, Hiroyuki Ariyasu

“…Anti-pituitary antibodies (APAs) against corticotrophs, thyrotrophs, gonadotrophs, and folliculo stellate cells (FSCs) were detected in serum samples taken 3 months after onset. …”
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Evaluation of a composite pain scale including facial expressions for detecting orthopedic pain in lame dairy cows by Maja Söderlind, Katrina Ask, Anna Leclercq, Therése Åkesson, Jean-Francois Valarcher, Elin Hernlund, Pia Haubro Andersen, Marie Rhodin

“…Each lameness case consisted of 2 trials: when the cow was found to be lame (initial trial), and after treatment and improvement (follow-up trial). …”
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“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study by Andre Briosa e Gala, Michael T. B. Pope, Milena Leo, Alexander J. Sharp, Abhirup Banerjee, Duncan Field, Honey Thomas, Richard Balasubramaniam, Ross Hunter, Roy S. Gardner, David Wilson, Mark M. Gallagher, Julian Ormerod, John Paisey, Nick Curzen, Timothy R. Betts

“…Abstract Introduction The novel Confirm Rx™ implantable cardiac monitor (ICM) with SharpSense™ technology incorporates a new P‐wave discriminator designed to improve AF detection. This study aimed to evaluate the diagnostic performance of the Confirm Rx™ ICM in detecting AF episodes of varying durations. …”
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Deep Learning‐Enhanced Hand‐Driven Microfluidic Chip for Multiplexed Nucleic Acid Detection Based on RPA/CRISPR by Tao Xu, Ying Zhang, Shunji Li, Chenxi Dai, Hongguo Wei, Dongjuan Chen, Yunjun Zhao, He Liu, Deliang Li, Peng Chen, Bi‐Feng Liu, Ye Tian

“…In addition, a smartphone microimaging system combined with the ResNet‐18 deep learning model is used to improve the readout efficiency and convenience of the detection system, with initial prediction accuracies of 96.0% and 98.0% for HPV‐16 and HPV‐18, respectively. …”
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