A novel computer-aided diagnostic approach for detecting peripheral arterial disease in patients with diabetes. by Eva Elina Buschmann, Lulu Li, Michèle Brix, Andreas Zietzer, Philipp Hillmeister, Andreas Busjahn, Peter Bramlage, Ivo Buschmann

“…Owing to medial arterial calcification (MAC), the ankle-brachial index (ABI) is not always a reliable tool for detecting PAD. Arterial Doppler flow parameters, such as systolic maximal acceleration (ACCmax) and relative pulse slope index (RPSI), may serve as effective surrogates to detect stenosis-induced flow alteration. …”
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The Concept Design of Rice Quality Detection System Using Model-Based System Engineering Approach by Purwa Tri Cahyana, Titi Candra Sunarti, Erliza Noor, Hartrisari Hardjomidjojo, Noer Laily

“…System design was developed using Visual Paradigm Community Edition software and the data were analyzed through the application of R software. The ID3 algorithm simulation produced rice quality detection system with a 92.5% accuracy rate, where 53% of rice was classified as good and 47% as bad. …”
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A Novel Mechanism for Fire Detection in Subway Transportation Systems Based on Wireless Sensor Networks by Zhen-Jiang Zhang, Jun-Song Fu, Hua-Pei Chiang, Yueh-Min Huang

“…Fire is a common and disastrous phenomenon in subway transportation systems because of closed environment and large passenger flow. Traditional methods detect and forecast fire incidents by fusing the data collected by wireless sensor networks and compare the fusion result with a threshold. …”
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Design and Development of a Precision Spraying Control System for Orchards Based on Machine Vision Detection by Yu Luo, Xiaoli He, Hanwen Shi, Simon X. Yang, Lepeng Song, Ping Li

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Detection of genome-wide methylation changes in bladder cancer by long-read sequencing of urinary DNA by Anshita Goel, Benjamin J. Tura, Joanne D. Stockton, Nicholas Tovey, Luke Ames, Andrew D. Beggs, Maurice P. Zeegers, Nicholas D. James, K. K. Cheng, Richard T. Bryan, Douglas G. Ward, Roland Arnold

“…A limitation of the study is the small number of samples analysed; however, the detection of cancer-specific events demonstrates the feasibility of the approach, both in single and multiplexed flow-cell runs. …”
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A Review on Current Technologies and Future Direction of Water Leakage Detection in Water Distribution Network by Mohammed Rezwanul Islam, Sami Azam, Bharanidharan Shanmugam, Deepika Mathur

“…The third question was about the trend in the algorithm. ML and threshold-based algorithms are dominating the field. …”
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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…Finally, the cavitation detection effect was verified using the hydro-acoustic signal collected from a mixed-flow hydro turbine model test stand. …”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

“…The Enhanced Shrimp Detection algorithm generates the unique features set and also various parameters fetched from foundational classifiers. …”
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LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection by Kamal Chandra Paul, Chen Chen, Yao Wang, Tiefu Zhao

“…This article introduces lightweight arc fault detection network (LArcNet), a novel, lightweight, and rapid-response algorithm for series ac arc fault detection. …”
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Accurate and rapid single nucleotide variation detection in PCSK9 gene using nanopore sequencing by Ilaria Massaiu, Vincenza Valerio, Valentina Rusconi, Valentina Rusconi, Francesca Bertolini, Donato De Giorgi, Veronika A. Myasoedova, Paolo Poggio, Paolo Poggio

“…Twelve subjects were analyzed using different sequencing flow cells, basecalling models, and SNV calling algorithms. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…By using Euclidean distance along skeletal paths, the algorithm minimized error rates in length and width estimation. …”
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Anomaly Detection of Highway Vehicle Trajectory under the Internet of Things Converged with 5G Technology by Ketao Deng

“…The semantic representation is analyzed, and then the moving target detection and moving target tracking algorithms needed to extract the vehicle trajectory are introduced. …”
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A Device for the Rapid Detection of Benzodiazepines and Synthetic Cannabinoids via Fluorescence Spectroscopy and Machine Learning by A. Power, M. Gardner, C. Pudney

“…Results: Development of the first prototype of the device is nearing completion, and lab data has been collected for training the device's drug-detecting predictive model. Current experiments with established supervised-learning algorithms show favourable results in distinguishing Synthetic Cannabinoids. …”
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Breaking language barriers with image detection and natural language processing model for English to Spanish translation by Bakhita Salman, Andres Lopez, Nathanielle Delapena

“…The detected text is passed to an NLP system for translation, which employs a sequence-to-sequence transformer model implemented with Keras, TensorFlow, and NumPy. …”
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Attention-Based LiDAR–Camera Fusion for 3D Object Detection in Autonomous Driving by Zhibo Wang, Xiaoci Huang, Zhihao Hu

“…To address the challenges of cross-modal feature interaction in LiDAR–image fusion and the low recognition efficiency/positioning accuracy of traffic participants in dense traffic flows, this study proposes an attention-based 3D object detection network integrating point cloud and image features. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Multispectral sensors operating across various regions of the electromagnetic spectrum can detect thermal anomalies associated with lava flows, pyroclastic flows, ash plumes, and volcanic gases. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…These findings, supported by the FLOW-AF trial, underscore the usefulness of clinical outcome-based machine learning to improve the efficacy of algorithm based medical diagnostics.…”
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YOLO-Ssboat: Super-Small Ship Detection Network for Large-Scale Aerial and Remote Sensing Scenes by Yiliang Zeng, Xiuhong Wang, Jinlin Zou, Hongtao Wu

“…Experimental evaluations on the Ship_detection and Vessel datasets demonstrate that YOLO-ssboat outperforms state-of-the-art detection algorithms in both accuracy and stability. …”
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Fast Detection of Idler Supports Using Density Histograms in Belt Conveyor Inspection with a Mobile Robot by Janusz Jakubiak, Jakub Delicat

“…These results demonstrate that the algorithm enables the fast and accurate detection and localization of idler frames in real-world scenarios.…”
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A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement by Zhongmin Huangfu, Yibo Jiao, Fupeng Wei, Ge Shi, Hangcheng Dong

“…The methodology comprises three phases: the initial phase employs a geometric enhancement strategy to produce a sequence of enhanced images from the input images, utilizing the Axiom-based Grad-CAM (XGradCAM) algorithm to generate class activation maps for each image, which are subsequently amalgamated into a unified saliency map; in the subsequent phase, the information flow pathways in the subsampling of the convolutional layer are modified by a designated Hook. …”
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