Signal detection of massive MIMO systems using LSTM-based signal detectors for beyond 5G radio by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…In this article, we proposed a signal detection algorithm based on a long short-term memory (LSTM) neural network known as MLD-LSTM, MMSE-LSTM, and ZFE-LSTM for MIMO frameworks (16 X 16, 256 X 256, and 512 X 512). …”
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A Transport Mode Detection Framework Based on Mobile Phone Signaling Data Combined with Bus GPS Data by Shuqi Zhong, Jiatao Chen, Ming Cai

“…The result shows that the transport mode detection accuracies of the proposed framework with the GBDT, XGBoost, and LightGBM algorithms are all higher than 94%.…”
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Grounded ridge detection and characterization along the Alaska Arctic coastline using ICESat-2 surface height retrievals by K. A. Lange, A. C. Bradley, K. Duncan, S. L. Farrell

“…We apply the University of Maryland Ridge Detection Algorithm <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx14">Duncan and Farrell</a>, <a href="#bib1.bibx14">2022</a>)</span> using ICESat-2 ATL03 elevation data to identify and calculate ridge sail heights and estimate ridge depths using empirical relationships based on first-year ice ridge geometries surveyed in the Beaufort, Chukchi, and Bering seas. …”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…The research optimizes the Speeded-Up Robust Features(SURF) detection algorithm by adjusting the Hessian matrix threshold to enhance sensitivity to low-contrast defects. …”
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Detection method on pantograph-catenary arcing of electric locomotives based on multi-frequency-band characteristics of current signals by LUO Yinbei, GE Ting, SUN Zeyong

“…Detecting pantograph-catenary arcing on trains is crucial for ensuring safety in railway operation and maintenance. …”
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A Driver Behavior Detection Model for Human-Machine Co-Driving Systems Based on an Improved Swin Transformer by Junhua Cui, Yunxing Chen, Zhao Wu, Huawei Wu, Wanghao Wu

“…However, traditional detection methods exhibit limitations in driver behavior detection, including low accuracy and slow processing efficiency. …”
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A Novel Light-Weight Machine Learning Classifier for Intrusion Detection in Controller Area Network in Smart Cars by Anila Kousar, Saeed Ahmed, Abdullah Altamimi, Zafar A. Khan

“…Additionally, the computational complexity of the proposed scheme is very low compared to the existing schemes, making it more suitable for the fast decision-making required for smart vehicles.…”
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Evaluating and implementing temporal, spatial, and spatio-temporal methods for outbreak detection in a local syndromic surveillance system. by Robert W Mathes, Ramona Lall, Alison Levin-Rector, Jessica Sell, Marc Paladini, Kevin J Konty, Don Olson, Don Weiss

“…Positive predictive value was low (<7%) for all methods. Overall, the detection methods we tested did not perform well in identifying the temporal and spatial clusters of cases in the inject dataset. …”
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A Constant False Alarm Rate Detection Method for Sonar Imagery Targets Based on Segmented Ordered Weighting by Wankai Na, Haisen Li, Jian Wang, Jiani Wen, Tianyao Xing, Yuxia Hou

“…Achieving reliable target detection in the field of sonar imagery represents a significant challenge due to the complex underwater interference patterns characterized by speckle noise, tunnel effects, and low-signal-to-noise ratio (SNR) environments. …”
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YED-Net: Yoga Exercise Dynamics Monitoring with YOLOv11-ECA-Enhanced Detection and DeepSORT Tracking by Youyu Zhou, Shu Dong, Hao Sheng, Wei Ke

“…These enhancements enable the model to achieve a high detection accuracy of 98.6% mAP@0.5 while maintaining low computational complexity (2.35 M parameters, 3.11 GFLOPs). …”
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Detection of posttraumatic pneumothorax using electrical impedance tomography-An observer-blinded study in pigs with blunt chest trauma. by Felix Girrbach, Tobias Landeck, Dominic Schneider, Stefan U Reske, Gunther Hempel, Sören Hammermüller, Udo Gottschaldt, Peter Salz, Katharina Noreikat, Sebastian N Stehr, Hermann Wrigge, Andreas W Reske

“…By programming a semi-automatized detection algorithm, we significantly improved the detection rate of PTXcc3, with a sensitivity of 73% and a specificity of 70%. …”
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Permanent Laser Scanning and 3D Time Series Analysis for Geomorphic Monitoring using Low-Cost Sensors and Open-Source Software by L. de Vugt, E. Carraro, A. Fatihi, E. Mattea, E. Myall, D. Czerwonka-Schröder, K. Anders

“…This study presents a first assessment of the performances of a low-cost permanent laser scanning (PLS) system for geomorphic monitoring applications. …”
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A Novel SERS Silent-Region Signal Amplification Strategy for Ultrasensitive Detection of Cu²⁺ by Jiabin Su, Kaixin Chen, Ping Zhou, Nan Li

“…Experimental results demonstrated this SERS sensor possesses significant merits towards the determination of Cu²⁺ in terms of high selectivity, broad linear range from 1 nM to 1 mM, and low limit of detection (0.1 nM) superior to other reported colorimetric, fluorescence, and electrochemical methods. …”
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Efficient Malaria Parasite Detection From Diverse Images of Thick Blood Smears for Cross-Regional Model Accuracy by Yuming Zhong, Ying Dan, Yin Cai, Jiamin Lin, Xiaoyao Huang, Omnia Mahmoud, Eric S. Hald, Akshay Kumar, Qiang Fang, Seedahmed S. Mahmoud

“…This integration involves image acquisition and algorithmic detection of malaria parasites in various thick blood smear (TBS) datasets sourced from different global regions, including low-quality images from Sub-Saharan Africa. …”
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A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation by Guiqian Wang, Feiniu Yuan, Hongdi Li, Zhijun Fang

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A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study by Aoyu Li, Jingwen Li, Yishan Hu, Yan Geng, Yan Qiang, Juanjuan Zhao

“…ConclusionsThe developed MCI detection framework has demonstrated exemplary performance and stability in large-scale validations. …”
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Nonharmonic Analysis-Based Detection-Performance Improvement Technique for Distance Estimation of 24 GHz Narrowband FMCW Radar by Shotaro Koyama, Tsubasa Suzuki, Junpei Tsutsumi, Taisei Matsuyama, Takumu Ikenaga, Fumiya Shinohara, Masaya Hasegawa, Shigeki Hirobayashi, Kazuo Yoshida

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Information Criteria for Signal Extraction Using Singular Spectrum Analysis: White and Red Noise by Nina Golyandina, Nikita Zvonarev

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Microscopy image fusion algorithm based on saliency analysis and adaptive m-pulse-coupled neural network in non-subsampled contourlet transform domain by Tao Yan, Fengxian Liu, Bin Chen

“…In this article, a novel microscopy image fusion algorithm based on saliency analysis and adaptive m-pulse-coupled neural network in non-subsampled contourlet transform domain is proposed, in which each original image can be decomposed into a low-frequency subband and a series of high-frequency subbands. …”
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PoI+NBU: A Feasibility study in Generating High-Resolution Adversarial Images with a Black Box Evolutional Algorithm based Attack by Enea Mancellari, Ali Osman Topal, Franck Leprévost

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