Spectral monitoring technology for gas concentrations of multiple target components in oil and gas leakage detection by Zhirong ZHANG, Pengchao CHEN, Yongjun CAI, Wenyou DU, Zhonglin LI, Yuntao PENG, Pengshuai SUN, Bian WU

“…Furthermore, a multi-component gas concentration measuring sensor was developed, suitable for detecting oil and gas leaks in various scenarios. ResultsThe developed sensor system was implemented in the long-distance, safe, and stable real-time monitoring and analysis of multi-component gases and integrated temperature data. …”
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Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle by Hammad Shahab, Muhammad Iqbal, Ahmed Sohaib, Atiq ur Rehman, Amine Bermak, Kashif Munir

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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…It does most of the data analysis and decision-making. Feature Extraction (FE) is done through CAT-Swarm Optimization. …”
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Integrating the landscape scale supports SAR-based detection and assessment of the phenological development at the field level by Johannes Löw, Steven Hill, Insa Otte, Christoph Friedrich, Michael Thiel, Tobias Ullmann, Christopher Conrad

“…TSMs were generated through breakpoint analyses over different smoothing intensities for Sentinel-1 polarisation (PolSAR) and interferometric coherence (InSAR) features, capturing crop, orbit and sensor-specific responses. …”
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Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy by Junshi Huang, Runhua Zhou, Jinlong Lin, Qi Chen, Ping Liu, Shuanggen Huang, Jinhui Zhao

“…A rapid detection method for SM2 residues in duck blood based on surface-enhanced Raman spectroscopy (SERS) was proposed in this paper. …”
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Automatic Detection of Landslide Surface Cracks from UAV Images Using Improved U-Network by Hao Xu, Li Wang, Bao Shu, Qin Zhang, Xinrui Li

“…Surface cracks are key indicators of landslide deformation, crucial for early landslide identification and deformation pattern analysis. However, due to the complex terrain and landslide extent, manual surveys or traditional digital image processing often face challenges with efficiency, precision, and interference susceptibility in detecting these cracks. …”
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Distributed Denial of Service Attack Detection in Software-Defined Networks Using Decision Tree Algorithms by Ali Zaman, Salman A. Khan, Nazeeruddin Mohammad, Abdelhamied A. Ateya, Sadique Ahmad, Mohammed A. ElAffendi

“…The study finds that a decision tree constructed with a hill climbing approach, termed the greedy decision tree, iteratively adds features on the basis of model performance and provides a simpler and more effective strategy for the detection of DDoS attacks in SDNs when compared with recently proposed schemes in the literature. …”
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Methods for Detection, Extraction, Purification, and Characterization of Exopolysaccharides of Lactic Acid Bacteria—A Systematic Review by Manoj Kumar Yadav, Ji Hoon Song, Robie Vasquez, Jae Seung Lee, In Ho Kim, Dae-Kyung Kang

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Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…Based on this model, an ABD method was established using action data based on spatio-temporal block detection and motion foreground effect map features. …”
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YOLOv8n-SSDW: A Lightweight and Accurate Model for Barnyard Grass Detection in Fields by Yan Sun, Hanrui Guo, Xiaoan Chen, Mengqi Li, Bing Fang, Yingli Cao

“…Based on the baseline YOLOv8n model, a novel Separable Residual Coord Conv (SRCConv) was designed to replace the original convolution module, significantly reducing parameters while maintaining detection accuracy. The Spatio-Channel Enhanced Attention Module (SEAM) was introduced and optimized to improve sensitivity to barnyard grass edge features. …”
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Curvature-Based Change Detection in Road Segmentation: Ascending Hierarchical Clustering vs. K-Means by David Jaurès Fotsa-Mbogne, Addie Bernice Nguensie-Wakponou, Jean Michel Nlong, Marcellin Atemkeng, Maurice Tchuente

“…Our goal is to segment roads into homogeneous sub-sections that can subsequently be labeled based on the level or type of irregularity. Using an analysis of variance (ANOVA) statistical test, we demonstrate that curvature features are effective for classification, with a Fisher value of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>14.28</mn></mrow></semantics></math></inline-formula> and a <i>p</i>-value of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>9.77</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></semantics></math></inline-formula>. …”
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A seven-year retrospective study of a single center in Xinjiang：clinical features of pregnancy-related acute kidney injury by Li Su-hua, Huang Xuan, Li Meng-xuan, Chu Xue-qian, Ayi-Tudi Mire, Li Xin-sai, Jiang Xu-yan

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Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

“…Machine Learning (ML), a prominent subfield of Artificial Intelligence (AI), holds significant promise in the medical domain, particularly for early disease detection, enabling effective preventive measures and treatments. …”
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Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…A comparison with other popular models shows that YOLOv8 - CBW3 has strong generalizability, localization performance, detection ability and robustness. To verify that YOLOv8-CBW3 has strong generalizability, a comparative analysis is conducted on the VOC2007 public dataset, which shows through the data that its detection ability is still optimal, and it provides a reference solution for subsequent similar problems.…”
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The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques by Rafał J. Doniec, Natalia Piaseczna, Konrad Duraj, Szymon Sieciński, Muhammad Tausif Irshad, Ilona Karpiel, Mirella Urzeniczok, Xinyu Huang, Artur Piet, Muhammad Adeel Nisar, Marcin Grzegorzek

“…The Bagged Trees achieved the highest accuracy of 79%. The most important features to detect simulated alcohol intoxication were the blink rate and the velocity of the saccade, a rapid simultaneous movement of both eyes in the same direction. …”
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Ultrasound molecular imaging of M2 macrophages for early detection of chronic rejection in heart transplantation by Jia Xu, Cheng Deng, Tang Gao, Mengrong He, Wenpei Fu, Xin Zhang, Yin Bai, Jiani Qiu, Rui Wang, Yihan Chen, Qiaofeng Jin, Li Zhang, Qing Lv, Mingxing Xie, Wenqian Wu

“…The primary pathological features of CR encompass cardiac allograft vasculopathy and myocardial fibrosis. …”
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Immunophenotypic features of bone marrow tumor cell in Burkitt lymphoma/leukemia: B-lineage acute lymphoblastic leukemia diagnostics opportunities by I. A. Demina, T. Yu. Verzhbitskaya, S. A. Kashpor, S. A. Plyasunova, M. E. Dubrovina, L. G. Fechina, N. V. Myakova, E. V. Samochatova, A. A. Maschan, A. M. Popov

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Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…Compared to the baseline YOLOv8, Rice-SVBDete improves precision by 0.179, recall by 0.201, and mAP@.5 by 0.227, demonstrating its effectiveness in small object detection.DiscussionThese results highlight Rice-SVBDete's potential for accurately identifying small vascular bundles in complex backgrounds, providing a valuable tool for rice anatomical analysis and supporting advancements in precision agriculture and plant science research.…”
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Development of a double-antigen sandwich ELISA for rapid and accurate detection of antibodies against Capripoxvirus by Wanying Wang, Zhengwang Shi, Juncong Luo, Huancheng Liao, Lu Feng, Yuqian Zhu, Yongyu Lin, Xintai Shi, Fan Zhang, Tao Xi, Jie Chen, Hong Tian, Haixue Zheng

“…The performances of the DAgS-ELISA were highly consistent with the commercial kit in testing 150 clinical serum samples, which were very similar (kappa value = 0.759). Moreover, the analysis of antibody dynamics revealed that the results exhibited higher sensitivity in early detection of total antibodies compared with the commercial kit. …”
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Association between coronary monosodium urate deposits at DECT and high-risk coronary plaque phenotypes and other features in gout patients by Pietro G. Lacaita, Andrea S. Klauser, Julia Held, David Haschka, Gerlig Widmann, Gudrun M. Feuchtner

“…Coronary MSU-positive lesions detected on unenhanced DECT may be associated with HRP features on coronary computed tomography angiography. …”
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