RHCrackNet: Refined Hierarchical Feature Fusion and Enhancement Network for Pixel-Level Pavement Anomaly Detection by Wenjing Liu, Zhenhua Li, Ji Wang, Qingjie Lu

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Research on downhole drilling target detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…It plays a vital role in strengthening the disaster prevention and control capabilities of coal mines in China. To monitor the drilling process in real time and enhance the efficiency of target detection at underground coal mine drill sites, an improved algorithm based on Yolov8n has been proposed, which offers advantages compared with the traditional detection methods. …”
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A Turn-On Fluorescent Probe for Sensitive Detection of Cysteine in a Fully Aqueous Environment and in Living Cells by Xiaohua Ma, Guoguang Wu, Yuehua Zhao, Zibo Yuan, Yu Zhang, Ning Xia, Mengnan Yang, Lin Liu

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Application of Modern Technical Means of Chemical Reconnaissance and Control for the Detection and Identification of Explosives by V. A. Inozemcev, I. N. Efimov, A. A. Pozvonkov, А. S. Samorodov, V. N. Ponomarev, S. S. Kolbinev

“…The analysis of the capabilities of modern technical means of chemical reconnaissance and special equipment of chemical control indicates the possibility of quick detection of mined and explosive devices (EDs) by identification of the explosives included in the EDs and related technological impurities. …”
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Research and application of vibration loop triggering system for channel wave seismic detection by Hengcong WEN

“…The vibration loop triggering system includes multiple improved processes such as the vibration circuit triggering detection network, multi-sensitivity vibration switch, and quasi-synchronous triggering method. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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Do we still need a canary in the coal mine for laboratory animal facilities? A systematic review of environmental health monitoring versus soiled bedding sentinels. by Megan R LaFollette, Caroline S Clement, Kerith R Luchins, Christopher A Manuel, Patricia L Foley, Wai H Hanson, Christina Pettan-Brewer, Caroline B Winn, Joseph P Garner

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Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning by Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky, Matej Lexa

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Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection by Jacek Wodecki, Justyna Hebda-Sobkowicz, Adam Mirek, Radosław Zimroz, Agnieszka Wyłomańska

“…In order to show the feasibility of the method, it will be tested on real data originating from monitoring system used in underground mine.…”
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Geospatial Mapping and Detection of Ferrous, Iron Oxides, and Clay Minerals in District Mohmand, Pakistan by Ihtisham Khan, Kashif Khan, Muhammad Fahad Bilal, Raja Muhammad Usama

“…The results highlight the importance of developing distribution maps to support more efficient methods for mining and mineral exploration. The study contributes to a more focused and efficient assessment of mineral resources and extraction techniques in the Mohmand district and similar geological terrains, offering stakeholders a valuable tool for informed decision-making in mineral exploration and exploitation efforts.…”
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Detection and Classification of Power Quality Disturbances Based on Improved Adaptive S-Transform and Random Forest by Dongdong Yang, Shixuan Lü, Junming Wei, Lijun Zheng, Yunguang Gao

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Deep Learning-Based Anomaly Detection in Occupational Accident Data Using Fractional Dimensions by Ömer Akgüller, Larissa M. Batrancea, Mehmet Ali Balcı, Gökhan Tuna, Anca Nichita

“…This study examines the effectiveness of Convolutional Autoencoder (CAE) and Variational Autoencoder (VAE) models in detecting anomalies within occupational accident data from the Mining of Coal and Lignite (NACE05), Manufacture of Other Transport Equipment (NACE30), and Manufacture of Basic Metals (NACE24) sectors. …”
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THERMAL IMAGES PRE-PROCESSING FOR EARLY DETECTION OF BREAST CANCER: A PROGRESSIVE REVIEW by Azman Brahim Llaguno Garcia, Arturo Orellana Garcia, Vivian Estrada Senti

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Cutting-Edge Phishing Detection Using Novel Features and Hybrid Machine Learning Techniques by Jin Zhang

“…It leverages advanced association and classification information mining techniques to develop a robust and efficient detection method. …”
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Performance of Apriori Algorithm for Detecting Drug–Drug Interactions from Spontaneous Reporting Systems by Yajie He, Jianping Sun, Xianming Tan

“…Although traditional association rule mining techniques, such as the Apriori algorithm, have been applied to drug safety signal detection, their performance in DDI detection has not been systematically evaluated, especially in the Spontaneous Reporting System (SRS), which contains a large number of drugs and AEs with a complex correlation structure and unobserved latent factors. …”
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The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia by Said Umar Abdulrahim, Bantan Rashad A., Mannaa Ammar A., Taufiq Yasser

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3D Reconstruction and Deformation Detection of Rescue Shaft Based on RGB-D Camera by Hairong Gu, Bokai Liu, Lishun Sun, Mostak Ahamed, Jia Luo

“…This paper proposes a novel method for real-time 3D model reconstruction, deformation detection, and accessibility analysis of rescue shafts using an RGB-D camera. …”
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Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN) by Nabila Henisaniyya, Citra Pertiwi, Anita Desiani, Ali Amran, Muhammad Arhami

“…One commonly applied method for early detection involves classification using a data mining approach. …”
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Hence, this paper proposes a method to detect abnormal residential water and electricity usage by incorporating multi-source information. …”
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Enhancing Bottleneck Analysis in Ship Manufacturing with Knowledge Graphs and Large Language Models by Yanjun Ma, Tao Wu, Bin Zhou, Xiaoyang Liang, Jiwang Du, Jinsong Bao

“…To address these challenges, this research proposes a graph-retrieval-based bottleneck mining method for ship manufacturing, employing large language models and a knowledge graph. …”
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