Developing application software to quickly detect the adolescent’s risky behaviour to prevent teen pregnancy by Deswinda, Dini Maulinda, Iyang Maisi Fitriani

“… Objective: To develop a software application for early detection of adolescent’s risky behaviour, and promotion of safe reproductive health. …”
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Enhancing detection and monitoring of circulating tumor cells: Integrative approaches in liquid biopsy advances by Thanmayi Velpula, Viswanath Buddolla

“…Liquid biopsy offers a minimally invasive method for detecting and monitoring cancer, with key biomarkers including circulating tumor cells (CTCs), cell-free DNA (cfDNA), and extracellular vesicles (EVs). …”
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Functional Nanomaterials for Advanced Bioelectrode Interfaces: Recent Advances in Disease Detection and Metabolic Monitoring by Junlong Ma, Siyi Yang, Zhihao Yang, Ziliang He, Zhanhong Du

“…This review systematically examines the latest progress in nanomaterial-enabled interface design of bioelectrodes, with particular emphasis on performance enhancements in electrophysiological/electrochemical signal acquisition and multimodal sensing technologies. …”
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Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language by Yanfi Yanfi, Haryono Soeparno, Reina Setiawan, Widodo Budiharto

“…Despite its significance, there has not been much progress toward developing efficient systems for identifying spelling errors in Indonesian texts. …”
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Effects of tissue type and season on the detection of regulated sugarcane viruses by high throughput sequencing by Stephen Bolus, Kate Wathen-Dunn, Samuel C. Grinstead, Xiaojun Hu, Martha Malapi, Dimitre Mollov

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Damage Detection in Machining Tools Using Acoustic Emission, Signal Processing, and Feature Extraction by Lucas Pires Bernardes, Pedro Oliveira Conceição Júnior, Fabio Romano Lofrano Dotto, Alessandro Roger Rodrigues, Marcio Marques Silva

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A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods by Jin Wang, Hongyang Zhai, Yang Yang, Niuqi Xu, Hao Li, Di Fu

“…Efficiently detecting intrusions on a railway perimeter is crucial for ensuring the safety of railway transportation. …”
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YOLO-FDCL: Improved YOLOv8 for Driver Fatigue Detection in Complex Lighting Conditions by Genchao Liu, Kun Wu, Wei Lan, Yunjie Wu

“…This algorithm has made significant progress in the task of fatigue detection under complex lighting conditions. …”
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DSF-YOLO for robust multiscale traffic sign detection under adverse weather conditions by Jun Li, QinWen Deng, WenXin Gao, Bing Yang, Lan Jia, Ju Zhou, HaiBo Pu

“…Although significant progress has been made in current research, existing techniques still face challenges in recognizing traffic signs under complex weather conditions. …”
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RS-DETR: An Improved Remote Sensing Object Detection Model Based on RT-DETR by Hao Zhang, Zheng Ma, Xiang Li

“…Recently, deep-learning-based object detection has made significant progress. However, due to large variations in target scale, the predominance of small targets, and complex backgrounds in remote sensing imagery, remote sensing object detection still faces challenges, including low detection accuracy, poor real-time performance, high missed detection rates, and high false detection rates in practical applications. …”
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Dual-Stream Global Relationship Learning for Oriented Object Detection in Remote Sensing Images by Peng Sun, Yongbin Zheng, Wanying Xu, Jiansong Yang

“…Oriented object detection has attained remarkable progress in addressing the challenges associated with rotating invariant feature extraction. …”
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Emerging Biomarker Potential of Extracellular Vesicle-Enclosed MicroRNAs for Liver Fibrosis Detection by Sharmila Fagoonee, Valeria Menchise, Daniela Delli Castelli, Stefania Bruno

“…If unresolved, fibrosis may progress to cirrhosis, liver failure, or hepatocellular carcinoma. …”
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Deepfake-Driven Social Engineering: Threats, Detection Techniques, and Defensive Strategies in Corporate Environments by Kristoffer Torngaard Pedersen, Lauritz Pepke, Tobias Stærmose, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

“…This model combines definitive policy direction, organizational preparedness, targeted employee training, and advanced AI detection tools. Additionally, it incorporates effective incident response plans with continuous improvement and simulations. …”
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A Data-Driven Approach for Fatigue Detection during Running Using Pedobarographic Measurements by Zixiang Gao, Liangliang Xiang, Gusztáv Fekete, Julien S. Baker, Zhuqing Mao, Yaodong Gu

“…Background. Detecting fatigue at the early stages of a run could aid training programs in making adjustments, thereby reducing the heightened risk of injuries from overuse. …”
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Real-Time Label-Free Embolus Detection Using In Vivo Photoacoustic Flow Cytometry. by Mazen A Juratli, Yulian A Menyaev, Mustafa Sarimollaoglu, Eric R Siegel, Dmitry A Nedosekin, James Y Suen, Alexander V Melerzanov, Tareq A Juratli, Ekaterina I Galanzha, Vladimir P Zharov

“…Despite its medical significance, little progress has been made in early embolus detection, screening and control. …”
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Emerging New-Generation Semiconductor Single Crystals of Metal Halide Perovskites for Radiation Detection by Guigen Luo, Min Peng, Zhibin Yang, Chungming Paul Chu, Zhengtao Deng

“…This paper focuses on the advantages of metal halide perovskite single-crystal materials in both semiconductors-based direct conversion detection and scintillator-based indirect detection as well as the latest progress in this promising field. …”
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Semantic enhancement and change consistency network for semantic change detection in remote sensing images by Zhenghao Jiang, Biao Wang, Peng Zhang, Yanlan Wu, Zhiyuan Ye, Hui Yang

“…Semantic Change Detection (SCD) identifies binary change information and determines the ‘from-to’ types, revealing not only ‘where’ changes occurred but also ‘what’ the changes are. …”
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Impact of occupancy behavior on building energy efficiency: What’s next in detection and monitoring technologies? by Wenjie Song, John Calautit

“…This study provides a comprehensive review of recent progress in occupancy detection and monitoring technologies, highlighting how advanced methods can facilitate more accurate, occupant-driven energy management. …”
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A Comprehensive Survey of Explainable Artificial Intelligence Techniques for Malicious Insider Threat Detection by Khuloud Saeed Alketbi, Abid Mehmood

“…This oversight has limited progress in understanding how interpretability can improve both detection effectiveness and the trust of security analysts. …”
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Comparing opportunistic and population-based breast cancer screening programs in China: a systematic review and meta-analysis on 12.98 million women by Mengdan Li, Hongying Wang, Haozhe Piao, Bo Zhu

“…Interpretation: There were significant differences in the detection rates of breast cancer and early-stage breast cancer between opportunistic and population screening programs among Chinese women. …”
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