GPC-YOLO: An Improved Lightweight YOLOv8n Network for the Detection of Tomato Maturity in Unstructured Natural Environments by Yaolin Dong, Jinwei Qiao, Na Liu, Yunze He, Shuzan Li, Xucai Hu, Chengyan Yu, Chengyu Zhang

“…Effective fruit identification and maturity detection are important for harvesting and managing tomatoes. …”
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Invisible Manipulation: Deep Reinforcement Learning-Enhanced Stealthy Attacks on Battery Energy Management Systems by Qi Xiao, Lidong Song, Jong Ha Woo, Rongxing Hu, Bei Xu, Kai Ye, Ning Lu

“…By subtly altering critical measurements ahead of a target period, the attacker covertly steers system operations toward a specific failure state, evading detection while enabling repeated attacks over time. …”
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Analysing Fire Propagation Models: A Case Study on FARSITE for Prolonged Wildfires by Leonardo Martins, Rui Valente de Almeida, António Maia, Pedro Vieira

“…Our findings reveal key insights into a prolonged wildfire scenarios potentially informing improvements in operational fire management and long-term predictive accuracy, as the area comparisons indexes showed reasonable results between the detected fires from the fire information for resource management systems (FIRMSs) in the first 24 h of the fire and the following days. …”
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Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…To improve the operational efficiency of complex data quality management algorithms in large-scale data scenarios, corresponding parallelization algorithms are studied and implemented for detection and repair algorithms with long computation time, including priority-based multiconditional function-dependent detection and repair algorithms, entity detection, and extraction algorithms based on semantic information and chunking techniques, and plain Bayesian-based missing value filling algorithms, and this paper proposes a data validity evaluation algorithm and enhances the validity of the original data in practical applications by adding temporal weights, and finally it passed the experimental validation. …”
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A Multisensor Data Fusion Based Anomaly Detection (Ammonia Nitrogen) Approach for Ensuring Green Coastal Environment by Chong Qu, Zhiguo Zhou, Zhiwen Liu, Shuli Jia, Liyong Ma, Mary Immaculate Sheela L

“…Coastal environmental monitoring is the basis and technical guarantee for coastal environmental protection supervision and management. It is one of the important tasks to detect and timely discover coastal seawater anomalies. …”
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A simple and user-friendly machine learning model to detect osteoporosis in health examination populations in Southern Taiwan by Wei-Chin Huang, I-Shu Chen, Hsien-Chung Yu, Chi-Shen Chen, Fu-Zong Wu, Chiao-Lin Hsu, Pin-Chieh Wu

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Design and Validation of an Edge-AI Fire Safety System with SmartThings Integration for Accelerated Detection and Targeted Suppression by Seung-Jun Lee, Hong-Sik Yun, Yang-Bae Sim, Sang-Hoon Lee

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Comparative evaluation of voltage conversion and encoder pulse detection methods for controlling a model high-bay warehouse by Anas Abu Al-Hija’a, B. J. Szekeres, M. Andó

“…Abstract This study evaluates five control methods for the Fischertechnik Training Factory Industry 4.0–24 V system, focusing on accuracy, efficiency, and performance in managing voltage differences and encoder pulse detection. …”
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Detection and Early Warning of <i>Duponchelia fovealis</i> Zeller (Lepidoptera: Crambidae) Using an Automatic Monitoring System by Edgar Rodríguez-Vázquez, Agustín Hernández-Juárez, Audberto Reyes-Rosas, Carlos Patricio Illescas-Riquelme, Francisco Marcelo Lara-Viveros

“…These techniques can lead to poor data quality and hinder effective pest management decisions due to operational and economic limitations. …”
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Detection of Veterinary Drugs in Food Using a Portable Mass Spectrometer Coupled with Solid-Phase Microextraction Arrow by Hangzhen Lan, Xueying Li, Zhen Wu, Daodong Pan, Ning Gan, Luhong Wen

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Event driven neural network on a mixed signal neuromorphic processor for EEG based epileptic seizure detection by Jim Bartels, Olympia Gallou, Hiroyuki Ito, Matthew Cook, Johannes Sarnthein, Giacomo Indiveri, Saptarshi Ghosh

“…However, developing wearable systems that are able to monitor, analyze, and detect epileptic seizures with long-lasting operation times using current technologies is still an open challenge. …”
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Rapid Resistance Detection of <i>Amaranthus retroflexus</i> to Fomesafen via Kompetitive Allele-Specific PCR (KASP) by Zhanzhan Zhang, Yaxin Ban, Jianguo Wei, Qun Wu, Liyao Dong, Zhike Feng

“…Fomesafen resistance of <i>A. retroflexus</i> is emerging in Northeast China, and rapid resistance detection is urgent for managing these resistant weeds. …”
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From Structure to Sensing: Molecular Mechanistic Insights into Plant-Derived Carbon Dots for Heavy Metal Ion Detection by Himanshi Soni, Vicky Jain, Suhas Ballal, Indang Ariati Ariffin, Mamata Chahar, Suman Saini, Monika Bhattu, Harbinder Singh, Mikhael Bechelany, Jagpreet Singh

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DETECTION AND CLASSIFICATION OF VEGETATION AREAS FROM RED AND NEAR INFRARED BANDS OF LANDSAT-8 OPTICAL SATELLITE IMAGE by Anusha NALLAPAREDDY

“… Detection and classification of vegetation is a crucial technical task in the management of natural resources since vegetation serves as a foundation for all living things and has a significant impact on climate change such as impacting terrestrial carbon dioxide (CO2). …”
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Molecular detection tool for prompt, reliable and precise diagnosis of the rice weevil, Sitophilus oryzae (Linnaeus) infestation in wheat by Kanika Nagpal, Kanika Nagpal, Poonam Jasrotia, Maha Singh Jaglan, Prem Lal Kashyap, Sunny Maanju, Sudheer Kumar

“…Rapid and accurate identification of infestations is essential for implementing timely pest management strategies and adhering to phytosanitary regulations. …”
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Novel Spatio-Temporal Joint Learning-Based Intelligent Hollowing Detection in Dams for Low-Data Infrared Images by Lili Zhang, Zihan Jin, Yibo Wang, Ziyi Wang, Zeyu Duan, Taoran Qi, Rui Shi

“…Concrete dams are prone to various hidden dangers after long-term operation and may lead to significant risk if failed to be detected in time. …”
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Comparative Analysis of RT-PCR and a Colloidal Gold Immunochromatographic Assay for SARS-CoV-2 Detection by Hui Li, Dakai Liu, Qiang Zhou, George D. Rodriguez, Harlan Pietz, Vishnu Singh, Eric Konadu, Keither K. James, Calvin Lui, Mingyu Shao, Junyu Chen, Andrew Schreiner, Carl Urban, James Truong, Nishant Prasad, William Harry Rodgers

“…<b>Background/Objectives:</b> The COVID-19 pandemic has highlighted the urgent need for rapid, accurate, and accessible diagnostic testing to effectively manage and contain the spread of SARS-CoV-2. RT-PCR is widely recognized as the gold standard for SARS-CoV-2 detection due to its high sensitivity and specificity. …”
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THE ROLE OF FINTECH IN TRANSFORMING RISK MANAGEMENT AND FINANCIAL SERVICES: A SYSTEMATIC REVIEW AND META-ANALYSIS by Діала Ершаїд

“… Integrating artificial intelligence and blockchain in financial services has transformed risk management, enabling advanced fraud detection, compliance, and predictive analytics. …”
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Applications of artificial intelligence in hospital quality management: a review of digital strategies in healthcare settings by Rosa Elgiba García-García

“… This study analyzes the application of artificial intelligence (AI) in improving hospital quality management through a systematic review of 31 scientific articles indexed in Scopus. …”
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A Computational Intelligence-Based Proposal for Cybersecurity and Health Management with Continuous Learning in Chemical Processes by Adrián Rodríguez Ramos, Pedro Juan Rivera Torres, Orestes Llanes-Santiago

“…Ensuring cybersecurity and health management is a fundamental requirement in modern chemical industry plants operating under the Industry 4.0 framework. …”
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