Toward an Operational System for Automatically Detecting <i>Xylella fastidiosa</i> in Olive Groves Based on Hyperspectral and Thermal Remote Sensing Data by Annarita D’Addabbo, Raffaella Matarrese, Francesco Lovergine, Alberto Refice, Antonella Belmonte, Fabio Bovenga, Antonia Gallo, Serafina Serena Amoia, Raied Abou Kubaa, Giovanni Mita, Donato Boscia

“…In this paper, we propose to answer some of these crucial questions, which are also relevant to the future task of setting up an operational system to detect <i>Xf</i> on a large scale. …”
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Deep Learning-Based Seedling Row Detection and Localization Using High-Resolution UAV Imagery for Rice Transplanter Operation Quality Evaluation by Yangfan Luo, Jiuxiang Dai, Shenye Shi, Yuanjun Xu, Wenqi Zou, Haojia Zhang, Xiaonan Yang, Zuoxi Zhao, Yuanhong Li

“…This study proposes a CAD-UNet model for detecting rice seedling rows based on low altitude orthorectified remote sensing images, and uses evaluation indicators such as straightness and parallelism of seedling rows to evaluate the operation quality of the rice transplanter. …”
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QUANTIFYING THE IMPACT OF SOCIAL AND POLITICAL INSTABILITY ON SUPPLY CHAIN OPERATIONS: A RISK ASSESSMENT FRAMEWORK by Bing Wang, Lokhman Hakim Osman, Mohd Rizal Palil, Nurul Atasha Binti Jamaludin

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Artificial Intelligence: The Strategy of Financial Risk Management by A. Kumar, A Kumar, S. Kumari, S. Kumar, N. Kumari, A. K. Behura

“…This research examines the use of artificial intelligence (AI) as a financial risk management tool. The concept is motivated by the revolutionary effects that financial technology has on business operations. …”
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An abnormal traffic detection method for chain information management system network based on convolutional neural network by Chao Liu, Chunxiang Liu, Changrong Liu

“…Chain information management system is widely used, providing convenience for the operation and management of enterprises. …”
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Lightweight Pepper Disease Detection Based on Improved YOLOv8n by Yuzhu Wu, Junjie Huang, Siji Wang, Yujian Bao, Yizhe Wang, Jia Song, Wenwu Liu

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Enhancing dragline operations supervision through computer vision: real time height measurement of dragline spoil piles dump using YOLO by Piyush Singh, V. M. S. R. Murthy, Dheeraj Kumar, Simit Raval

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IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective by Dhruv Parikh, Avaneesh Karthikeyan, V. Ravi, Merin Shibu, Riya Singh, Reka S. Sofana

“…The proposed smart gateway entrance system consists of various subsystems: face mask recognition, face shield detection, face mask detection with face shields, sanitization systems, temperature monitoring systems, and vaccine verification. …”
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Application of Improved YOLOv8 Image Model in Urban Manhole Cover Defect Management and Detection: Case Study by Yanqiong Ding, Baojiang Han, Hua Jiang, Hao Hu, Lei Xue, Jiasen Weng, Zhili Tang, Yuzhang Liu

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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

“…This review aims to present the progress and perspectives on the effective utilization of novel machine learning paradigms for three major building energy management tasks, i.e., building energy predictions, fault detection and diagnosis, and control optimizations. …”
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Successful Management of Incidentally-Detected Subclavian Stenosis During Anesthetic Preparation for Spinal Surgery: A Case Report by Alhowary A, Gharaibeh S, Aleshawi A

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Cybersecurity Challenges in PV-Hydrogen Transport Networks: Leveraging Recursive Neural Networks for Resilient Operation by Lei Yang, Saddam Aziz, Zhenyang Yu

“…However, the integration of such technologies also introduces complex cybersecurity challenges that must be meticulously managed to ensure operational integrity and system resilience. …”
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Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models by Ithiphat Opasatian, Tofael Ahamed

“…Therefore, the purpose of this research was to develop an image segmentation model for automated weed control operations in cassava plantation fields. To achieve this, image datasets were obtained from various fields to aid weed detection models in automated weed management. …”
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A systematic review of UAV and AI integration for targeted disease detection, weed management, and pest control in precision agriculture by Iftekhar Anam, Naiem Arafat, Md Sadman Hafiz, Jamin Rahman Jim, Md Mohsin Kabir, M.F. Mridha

“…However, obstacles remain in terms of data management, algorithmic complexity, and operational constraints under different environmental conditions. …”
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YOLO-RD: A Road Damage Detection Method for Effective Pavement Maintenance by Wei Wang, Xiaoru Yu, Bin Jing, Ziqi Tang, Wei Zhang, Shengyu Wang, Yao Xiao, Shu Li, Liping Yang

“…However, detecting small damage, managing complex backgrounds, and identifying irregular damage shapes remain significant challenges. …”
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Assessment and improvement of safety in the operation of building structures in individual agricultural holdings: Risk analysis, technical standards, and best practices by Maria Pilarczyk, Robert Ulewicz

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Conception and realization of a PV system provided with a sun tracker operating at dual axis by Khalil Kassmi, Rajae Gaamouche, Ali Lamkaddem, Soufian Talbi

“…This tracking  based on the use of four LDR sensors, which detect the intensity of light scattered by the sun a processing unit, from  command and control (UTCC), which manages all of the sun tracking tasks (the end detection of parcours, regulation of the power supplied by the PV panels (Command MPPT), ... ). …”
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Proposal for an Intelligent Methodology to Manage Energy in Buildings and Detect Anomalies as a Compass Towards Zero Energy Buildings (ZEB) by Irati Prol-Godoy, Roberto Santana, Francisco-Javier Rey-Martinez, Ana Picallo-Perez

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DeepSafe:Two-level deep learning approach for disaster victims detection by Amir Azizi, Panayiotis Charalambous, Yiorgos Chrysanthou

“…Conclusion: DeepSafe offers a practical tool for real-time disaster management and SAR operations, significantly improving conventional methods by reducing delays and enhancing victim detection accuracy in disaster-stricken urban areas.…”
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Anomaly Detection of Acoustic Signals in Ultra-High Voltage Converter Valves Based on the FAVAE-AS by Shuyan Pan, Mingzhu Tang, Na Li, Jiawen Zuo, Xingpeng Zhou

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