Design and Exploitation of a Dual-Channel Direct Injection System by Xiang Dong, Ziyu Li, Mingxiong Ou, Weidong Jia

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Analysis of Methods for Measuring Parameters of the Radiation Pattern of Antenna Systems by A. V. Sharamet, A. N. Lysy

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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

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A Novel Approach for BMI and Nutrition Monitoring of Dairy Farm Using IoT by Safoora Siddiqa, Anum Naseem, Nafeesa Yousaf, Syed Atir Raza

“…It can also help to make livestock farming more efficient and sustainable by enabling early detection of health problems as well as optimizing feeding, and management practices. …”
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CREDIT POLICY OF A COMMERCIAL BANK IN CONDITIONS OF UNCERTAINTY OF THE ECONOMIC ENVIRONMENT by О. Kovalova, M. Iorgachova

“…The study pays attention to the use of analytical tools of the commercial bank’s credit policy as a means of managing its financial and economic security in conditions of uncertainty, which concerns constant monitoring of loan portfolio quality and timely detection of NPLs. …”
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Giant cell tumours of the tendon sheath: Clinical insights and surgical perspectives from three cases by Amrane Hemza, Boussha Toufik, Hasrouri Ilies, Mekideche Besma, Amrane Hamid, Benmayouf Nazim, Derdous Chaouki, Khernane Nacer

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Probiotic effects on ectoparasitic mite infestations in honey bees (Apis mellifera) are modulated by environmental conditions and route of administration by Andrew P. Pitek, Brendan A. Daisley, John A. Chmiel, Anna M. Chernyshova, Gurpreet Dhami, Gregor Reid, Graham J. Thompson

“…No influence of LX3 on P. larvae loads was observed in the asymptomatic colonies studied, which is likely attributable to the already low levels of pathogenic spores present and challenges associated with detection limits. In summary, this multi-site field study suggests that an LX3-infusion of standard protein patties is an effective method to control Varroa destructor infestations in commercial honey bee colonies.IMPORTANCECommercial beekeeping operations typically have a narrow profit range that depends on maintaining healthy hives throughout the season. …”
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Enhancing weld quality of novel robotic-arm arc welding: Vision-based monitoring, real-time control seam tracking by Aman Sharma, Rishabh Chaturvedi, Kamal Sharma, Saad Abrahim Binhowimal, Jayant Giri, T. Sathish

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Research progress of intelligent testing technology and evaluation methods for subgrade engineering by Guojun Cai, Hongliang Tian, Lulu Liu, Xiaoyan Liu, Songyu Liu

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Synchronous Remote Calibration for Electricity Meters: Application and Optimization by Zhiyong Zha, Hanfang Ge, Chengcheng Zou, Fei Long, Xingfeng He, Geng Wu, Chenxi Dong, Tianping Deng, Jiaxiang Xu

“…Remote calibration is an advanced methodology that leverages electricity meters, intelligent detection, and computing technologies to enhance calibration efficiency and precision significantly. …”
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Risk inventory and mitigation actions for AI in medical imaging—a qualitative study of implementing standalone AI for screening mammography by Annika Gerigoorian, Maha Kloub, Karin Dembrower, Mats Engwall, Fredrik Strand

“…This study reports on how the hospital prepared by exploring risks from an enterprise risk management perspective, i.e., applying a holistic and proactive perspective, and developed risk mitigation actions. …”
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THEORY AND PRACTICE OF ASSESSING THE LEVEL OF INSTABILITY OF THE EXTERNAL ENVIRONMENT OF THE ENTERPRISE IN A HYBRID WAR by I. Zapukhliak, A. Shegda, О. Mykytiuk, T. Onysenko, K. Petrenko

“…The obtained results are the basis for the development of scientifically sound management decisions, forecasting the behavior of the enterprise in close connection with its external environment, which will avoid crises and ensure the sustainability of their operation and development. …”
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Securing the Future of Railway Systems: A Comprehensive Cybersecurity Strategy for Critical On-Board and Track-Side Infrastructure by Nisrine Ibadah, César Benavente-Peces, Marc-Oliver Pahl

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Identification of Target Body Composition Parameters by Dual-Energy X-Ray Absorptiometry, Bioelectrical Impedance, and Ultrasonography to Detect Older Adults With Frailty and Prefr... by Beatriz Ortiz-Navarro, José Losa-Reyna, Veronica Mihaiescu-Ion, Jerónimo Garcia-Romero, Margarita Carrillo de Albornoz-Gil, Alejandro Galán-Mercant

“…The PowerFrail mobile app, combined with advanced body composition analysis, offers a practical and noninvasive method for early frailty detection in primary care settings. Integrating such technological tools can enhance the early identification and management of frailty, thereby improving health outcomes in the aging population.…”
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A Metadata Checklist and Data Formatting Guidelines to Make eDNA FAIR (Findable, Accessible, Interoperable, and Reusable) by Miwa Takahashi, Tobias Guldberg Frøslev, Joana Paupério, Bettina Thalinger, Katy Klymus, Caren C. Helbing, Cecilia Villacorta‐Rath, Katherine Silliman, Luke R. Thompson, Sean P. Jungbluth, Suk Yee Yong, Stephen Formel, Gareth Jenkins, Martin Laporte, Bruce Deagle, Sachit Rajbhandari, Thomas Stjernegaard Jeppesen, Andrew Bissett, Christopher Jerde, Erin E. Hahn, Lynn M. Schriml, Christopher Hunter, Peggy Newman, Peter Woollard, Lynsey R. Harper, Nicholas Dunn, Katrina West, Rachel Haderlé, Shaun Wilkinson, Neha Acharya‐Patel, Mark Louie D. Lopez, Guy Cochrane, Oliver Berry

“…ABSTRACT The success of environmental DNA (eDNA) approaches for species detection has revolutionized biodiversity monitoring and distribution mapping. …”
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Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders by Ju-Woong Yun, So-Won Choi, Eul-Bum Lee

“…This study aims to develop a PdM model for the Run-Out Table (ROT) equipment in hot rolling mills of steel plants, utilizing artificial intelligence (AI) technology, and to propose methods for contributing to energy efficiency through this model. Considering the operational data characteristics of the ROT equipment, an autoencoder (AE), capable of detecting anomalies using only normal data, was selected as the base model. …”
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Artificial intelligence for microgrids design, control, and maintenance: A comprehensive review and prospects by Mojtaba Hadi, Elhoussin Elbouchikhi, Zhibin Zhou, Abdelhakim Saim, Miadreza Shafie-khah, Pierluigi Siano, Hesam Rahbarimagham, Pau Marti Colom

“…As the deployment of microgrids continues to grow, there is a pressing need to develop advanced control and management strategies to overcome the challenges associated with their integration and operation. …”
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Multi-Agent Deep Reinforcement Learning for Integrated Demand Forecasting and Inventory Optimization in Sensor-Enabled Retail Supply Chains by Yongbin Yang, Mengdie Wang, Jiyuan Wang, Pan Li, Mengjie Zhou

“…Our work provides new insights into leveraging deep reinforcement learning for integrated retail operations optimization and offers a scalable solution for modern sensor-enabled supply chain challenges.…”
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District Information Areas: A Distributed Decision-Making Approach for Urban Water Systems by Manuel Herrera, Carlo Giudicianni, Enrico Creaco

“…DMAs use physical segmentation with measurement devices mainly for leak detection, while DIAs employ smart sensors and data analytics for decentralised management. …”
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Determination of the reasons for the rupture of links in the product “round flat‑link chain” after mechanical tests for fatigue strength at the consumer by I. A. Kovaleva, N. A. Hodosovskaya, I. A. Guzova

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