A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…A simple yet effective resource allocation model is incorporated to address the potential computational resource waste associated with dual populations, enhancing the resource utilization. …”
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Crop pangenomes by A. Yu. Pronozin, M. K. Bragina, E. A. Salina

“…The published genomes of agricultural plants proved to be a valuable tool for studing gene functions and for marker-assisted and genomic selection. …”
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Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm by S. Balamurali, M. Kathirvelu, SatheeshKumar Palanisamy, Ines Hilali Jaghdam

“…NSPL-HCS enhances essential WSN operations, including the creation of cluster, cluster head selection, data compression, data transmission, and data reconstruction. …”
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PROBLEMS OF MUNICIPAL FINANCE MANAGEMENT ON THE EXAMPLE OF THE REPUBLIC OF KARELIA by Lyubov S. Fedotkina, Nikolay V. Levkin

“…Municipal finance management is one of the main functions of local self-government and consists in the distribution of budgetary funds optimally and expediently, observing the targeted use, while increasing the revenue part of the budget. …”
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Genome-wide identification and characterization of the Brassinazole-resistant gene family and associated responses to osmotic stress in Avena sativa by Shirui Xu, Shirui Xu, Shirui Xu, Zihao Wei, Zihao Wei, Mingchuan Ma, Mingchuan Ma, Mingchuan Ma, Lijun Zhang, Lijun Zhang, Lijun Zhang, Zhang Liu, Zhang Liu, Zhang Liu, Longlong Liu, Longlong Liu, Longlong Liu, Longlong Liu

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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
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Interfacial Reaction of Sn-Ag-Cu Lead-Free Solder Alloy on Cu: A Review by Liu Mei Lee, Ahmad Azmin Mohamad

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The Development and Use of a Genre Statement for Electronic Journals in the Sciences by Jennifer Weintraub

“… Selection of web-based resources affects every division of the academic library. …”
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Circular RNA WRNIP1 activates the PI3K-AKT and ERK1/2 signaling pathways by binding to miR-129-5p/IGF2 axis and facilitates ovarian follicle development in chickens by Xiyu Zhao, Yuanhang Wei, Xinyan Li, Xinghong Yu, Zhenyu Lei, Yao Zhang, Shunshun Han, Huadong Yin, Can Cui

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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

“…At the present stage, the method of multi-parameter multi-level combination test block trial production is often used, but its production cycle is long, and the waste of human and material resources is serious. In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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Human oversight of artificial intelligence: An operations management perspective by Jesús Salgado-Criado

“…The practical categorization of oversight design dimensions identifies key factors influencing the selection of resources, methods, and tools for AI applications oversight. …”
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Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery by César Luis Moreno González, Germán A. Montoya, Carlos Lozano Garzón

“…These findings contribute to machine learning-based disaster response, offering an efficient, cost-effective framework for large-scale damage assessment and reinforcing the importance of model selection, hyperparameter tuning, and optimization functions in critical real-world applications.…”
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Economics production buffalo breeding farms in the province of Nineveh (Badush area a case stady) by Salim AL- Nuaimy, Zwaid, F. Abd, Mahasen, M, Sultan

“…Buffalo breeding are one of  the important agricultural activities of economic yield farms  and breeding Buffalo in traditional farms mainly for milk in the area of ​​Badush (study area) where the buffalo products are of great interest to citizens and represent a special place in the economic structure The research aims to analyze the economics of  production and costs of these farms in the sample of the study (58) farm for the productive season 2013, which accounted about 50% of the research community in Nineveh province through the estimation of  production and costs of the application of  principles of selection in using of elements of production and to show the impact of these elements and contribute to help farmers in using their resources with a degree of efficiency and making productive decisions based on the economic derivatives of these functions to determine the optimal production and most of the profits. …”
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A Framework for Upgrading Contaminated Urban Land and Soil by Nature-Based Solutions: Demonstration with a Swedish Case by Shaswati Chowdhury, Yevheniya Volchko, Jenny Norrman

“…To move towards a circular economy and to meet the upcoming EU soil health legislation, both contaminated land and contaminated soil should be acknowledged as fragile and valuable resources to be restored and recycled to provide essential ecosystem services to humans. …”
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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

“…To address challenges such as large-scale variations, high density of small targets, and the large number of parameters in deep learning-based target detection models, which limit their deployment on UAV platforms with fixed performance and limited computational resources, a lightweight UAV target detection algorithm, YOLO-LSM, is proposed. …”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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The influence of shot noise on the performance of phase singularity-based refractometric sensors by Maslova Valeria, Ermolaev Georgy, Andrianov Evgeny S., Arsenin Aleksey V., Volkov Valentyn S., Baranov Denis G.

“…This raises a natural question: What happens with the sensitivity and resolution of such a sensor when it operates close to a zero of the response function, where the detected signal may be greatly influenced by various noise sources? …”
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Spatial heterogeneity of forest carbon stocks in the Xiangjiang river Basin urban agglomeration: analysis and assessment based on the multiscale geographically weighted regression... by Yingfeng Kuang, Xiaolong Chen

“…This finding provides a crucial scientific basis for the management and ecological protection of forest resources in the Xiangjiang River Basin.ConclusionThis study effectively reflects the spatial relationship between forest carbon stocks and variables through the geographically weighted regression method and the selection of appropriate spatial kernel functions, enhances the estimation accuracy of the spatial distribution of large-scale forest carbon stocks, and accurately reveals the spatial distribution pattern of forest carbon stocks in the Xiangjiang River Basin. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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