Pig behavior recognition and disease warning based on compressed sensing and long-short term memory network by Ren Wang, Mingdong Zhao

“…In order to solve the problems of low precision and poor stability in pig behavior recognition process due to the deficiency of environment and hardware conditions such as complex lighting conditions, close color of target and background, poor camera Angle and parameters, a compressed sensing recognition algorithm via long and short term memory network for optimized feature extraction is proposed in this paper. …”
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Mobile Tunnel Lining Measurable Image Scanning Assisted by Collimated Lasers by Xueqin Wu, Jian Ma, Jianfeng Wang, Hongxun Song, Jiyang Xu

“…Existing tunnel lining mobile scanning methods often fail in image stitching due to the lack of corresponding feature points in the lining images, or require complex, time-consuming algorithms to eliminate stitching seams caused by the same issue. …”
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Managerial Excellence as the Basis for the Success in the Digital Transformation of Public Services by E. V. Vasil’eva

“…The paper provides the formation of a strategy for managing public service personnel based on the principles of a management staff diversity and employees involvement to solve problems of increasing the level of personnel potential. …”
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Optimizing of Universal DEA Model with Multi-Level Integration under Neutrosophic Environment by Hamiden Abd El- Wahed Khalifa, Loay Alkhalifa, Sultan S. Alodhaibi, Basma E. El- Demerdash

“…This research introduces a comprehensive Universal Data Envelopment Analysis (DEA) model to handle real-world problems fraught with uncertainty of every operational facet. …”
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Analysis of scientific approaches to considering the potential of cinema therapy in working with children with mental disabilities. Part 2. Integrated sociological analysis of the... by Dmitry Vyacheslavovich Bosov, Ruslan Yuryevich Dolya

“…Wooder’s scientific concepts (getting rid of emotional problems through the use of specially selected feature films realized in specific film genres) and A. …”
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Topology and fiber path optimization of composite structures: A critical review by Shuya Nozawa, Gokhan Serhat

“…The review concludes with remarks on relevant open problems and potential future research directions.…”
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Underwater acoustic channel estimation method based on response generative network by XU Ming, ZHANG Qi

“…The convergence process of the objective function was decomposed into several sub-problems to improve the model’s convergence speed and reduce errors. …”
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Comparative Analysis of a Quantum SVM With an Optimized Kernel Versus Classical SVMs by Matheus Cammarosano Hidalgo

“…This paper investigates an optimized quantum embedding kernel for SVM (Quantum SVM - QSVM) applied to a public bank customer dataset, featuring variables on customer relationships and churn indicators. …”
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Cactus Bug, Chelinidea vittiger aequoris McAtee (Insecta: Hemiptera: Coreidae) by Frank W. Mead, J. R. Herring

“…In most areas of North America prickly pears are not a problem because a complex of insects keeps them under control. …”
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Ensuring economic security at the regional level as a state influence direction by V.V. Ivaniuta

“…As a result of the analysis of the main problems of ensuring the economic security of the country, the essence of the economic security of the regions was identified as one of the components of ensuring national security at the present stage of social development. …”

Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis by Kunju Shi, Shulin Liu, Hongli Zhang, Bo Wang

“…First of all, KLLD is a supervised dimension reduction method that can overcome the out-of-sample problems. Secondly, short-circuit problem can be avoided. …”
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Student behavior patterns in vocational education big data based on clustering algorithm by Jing Jin

“…Abstract In vocational education, big data analysis of student behaviour has problems such as single data dimension, failure to effectively identify differences between student groups, and overly simple data analysis methods. …”
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METHODOLOGY AND RESULTS OF THE MAIN TECHNICAL OF PARAMETERS OF THE MANEUVERABLE UNMANNED AERIAL VEHICLE JUSTIFICATION by M. A. Kiselev

“…The recent experience of creating an unmanned combat aerial vehicle indicates that the main problems do not concern the development of an unmanned fighter as an aerial vehicle. …”
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Optimization Strategies for Electric Vehicles: A Review of Evolutionary, Swarm, and Hybrid Algorithms by Kumar A. Vijay, Manohar V. Joshi

“…These challenges frequently feature non-linear relationships that traditional optimization techniques find difficult to handle effectively. …”
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The Heat Equation Solution Near the Interface Between Two Media by Natalia T. Levashova, Olga A. Nikolaeva

“…A function  with this feature  can be a solution to the problem for the heat equation  with a discontinuous thermal diffusivity and discontinuous function  describing  heat  sources.  …”
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Cactus Bug, Chelinidea vittiger aequoris McAtee (Insecta: Hemiptera: Coreidae) by Frank W. Mead, J. R. Herring

“…In most areas of North America prickly pears are not a problem because a complex of insects keeps them under control. …”
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MSA K-BERT: A Method for Medical Text Intent Classification by Yujia Yuan, Guan Xi

“…However, existing methods suffer from problems such as low accuracy and a lack of knowledge supplementation. …”
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ENVIRONMENTAL SAFETY INDEX: THE CONCEPT AND EVALUATION by G. Kharlamova, V. But'kovsky

“…The paper summarizes the theoretical aspects of ecological safety of Ukraine and its components, contains the analysis of environmental safety indexes compiled by international organizations, including the Commission on Sustainable Development UN, the International Institute for Sustainable Development (IISD), the Scientific Committee on Problems of the Environment (SCOPE), Yale University. …”
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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

“…., model parameters, parameter gradients, embedding representation, etc.） applied to data distributed across various institutions.FL reduces the risk of privacy leakage, since raw data is not allowed to leave the institution.According to the difference in data distribution between institutions, FL is usually divided into horizontal federated learning （HFL）, vertical federated learning （VFL）, and federal transfer learning （TFL）.VFL is suitable for scenarios where institutions have the same sample space but different feature spaces and is widely used in fields such as medical diagnosis, financial and security of VFL.Although VFL performs well in real-world applications, it still faces many privacy and security challenges.To the best of our knowledge, no comprehensive survey has been conducted on privacy and security methods.The existing VFL was analyzed from four perspectives: the basic framework, communication mechanism, alignment mechanism, and label processing mechanism.Then the privacy and security risks faced by VFL and the related defense methods were introduced and analyzed.Additionally, the common data sets and indicators suitable for VFL and platform framework were presented.Considering the existing challenges and problems, the future direction and development trend of VFL were outlined, to provide a reference for the theoretical research of building an efficient, robust and safe VFL.…”
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Identifying Persons of Interest in Digital Forensics Using NLP-Based AI by Jonathan Adkins, Ali Al Bataineh, Majd Khalaf

“…Natural Language Processing (NLP) is a subdomain of research under AI that deals with problems involving unstructured data, specifically language. …”
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