Landuse Impact On Environment Of Tuti Island, Sudan by Ibrahim M. Ahmed, Eltoum M. Abd Alla

“…The example here shows the features of human nutrition habits and quality of life with specific study of negative impact on the environment and Earth resources.Tuti Island in Sudan was prone to this complex problem so it is taken as a case study. …”
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Dictionary Representation of Linguocultural Stereotypes: Communicative Behavior of Russians in Thematic Dictionary of Proverbs by T. G. Nikitina, E. I. Rogaleva, Lixiang Piao

“…The possibilities of solving this problem are shown with a thematic vocabulary systematization of proverbs regulating the communicative behavior of Russians. …”
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Not the presence but the timing of acoustic signals influence dogs’ behaviour toward an artificial agent by Judit Abdai, Zsófia Lévai, Zsuzsanna Gedai, Ádám Miklósi

“…Abstract Some features of communicative signals may only direct the attention of the receiver to the signaller, and others may convey specific aspects of the message. …”
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Mobile Banking in Russia: User Intention towards Adoption by Veronika Belousova, Nikolay Chichkanov

“…Nevertheless, the popularity of mobile banking applications is lower than the popularity of other banking services. Thus the problem of mobile banking adoption by customers remains an extremely important problem. …”
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Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries by Rui Wang, Wenming Cao, Zhihai He

“…In this work, we study the problem of vehicle recognition using acoustic sensor networks in real-world applications. …”
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Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies by Fatih Demir

“…For the two-class classification problem, the classification performance is 98.17%, and for the four-class classification problem, it is 97.02%.…”
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Sparse Learning of the Disease Severity Score for High-Dimensional Data by Ivan Stojkovic, Zoran Obradovic

“…In this work, we investigated the direction of the problem where the dimensionality of measured variables is large. …”
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DETERMINATION OF OIL SATURATION COEFFICIENT WHEN ASSESSING THE GEOLOGICAL OIL RESERVES OF THE MAASTRICHTIAN DEPOSITS OF THE UPPER CRETACEOUS SEDIMENTS OF THE EASTERN CISCAUCASIA by A. S. Demyanov, Y. V. Batishchev, A. A. Paporotnaya, G. A. Polosin

“…The article considers the problem of determining the oil saturation coefficient of the upper Cretaceous deposits of the Eastern Caucasus, and suggests the use of a method to increase the reliability of its determination. …”
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ENTROPY METHODS IN ANALYSIS OF BIOLOGICAL SYSTEMS by O. G. Berestneva, Ya. S. Pekker, S. S. Murzina

“…At the same time beco­ming increasingly clear that solving this problem adaptation theory plays a crucial role.Adaptive features appear only in real life. …”
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Evaluating the Effectiveness of Image Processing in the Task of Detecting Moving Objects by an Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

“…The problem considered by the authors, assessing the effectiveness of the developed image processing method in relation to the problem of detecting moving objects by an optoelectronic surveillance system, determines the need for its consideration in two directions. …”
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A Few-shot Learning Method for Intent Analysis of Air Combat Confrontation Behaviors by PAN Ming, ZHENG Jingsong, LI Jinliang, FANG Long, YANG Yang, ZHAO Shijie

“…By integrating the attention mechanism in the Bidirectional Gated Recurrent Unit (BiGRU) , the feature learning ability of the model is improved, and adaptively assign the weight of different air combat feature information. …”
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Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators by Lucía Güitta-López, Vincenzo Suriani, Jaime Boal, Álvaro J. López-López, Daniele Nardi

“…Deep Reinforcement Learning (DRL) is a powerful framework for solving complex sequential decision-making problems, particularly in robotic control. However, its practical deployment is often hindered by the substantial amount of experience required for learning, which results in high computational and time costs. …”
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Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets by Feng Zhao, Islem Rekik, Seong-Whan Lee, Jing Liu, Junying Zhang, Dinggang Shen

“…As a powerful nonlinear feature extractor, kernel principal component analysis (KPCA) has been widely adopted in many machine learning applications. …”
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Quality of Service Routing in Manet Using a Hybrid Intelligent Algorithm Inspired by Cuckoo Search by S. Rajalakshmi, R. Maguteeswaran

“…A hybrid computational intelligent algorithm is proposed by integrating the salient features of two different heuristic techniques to solve a multiconstrained Quality of Service Routing (QoSR) problem in Mobile Ad Hoc Networks (MANETs) is presented. …”
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Modern technologies in the development of higher education teachers’ professional competence by T. V. Manchenko, I. N. Guchetl

“…In vocational education this approach is the conceptual basis for the implementation of an innovation system. The problem of the research is to identify the features of the formation of professional competence of higher education teachers.   …”
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Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

“…Breaks (ruptures) and cracks is the distinguishing feature of any ice cover in the Arctic seas during the cold season and in the whole Arctic Basin throughout a year. …”
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Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning by Wenxiang Luo, Yang Shen, Zewen Li, Fangming Deng

“…In a distributed photovoltaic system, photovoltaic data are affected by heterogeneity, which leads to the problems of low adaptability and poor accuracy of photovoltaic power prediction models. …”
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Study on Spark Image Detection for Abrasive Belt Grinding via Transfer Learning with YOLOv8 by Jian Huang, Guangpeng Zhang

“…Aiming to solve the problems of low precision and poor efficiency caused by relying on manual experience during the manual polishing of blades, a multi-view spark image detection method based on YOLOv8 transfer learning is proposed. …”
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A modified algorithm of 'forward-backward' solving the identification of automata Markov models by A.R. Nurutdinova

“…The paper is devoted to solving the problem of identifying discrete stochastic processes generated on the basis of automata Markov models. …”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

“…In addition, for the human auditory feature extraction method after HPSS processing, the CIS method is compared with the widely used Mel filter bank, and shows better performance.…”
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