Deep Reinforcement Learning-Assisted Teaching Strategy for Industrial Robot Manipulator by János Simon, László Gogolák, József Sárosi

“…This paper introduces an innovative algorithm aimed at enhancing robot learning using dynamic trajectory modeling and time-dependent state analysis. …”
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Dynamic and Heterogeneous Identity-Based Cooperative Co-Evolution for Distributed Lot-Streaming Flowshop Scheduling Problem by Juan Wang, Guanghui Zhang, Xiaoling Li, Yanxiang Feng

“…In this research, a novel dynamic and heterogeneous identity based cooperative co-evolutionary algorithm (DHICCA) is proposed for addressing the distributed lot-streaming flowshop scheduling problem (DLSFSP) with the objective to minimize the makespan. …”
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Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks by Benoit-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos

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A Benchmark Dataset for Aircraft Detection in Optical Remote Sensing Imagery by Jianming Hu, Xiyang Zhi, Bingxian Zhang, Tianjun Shi, Qi Cui, Xiaogang Sun

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Development and use of a cognitive system model for solving problems of purposeful behavior by A. A. Solodov, V. M. Trembach

“…The process of cognition is presented in the form of evaluation by consciousness of the elements of the space of states, which is called the space of evaluations. …”
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MATHEMATICAL-CARTOGRAPHIC MODELING AND CARTOGRAPHY OP DEMOGRAPHIC SITUATION IN THE REGIONS OF EUROPE AND RUSSIA by A. I. Igonin, V. S. Tikunov

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Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

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Energy management strategies for hybrid diesel vehicles by dynamic planning embedded in real-world driving emission model by Yingzhang Wang, Li Zhang, Yang Chen, Chaokai Li, Baocheng Du, Jinlin Han

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LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network by Javier Viaña, Kyu-Ha Hwang, Zoë de Beurs, Jennifer C. Yee, Andrew Vanderburg, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Youn Kil Jung, Yoon-Hyun Ryu, In-Gu Shin, Yossi Shvartzvald, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Dong-Jin Kim, Seung-Lee Kim, Chung-Uk Lee, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge

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Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites by Z. Hoppinen, Z. Hoppinen, R. T. Palomaki, G. Brencher, D. Dunmire, D. Dunmire, E. Gagliano, A. Marziliano, J. Tarricone, J. Tarricone, H.-P. Marshall

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A Novel Expert Finding System for Community Question Answering by Nan Zhao, Jia Cheng, Nan Chen, Fei Xiong, Peng Cheng

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Separable Reversible Data Hiding in Encrypted 3D Mesh Models Based on Spatial Clustering and Multi-MSB Prediction by Y. Mao, Y. Xu

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PSYCHOLOGICAL ASPECTS OF INVOLVEMENT OF YOUNG PEOPLE IN EXTREMIST GROUPS IN THE INTERNET ENVIRONMENT by Olga V. Kruzhkova, Irina V. Vorobyeva, Darya M. Nikiforova

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Integrating IoT With Adaptive Beamforming for Enhanced Urban Sensing in Smart Cities by Sunday Enahoro, Sunday C. Ekpo, Mfonobong Uko, Fanuel Elias, Stephen Alabi

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PREDICTION OF VERTICAL IMPACTION OF LOWER WISDOM TOOTH ACCORDING ORTHOPANTOMOGRAPHY OF LOWER JAW by A.M. Hohol, A.I. Pankevych, I.A. Kolisnyk, D.S. Machulenko, Ya.A. Hohol

“…In particular, most researchers state the fact that up to 20 years of life there is a significant probability of changing the position of the teeth during their eruption and therefore it is quite appropriate to wait. …”
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Model Predictive Excitation Controller for Synchronous Condenser Coordinated With Wind Farms in Sending-End System by Lingfeng Zheng, Yongzhi Zhou, Hongda Cai, Xiaoming Liu, Donglei Sun

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FPG-AI RNN: A Technology-Agnostic Framework for the Automatic Acceleration of LSTM/GRU-Based Models on FPGAs by Tommaso Pacini, Pietro Nannipieri, Silvia Moranti, Luca Fanucci

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Design of Reinforcement Learning Guidance Law for Antitorpedo Torpedoes by Zhong Wang, Zhiwen Wen, Weitong Cui, Daming Zhou, Pei Wang

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Bayesian network structure learning by opposition-based learning by Baodan Sun, Xinyi Zhang, Junhui Jiang, Jianguang Gong, Dan Lin

“…Experimental results show that the proposed algorithm achieves better performances than other state-of-the-art structure learning algorithms when the sample size is 500. …”
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