Digital technology and artificial intelligence issues in scientific works by A. N. Timokhovich, E. G. Samokhodkina, E. V. Samokhodkin, A. A. Elzon

“…The main semantic units, reflecting different aspects of the research field are digitalization; artificial intelligence (additional semantic units: knowledge representation, theorem proving, computer vision, robotics, machine learning, multi-agent systems, artificial intelligence tools); neural networks (additional semantic units: learning with a teacher, learning without a teacher, input data); strong or general artificial intelligence, weak or applied artificial intelligence; Marusya voice assistant, Alisa voice assistant, Siri voice assistant, Bixby voice assistant, Google Assistant; speech recognition, fingerprint recognition, human face identification. …”
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Feature fusion-based collaborative learning for knowledge distillation by Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

“…Deep neural networks have achieved a great success in a variety of applications, such as self-driving cars and intelligent robotics. Meanwhile, knowledge distillation has received increasing attention as an effective model compression technique for training very efficient deep models. …”
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Development and Performance Verification of a Motorized Prosthetic Leg for Stair Walking by Kiwon Park, Hyoung-Jong Ahn, Kwang-Hee Lee, Chul-Hee Lee

“…Furthermore, this research can be applied to the area of biped robots that try to mimic human motion.…”
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Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Wireless Sensor Networks (WSNs) have a wide range of applications scenarios in computer vision, from pedestrian detection to robotic visual navigation. In response to the growing visual data services in WSNs, we propose a proactive caching strategy based on Stacked Sparse Autoencoder (SSAE) to predict content popularity (PCDS2AW). …”
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Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU by Fath U Min Ullah, Amin Ullah, Noman Khan, Mi Young Lee, Seungmin Rho, Sung Wook Baik

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Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue by Satoshi Suzuki, Asato Yoshinari, Kunihiko Kuronuma

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A Comparative Study of Three Resolving Parameters of Graphs by Hafiz Muhammad Ikhlaq, Hafiz Muhammad Afzal Siddiqui, Muhammad Imran

“…It is used to monitor the movement of robots on a network, to debug computer networks, to develop algorithms, and to analyze the structural properties of chemical structures, among other things. …”
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Unilateral Laryngeal Pacing System and Its Functional Evaluation by Taiping Zeng, Zhiping Zhang, Weiwei Peng, Fei Zhang, Baker Y. Shi, Fangyi Chen

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An Optimal Control of Energy Storage Systems Using Wind Power Prediction by Kenta Koiwa, Tomonori Tashiro, Tomoya Ishii, Tadanao Zanma, Kang-Zhi Liu

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Enhancing augmented reality with machine learning for hands-on origami training by Mikołaj Łysakowski, Jakub Gapsa, Chenxu Lyu, Thomas Bohné, Sławomir Konrad Tadeja, Piotr Skrzypczyński, Piotr Skrzypczyński

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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

“…A key step in the humanization of robotics is the ability to classify the emotion of the human operator. …”
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Engineering Activity in the Context of Humanitarian Thinking by V. S. Sheinbaum

“…In the article, for the first time, this task is projected on the formation of students’ engineering thinking of a humanitarian orientation, which is necessary to ensure their effectiveness in the labor market in especially cardinal changes in technology and the organization of engineering activities, used with an exponentially growing scale of the use of artificial intelligence and robotics in it. The idea is being developed that engineering thinking is inherently inseparable from the humanitarian one, which sets its direction, and the idea put forward by P.G. …”
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Investigation of foot biomechanics in youth basketball players by Hamza Sinen, Berkay Üzümcü, Yusuf Yaşasın, Görkem Açar, Sinan Seyhan

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MR Neurography: Advances by Avneesh Chhabra, Lianxin Zhao, John A. Carrino, Eo Trueblood, Saso Koceski, Filip Shteriev, Lionel Lenkinski, Christopher D. J. Sinclair, Gustav Andreisek

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Low-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography by Chun-Chi Chen, Song-Xian Lin, Hyundoo Jeong

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“TRANSHUMANIZATION” OF MODERN EDUCATION by G. L. ILYIN

“…One of the risks and threats of the technology growth is creation of the community of humanoid robots and “service people”. Information society changes radically the conditions of learning and teaching owing to multiple sources of information and communication facilities. …”
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Effect of Model Parameters on the Biomechanical Behavior of the Finite Element Cervical Spine Model by Suzan Cansel Dogru, Yunus Ziya Arslan

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University proceedings. Volga region. Social sciences by V.G. Romanovskiy

“…The article formulates general conclusions about the continued trend of expanding digital crime, the emergence of new subjects of criminal law (Artificial intelligence, an-thropoid robots), the development of digital criminology, and the transformation of the principles of criminal law. …”

Comparative Study of Agricultural Wastes Utilization in Cementitious Composites by Marcin Małek, Piotr Smarzewski, Mateusz Jackowski, Waldemar Łasica, Janusz Kluczyński

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An Artificial Intelligence Mechanism for the Prediction of Signal Strength in Drones to IoT Devices in Smart Cities by Mohamad Reda A. Refaai, Vinjamuri S. N. C. H. Dattu, H. S. Niranjana Murthy, P. Pramod Kumar, B. Kannadasan, Abdi Diriba

“…In addition to interacting with one another, drones must maintain touch with some other ground-based entities, including IoT sensors, robotics, and people. Throughout this study, an intelligent approach for predicting the signal power from a drone to IoT applications in smart cities is presented in terms of maintaining internet connectivity, offering the necessary quality of service (QoS), and determining the drone’s transmission range offered. …”
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