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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Industry 4.0 and healthcare: Context, applications, benefits and challenges by Konstantinos Kotzias, Faiza A. Bukhsh, Jeewanie Jayasinghe Arachchige, Maya Daneva, Abhishta Abhishta

“…Next, our results show: (i) nine applications of Industry 4.0 in the Healthcare domain: Augmented Reality and Simulation, Autonomous Robotics, Cybersecurity, Big Data Analytics, Internet of Things, Cloud Computing, Additive Manufacturing and Systems Integration; and (ii) 10 benefits and nine challenges in Healthcare 4.0. …”
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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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Swarm navigation of cyborg-insects in unknown obstructed soft terrain by Yang Bai, Phuoc Thanh Tran Ngoc, Huu Duoc Nguyen, Duc Long Le, Quang Huy Ha, Kazuki Kai, Yu Xiang See To, Yaosheng Deng, Jie Song, Naoki Wakamiya, Hirotaka Sato, Masaki Ogura

“…Abstract Cyborg insects refer to hybrid robots that integrate living insects with miniature electronic controllers to enable robotic-like programmable control. …”
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Bioprinting and Intellectual Property: Challenges, Opportunities, and the Road Ahead by Antreas Kantaros, Theodore Ganetsos, Florian Ion Tiberiu Petrescu, Elli Alysandratou

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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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Bio‐Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics by Elvis K. Boahen, Hyukmin Kweon, Hayoung Oh, Ji Hong Kim, Hayoung Lim, Do Hwan Kim

“…Abstract Inspired by the extensive signal processing capabilities of the human nervous system, neuromorphic artificial sensory systems have emerged as a pivotal technology in advancing brain‐like computing for applications in humanoid robotics, prosthetics, and wearable technologies. These systems mimic the functionalities of the central and peripheral nervous systems through the integration of sensory synaptic devices and neural network algorithms, enabling external stimuli to be converted into actionable electrical signals. …”
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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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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

“…Abstract Achieving accurate and generalized autonomous navigation in unknown environments poses a significant challenge in robotics and artificial intelligence. Animals exhibits superlative navigation capabilities by combining the representation of internal neurals and sensory cues of self-motion and external information. …”
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Research of Simulation in Character Animation Based on Physics Engine by Yang Yu, Jucheng Yang, Xiaofei Zan, Jiangang Huang, Xiangbo Zhang

“…Computer 3D character animation essentially is a product, which is combined with computer graphics and robotics, physics, mathematics, and the arts. It is based on computer hardware and graphics algorithms and related sciences rapidly developed new technologies. …”
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Exploring the Links Between Employee Resilience and Career Satisfaction: The Roles of Job Crafting and STARA Awareness by Dilek Yılmaz Börekçi, Cem Güney Özveren, Merve Gerçek

“…Also, this study examines whether smart technology, artificial intelligence, robotics, and algorithms (STARA) awareness moderates the relationship between those variables. …”
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An Exploratory Study of Intensive Neurofeedback Training for Schizophrenia by Wenya Nan, Feng Wan, Lanshin Chang, Sio Hang Pun, Mang I. Vai, Agostinho Rosa

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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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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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Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes by Baofeng Ye, Renzheng Xue

“…To ensure that semantic segmentation has practical application value in autonomous driving and robotics, it must achieve corresponding real-time inference speeds. …”
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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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Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics by Shanhai Jin, Ryo Kikuuwe, Motoji Yamamoto

“…This paper presents the results of quantitative performance evaluation of an authors’ new parabolic sliding mode filter, which is for removing noise from signals in robotics and mechatronics applications, based on the frequency and time domain characteristics. …”
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Understanding collective behavior in biological systems through potential field mechanisms by Junqiao Zhang, Qiang Qu, Xuebo Chen

“…This framework enhances our understanding of collective behavior and has implications for bio-robotics, distributed systems, and complex networks.…”
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