Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach by David Carrascal, Paula Bartolomé, Elisa Rojas, Diego Lopez-Pajares, Nicolas Manso, Javier Diaz-Fuentes

“…Smart grids (SGs) are essential for the efficient and distributed management of electrical distribution networks. …”
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Automatic construction and verification algorithm for smart contracts based on formal verification by Rui Xie, Xuejiao Zhong, Xin Chen, Shaohui Xu, Haiyang Yu, Xinyuan Guo

“…Finally, a probability model detection method is used to verify the constructed smart contract model. …”
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Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning by Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar

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A Review of Three-Dimensional Electric Field Sensors by Xiaonan Li, Yu Gu, Zehao Li, Zijian He, Pengfei Yang, Chunrong Peng

“…They can be widely used in atmospheric science, smart grids, aerospace, target detection, and other fields. …”
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Indoor Location Based VOD Service Using Smart Phone Sensors by Jaegeol Yim, Young-Ho Park

“…We use a dead-reckoning indoor positioning method that determines user's location using smart phone sensors. …”
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Research ethics committees as knowledge gatekeepers: The impact of emerging technologies on social science research by Anu Masso, Jevgenia Gerassimenko, Tayfun Kasapoglu, Mai Beilmann

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Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model by Hui Zeng, Jinwei Zhu, Hanxi Lin, Junming Chen

“…In response to the challenge of accurately assessing age-friendly design requirements during the improvement phase of smart products, a novel evaluation model is proposed. …”
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Smart adaptive learning and optimized feature clustering for enhanced image retrieval by P. Umaeswari, Sujata Patil, Parameshachari Bidare Divakarachari, Przemysław Falkowski-Gilski

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Smart Agriculture: Predicting Diseases in olive using Deep Learning Algorithms by Rahman F., Raghatate Kapesh Subhash

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Emotion Perception and Service Optimization in ChatGPT-Driven Smart Libraries by ZHANG Mingjie, ZHAO Ruixue

“…[Method/Process] This study reviews relevant literature from both domestic and international sources, systematically analyzing the mainstream research methods and technological trends in the field of smart libraries. …”
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Instructional design of smart technology use in teacher digital educational environment by G. B. Sarzhanova, R. S. Bobesh, G. Zh. Smagulova, A. Turkel, N. B. Serikbayeva

“…The present study aims to substantiate the instructional design of the implementation model of smart technologies when designing teacher personal digital educational environment (on the example of the authors’ Smart Assistant software as a means of optimising teacher activities and organising an online and mixed educational process).Methodology and research methods. …”
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Finite Element Dynamic Modeling of Smart Structures and Adaptive Backstepping Control by Zhipeng Xie, Dachang Zhu, Zhenzhang Liu, Yun Long, Fangyi Li

“…Uncertainties, such as material nonlinearity, hysteresis in elastic deformation, and external disturbances, affect the trajectory tracking accuracy of the smart structure’s actuation function. This paper proposes a modeling method that combines finite element unit bodies and orthogonal characteristic mode reduction to construct an accurate dynamic model of the smart structure and design an adaptive backstepping controller. …”
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Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

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Research of Smart Car’s Speed Control Based on the Internal Model Control by Han Yu, Hamid Reza Karimi, Xuemei Zhu

“…Regarding this subject, the internal control theory is introduced to verify the control performance; the traditional PID control method is employed in the experiment. The experiment indicates that the proposed method based on internal model control is easier to determine parameter and has a well robust and good control result of smart car’s speed.…”
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Improving Orbit Prediction of the Two-Line Element with Orbit Determination Using a Hybrid Algorithm of the Simplex Method and Genetic Algorithm by Jinghong Liu, Chenyun Wu, Wanting Long, Bo Yuan, Zhengyuan Zhang, Jizhang Sang

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Human motion state recognition based on smart phone built-in sensor by Xiaoling YIN, Xiaojiang CHEN, Qishou XIA, Juan HE, Pengyan ZHANG, Feng CHEN

“…To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.…”
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Human motion state recognition based on smart phone built-in sensor by Xiaoling YIN, Xiaojiang CHEN, Qishou XIA, Juan HE, Pengyan ZHANG, Feng CHEN

“…To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.…”
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Measuring the Effective Factors in the Non-Development of the Sustainable Smart City of Tabriz by Ali Zeynali Azim, Mehri Fadaei Haghi, Amin Alizadeh, Mohammad Jodeiri Abbasi, Reza Fathipour, Mohammadali Sharifi

“…The purpose of this research is to measure the factors affecting the non-development of a sustainable smart city in Tabriz. Material and Methods: The research method is descriptive-exploratory. …”
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Power and Frequency Control of Active Generator used for Smart Grid Applications by Ehsan Limouchi, Seyed Abbas Taher, Babak Ganji

“…The aim of the present work is to perform active, reactive power distribution strategies (control) for active generators used in smart grids. The proposed control method is the sliding mode which controls the active as well as reactive power and frequency. …”
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Smart Machine Vision System to Improve Decision-Making on the Assembly Line by Carlos Americo de Souza Silva, Edson Pacheco Paladini

“…This approach reduced the action priority by improving the failure mode and effect analysis (FMEA) method.…”
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