Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking by Kejun Sheng, Ziyang Xing

“…We propose a data transmission technology that integrates time-sensitive networking and artificial intelligence to address the contradiction between deterministic delay and differentiated service quality assurance in deep space networks and construct a micro electromechanical system (MEMS). …”
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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

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Human Strategy Learning-Based Multi-Agent Deep Reinforcement Learning for Online Team Sports Game by Seongbeen Lee, Gyuhyuk Lee, Wongyeom Kim, Junoh Kim, Jisun Park, Kyungeun Cho

“…In 3 vs. 3 online basketball games, finite state machine (FSM)-based Game artificial intelligence (AI) has traditionally been employed. …”
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A comprehensive review of metasurface-assisted direction-of-arrival estimation by Huang Min, Li Ruichen, Zou Yijun, Zheng Bin, Qian Chao, Jin Hui, Chen Hongsheng

“…New types of artificial intelligence continue to impact traditional algorithms as well as the detection of the incoming wave direction. …”
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An Effect Study of Structural Jets on the Long Gamma-Ray Burst Formation Rate at Low Redshift by Qi Guo, Qi Tan, Benyun Shi

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Recent Developments in Heavy Metals Detection: Modified Electrodes, Pretreatment Methods, Prediction Models and Algorithms by Yujie Shi, Shijie Zhang, Hang Zhou, Yue Dong, Gang Liu, Wenshuai Ye, Renjie He, Guo Zhao

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Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

“…However, in recent years, artificial intelligence-based decision support systems have been employed to make highly accurate diagnoses. …”
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Development of Deep Learning-Based Algorithm for Extracting Abnormal Deceleration Patterns by Youngho Jun, Minha Kim, Kangjun Lee, Simon S. Woo

“…In order to solve this problem, various deep learning-based algorithms have been developed to provide driving stability by learning the driving data. Among those artificial intelligence algorithms, anomaly detection algorithms can successfully separate the deceleration data in abnormal driving situations, and the resulting refined deceleration data can be used to train the regression model to achieve better driving stability. …”
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A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles by Jie Hu, Sheng Luo

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A MultiObjective Optimization Approach for Integrated Timetabling and Vehicle Scheduling with Uncertainty by Yindong Shen, Wenliang Xie, Jingpeng Li

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Interactive Surgical Liver Phantom for Cholecystectomy Training by Schüßler Alexander, Younis Rayan, Paik Jamie, Wagner Martin, Mathis-Ullrich Franziska, Kunz Christian

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AI-assisted discovery of quantitative and formal models in social science by Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljačić

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MOOD OF THE DOCTORS: PROBLEMS, CHALLENGES AND PERSPECTIVES OF AI USE IN MEDICINE by Tudor Florin Ursuleanu, Alina Ionela Calin, Maria Paula Comanescu, Hlescu Cristian Stefan, Roxana Grigorovici, Andreea Roxana Luca, Ramona Elena Teiu, Alexandru Grigorovici

“…Aim of the study: Artificial intelligence (AI) is gaining increasing and obvious implications in medical practice. …”
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Multiple Adversarial Domains Adaptation Approach for Mitigating Adversarial Attacks Effects by Bader Rasheed, Adil Khan, Muhammad Ahmad, Manuel Mazzara, S. M. Ahsan Kazmi

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Unlocking Learning: Investigating the Replayability of Educational Games by Rose Oluwaseun Adetunji, Abejide Ade-Ibijola

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Enhancing rice seed purity recognition accuracy based on optimal feature selection by Thi-Thu-Hong Phan, Le Huu Bao Nguyen

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Query-Based Instance Segmentation with Dual Attention Transformer for Autonomous Vehicles by Aya Taourirte, Li-Hong Juang

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EMIKNet: Expanding Multiple-Instance Inverse Kinematics Network for Multiple End-Effector and Multiple Solutions by Youn-Jae Go, Jun Moon

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The Machine as an Autonomous Explanatory Agent by Dilek Yargan

“…The holy grail of Artificial Intelligence (AI) is to transform the machine into an agent that can decide, make inferences, cluster the contents, predict, recommend, and exhibit similar higher cognitive faculties. …”
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The illusion of limitlessness: Engaging Cornel du Toit’s perspective on transhumanism and being by Benson O. Igboin

“…In his article titled Artificial intelligence and the question of being, Du Toit raises pluri-significant concerns regarding the emergence of superintelligent machines, capable of human-like and even superior intelligence. …”
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