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Publication search results
found 174 matches
- 2024
- Jaqueline C. S. Carvalho, Tales C. Pimenta, Alessandra C. P. Silvério, Marcos A. Carvalho, Joao Paulo C. S. Carvalho:
A New Data Science Model With Supervised Learning and its Application on Pesticide Poisoning Diagnosis in Rural Workers. IEEE Access 12: 40871-40882 (2024) - Gabriele Rescio, Andrea Manni, Marianna Ciccarelli, Alessandra Papetti, Andrea Caroppo, Alessandro Leone:
A Deep Learning-Based Platform for Workers' Stress Detection Using Minimally Intrusive Multisensory Devices. Sensors 24(3): 947 (2024) - Ron Dorfman, Naseem Yehya, Kfir Y. Levy:
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers. CoRR abs/2402.02951 (2024) - Mani Amani, Reza Akhavian:
Ergonomic Optimization in Worker-Robot Bimanual Object Handover: Implementing REBA Using Reinforcement Learning in Virtual Reality. CoRR abs/2403.12149 (2024) - 2023
- Sa Jim Soe Moe, Bong Wan Kim, Anam Nawaz Khan, Rongxu Xu, Nguyen Anh Tuan, Kwangsoo Kim, Do-Hyeun Kim:
Collaborative Worker Safety Prediction Mechanism Using Federated Learning Assisted Edge Intelligence in Outdoor Construction Environment. IEEE Access 11: 109010-109026 (2023) - Yan Wang, Fengtao Cui, Xinping Ding, Yulong Yao, Guoming Li, Genjuan Gui, Fuhai Shen, Bing Li:
Automated identification of the preclinical stage of coal workers' pneumoconiosis from digital chest radiography using three-stage cascaded deep learning model. Biomed. Signal Process. Control. 83: 104607 (2023) - N. Asadayoobi, Sharareh Taghipour, Mohamad Y. Jaber:
Optimising stochastic task allocation and scheduling plans for mission workers subject to learning-forgetting, fatigue-recovery, and stress-recovery effects. Expert Syst. Appl. 229(Part A): 120524 (2023) - Djazia Nadjat Sekkal, Fayçal Belkaid:
A multi-objective optimization algorithm for flow shop group scheduling problem with sequence dependent setup time and worker learning. Expert Syst. Appl. 233: 120878 (2023) - Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari:
Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. Frontiers Digit. Health 5 (2023) - Mohamad Fazelnia, Ahmet Okutan, Mehdi Mirakhorli:
Supporting Artificial Intelligence/Machine Learning Security Workers Through an Adversarial Techniques, Tools, and Common Knowledge Framework. IEEE Secur. Priv. 21(1): 37-48 (2023) - Guilherme Luz Tortorella, Michel J. Anzanello, Flavio S. Fogliatto, Jiju Antony, Daniel Nascimento:
Effect of Industry 4.0 technologies adoption on the learning process of workers in a quality inspection operation. Int. J. Prod. Res. 61(22): 7592-7607 (2023) - Jianheng Tang, Feijiang Han, Kejia Fan, Wenxuan Xie, Pengzhi Yin, Zhenzhe Qu, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang:
Credit and quality intelligent learning based multi-armed bandit scheme for unknown worker selection in multimedia MCS. Inf. Sci. 647: 119444 (2023) - Steve Geoffrion, Catherine Morse, Marie-Michèle Dufour, Nicolas Bergeron, Stéphane Guay, Marc J. Lanovaz:
Screening for Psychological Distress in Healthcare Workers Using Machine Learning: A Proof of Concept. J. Medical Syst. 47(1): 120 (2023) - Youshan Liu, Jiaxin Fan, Linlin Zhao, Weiming Shen, Chunjiang Zhang:
Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels. Robotics Comput. Integr. Manuf. 84: 102605 (2023) - Mohamad Awada, Burcin Becerik-Gerber, Gale M. Lucas, Shawn C. Roll:
Predicting Office Workers' Productivity: A Machine Learning Approach Integrating Physiological, Behavioral, and Psychological Indicators. Sensors 23(21): 8694 (2023) - Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Albert Y. Zomaya:
FastSlowMo: Federated Learning With Combined Worker and Aggregator Momenta. IEEE Trans. Artif. Intell. 4(5): 1041-1050 (2023) - Huawei Huang, Yang Yang, Zigui Jiang, Zibin Zheng:
Worker-Centric Model Allocation for Federated Learning in Mobile Edge Computing. IEEE Trans. Green Commun. Netw. 7(2): 869-880 (2023) - Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry:
Online Crowd Learning Through Strategic Worker Reports. IEEE Trans. Mob. Comput. 22(9): 5406-5417 (2023) - Ryuto Kawane, Hiromasa Ijuin, Koki Karube, Masao Sugi, Tomohiro Nakada, Tetsuo Yamada:
Identification of potential improvement assembly movements using worker classification by motion capture and machine learning. IWCIA 2023: 79-84 - Abiodun Afolayan Ogunyemi, Kevin-Kasper Einsok, Karl Joonas Berkovitch, Uku Koressaar, Sten-Kristjan Prantsu, James Sunney Quaicoe, Merja Bauters:
Designing a voice-controlled dialogue system for workplace learning of routine physical workers. AfriCHI 2023: 5-11 - Namji Kim, Jisu Ahn, Jongpil Jeong:
CNN-BiLSTM Based Federated Learning for Field Worker Safety. BCD 2023: 92-97 - Sharifa Negesa, Melissa Densmore:
Self-directed digital learning for maternity health workers A Choose-Your-Own-Adventure application for empathic care. COMPASS 2023: 134-137 - Dario Staehelin, Maike Greve, Gerhard Schwabe:
Empowering Community Health Workers with Mobile Health: Learnings from two Projects on non-Communicable disease Care. ECIS 2023 - Tzu-Hsuan Yu, Wan-Ling Chang:
Incorporating Design Thinking Approach to the Mutual Learning Process: A Case Study of Participatory Design with Senior Daycare Workers. HCI (1) 2023: 352-369 - Wenliang Feng, Han Liu, Xiaogang Peng:
Federated Reinforcement Learning for Sharing Experiences Between Multiple Workers. ICMLC 2023: 440-445 - Maria Maier, J. Schulz:
Concept for the Competence Development and Learning Process of Assembly Workers. IEEM 2023: 1483-1487 - Y. Tao, Hao Hu, F. Xu, Z. Zhang, Z. Hu:
Postural Ergonomic Assessment of Construction Workers Based on Human 3D Pose Estimation and Machine Learning. IEEM 2023: 168-172 - Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor. JCSSE 2023: 270-274 - Petter Törnberg:
ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning. CoRR abs/2304.06588 (2023) - Farid Shahnavaz, Riley Tavassoli, Reza Akhavian:
Robust Activity Recognition for Adaptive Worker-Robot Interaction using Transfer Learning. CoRR abs/2308.14843 (2023)
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