Zobrazeno 1 - 10
of 891
pro vyhledávání: '"WANG TianYang"'
Publikováno v:
Meikuang Anquan, Vol 54, Iss 1, Pp 9-15 (2023)
To study the effect of oxygen volume fraction on the explosion characteristics of silo coal, an experiment was conducted on the explosion parameters(maximum pressure pmax, maximum pressure rise rate (dp/dt)max , and explosion index Kst ) of mixed coa
Externí odkaz:
https://doaj.org/article/c15c2acdff4e414bb69b0381b52bc8c8
Publikováno v:
Jixie chuandong, Vol 46, Pp 142-148 (2022)
Cylindrical spur gear pair is a commonly used key transmission part in the modern machinery industry. Root cracks often occur due to the periodic load and fatigue wear of the tooth surface. As a result, the vibration and noise of the gear pair are in
Externí odkaz:
https://doaj.org/article/6ea6b5c38c8e4c7ebb38ba7ec51a7e77
Active learning (AL) is for optimizing the selection of unlabeled data for annotation (labeling), aiming to enhance model performance while minimizing labeling effort. The key question in AL is which unlabeled data should be selected for annotation.
Externí odkaz:
http://arxiv.org/abs/2410.15605
Autor:
Ren, Jintao, Bi, Ziqian, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Chen, Silin, Li, Ming, Xu, Jiawei, Liu, Ming
This book offers an in-depth exploration of object detection and semantic segmentation, combining theoretical foundations with practical applications. It covers state-of-the-art advancements in machine learning and deep learning, with a focus on conv
Externí odkaz:
http://arxiv.org/abs/2410.15584
Autor:
Peng, Benji, Bi, Ziqian, Niu, Qian, Liu, Ming, Feng, Pohsun, Wang, Tianyang, Yan, Lawrence K. Q., Wen, Yizhu, Zhang, Yichao, Yin, Caitlyn Heqi
Large Language Models (LLMs) have transformed artificial intelligence by advancing natural language understanding and generation, enabling applications across fields beyond healthcare, software engineering, and conversational systems. Despite these a
Externí odkaz:
http://arxiv.org/abs/2410.15236
Autor:
Feng, Pohsun, Bi, Ziqian, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Yin, Caitlyn Heqi, Wang, Tianyang, Chen, Keyu, Zhang, Sen, Li, Ming, Xu, Jiawei, Liu, Ming, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
This article provides a detailed exploration of blockchain technology and its applications across various fields. It begins with an introduction to cryptography fundamentals, including symmetric and asymmetric encryption, and their roles in ensuring
Externí odkaz:
http://arxiv.org/abs/2410.10110
Autor:
Feng, Pohsun, Bi, Ziqian, Wen, Yizhu, Peng, Benji, Liu, Junyu, Yin, Caitlyn Heqi, Wang, Tianyang, Chen, Keyu, Zhang, Sen, Li, Ming, Xu, Jiawei, Liu, Ming, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
This manuscript presents a comprehensive guide to Automated Machine Learning (AutoML), covering fundamental principles, practical implementations, and future trends. The paper is structured to assist both beginners and experienced practitioners, with
Externí odkaz:
http://arxiv.org/abs/2410.09596
Autor:
Li, Ming, Bi, Ziqian, Wang, Tianyang, Wen, Yizhu, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Liu, Ming
This book presents a comprehensive exploration of GPGPU (General Purpose Graphics Processing Unit) and its applications in deep learning and machine learning. It focuses on how parallel computing, particularly through the use of CUDA (Compute Unified
Externí odkaz:
http://arxiv.org/abs/2410.05686
Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns
Autor:
Chen, Keyu, Bi, Ziqian, Wang, Tianyang, Wen, Yizhu, Feng, Pohsun, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Li, Ming, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Yin, Caitlyn Heqi, Liu, Ming
This book, Design Patterns in Machine Learning and Deep Learning: Advancing Big Data Analytics Management, presents a comprehensive study of essential design patterns tailored for large-scale machine learning and deep learning applications. The book
Externí odkaz:
http://arxiv.org/abs/2410.03795
Autor:
Feng, Pohsun, Bi, Ziqian, Wen, Yizhu, Pan, Xuanhe, Peng, Benji, Liu, Ming, Xu, Jiawei, Chen, Keyu, Liu, Junyu, Yin, Caitlyn Heqi, Zhang, Sen, Wang, Jinlang, Niu, Qian, Li, Ming, Wang, Tianyang
This book serves as an introduction to deep learning and machine learning, focusing on their applications in big data analytics. It covers essential concepts, tools like ChatGPT and Claude, hardware recommendations, and practical guidance on setting
Externí odkaz:
http://arxiv.org/abs/2410.01268