Zobrazeno 1 - 10
of 633
pro vyhledávání: '"artificial intelligence techniques"'
Autor:
Halil Kayra, Savaş Koç
Publikováno v:
Journal of Agricultural Sciences, Vol 30, Iss 4, Pp 735-747 (2024)
Artificial intelligence has become increasingly prominent in agriculture and other fields. Prediction of body weight in animals and plants has been done by humans using many different methods and observations from the past to the present. Although th
Externí odkaz:
https://doaj.org/article/afe1191dce2e4e6b9e5f45220589ab3d
Publikováno v:
International Journal of Mining and Geo-Engineering, Vol 58, Iss 3, Pp 307-313 (2024)
The paper presents the results of a comprehensive investigation of the applicability of various intelligence methods for optimal prediction of rock mass caveability in block caving by using effective geomechanical parameters. However, due to the comp
Externí odkaz:
https://doaj.org/article/0d31f2020749431a896ed151134bb699
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 1014-1030 (2024)
Abstract Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents. However, in high‐dimensional continuous spaces, the non‐stationary environment can provide outdated experiences that hinder
Externí odkaz:
https://doaj.org/article/ec14616a1f174b7f9a3ca2c13f6d04e9
Autor:
Kaiyue Zhou, Zhengliang Xiao, Qi Liu, Xu Wang, Jiaxin Huo, Xiaoqi Wu, Xiaoxiao Zhao, Xiaohan Feng, Baoyi Fu, Pengfei Xu, Yunyun Deng, Wenwen Xiao, Tao Sun, Lin Da
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract T-cell receptor (TCR) detection can examine the extent of T-cell immune responses. Therefore, the article analyzed characteristic data of glioma obtained by DNA-based TCR high-throughput sequencing, to predict the disease with fewer biomarke
Externí odkaz:
https://doaj.org/article/7cfb84388f4d466195a9e296e77d37ec
Publikováno v:
Rock Mechanics Bulletin, Vol 3, Iss 3, Pp 100129- (2024)
Rockburst is a phenomenon where sudden, catastrophic failure of the rock mass occurs in underground deep regions or areas with high tectonic stress during the excavation process. Rockburst disasters endanger the safety of people's lives and property,
Externí odkaz:
https://doaj.org/article/25ca841c8ec44f1891e1067724cc3752
Autor:
Sun Han, Xuemei Sun
Publikováno v:
IEEE Access, Vol 12, Pp 151460-151475 (2024)
This paper presents a novel approach to product design optimization through the synergy of Genetic Algorithms (GA) and specific AI techniques. By iteratively evolving solutions inspired by natural selection principles and utilizing AI for intelligent
Externí odkaz:
https://doaj.org/article/8097252ec3744476817293b5c8052c10
Autor:
Mohsin Khalil, Shahzad Amin Sheikh
Publikováno v:
IEEE Access, Vol 12, Pp 151669-151692 (2024)
The increasing integration of Renewable Energy Sources (RESs) into power systems exhibits unique challenges due to their inherent variability and the complexity of grid integration. This paper presents a comprehensive review and proposes an detailed
Externí odkaz:
https://doaj.org/article/8d7c30449815498ca6fb4ee54306e896
Autor:
Qiyang Zhang, Yingying Hu, Chao Zhou, Yumo Zhao, Na Zhang, Yun Zhou, Yongfeng Yang, Hairong Zheng, Wei Fan, Dong Liang, Zhanli Hu
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Objectives This study aims to decrease the scan time and enhance image quality in pediatric total-body PET imaging by utilizing multimodal artificial intelligence techniques. Methods A total of 270 pediatric patients who underwent total-body
Externí odkaz:
https://doaj.org/article/9df0e5992a60414fbe8142ec1504fd20
Autor:
جرجيس مصطفى خضر
Publikováno v:
مجلة الغري للعلوم الاقتصادية والادارية, Vol 20, Iss 2 (2024)
The study aimed to show the impact of artificial intelligence techniques in improving the process of proactive accounting reporting for companies, and for the purpose of reaching the goal of the study and testing its hypotheses, the questionnaire for
Externí odkaz:
https://doaj.org/article/0af21f6043584d6d802bb6af65e086ce