[HTML][HTML] Review of large vision models and visual prompt engineering

J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai… - Meta-Radiology, 2023 - Elsevier
Visual prompt engineering is a fundamental methodology in the field of visual and image
artificial general intelligence. As the development of large vision models progresses, the …

Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods

Y Cao, H Zhao, Y Cheng, T Shu, Y Chen… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
With extensive pretrained knowledge and high-level general capabilities, large language
models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in …

Reasoning with language model is planning with world model

S Hao, Y Gu, H Ma, JJ Hong, Z Wang, DZ Wang… - ar** the generative artificial intelligence (ai) research landscape
TR McIntosh, T Susnjak, T Liu, P Watters… - ar** intelligent agents capable of functioning in open …

The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions

FA Alenizi, S Abbasi, AH Mohammed… - Computers & Industrial …, 2023 - Elsevier
Industry 4.0 transforms the manufacturing sector with dynamic, networked, complex
industrial environments. These environments generate vast amounts of data and require …

Review of the Li-ion battery, thermal management, and AI-based battery management system for EV application

M Ghalkhani, S Habibi - Energies, 2022 - mdpi.com
With the large-scale commercialization and growing market share of electric vehicles (EVs),
many studies have been dedicated to battery systems design and development. Their focus …

Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling

WC Chou, Z Lin - Toxicological Sciences, 2023 - academic.oup.com
Physiologically based pharmacokinetic (PBPK) models are useful tools in drug development
and risk assessment of environmental chemicals. PBPK model development requires the …

Energy management strategy of a novel parallel electric-hydraulic hybrid electric vehicle based on deep reinforcement learning and entropy evaluation

Z Zhang, T Zhang, J Hong, H Zhang, J Yang - Journal of Cleaner …, 2023 - Elsevier
An excellent energy management strategy is paramount to the new energy vehicle safety,
durability, and reliability, which invariably affects the driving experience. This paper …

Agentic AI: Autonomous Intelligence for Complex Goals–A Comprehensive Survey

DB Acharya, K Kuppan, B Divya - IEEE Access, 2025 - ieeexplore.ieee.org
Agentic AI, an emerging paradigm in artificial intelligence, refers to autonomous systems
designed to pursue complex goals with minimal human intervention. Unlike traditional AI …