Results 121 to 130 of about 935,753 (293)

Smart In-Process Inspection in Human–Cyber–Physical Manufacturing Systems: A Research Proposal on Human–Automation Symbiosis and Its Prospects

Machines
This positioning paper explores integrating smart in-process inspection and human–automation symbiosis within human–cyber–physical manufacturing systems.
Shu Wang, Roger J. Jiao
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Statistical Foundations of Intelligent Technologies

, 2007
Intelligent Technologies problems have one common element; uncertainty. Randomness, natural or created, is an important part of the engineering problems in Intelligent Technologies.
Aboura, K
core  

Simplifying Compliance through Explainable Intelligent Automation [PDF]

We discuss how explainability in AI-systems can deliver transparency and build trust towards greater adoption of automation to support financial regulation compliance among banks and financial services firms.
Bowden, James, Cummins, Mark, Jain, Kushagra, Dao, Daniel   +3 more
core   +2 more sources

Key Technology of 9 000 m Intelligent Drilling Rig

Shiyou jixie, 2019
The domestic 9 000 m drilling rig has developed rapidly and has reached the international leading level in drilling depth and variable frequency drive.
Xu Yimin, Liu Zhanpeng, Gao Meng, Chen Hongguang, Chai Xiaoling, Wang Xianliang, Dong Zhenshu   +6 more
doaj  

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

Advanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C. H. Tsang   +3 more
wiley   +1 more source

Intelligent process automation and its relevance to various industries

Intelligent process automation represents a significant leap forward in the integration of artificial intelligence and robotic process automation to streamline and enhance various business operations.
Park, Jin Yong, Kandasamy, R., Thangam, D., Patil, Shashikala, K. A., Pavan, Chikkandar, R.   +5 more
core   +1 more source

PteroBot: A Forest Exploration Robot Bioinspired by Pteromyini Gliding Mechanism

Biomimetics
Forests are critical ecosystems that play a fundamental role in supporting biodiversity and maintaining climate stability. However, forest monitoring and exploration present huge challenges due to the vast scale and complex terrain. This paper proposes a
Minghao Fan, Jiayi Wang, Tianyi Liu, Ze Ren, Guoniu Zhu, Jin Ma   +5 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source