Results 41 to 50 of about 4,403,287 (206)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

Advanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Reducing door-to-balloon time in STEMI patients through instant messaging: An empirical study during the COVID-19 pandemic

Tungs’ Medical Journal
Background: Percutaneous coronary intervention (PCI) is the preferred treatment for ST-segment elevation myocardial infarction (STEMI). Guidelines recommend maintaining the door-to-balloon time (DTBT) within 90 min to improve treatment outcomes and ...
Yi-Chun Yang, Chih-Tsung Liu, Bao-Tzung Wu   +2 more
doaj   +1 more source

Understanding User Satisfaction of Instant Messaging Usage: An Empirical Study [PDF]

, 2012
The current article examines user satisfaction with instant messaging in building and maintaining social relationships with friends, family members, and others.
Wang, Wei, Song, Baoxiang, Hsieh, J.J. Po-An   +2 more
core  

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Motif Penggunaan Instant Messaging (Motif Penggunaan Instant Messaging LINE dan Whatsapp Mahasiswa Ilmu Komunikasi Non Reguler FISIP UNS 2015) [PDF]

, 2017
Aristy Mutiara Dinanty, NIM D1215010, Department of Communication Studies. With the title, "Motive Use Instant Messaging (Motive Use Instant Messaging LINE and Whatsapp Student Science Communication Non Regular FISIP UNS 2015)".
D, ARISTY MUTIARA
core  

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

The Impact of Social Media in Achieving Effective Communication in Construction Project Delivery [PDF]

European Project Management Journal, 2017
The role of social media in recent times has been interesting and captivating to the extent that they are seen as some sort of disruptive technologies that are altering the basic foundations of most firms.
Benedict Amade
doaj  

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Quantum‐Trained AI Enables Inverse Design of Organic Frontier Orbitals at Billion‐Scale

Advanced Science, EarlyView.
Quantum‐trained AI links molecular substructures to frontier‐orbital energetics and enables interpretable screening across nearly one billion GDB‐13 molecules. By combining fragment‐ and ring‐level insights with donor–acceptor energy alignment against ITIC, the framework narrows an immense chemical space to a small set of promising candidates and ...
Yeongnam Ko, Se Jin Kim, Ki Chul Kim
wiley   +1 more source