Results 161 to 170 of about 6,074,534 (244)

HeteroEdge: Latency-Aware Adaptive Protocol Parsing with Digital Twin Intelligence for Heterogeneous 5G IoT Edge Networks. [PDF]

Entropy (Basel)
Huang X, Dao TK, Nguyen TT.
europepmc   +1 more source

Who Can Afford to Fail? Investigating Science Students' Perceptions of Failure Through the Lens of Their Identities

Science Education, EarlyView.
ABSTRACT Scientists agree that learning to cope with failures is an important skill for science students to develop, and students who participate in science research often have positive outcomes after coping with science failures. However, the experience of failure in undergraduate science education more broadly seems to have an overall negative impact
Sandhya Krishnan, Isobel D. Cobb, Joseph A. Harsh, Manuela Mejia, Lisa Corwin   +4 more
wiley   +1 more source

Technological approach to invasive species: the role of remote sensing and predictive modelling. [PDF]

Environ Monit Assess
Gupta A, Murmu D, Rajak P, Ray L, Raghubanshi AS, Singh H, Wadhwa A.   +6 more
europepmc   +1 more source

Value creation and capture in artificial intelligence‐enabled ecosystems

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary We develop an ecosystem perspective on AI‐enabled value creation, grounded in AI's characteristics as a general‐purpose technology. We consider that AI can support multiple value propositions realized through distinct but interconnected ecosystems.
Rahul Kapoor, Manav Raj
wiley   +1 more source

A Sentinel-2 dataset for railway presence classification across metropolitan France. [PDF]

Data Brief
Pasold L, Eisentraut L, Buettner R.
europepmc   +1 more source

The intelligence loop and value creation in the age of AI agents

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Artificial intelligence (AI) is moving from generating outputs to executing work. An agent that executes work autonomously produces something generative AI does not: operational experience that can raise its future intelligence.
Yong Li, Ming Zeng, Alexis Li
wiley   +1 more source

Intelligent Cloud Resource Usage Potentially to Improve Task Scheduling by the use of Artificial Intelligence. [PDF]

F1000Res
Mohammed Lateef H, Abduljawad Al-Shibly M, Hadi Ali Al-Jumaili A, D Madeeh O, A S Al-Hitawi M, Arrova Dewi D, Zakree Bin Ahmad Nazri M, Nasir Kadhim S.   +7 more
europepmc   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

A Priority-Aware Multi-Agent Reinforcement Learning Framework for Collaborative Intelligent Sensing in Social IoT. [PDF]

Sensors (Basel)
Zhu J.
europepmc   +1 more source

World Models for Robotic Manipulation: A Survey

SmartBot, EarlyView.
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang, Ziyuan Wang, Guorui Pei, Mengshi Zhang, Canxi Liang, Jun Hu, Zhongxuan Li, Jinsong Wu, Ning Han, Zeqing Zhang, Jiaming Qi, Hongmin Wu, Shiyao Zhang, Pai Zheng, Jia Pan, David Navarro‐Alarcon, Sichao Liu, Peng Zhou   +17 more
wiley   +1 more source