Results 151 to 160 of about 604,960 (305)

Co-benefits in carbon reduction from freight mode shifts under China’s ‘Clean Air Action’

Environmental Research Letters
China’s air pollution mitigation policy promotes the shift of bulk cargo transportation from roadways to railways and waterways, which might also influence carbon emissions.
Lina Liu, Yifan Liu, Yijing Zhu, Koen Mommens, Haikun Wang   +4 more
doaj   +1 more source

The impact of coordinated policies on air pollution emissions from road transportation in China

, 2017
Paul Kishimoto, Valerie J. Karplus, Min Zhong, Eri Saikawa, Xu Zhang, Xiliang Zhang   +5 more
openalex   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

An Empirical Investigation on the Efficiency, Capacity Ownership of Italian Airports [PDF]

In this paper we study the efficiency of Italian airports applying a DEA model to 34 airports. We find that large airports are more efficient than domestic and regional ones, i.e.
Gianmaria Martini, Paolo Malighetti, Renato Redondi, Stefano Paleari   +3 more
core  

Screw‐Based Pill for Intelligent Robotic Extraction of Viscous Fluids in Medical Applications

Advanced Intelligent Systems, EarlyView.
Screw‐based pill for intelligent robotic extraction (S‐PIRE) is a magnetically actuated smart capsule with a motorized screw, 3‐axis sensor, and Bluetooth control for site‐specific and minimally invasive remote sampling of viscous fluids, overcoming passive diffusion limitations.
Prima Dewi Sinawang, Victor Garcia‐Gradilla, Fernando Soto, Demir Akin, Margaret Braunreuther, Gerald G. Fuller, Utkan Demirci   +6 more
wiley   +1 more source

TRANSPORTATION, AIR POLLUTION AND PHYSICAL ACTIVITIES (TAPAS), A 6-CITY INTEGRATED HEALTH RISK ASSESSMENT PROGRAM OF ACTIVE TRAVEL POLICIES: THE BASEL CASE STUDY [PDF]

, 2011
Martina S. Ragettli, Chantal Wullimann, Leticia Grize, Audrey de Nazelle, Nino Künzli, L.-J. Sally Liu, Charlotte Braun‐Fahrländer   +6 more
openalex   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

Advanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao   +6 more
wiley   +1 more source