Results 61 to 70 of about 3,288,926 (196)

Thermal performance characterisation of a reverse-flow energy recovery ventilator for a residential building application [PDF]

E3S Web of Conferences, 2019
The European Union’s 2020 and 2030 sustainable energy policies seek significant reductions in both energy consumption and carbon emissions. These policies demand a greater use of energy efficient technologies and a transition away from fossil fuels. This
Hunt David, Mac Suibhne Naoise, Dimache Laurentiu, McHugh David, Lohan John   +4 more
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

Urban Economic Resilience and Supply Chain Dynamics: Evaluating Monetary Recovery Policies in Global Cities during the Early COVID-19 Pandemic

Mathematics
The COVID-19 pandemic has profoundly impacted global economies, underscoring the urgency of deriving lessons to enhance future crisis preparedness. This study explores the effects of monetary recovery policies on supply chain dynamics across key global ...
Jin Li, Guie Fu, Xichen Zhao
doaj   +1 more source

Recovery From Alcohol and Other Drug Problems in the U.S. Population: Prevalence, Pathways, and Predictors [PDF]

, 2018
The concept of "recovery" has become the organizing paradigm in many middle and high income countries globally with a goal of orienting services in cost effective ways to help sufferers achieve and maintain long term remission. Despite this focus, little
Hoeppner, Bettina, Hoffman, Lauren, Eddie, David, Bergman, Brandon, Kelly, John, Vilsaint, Corrie   +5 more
core   +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

Discovering impacts of built environment on transit ridership in the post-COVID era: policy intervention and nonlinear dynamics

International Journal of Transportation Science and Technology
Transit ridership continues to struggle with recovery in the post-COVID era. While previous studies have examined ridership patterns after COVID-19, the collective impact of lifted control policies and built environment factors on ridership recovery ...
Zilu Ding, Enhui Chen, Jing Teng
doaj   +1 more source

Community Colleges: The Next Frontier of Recovery Support at Institutions of Higher Education [PDF]

, 2018
In 2016, TYR could identify only six community colleges offering recovery support programs and services. Based on this finding, TYR identified a need for pilot programs to better understand programmatic models that may be effective for supporting ...
Jones, Erin K
core   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source