Results 131 to 140 of about 80,218 (288)
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao +5 more
wiley +1 more source
ABSTRACT Transnational municipal networks (TMNs) such as C40 or ICLEI have been posited to foster city‐to‐city learning in accelerating climate change mitigation and, thereby, facilitating the transition to net‐zero greenhouse gas emissions. However, the existing literature on the role of climate networks has hardly examined the relationship between ...
Chitransh Lot, Nihit Goyal, Thomas Hoppe
wiley +1 more source
This article presents a review of flat‐plate hybrid solar panels, focusing on four key aspects: system components, parameters affecting efficiency, monitoring, and applications of artificial intelligence. The use of hybrid solar panels represents a promising technology for the simultaneous generation of electrical and thermal energy from solar ...
Amy Zulema Velasco Bonilla +8 more
wiley +1 more source
On the Applicability of the Advocacy Coalition Framework for Analyzing EU Policy Processes
ABSTRACT Initially developed for the US context, the Advocacy Coalition Framework (ACF) is increasingly used to analyze policy processes in the EU. But policymaking in EU differs from the US context, why the applicability of ACF in the EU context should be scrutinized.
Fredrik von Malmborg
wiley +1 more source
Policy Spandrels: How Design Decisions Can Open Up Spaces for Unintended Policy Change
ABSTRACT This article introduces the concept of policy spandrels to make sense of public policies producing second‐order effects that are unintentional from the perspective of policy design and yet are fraught with consequences. By analogy with architectural spandrels—leftover spaces that can be used for unforeseen purposes—policy change can be enabled
Martino Maggetti
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Establishing the program to predict Shirt Sizes with Fuzzy Logic
This paper presents a program for prediction shirt size with a fuzzy logic technique. The Mamdani model is applied to a MISO fuzzy system with two inputs and one output. Neck girth and sleeve length are chosen as the primary dimensions, serving as input variables for this simulation model.
openaire +1 more source
Feed‐Forward PID‐Based Cooperative Control Strategy for Air Mass Flow and Pressure in PEMFC Systems
This manuscript presents an 86 kW proton exchange membrane fuel cell (PEMFC) with a feed‐forward PID control strategy, tested in an engine environment. The air mass flow and pressure changes are analyzed across three stages: loading, de‐loading, and wide range of sudden load drop. Experimental results demonstrate the control strategy's effectiveness of
Xinhao Bian +5 more
wiley +1 more source
Study boundary and subsystem decomposition of the hydrogen‐injection facility: (1) Safety System, (2) Hydrogen System, (3) Electrolyzer, Power Supply, and Lye Preparation and Circulation, (4) Cooling System, (5) Potassium Hydroxide System, and (6) Fresh Water System.
Finn Börje Wesemeyer, Karsten Müller
wiley +1 more source
An Innovative AI‐Driven Algorithm for Efficient and Precise Distribution System Planning
ABSTRACT This paper presents GRATE–DRL–AI, an Artificial Intelligence (AI)–driven algorithm designed to enhance the efficiency and accuracy of distribution system planning. Leveraging advanced AI methodologies, including graph learning, transfer learning, deep reinforcement learning (DRL), and physics‐guided neural networks, this model efficiently ...
Harshit Singh +3 more
wiley +1 more source

