Results 41 to 50 of about 36,339 (140)
CONCERT: A Modular Reconfigurable Robot for Construction
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini +18 more
wiley +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning
To accelerate software development, much research has been performed to help people understand and reuse the huge amount of available code resources.
Peddamail, Jayavardhan Reddy +2 more
core +1 more source
ABSTRACT The transition to affordable and clean energy sources is essential for creating a sustainable future. Green hydrogen, as an emerging energy carrier, has the potential to meet increasing energy demands while mitigating environmental impact and achieving SDG 7.
A. Telukdarie, K. Murulane, X. Maphisa
wiley +1 more source
Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems
ABSTRACT Background Modern critical systems often require to take decisions and classify data and scenarios autonomously without having detrimental effects on people, infrastructures or the environment, ensuring desired dependability attributes. Researchers typically strive to craft classifiers with perfect accuracy, which should be always correct and ...
Fahad Ahmed Khokhar +4 more
wiley +1 more source
Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning
ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz +2 more
wiley +1 more source
Applications of Artificial Intelligence in Neurological Voice Disorders
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao +2 more
wiley +1 more source
Abstract As artificial intelligence (AI) reshapes the educational landscape, promoting AI literacy in secondary education has become increasingly important. Understanding how secondary students perceive AI, particularly the machine learning (ML) decision‐making process, is critical for equipping them to navigate an AI‐driven future.
Liu Dong +4 more
wiley +1 more source
ABSTRACT Joint inquiry requires agents to exchange public content about some target domain, which in turn requires them to track which content a linguistic form contributes to a conversation. But, often, the inquiry delivers a necessary truth. For example, if we are inquiring whether a particular bird, Tweety, is a woodpecker, and discover that it is ...
Una Stojnić, Matthew Stone
wiley +1 more source
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source

