Results 61 to 70 of about 56,992 (233)

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck   +4 more
wiley   +1 more source

Modeling uncertainties associated with multi-attribute decision-making based evaluation of cooling system using interval-valued complex intuitionistic fuzzy hypersoft settings

open access: yesAIMS Mathematics
Academics encounter a challenge regulating data-driven unpredictability in numerous complicated decision scenarios. Regulating the cyclical nature of appraisal attributes, determining lower and higher limitations, granting multi-parametric values as a ...
Muhammad Arshad   +5 more
doaj   +1 more source

Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience

open access: yesAdvanced Intelligent Systems, EarlyView.
An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis   +2 more
wiley   +1 more source

MADM-based network selection and handover management in heterogeneous network: A comprehensive comparative analysis

open access: yesResults in Engineering
As radio access technologies, processing speeds, and multimode interfaces of low-powered portable devices continue to advance, the future of wireless communication is envisioned to offer pervasive network coverage, high data rates, and a wide spectrum of
Ashok Kumar Yadav   +5 more
doaj   +1 more source

Testing and Debugging Techniques for Answer Set Solver Development

open access: yes, 2010
This paper develops automated testing and debugging techniques for answer set solver development. We describe a flexible grammar-based black-box ASP fuzz testing tool which is able to reveal various defects such as unsound and incomplete behavior, i.e ...
Brummayer, Robert, Järvisalo, Matti
core   +2 more sources

Respiratory Involvement in HIST1H1E‐Related Rahman Syndrome: A Case of Severe Mixed Apnea

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Rahman syndrome (HIST1H1E‐related neurodevelopmental syndrome, OMIM #617537) is a rare autosomal‐dominant condition caused by truncating variants in the C‐terminal domain of the HIST1H1E gene. It is characterized by macrocephaly, hypotonia, craniofacial anomalies, and multisystem anomalies.
Nada Barakat   +4 more
wiley   +1 more source

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole‐Slide Images

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of whole‐slide images (WSIs) to enable quantitative assessment of nasal inflammatory cells.
Xu Zhang   +9 more
wiley   +1 more source

Estimating population cardinal health state valuation models from individual ordinal (rank) health state preference data [PDF]

open access: yes, 2006
Ranking exercises have routinely been used as warm-up exercises within health state valuation surveys. Very little use has been made of the information obtained in this process. Instead, research has focussed upon the analysis of health state valuation data obtained using the visual analogue scale, standard gamble and time trade off methods.\ud \ud ...
McCabe, C.   +6 more
openaire   +1 more source

Weakly-supervised Dictionary Learning

open access: yes, 2018
We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and ...
Fern, Xiaoli Z.   +3 more
core   +1 more source

Cuneiform Nucleus Stimulation Can Assist Gait Training to Promote Locomotor Recovery in Individuals With Incomplete Tetraplegia

open access: yesAnnals of Neurology, EarlyView.
Objective Impaired ability to induce stepping after incomplete spinal cord injury (SCI) can limit the efficacy of locomotor training, often leaving patients wheelchair‐bound. The cuneiform nucleus (CNF), a key mesencephalic locomotor control center, modulates the activity of spinal locomotor centers via the reticulospinal tract.
Anna‐Sophie Hofer   +21 more
wiley   +1 more source

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