Results 81 to 90 of about 92,578 (296)

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

Correlation between Coronary Artery Bypass Graft Surgery and Hearing Threshold Changes [PDF]

open access: yesJournal of Kerman University of Medical Sciences, 2008
Introduction: Sensorineural hearing loss (SNHL) is a probable complication of coronary artery bypass graft (CABG) Surgery, that may be due to embolism, perfusion failure and consumption of ototoxic drugs.
M.A Damghani, M Khodarahmi, A Shahidi
doaj  

Age-related dissociation of sensory and decision-based auditory motion processing

open access: yesFrontiers in Human Neuroscience, 2012
Studies on the maturation of auditory motion processing in children have yielded inconsistent reports. The present study combines subjective and objective measurements to investigate how the auditory perceptual abilities of children change during ...
Alexandra Annemarie Ludwig   +3 more
doaj   +1 more source

Detection and discrimination thresholds for auditory periodicity [PDF]

open access: yesPerception & Psychophysics, 1990
Complex periodic auditory signals, produced by the Guttman-Julesz procedure of repeating segments of random noise, were employed to address the low region of auditory periodicity. Periodicity detection and discrimination tasks were examined with a common experimental procedure and a common measure of thresholds.
openaire   +2 more sources

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Auditory thresholds in schizophrenics versus normal controls

open access: yesComprehensive Psychiatry, 1985
Abstract We studied acuity for various auditory frequencies in 53 schizophrenics and 40 normal controls. Schizophrenics had significantly higher left and right ear thresholds and a greater L:R summed auditory threshold ratio than controls. These differences remained after accounting for subject age, gender, handedness, and drugs received at time of ...
M A, Taylor, R, Abrams
openaire   +2 more sources

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

open access: yesAdvanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka   +2 more
wiley   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera   +2 more
wiley   +1 more source

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