Results 61 to 70 of about 2,640,667 (290)
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Investigation of a smart noise barrier for dual active and passive control of construction noise
49th International Congress and Exposition on Noise Control Engineering (INTERNOISE 2020): Advances in Noise and Vibration Control Technology: Seoul, Korea, 23-26 August 2020202312 bcchVersion of RecordOthersEnvironment and Conservation Fund of the Hong ...
Wang, J +4 more
core
Millimeter wave (mmWave) communication has been regarded as one of the most promising technologies for the future generation wireless networks because of its advantages of providing a ultra-wide new spectrum and ultra-high data transmission rate.
Ling Xu +6 more
doaj +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Robust Synthesis Scheme for Secure Multi-Beam Directional Modulation in Broadcasting Systems
Recently, directional modulation has become an active research area in wireless communications due to its security. Unlike existing research work, we consider a multi-beam directional modulation (MBDM) scenario with imperfect desired direction knowledge.
Feng Shu +4 more
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Enhancing classification performance over noise and imbalanced data problems [PDF]
This research presents the development of techniques to handle two issues in data classification: noise and imbalanced data problems. Noise is a significant problem that can degrade the quality of training data in any learning algorithm.
Jeatrakul, Piyasak
core
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Noise responses before and after noise abatement measures in a residential intervention project
In a residential area exposed to road traffic noise a socio-acoustic longitudinal study was conducted to investigate the effects of a large intervention project on acoustical conditions and resident's noise responses.
Kihlman, Tor +10 more
core +1 more source
Differentiating noise and modulators in artificial neural networks [PDF]
Research in Computational Neural Networks is currently taking place at many different levels; from coarse-grain symbolic models to fine-grain representations of neurons and cell processes. One feature that the different approaches share, is that they are all in relative infancy.
openaire +2 more sources

