Results 251 to 260 of about 119,617 (348)
Use of Automation Technologies and Data Mining in Speech Recognition for Autism
Pipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Rongjie Mao, Yuncheng Zhu
wiley +1 more source
Dimer models and conformal structures
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala +3 more
wiley +1 more source
Predicting the compressive strength of self-compacting concrete by developed African vulture optimization algorithm-Elman neural networks. [PDF]
Guo S, Kou H, Bi Y, Mamlooki M.
europepmc +1 more source
Epitranscriptomics as a Candidate Universal Modulator of Dormancy Transitions
Dormancy is presented as a conserved, reversible survival program in which epitranscriptomic RNA modifications are proposed to provide a rapid, energy‐efficient layer that establishes, maintains, and terminates the state by modulating mRNA stability, translation, and localization.
Ehsan Pashay Ahi
wiley +1 more source
Performance evaluation of indented macro synthetic polypropylene fibers in high strength self-compacting concrete (SCC). [PDF]
Yaqin C +5 more
europepmc +1 more source
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley +1 more source
Hooked-End Steel Fibers Affecting Damping Ratio of Modified Self-Compacting Concrete with Rubber and Marble/Granite Additions. [PDF]
Gomes AE +4 more
europepmc +1 more source
Forecasting Local Ionospheric Parameters Using Transformers
Abstract We present a novel method for forecasting key ionospheric parameters using transformer‐based neural networks. The model provides accurate forecasts and uncertainty quantification of the F2‐layer peak plasma frequency (foF2), the F2‐layer peak density height (hmF2), and total electron content for a given geographic location.
D. J. Alford‐Lago +4 more
wiley +1 more source
Modelling of capillary suction of water in self-compacting concrete [PDF]
Audenaert, Katrien +2 more
core +1 more source

