Results 41 to 50 of about 96,369 (275)
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief +12 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Analysis, Visualization, and Transformation of Audio Signals Using Dictionary-based Methods [PDF]
date-added: 2014-01-07 09:15:58 +0000 date-modified: 2014-01-07 09:15:58 +0000date-added: 2014-01-07 09:15:58 +0000 date-modified: 2014-01-07 09:15:58 ...
Aaron McLeran +12 more
core +1 more source
Open Loop Rate-Distortion Optimized Audio Coding [PDF]
This paper addresses complexity reduced rate-distortion optimized audio coding under rate constraint. A technique where distor-tion minimizing coding templates, chosen from a set of templates, are jointly selected for a set of segments. This optimization
Christensen, Mads Græsbøll +2 more
core +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform
Wide band digital audio signals have a very high data-rate associated with them due to their complex nature and demand for high-quality reproduction.
Umapathy Karthikeyan, Krishnan Sridhar
doaj +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Three-channel dependent mid/side coding framwork for multichannel 3D audio
The conventional mid/side coding method is discussed and generalized to a three-channel dependent M/S cod-ing (3D-M/S) method. Moreover, a codec framework based on 3D-M/S is proposed which enables the 3D-M/S to work for three-dimensional audio systems ...
Shi DONG +4 more
doaj +2 more sources
In the past few years, a large amount of techniques have been proposed to identify whether a multimedia content has been illegally tampered or not. Nevertheless, very few efforts have been devoted to identifying which kind of attack has been carried out,
G. Valenzise +3 more
doaj +2 more sources

