Results 61 to 70 of about 56,466 (215)
Robust and secure systems for audio signals
Audio steganography is considered a crucial technique for bolstering information security. It is used to hide sensitive data within an audio signal. This paper presents two robust techniques for audio steganography, which embed secret images within the ...
Marwa A. Nasr +5 more
doaj +1 more source
Audio Signal Processing Using Fractional Linear Prediction
Fractional linear prediction (FLP), as a generalization of conventional linear prediction (LP), was recently successfully applied in different fields of research and engineering, such as biomedical signal processing, speech modeling and image processing.
Tomas Skovranek, Vladimir Despotovic
doaj +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor +3 more
wiley +1 more source
Audio Signal Authentication and Integrity Protection
This paper presents SAIN (Signal Authentication and INtegrity), an improvement to an algorithm developed for the fragile watermarking of audio files, composed of sequences of samples, with the purpose of integrity protection.
Marco Botta +2 more
doaj +1 more source
A Wavelet-Based Steganographic Method for Text Hiding in an Audio Signal. [PDF]
Veselska O +6 more
europepmc +1 more source
AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu +9 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases. [PDF]
Albiges T, Sabeur Z, Arbab-Zavar B.
europepmc +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source

