Results 91 to 100 of about 5,012,951 (306)

A Wavelet-Based Steganographic Method for Text Hiding in an Audio Signal. [PDF]

Sensors (Basel), 2022
Veselska O, Lavrynenko O, Odarchenko R, Zaliskyi M, Bakhtiiarov D, Karpinski M, Rajba S.   +6 more
europepmc   +1 more source

Scalable Photoactive NO2‐Sensing Framework for Plant Health Monitoring

Advanced Science, EarlyView.
A highly sensitive and selective NO2 gas sensor operates at room temperature using only ambient light, eliminating the need for external heating. Based on a scalable, 3D TiO2 nanoarchitecture, the device is integrated into a wireless platform and deployed on a plant. It successfully demonstrates real‐time monitoring of gas‐induced physiological stress,
Yun‐Haeng Cho, Kootak Hong, Jung Hwan Seo, Jae Han Chung, Jinho Lee, Sang‐Hyeon Nam, Sunwoo Lee, Jeong‐O Lee, Changui Ahn, Hyojung Kim, Jae Hyun Han, Gyu‐Li Kim, Seong‐Jun Ro, Jun Yeon Hwang, Hyeongyu Gim, Zion Park, Chil‐Hyoung Lee, Dong‐Su Kim, Kwangjae Lee, Young‐Seok Shim, Jun Min Suh, Donghwi Cho   +21 more
wiley   +1 more source

Optimized intelligent speech signal verification system for identifying authorized users

Engineering and Applied Science Research, 2023
Speech processing is today's trending topic in the digital industry for making authentication to keep aware of unauthorized ones. However, analyzing the signal feature using conventional filtering or the neural models is insufficient due to the present ...
Pravin Marotrao Ghate, Bhagvat D Jadhav, Prabhakar N Kota, Shankar Dattatray Chavan, Pravin Balaso Chopade   +4 more
doaj  

Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases. [PDF]

Sensors (Basel), 2023
Albiges T, Sabeur Z, Arbab-Zavar B.
europepmc   +1 more source

Artificial intelligence framework for heart disease classification from audio signals

Scientific Reports
As cardiovascular disorders are prevalent, there is a growing demand for reliable and precise diagnostic methods within this domain. Audio signal-based heart disease detection is a promising area of research that leverages sound signals generated by the ...
Sidra Abbas, Stephen Ojo, Abdullah Al Hejaili, Gabriel Avelino R. Sampedro, Ahmad S. Almadhor, M. Zaidi, Natalia Kryvinska   +6 more
semanticscholar   +1 more source

“Bio‐based Plastic? Hm, I've Never Seen It!”—A mixed‐methods investigation into consumer preferences for different packaging material of fresh apples and tomatoes

Agribusiness, EarlyView.
Abstract Packaging of fresh fruits and vegetables is standard in many grocery stores. This mixed methods study aims to identify the role packaging plays in consumer choice and what packaging material consumers prefer. We analyzed data from quantitative stated preference experiments with a quota sample of 485 consumers living in Germany.
Mira Lehberger, Anne‐Katrin Kleih, Kai Sparke   +2 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Hybrid integrated circuits for sound signal processing [PDF]

Tekhnologiya i Konstruirovanie v Elektronnoi Apparature, 2011
Developed hybrid integrated circuit with rated supply voltage of 1,4 V, current consumption 0,7 mA and overall dimensions 8×4×3 mm provides soft processing of the audio signal in analog microelectronic equipment.
Koval’chuk V. A., Sevast’yanov V. V.
doaj  

Audio Signal Processing Using Fractional Linear Prediction

Mathematics, 2019
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

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source