Results 101 to 110 of about 325,315 (244)

Deep Learning for Audio Signal Processing

open access: yes, 2019
Given the recent surge in developments of deep learning, this article provides a review of the state-of-the-art deep learning techniques for audio signal processing.
Chang, Shuo-yiin   +5 more
core   +1 more source

Video and Text‐Based Supplemental Health Information and Consumer Willingness to Pay for Nutrient‐Enhanced Eggs

open access: yesAgribusiness, EarlyView.
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

An Effective Optimization-Based Neural Network for Musical Note Recognition

open access: yesJournal of Intelligent Systems, 2019
Musical pitch estimation is used to recognize the musical note pitch or the fundamental frequency (F0) of an audio signal, which can be applied to a preprocessing part of many applications, such as sound separation and musical note transcription. In this
Tamboli Allabakash Isak   +1 more
doaj   +1 more source

Evaluation of Experienced Manipulation Characteristics in Robotic Surgery Using Log Data From the Hinotori Surgical System

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito   +11 more
wiley   +1 more source

Optimized intelligent speech signal verification system for identifying authorized users

open access: yesEngineering 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   +4 more
doaj  

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

open access: yesAdvanced 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

Microphone multiplex system provides multiple outlets from single source [PDF]

open access: yes, 1966
Microphone multiplex system accepts an audio signal from a single source and provides any number of low impedance outputs at microphone level with complete isolation between output channels.
Lauver, R. E.
core   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

Audio Signal Processing Using Fractional Linear Prediction

open access: yesMathematics, 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

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

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