Results 21 to 30 of about 466 (155)
Disrupted montane forest recovery hinders biodiversity conservation in the tropical Andes
Global Ecology and Biogeography, Volume 32, Issue 5, Page 793-808, May 2023., 2023 Abstract Aim Andean montane forests are biodiversity hotspots and large carbon stores and they provide numerous ecosystem services. Following land abandonment after centuries of forest clearing for agriculture in the Andes, there is an opportunity for forest recovery. Field‐based studies show that forests do not always recover. However, large‐scale and
Tina Christmann +5 more
wiley +1 more source
Scandinavian Journal of Caring Sciences, Volume 37, Issue 1, Page 37-59, March 2023., 2023 Abstract Aim To review the evidence of the existing literature on the impact of guided self‐determination across methodologies in different healthcare settings. Methods An integrated five‐stage review. Results Forty‐five eligible papers were included. Guided self‐determination was applied in full‐ or small‐scale, or combined with another intervention ...
Mette Linnet Olesen, Rikke Jørgensen
wiley +1 more source
Performance evaluation of Hindi speech recognition system using optimized filterbanks
Engineering Science and Technology, an International Journal, 2018 An Automatic Speech Recognition (ASR) system implementation uses a conventional pattern recognition technique that stores a set of training patterns in classes and compares the test patterns with training patterns to place them in the best matched ...
Mohit Dua +2 more
doaj +1 more source
Trustee strategies, politicization and de‐delegation: The case of the European Central Bank
Governance, Volume 36, Issue 1, Page 125-140, January 2023., 2023 Abstract This article shows how the European Central Bank (ECB) reduced the risk of politicization and de facto de‐delegation despite experiencing contestation. During the euro area crisis and the coronavirus emergency the ECB's monetary policy measures have been widely praised for their effectiveness. Even though the ECB is an independent trustee that
Tobias Tesche
wiley +1 more source
Optimizing Integrated Features for Hindi Automatic Speech Recognition System
Journal of Intelligent Systems, 2018 An automatic speech recognition (ASR) system translates spoken words or utterances (isolated, connected, continuous, and spontaneous) into text format.
Dua Mohit +2 more
doaj +1 more source
COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds [PDF]
The European Physical Journal Special Topics, 2022 In the last 2 years, medical researchers and clinical scientists have paid close attention to the problem of respiratory sound classification to classify COVID-19 disease symptoms. In the physical world, very few AI-based (Artificial Intelligence) techniques are often used to detect COVID-19/SARS-CoV-2 respiratory disease symptoms from the human ...
Lella Kranthi Kumar, P.J.A. Alphonse
openaire +2 more sources
Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling
Journal of Intelligent Systems, 2018 The classical approach to build an automatic speech recognition (ASR) system uses different feature extraction methods at the front end and various parameter classification techniques at the back end.
Dua Mohit +2 more
doaj +1 more source
Alexandria Engineering Journal, 2022 The problem of respiratory sound classification has received good attention from the clinical scientists and medical researcher’s community in the last year to the diagnosis of COVID-19 disease. The Artificial Intelligence (AI) based models deployed into
Kranthi Kumar Lella, Alphonse Pja
doaj +1 more source
Bangla dataset and MMFCC in text-dependent speaker identification
Engineering and Applied Science Research, 2019 Automatic Speaker Identification (SID) is a challenging research topic that is mostly done based on either text-dependent or text-independent speech materials. Generally, an automatic SID system is designed based on English speech. The main goal of this
An-Nazmus Sakib
doaj +1 more source
An Underwater Acoustic Target Recognition Method Based on Restricted Boltzmann Machine
Sensors, 2020 This article focuses on an underwater acoustic target recognition method based on target radiated noise. The difficulty of underwater acoustic target recognition is mainly the extraction of effective classification features and pattern classification ...
Xinwei Luo, Yulin Feng
doaj +1 more source