Context deep neural network model for predicting depression risk using multiple regression

JW Baek, K Chung - IEEE Access, 2020 - ieeexplore.ieee.org
Depression is a mental illness influenced by various factors, including stress in everyday life,
physical activities, and physical diseases. It accompanies such symptoms as continuous …

Application of deep neural network and deep reinforcement learning in wireless communication

M Li, H Li - Plos one, 2020 - journals.plos.org
Objective To explore the application of deep neural networks (DNNs) and deep
reinforcement learning (DRL) in wireless communication and accelerate the development of …

Adaptive boosted random forest-support vector machine based classification scheme for speaker identification

V Karthikeyan - Applied Soft Computing, 2022 - Elsevier
At each integrated work stage, many technologies and algebraic formulations are required
to identify the speakers from speech signals. Due to advancements in machine learning and …

[PDF][PDF] Mental health prediction using deep learning

U Sairam, S Voruganti - Int. J. Res. Appl. Sci. Eng. Technol, 2022 - academia.edu
Mental health is the aggregation of emotional, social and psychological well-being of a
person. These problems at workplace can lead to an increased amount of substance abuse …

FMLLR speaker normalization with i-vector: In pseudo-FMLLR and distillation framework

NM Joy, SR Kothinti, S Umesh - IEEE/ACM Transactions on …, 2018 - ieeexplore.ieee.org
When an automatic speech recognition (ASR) system is deployed for real-world
applications, it often receives only one utterance at a time for decoding. This single utterance …

Development of Risk Estimation Program for Storage Tank Failure Due to Uniform Corrosion Based on Deep Neural Network

A Federico, JF Fatriansyah, GP Irianti… - 2023 International …, 2023 - ieeexplore.ieee.org
The storage tank is one of the components of the oil and gas industry that is used as a
container to store liquids from exploration in very large volumes at temperatures and …

复杂环境下基于自适应深度神经网络的鲁棒语音识别.

张开生, 赵小芬 - … & Science/Jisuanji Gongcheng yu Kexue, 2022 - search.ebscohost.com
在连续语音识别系统中, 针对复杂环境(包括说话人及环境噪声的多变性) 造成训练数据与测试
数据不匹配导致语音识别率低下的问题, 提出一种基于自适应深度神经网络的语音识别算法 …

[PDF][PDF] РАСПОЗНАВАНИЕ СЕПСИСА В ОТДЕЛЕНИИ ИНТЕНСИВНОЙ ТЕРАПИИ НОВОРОЖДЕННЫХ С ИСПОЛЬЗОВАНИЕМ ИСКУССТВЕННОЙ …

ХМАМ Хассанин - СОВРЕМЕННАЯ НАУКА: АКТУАЛЬНЫЕ … - researchgate.net
АННОТАЦИЯ Сепсис-ведущая причина заболеваемости и смертности во всем мире.
Раннее выявление сепсиса важно, поскольку оно позволяет своевременно назначить …