Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm
K Manohar, E Logashanmugam - Knowledge-based systems, 2022 - Elsevier
Speech emotion recognition is the crucial stream in emotional computing and also create
few issues owing to its complication in processing. The efficiency of the acoustic methods …
few issues owing to its complication in processing. The efficiency of the acoustic methods …
Facial expression recognition of online learners from real-time videos using a novel deep learning model
M Jagadeesh, B Baranidharan - Multimedia Systems, 2022 - Springer
In every learning setting, in classrooms or online, a student's emotions throughout course
involvement play a critical role. It employs disturbing, excite, and eye and head movement …
involvement play a critical role. It employs disturbing, excite, and eye and head movement …
Recommender system for health care analysis using machine learning technique: A review
SG Shaikh, B Suresh Kumar… - Theoretical Issues in …, 2022 - Taylor & Francis
Recommender systems use different techniques of machine learning (ML) to suggest users
and recommend service or entity in various field of application such as in health care …
and recommend service or entity in various field of application such as in health care …
Portfolio optimization and return prediction by integrating modified deep belief network and recurrent neural network
M Sharma, HS Shekhawat - Knowledge-Based Systems, 2022 - Elsevier
The victory of portfolio construction is mostly based on the future stock market performance.
Recently, the developed machine learning techniques bring more significance of involving …
Recently, the developed machine learning techniques bring more significance of involving …
Design and development of modified ensemble learning with weighted rbm features for enhanced multi-disease prediction model
In this computer world, huge data are generated in several fields. Statistics in the healthcare
engineering provides data about many diseases and corresponding patient's information …
engineering provides data about many diseases and corresponding patient's information …
Intelligent solar irradiance forecasting using hybrid deep learning model: a meta-heuristic-based prediction
NP Sebi - Neural Processing Letters, 2023 - Springer
Solar PhotoVoltaic is one among the majority of key techniques for moving away from fossil
fuels and toward renewable energy. Solar prediction is an efficient approach for improving …
fuels and toward renewable energy. Solar prediction is an efficient approach for improving …
Multi-channel neuro signal classification using Adam-based coyote optimization enabled deep belief network
VK Reddy, RK AV - Biomedical Signal Processing and Control, 2022 - Elsevier
Electroencephalogram (EEG) signals gather the spiking activities of the brain based on its
standardized electrodes of the scalp. Classification of EEG signal is a significant task for …
standardized electrodes of the scalp. Classification of EEG signal is a significant task for …
Development of adaptive time-weighted dynamic time warping for time series vegetation classification using satellite images in Solapur district
M Kumawat, A Khaparde - The Computer Journal, 2023 - academic.oup.com
The global seasonal change and continued rapid growth have maximized the need to
assess the urban dwellers' depend on vegetation for their lives, and also in the urban …
assess the urban dwellers' depend on vegetation for their lives, and also in the urban …
Ensemble learning‐based channel estimation and hybrid precoding for millimeter‐wave massive multiple input multiple output system
G Navabharat Reddy, R CV - Transactions on Emerging …, 2023 - Wiley Online Library
Abstract Millimeter‐Wave (mmWave) massive Multi‐User Multiple Input Multiple Output (MU‐
MIMO) utilizes the hybrid analog precoding design helps to minimize the amount of Radio …
MIMO) utilizes the hybrid analog precoding design helps to minimize the amount of Radio …