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 …
Optimized hybrid learning for multi disease prediction enabled by lion with butterfly optimization algorithm
AK Dubey - Sādhanā, 2021 - Springer
As there is a rapid growth in healthcare systems and biomedical data. Machine learning
algorithms are utilized in many researches for predicting the risk of the diseases. The major …
algorithms are utilized in many researches for predicting the risk of the diseases. The major …
Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory
Skin diseases are considered to be a common disease in human, which have many invisible
dangers that may reduce the self-confidence and causes certain psychological depression …
dangers that may reduce the self-confidence and causes certain psychological depression …
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 …
Machine and Deep Learning Methods for Concrete Strength Prediction: A Bibliometric and Content Analysis Review of Research Trends and Future Directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting
This research proposes the use of feed-forward backpropagation neural networks (FFNN) to
develop an accurate cost forecasting model in light of the challenges associated with …
develop an accurate cost forecasting model in light of the challenges associated with …
Automated digital image watermarking based on multi-objective hybrid meta-heuristic-based clustering approach
K Soppari, NS Chandra - International Journal of Intelligent Robotics and …, 2023 - Springer
Digital image watermarking has been considered a major requirement in diverse
applications like broadcast monitoring, data authentication, and identification of ownership …
applications like broadcast monitoring, data authentication, and identification of ownership …
[HTML][HTML] 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 …
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 …