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IEEE1d
Classification of Human Voice Types Using Convolutional Neural Network Algorithm with Extraction of Mel-Frequency Cepstral Coefficients - IEEE Xplore
Detection of human voice types in the context of choir as a learning medium using CNN and MFCC. This research aims to classify the type of human voice so that it can be divided into four labels, ...
IEEE1d
A Genetic-Firefly Algorithm Based CNN-LSTM for Lithium-Ion Battery Fault Diagnosis - IEEE Xplore
Lithium-ion batteries are a crucial component of new energy. Studying the fault diagnosis method of the batteries can ensure the safety of the system during operation. In this paper, a diagnosis ...
IEEE4d
An Efficient Single-Parameter Scaling Memoryless Broyden-Fletcher-Goldfarb-Shanno Algorithm for Solving Large Scale Unconstrained Optimization Problems - IEEE Xplore
In this paper, a new spectral scaling memoryless Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm is developed for solving large scale unconstrained optimization problems, where the scaling parameter ...
IEEE4d
An Intelligent Scheduling Strategy in Fog Computing System Based on Multi-Objective Deep Reinforcement Learning Algorithm - IEEE Xplore
Fog computing (FC) has recently emerged as a promising new paradigm that provides resource-intensive Internet of Things (IoT) applications with low-latency services at the network edge. However, the ...
IEEE5d
TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study - IEEE Xplore
Identification of brain tumors at an early stage is crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges of tumor biopsies, three ...