Wavelet ELM-AE based data augmentation and deep learning for efficient emotion recognition using EEG recordings
Emotion perception is critical for behavior prediction. There are many ways to capture
emotional states by observing the body and copying actions. Physiological markers such as …
emotional states by observing the body and copying actions. Physiological markers such as …
Classification of weeds and crops at the pixel-level using convolutional neural networks and data augmentation
A Brilhador, M Gutoski, LT Hattori… - 2019 IEEE latin …, 2019 - ieeexplore.ieee.org
The Pixel-Level Classification of crops and weeds is an open problem in computer vision.
The use of agrochemicals is necessary for effective weed control, but one of the great …
The use of agrochemicals is necessary for effective weed control, but one of the great …
Graph embedding-based dimension reduction with extreme learning machine
Dimension reduction (DR)-based on extreme learning machine auto-encoder (ELM-AE) has
achieved many successes in recent years. By minimizing the self-reconstruction error, the …
achieved many successes in recent years. By minimizing the self-reconstruction error, the …
A lung sound classification system based on data augmenting using ELM-Wavelet-AE
The method is of great importance in systems that include machine learning and
classification steps. As a result, academics are constantly working to improve the process …
classification steps. As a result, academics are constantly working to improve the process …
Prediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine
S Zhang, T Zhang, C Liu - SAR and QSAR in Environmental …, 2019 - Taylor & Francis
Apoptosis is a fundamental process controlling normal tissue homeostasis by regulating a
balance between cell proliferation and death. Predicting the subcellular location of …
balance between cell proliferation and death. Predicting the subcellular location of …
Comparative analysis of some selected generative adversarial network models for image augmentation: a case study of COVID-19 x-ray and CT images
One of the fastest-growing fields in today's world is data analytics. Data analytics paved the
way for a significant number of research and development in various fields including …
way for a significant number of research and development in various fields including …
The random neural network with a genetic algorithm in intelligent buildings
W Serrano - 2020 International Conference on Computing …, 2020 - ieeexplore.ieee.org
The Random Neural Network with a Genetic algorithm and its integration into an Intelligent
Building: iBuilding is proposed in this paper. The presented biological method, founded on …
Building: iBuilding is proposed in this paper. The presented biological method, founded on …
Measuring flow speeds in natural waters by training an artificial neural network to analyze high-frequency flow-induced vibrations of tethered floats
TF Hansen - Environmental Monitoring and Assessment, 2022 - Springer
Measuring water currents in natural waters is limited by the cost of sensors. Standard sonar-
based acoustic current Doppler profilers (ADCPs) are high cost, about $10–20 K per unit. Tilt …
based acoustic current Doppler profilers (ADCPs) are high cost, about $10–20 K per unit. Tilt …
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks
The genetic mechanisms responsible for the differentiation, metabolism, morphology and
function of a cell in both normal and abnormal conditions can be uncovered by the analysis …
function of a cell in both normal and abnormal conditions can be uncovered by the analysis …
Akciğer Kanser Tipi Tespitinde Etkili Bir Görüntü Çoğullama Tekniği
Son yıllarda derin öğrenme mimarilerinin sınıflama ve tahmin üzerine yüksek başarımlara
sahip olması bu alanlara ilgiyi artırmıştır. Özellikle medikal alanlarda hastalık tanısında …
sahip olması bu alanlara ilgiyi artırmıştır. Özellikle medikal alanlarda hastalık tanısında …