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Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis

PloS one, 2020-04, Vol.15 (4), p.e0228059-e0228059

2020

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Approximation by exponential sampling type neural network operators

Analysis and mathematical physics, 2021-09, Vol.11 (3), Article 108

2021

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Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification

Computational intelligence and neuroscience, 2022-09, Vol.2022, p.1-15

2022

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Error bounds for ReLU networks with depth and width parameters

Japan journal of industrial and applied mathematics, 2023, Vol.40 (1), p.275-288

2023

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Predictive modeling in a steelmaking process using optimized relevance vector regression and support vector regression

Annals of operations research, 2022-09, Vol.316 (2), p.905-926

2022

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Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Mathematical problems in engineering, 2022-07, Vol.2022, p.1-10

2022

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Designing multi-cavity chaotic maps via multistage step state extension

Nonlinear dynamics, 2024-07, Vol.112 (14), p.12521-12535

2024

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Max-Product Type Exponential Neural Network Operators

Mathematical Analysis and Computing, 2021, Vol.344, p.561-571

2021

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Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement

Engineering with computers, 2021-07, Vol.37 (3), p.1943-1959

2021

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LGBM: An Intrusion Detection Scheme for Resource-Constrained End Devices in Internet of Things

Security and communication networks, 2022-10, Vol.2022, p.1-12

2022

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A Novel Combination Method of a Convolutional Neural Network and Energy Operators for the Detection of Change-Points in Electromyographic Signals

Applied sciences, 2023-01, Vol.13 (2), p.923

2023

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A prediction method for deck-motion based on online least square support vector machine and genetic algorithm

Journal of marine science and technology, 2019-06, Vol.24 (2), p.382-397

2019

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A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups

Engineering with computers, 2022-08, Vol.38 (4), p.3439-3461

2022

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Study of Image Classification Accuracy with Fourier Ptychography

Applied sciences, 2021-05, Vol.11 (10), p.4500

2021

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Dynamical detections of a fractional-order neural network with leakage, discrete and distributed delays

European physical journal plus, 2023-06, Vol.138 (6), p.575, Article 575

2023

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A novel 2D non-autonomous discrete memristor-based hyperchaotic map and its hardware implementation

Nonlinear dynamics, 2024-07, Vol.112 (14), p.12507-12519

2024

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Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling

Environmental science and pollution research international, 2022-10, Vol.29 (47), p.71555-71582

2022

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Optimized shuffle attention based Lidar signal denoising and temperature retrievals in the middle atmosphere

Optical and quantum electronics, 2024-06, Vol.56 (7), Article 1178

2024

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Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction

Computational intelligence and neuroscience, 2019-01, Vol.2019 (2019), p.1-12

2019

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Uncalibrated visual servoing based on Kalman filter and mixed-kernel online sequential extreme learning machine for robot manipulator

Multimedia tools and applications, 2024-02, Vol.83 (7), p.18853-18879

2024

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Suitability assessment of different vector machine regression techniques for blast-induced ground vibration prediction in Ghana

Modeling earth systems and environment, 2022-03, Vol.8 (1), p.897-909

2022

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Stability Analysis of Rock Slope Based on Improved Principal Component Analysis Model: Taking Fuwushan Slope as an Example

Geofluids, 2021-08, Vol.2021, p.1-10

2021

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Determination of Friction Capacity of Driven Pile in Clay Using Gaussian Process Regression (GPR), and Minimax Probability Machine Regression (MPMR)

Geotechnical and geological engineering, 2019-10, Vol.37 (5), p.4643-4647

Samui, Pijush

2019

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Probabilistic Back Analysis Based on Adam, Bayesian and Multi-output Gaussian Process for Deep Soft-Rock Tunnel

Rock mechanics and rock engineering, 2023-09, Vol.56 (9), p.6843-6853

2023

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Evidential Extreme Learning Machine Algorithm-Based Day-Ahead Photovoltaic Power Forecasting

Energies (Basel), 2022-05, Vol.15 (11), p.3882

2022

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Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis

Approximation by exponential sampling type neural network operators

Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification

Error bounds for ReLU networks with depth and width parameters

Predictive modeling in a steelmaking process using optimized relevance vector regression and support vector regression

Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Designing multi-cavity chaotic maps via multistage step state extension

Max-Product Type Exponential Neural Network Operators

Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement

LGBM: An Intrusion Detection Scheme for Resource-Constrained End Devices in Internet of Things

A Novel Combination Method of a Convolutional Neural Network and Energy Operators for the Detection of Change-Points in Electromyographic Signals

A prediction method for deck-motion based on online least square support vector machine and genetic algorithm

A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups

Study of Image Classification Accuracy with Fourier Ptychography

Dynamical detections of a fractional-order neural network with leakage, discrete and distributed delays

A novel 2D non-autonomous discrete memristor-based hyperchaotic map and its hardware implementation

Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling

Optimized shuffle attention based Lidar signal denoising and temperature retrievals in the middle atmosphere

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction

Uncalibrated visual servoing based on Kalman filter and mixed-kernel online sequential extreme learning machine for robot manipulator

Suitability assessment of different vector machine regression techniques for blast-induced ground vibration prediction in Ghana

Stability Analysis of Rock Slope Based on Improved Principal Component Analysis Model: Taking Fuwushan Slope as an Example

Determination of Friction Capacity of Driven Pile in Clay Using Gaussian Process Regression (GPR), and Minimax Probability Machine Regression (MPMR)

Probabilistic Back Analysis Based on Adam, Bayesian and Multi-output Gaussian Process for Deep Soft-Rock Tunnel

Evidential Extreme Learning Machine Algorithm-Based Day-Ahead Photovoltaic Power Forecasting

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