yusuke1997/dblp-id-title huggingface dataset:
A non-revisiting quantum-behaved particle swarm optimization based multilevel thresholding for image segmentation
iDP: ML-driven diabetes prediction framework using deep-ensemble modeling
Using deep learning for short-term load forecasting
Optimization of fracture behavior of alumina/silicon carbide nano ceramic
CNN autoencoders and LSTM-based reduced order model for student dropout prediction
Efficiently inaccurate approximation of hyperbolic tangent used as transfer function in artificial neural networks
Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies
Understanding the causal structure among the tags in marketing systems
Image-based face verification and experiments
Adaptive decentralized prescribed performance control for a class of large-scale nonlinear systems subject to nonsymmetric input saturations
Multi-discrete genetic algorithm in hopfield neural network with weighted random k satisfiability
Feature analysis and ensemble-based fault detection techniques for nonlinear systems
Combining support vector regression with feature selection for multivariate calibration
Modeling and experimental validation of dry-type transformers with multiobjective swarm intelligence-based optimization algorithms for industrial application
Algebraic fuzzy directed-complete posets
Neural computing models for prediction of permeability coefficient of coarse-grained soils
Multi-matrices entropy discriminant ensemble learning for imbalanced problem
A multi-scale channel-wise convolution-based multi-level heat stress assessment
Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory - A case study involving a real wireless sensor network deployment in Brazil
Policy invariant explicit shaping: an efficient alternative to reward shaping
A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images
Multiclass classifier based on boundary complexity
An approach to identify solutions of interest from multi and many-objective optimization problems
Segmentation on remote sensing imagery for atmospheric air pollution using divergent differential evolution algorithm
Adaptive fuzzy output feedback control of nonlinear uncertain systems with unknown backlash-like hysteresis based on modular design
A neural integrator model for planning and value-based decision making of a robotics assistant
Asymptotic stability of singular delayed reaction-diffusion neural networks
A comprehensive evaluation of feature-based AI techniques for deepfake detection
Feasibility of a novel predictive model based on multilayer perceptron optimized with Harris hawk optimization for estimating of the longitudinal dispersion coefficient in rivers
A novel rough set-based approach for minimum vertex cover of hypergraphs
Evidence of power-law behavior in cognitive IoT applications
CWC-transformer: a visual transformer approach for compressed whole slide image classification
Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry
Rule-based Mamdani type fuzzy logic model for the prediction of compressive strength of silica fume included concrete using non-destructive test results
JointMETRO: a 3D reconstruction model for human figures in works of art based on transformer
Research on prediction of traffic flow based on dynamic fuzzy neural networks
Performance optimization of QoS-supported dense WLANs using machine-learning-enabled enhanced distributed channel access (MEDCA) mechanism
Advancements in global optimization with an empowered capuchin search algorithm
Using flower pollination algorithm and atomic potential function for shape matching
NBSOM: The naive Bayes self-organizing map
Long-term temporal averaging for stochastic optimization of deep neural networks
Novel global polynomial stability criteria of impulsive complex-valued neural networks with multi-proportional delays
Time segment language model for microblog retrieval
Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach
Video-based face recognition and image synthesis from rotating head frames using nonlinear manifold learning by neural networks
Hybrid feedforward ANN with NLS-based regression curve fitting for US air traffic forecasting
The multi-fuzzy N-soft set and its applications to decision-making
Lung nodules detection using semantic segmentation and classification with optimal features
Intelligent forecaster of concentrations (PM2.5, PM10, NO2, CO, O3, SO2) caused air pollution (IFCsAP)
Adaptive neural network control for maglev vehicle systems with time-varying mass and external disturbance
A hybrid soft computing approach based on feature selection for estimation of filtration combustion characteristics
Geometric-driven structure recovery from a single omnidirectional image based on planar depth map learning
Performance improvement via bagging in probabilistic prediction of chaotic time series using similarity of attractors and LOOCV predictable horizon
Observer-based fuzzy adaptive control of nonlinear systems with actuator faults and unmodeled dynamics
A convolutional neural network model for semantic segmentation of mitotic events in microscopy images
Hardware implementation of particle swarm optimization with chaotic fractional-order
Multistability of periodic delayed recurrent neural network with memristors
Retraction Note: Research on the virtual reality of vibration characteristics in vehicle cabin based on neural networks
Neural network-based correlation and statistical identification of data outliers in H 2 S-alkanolamine-H 2 O and CO 2 -alkanolamine-H 2 O datasets
Metaheuristic algorithms to allocate and schedule of the rescue units in the natural disaster with fatigue effect
Multi-ellipses detection on images inspired by collective animal behavior
A fuzzy neighborhood-based training algorithm for feedforward neural networks
Evolutionary model construction for electricity consumption prediction
Manifold regularization in structured output space for semi-supervised structured output prediction
Retraction Note: Effective offline handwritten text recognition model based on a sequence-to-sequence approach with CNN-RNN networks
Hybrid signal processing/machine learning and PSO optimization model for conjunctive management of surface-groundwater resources
On robust randomized neural networks for regression: a comprehensive review and evaluation
Condition monitoring and life prediction of the turning tool based on extreme learning machine and transfer learning
FMNSICS: Fractional Meyer neuro-swarm intelligent computing solver for nonlinear fractional Lane-Emden systems
Environment modeling and localization from datasets of omnidirectional scenes using machine learning techniques
Research on sheep face recognition algorithm based on improved AlexNet model
Application of a semi-supervised technique for identifying unstable mine slopes
Estimation of asphaltene precipitation from titration data: a hybrid support vector regression with harmony search
An improved approach to fuzzy clustering based on FCM algorithm and extended VIKOR method
MSL-MNN: image deraining based on multi-scale lightweight memristive neural network
Employing machine learning techniques in monitoring autocorrelated profiles
Heat and mass transfer phenomena in the flow of Casson fluid over an infinite oscillating plate in the presence of first-order chemical reaction and slip effect
MetaScleraSeg: an effective meta-learning framework for generalized sclera segmentation
DM-pruning CADJ graphs for SOM clustering
Deep forest regression based on cross-layer full connection
Comparison of classification methods on EEG signals based on wavelet packet decomposition
Topical collection on machine learning for big data analytics in smart healthcare systems
Groundwater level prediction using machine learning algorithms in a drought-prone area
Adaptive temperature scaling for Robust calibration of deep neural networks
FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery
Superpixel-based adaptive salient region analysis for infrared and visible image fusion
BinGSO: galactic swarm optimization powered by binary artificial algae algorithm for solving uncapacitated facility location problems
A novel hybrid PSO- and GS-based hyperparameter optimization algorithm for support vector regression
An effective combining classifier approach using tree algorithms for network intrusion detection
Neural architecture search based on packed samples for identifying animals in camera trap images
Event-based delayed impulsive control for fractional-order dynamic systems with application to synchronization of fractional-order neural networks
Data Augmentation techniques in time series domain: a survey and taxonomy
A new result for projection neural networks to solve linear variational inequalities and related optimization problems
Modeling of catalyst composition-activity relationship of supported catalysts in NH3-NO-SCR process using artificial neural network
Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions
Zero-shot image segmentation for scene objects based on the L0 gradient minimization and adaptive superpixel method
An hybrid detection system of control chart patterns using cascaded SVM and neural network-based detector
Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection
Efficient and effective training of sparse recurrent neural networks
Adaptive recurrent neural network intelligent sliding mode control of permanent magnet linear synchronous motor
Special issue on ICONIP 2012
A Pareto-optimal evolutionary approach of image encryption using coupled map lattice and DNA
Using Voronoi diagrams to improve classification performances when modeling imbalanced datasets
Color face recognition using novel fractional-order multi-channel exponent moments
Multi-view graph representation learning for hyperspectral image classification with spectral-spatial graph neural networks
A supervised and distributed framework for cold-start author disambiguation in large-scale publications
A novel concept of embedding orthogonal basis function expansion block in a neural equalizer structure for digital communication channel
Feature space partition: a local-global approach for classification
Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery
Adaptive filter-enabled electrocardiogram signals-based myocardial infarction detection using convolutional neural network ensemble model
Prediction of flyrock launch velocity using artificial neural networks
Firefighting robot with deep learning and machine vision
Fixed-time control of competitive complex networks
Modeling fractional polytropic gas spheres using artificial neural network
Evaluation of factors affecting dance training effects based on reinforcement learning
A multi-objective algorithm for U-shaped disassembly line balancing with partial destructive mode
CrossGCL: cross-view graph contrastive learning with dual tasks for drug recommendation
Classification of gene expression patterns using a novel type-2 fuzzy multigranulation-based SVM model for the recognition of cancer mediating biomarkers
Gated multimodal networks
Self-adaptive extreme learning machine
Iterative 3D feature enhancement network for pancreas segmentation from CT images
Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry
End-to-end variational graph clustering with local structural preservation
Improved deep convolutional neural network-based COOT optimization for multimodal disease risk prediction
Difference rewards policy gradients
The Modular Construction of Dynamic Nets
On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategies
Document-level multi-task learning approach based on coreference-aware dynamic heterogeneous graph network for event extraction
Classification of pleasant and unpleasant odor imagery EEG signals
Optimizing a two-level closed-loop supply chain under the vendor managed inventory contract and learning: Fibonacci, GA, IWO, MFO algorithms
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances
A novel recommendation system via L0-regularized convex optimization
An investigation on m-polar fuzzy tolerance graph and its application
SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time
Average reward adjusted discounted reinforcement learning
Dual attention granularity network for vehicle re-identification
Design of an efficient neural network model for detection and classification of phase loss faults for three-phase induction motor
Prediction of Particlulate Air Pollution using Neural Techniques
Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks
Automatic no-reference speech quality assessment with convolutional neural networks
Network characteristics for neighborhood field algorithms
CondenseNet with exclusive lasso regularization
Enhancing facial expression recognition in uncontrolled environment: a lightweight CNN approach with pre-processing
Experiential Explanations for Reinforcement Learning
The Generation of Animated Motion by Means of a Recurrent Neural Network
Deeper multi-column dilated convolutional network for congested crowd understanding
Globally stable adaptive robust tracking control using RBF neural networks as feedforward compensators
Loss prediction of mountain flood disaster in villages and towns based on rough set RBF neural network
Unsupervised optical flow estimation method based on transformer and occlusion compensation
Prediction of daily average seawater temperature using data-driven and deep learning algorithms
A parallel hybrid approach integrating clonal selection with artificial bee colony for logistic regression in spam email detection
Face recognition under varying illumination
Robust 3D point clouds classification based on declarative defenders
Comparative performance of wavelet-based neural network approaches
Exploring online intelligent teaching method with machine learning and SVM algorithm
An automatic improved facial expression recognition for masked faces
An overview, examples, and impacts offered by Emerging Services and Analytics in Cloud Computing virtual reality
A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network
Insight into breast cancer detection: new hybrid feature selection method
Forecasting tourist arrivals using dual decomposition strategy and an improved fuzzy time series method
Joint learning of error-correcting output codes and dichotomizers from data
Sparse coding predicts optic flow specificities of zebrafish pretectal neurons
Machine learning-based classification of cardiac diseases from PCG recorded heart sounds
Hybridization of harmony search with hill climbing for highly constrained nurse rostering problem
Obstacle avoidance for a robotic navigation aid using Fuzzy Logic Controller-Optimal Reciprocal Collision Avoidance (FLC-ORCA)
Consensus of second-order multi-agent systems with nonlinear dynamics and time delays
A globally convergent learning algorithm for PCA neural networks
A new co-learning method in spatial complex fuzzy inference systems for change detection from satellite images
The design of an affordable fault-tolerant control system of the brushless DC motor for an active waist exoskeleton
A highly densed deep neural architecture for classification of the multi-organs in fetal ultrasound scans
Event-triggered self-learning-based tracking control for nonlinear constrained-input systems with uncertain disturbances
Sustainability-based optimization of dissimilar friction stir welding parameters in terms of energy saving, product quality, and cost-effectiveness
A hierarchical local-model tree for predicting roof displacement in longwall tailgates
A hybrid artificial intelligence solution approach to aftercare for cancer patients
Predicting cardiovascular events with deep learning approach in the context of the internet of things
A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
A multi-stage particle swarm for optimum design of truss structures
Semi-supervised one-pass multi-view learning
Optimizing and interpreting the latent space of the conditional text-to-image GANs
ICA-based speed control of induction motor fed by wind turbine
Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization
TSCL-FHFN: two-stage contrastive learning and feature hierarchical fusion network for multimodal sentiment analysis
T2RFIS: type-2 regression-based fuzzy inference system
MADM and assessment of pilot health projects based on spherical fuzzy information
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis
A hybrid meta-heuristic algorithm for VM scheduling with load balancing in cloud computing
QAM equalization and symbol detection in OFDM systems using extreme learning machine
Supplier selection and purchase problem for multi-echelon defective supply chain system with stochastic demand
A fuzzy approach for multi criteria decision making in diet plan ranking system using cuckoo optimization
Deep Refinement: capsule network with attention mechanism-based system for text classification
Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming
Aesthetical criterion in art and science
Sign language recognition via dimensional global-local shift and cross-scale aggregation
Adaptive resource allocation in 5G CP-OFDM systems using Markovian model-based reinforcement learning algorithm
One novel class of Bézier smooth semi-supervised support vector machines for classification
Retraction Note: Scale invariant point feature (SIPF) for 3D point clouds and 3D multi-scale object detection
Data-driven Koopman fractional order PID control of a MEMS gyroscope using bat algorithm
Intelligent fault diagnosis of rolling bearings based on LSTM with large margin nearest neighbor algorithm
Rotation-invariant features based on directional coding for texture classification
Automated heart disease prediction using improved explainable learning-based technique
Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID
A novel statistical approach to numerical and multidisciplinary design optimization problems using pattern search inspired Harris hawks optimizer
A modified ELM algorithm for the prediction of silicon content in hot metal
Multimodal multi-objective optimization based on local optimal neighborhood crowding distance differential evolution algorithm
A parallel NAW-DBLSTM algorithm on Spark for traffic flow forecasting
Regional land planning based on BPNN and space mining technology
A novel sagittal craniosynostosis classification system based on multi-view learning algorithm
A consensus model for group decision making under trapezoidal fuzzy numbers environment
Pyramidal neural networks with evolved variable receptive fields
Multiplicative neuron model artificial neural network based on Gaussian activation function
Optimal feature selection using distance-based discrete firefly algorithm with mutual information criterion
AutoFCL: automatically tuning fully connected layers for handling small dataset
Event-triggered observer-based T-S fuzzy dynamic positioning fault-tolerant control for unmanned surface vehicle
Deep convolutional neural network designed for age assessment based on orthopantomography data
Robust affect analysis using committee of deep convolutional neural networks
A multi-source feature extraction network for salient object detection
Universal technique for optimization of neural network training parameters: gasoline near infrared data example
Sensorless control application of PMSM with a novel adaptation mechanism
Weighted linear embedding: utilizing local and nonlocal information sufficiently
Rotating flow of viscoelastic fluid with nonlinear thermal radiation: a numerical study
An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD
Multi-output incremental back-propagation
Advancing mental health detection in texts via multi-task learning with soft-parameter sharing transformers
Safety diagnosis of TBM for tunnel excavation and its effect on engineering
Genetic algorithms in mesh optimization for visualization and finite element models
Coconut trees classification based on height, inclination, and orientation using MIN-SVM algorithm
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics
Pore type identification in carbonate rocks using convolutional neural network based on acoustic logging data
Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification
Offset-free neural network-based nonlinear model predictive controller design using parameter adaptation
Optimization of the grapes reception process
Optimization of friction stir welding process using NSGA-II and DEMO
Sequential Row-Column 2DPCA for face recognition
Convergence Properties of Cascade Correlation in Function Approximation
VLCI approach for optimal capacitors allocation in distribution networks based on hybrid PSOGSA optimization algorithm
Performance of evolutionary wavelet neural networks in acrobot control tasks
Probabilistic approaches for music similarity using restricted Boltzmann machines
MCI-GAN: a novel GAN with identity blocks inspired by menstrual cycle behavior for missing pixel imputation
Support vector set selection using pulse-coupled neural networks
Deep neural network-based clustering technique for secure IIoT
Failure prognostics of heavy vehicle hydro-pneumatic spring based on novel degradation feature and support vector regression
Fuzzy deep learning-based crop yield prediction model for sustainable agronomical frameworks
PL-Net: towards deep learning-based localization for underwater terrain
A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
Feature ranking and best feature subset using mutual information
Comparing the efficiency of recurrent neural networks to EMG-based continuous estimation of the elbow angle
A survey on 1-bit quantized large language models
Holistic and partial facial features fusion by binary particle swarm optimization
Drill flank wear estimation using supervised vector quantization neural networks
A novel emergency situation awareness machine learning approach to assess flood disaster risk based on Chinese Weibo
Lightweight network research for robotic visual grasp for deep space exploration
Automated diagnosis of schistosomiasis by using faster R-CNN for egg detection in microscopy images prepared by the Kato-Katz technique
Exploring resource management for innovation power network based on deep learning algorithm
A new outranking method for multicriteria decision making with complex Pythagorean fuzzy information
New hybrid GR6J-wavelet-based genetic algorithm-artificial neural network (GR6J-WGANN) conceptual-data-driven model approaches for daily rainfall-runoff modelling
Cognition2Vocation: meta-learning via ConvNets and continuous transformers
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics
Neighborhood preserving D-optimal design for active learning and its application to terrain classification
A parametric likelihood measure with beta distributions for Pythagorean fuzzy decision-making
Research on information steganography based on network data stream