yusuke1997/dblp-id-title huggingface dataset:
Comparison of extreme learning machine and deep learning model in the estimation of the fresh properties of hybrid fiber-reinforced SCC
An improved feed-forward neural network based on UKF and strong tracking filtering to establish energy consumption model for aluminum electrolysis process
Neural network optimized with evolutionary computing technique for solving the 2-dimensional Bratu problem
A new framework for early diagnosis of breast cancer using mammography images
Automatic detection of sleep-disordered breathing events using recurrent neural networks from an electrocardiogram signal
Determining the gender wage gap through causal inference and machine learning models: evidence from Chile
An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology
An automatic evaluation metric for Ancient-Modern Chinese translation
A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation
Novel fixed-time stability criteria of nonlinear systems and applications in fuzzy competitive neural network and Chua's oscillator
Denoising of piecewise constant signal based on total variation
Chaos control of a bounded 4D chaotic system
A real-time Arabic avatar for deaf-mute community using attention mechanism
Fast nonsingular terminal sliding mode control for permanent-magnet linear motor via ELM
Plant species identification based on modified local discriminant projection
Prediction of Road Traffic using a Neural Network Approach
Attention-based spatial-temporal graph transformer for traffic flow forecasting
Time series clustering based on sparse subspace clustering algorithm and its application to daily box-office data analysis
Financial hedging in energy market by cross-learning machines
A CNN-LSTM-based fault classifier and locator for underground cables
Unsupervised video-based action recognition using two-stream generative adversarial network
Estimation of rail capacity using regression and neural network
VireNet-SSD: object detection model for resource-constrained applications based on self-organized operational neural networks
Semi-supervised learning for MALDI-TOF mass spectrometry data classification: an application in the salmon industry
Evolution of the size distribution of Al-B4C nano-composite powders during mechanical milling: a comparison of experimental results with artificial neural networks and multiple linear regression models
Design of backtracking search heuristics for parameter estimation of power signals
Volterra NN-based behavioral model for new wireless communications devices
Node influence-based label propagation algorithm for semi-supervised learning
A generic and lightweight security mechanism for detecting malicious behavior in the uncertain Internet of Things using fuzzy logic- and fog-based approach
Regularized online tensor factorization for sparse knowledge graph embeddings
Energy management strategy based on short-term resource scheduling of a renewable energy-based microgrid in the presence of electric vehicles using θ-modified krill herd algorithm
Single-column CNN for crowd counting with pixel-wise attention mechanism
A novel sparse representation method based on virtual samples for face recognition
Deep reinforcement learning of passenger behavior in multimodal journey planning with proportional fairness
Hybrid two-level protection system for preserving pre-trained DNN models ownership
Minimal weighted infrequent itemset mining-based outlier detection approach on uncertain data stream
Predicting academic performance of students in Chinese-foreign cooperation in running schools with graph convolutional network
An efficient two-stage water cycle algorithm for complex reliability-based design optimization problems
Reduced soft matrices and generalized products with applications in decision making
All-in-one picture: visual summary of items in a recommender system
Nonlinear single-input single-output model-based estimation of cardiac output for normal and depressed cases
Character-based handwritten text transcription with attention networks
Fecal coliform predictive model using genetic algorithm-based radial basis function neural networks (GA-RBFNNs)
A different perspective on the diagnosis of COVID-19 disease with the developed quadstar local binary pattern method
A deep neural network-based model for named entity recognition for Hindi language
Cross-domain few-shot learning based on feature adaptive distillation
Deep Bayesian Self-Training
Dual dimensionality reduction on instance-level and feature-level for multi-label data
A new hand-modeled learning framework for driving fatigue detection using EEG signals
A Comparative Study of Pattern Recognition Algorithms for Classification of Ultrasonic Signals
Conditional image-to-image translation generative adversarial network (cGAN) for fabric defect data augmentation
Asymptotic tracking control of uncertain nonholonomic wheeled mobile robot with actuator saturation and external disturbances
Adaptive radio map reconstruction via adversarial wireless fingerprint learning
An enhanced SSD with feature fusion and visual reasoning for object detection
GAN-Poser: an improvised bidirectional GAN model for human motion prediction
Wavelet twin support vector machine
Applying a general regression neural network for predicting development effort of short-scale programs
A structure distinguishable graph attention network for knowledge base completion
Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions
Cooperative learning control of uncertain nonholonomic wheeled mobile robots with state constraints
The extreme learning machine learning algorithm with tunable activation function
Correction: Prediction of monthly groundwater level using a new hybrid intelligent approach in the Tabriz plain, Iran
Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns
Probabilistic neural network for breast cancer classification
Assessment of critical buckling load of functionally graded plates using artificial neural network modeling
New finite-time synchronization of memristive Cohen-Grossberg neural network with reaction-diffusion term based on time-varying delay
Support vector machine for fault diagnosis of the broken rotor bars of squirrel-cage induction motor
Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing
An efficient and portable solar cell defect detection system
Choosing Feature Sets for Training and Testing Self-Organising Maps: A Case Study
Deep learning-based facial emotion recognition for human-computer interaction applications
A distant supervision method based on paradigmatic relations for learning word embeddings
Arabic sign language continuous sentences recognition using PCNN and graph matching
Parkinson classification neural network with mass algorithm for processing speech signals
Analysis and forecasting of IPO underpricing
Online multi-agent deep reinforcement learning platform for distributed real-time dynamic control of power systems
Pixel attention convolutional network for image super-resolution
A parsimonious SVM model selection criterion for classification of real-world data sets via an adaptive population-based algorithm
Potcapsnet: an explainable pyramid dilated capsule network for visualization of blight diseases
Neural group recommendation based on a probabilistic semantic aggregation
An adaptive variance vector-based evolutionary algorithm for large scale multi-objective optimization
Guiding evolutionary algorithms with large language models to learn fuzzy cognitive maps
Emergency lane vehicle detection and classification method based on logistic regression and a deep convolutional network
Evaluation of rural financial ecological environment based on machine learning and improved neural network
GP-PSENet: a group-related dilated and a parallel extensional dilation-wise residual encoder for scene text detection
Enhancing LSB embedding schemes using chaotic maps systems
Low-density noise removal based on lambda multi-diagonal matrix filter for binary image
Fused features mining for depth-based hand gesture recognition to classify blind human communication
DeNNeS: deep embedded neural network expert system for detecting cyber attacks
Contextual anomaly detection on time series: a case study of metro ridership analysis
A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model
Novel applications of m-polar fuzzy competition graphs in decision support system
Research of stacked denoising sparse autoencoder
Fast deep learning with tight frame wavelets
Detection of brain space-occupying lesions using quantum machine learning
Fast overlap removal for location-related representation elements
A robust multi-objective humanitarian relief chain network design for earthquake response, with evacuation assumption under uncertainties
3D radial invariant of dual Hahn moments
A novel energy-based online sequential extreme learning machine to detect anomalies over real-time data streams
Characterizations of hemirings by (∈, ∈ ∨ q)-fuzzy ideals
Determination of sample size and design of final product control plan based on product types
Incremental deep learning for reflectivity data recognition in stomatology
Intuitionistic fuzzy divergence measure-based multi-criteria decision-making method
Retraction Note: Tuberculosis (TB) detection system using deep neural networks
Building a smart lecture-recording system using MK-CPN network for heterogeneous data sources
Hybrid SCA-TLBO: a novel optimization algorithm for global optimization and visual tracking
Fixed-time synchronization of fractional-order complex-valued delayed neural networks with discontinuous activation functions
Optimization of FDM process parameters to minimize surface roughness with integrated artificial neural network model and symbiotic organism search
Fuzzy h -ideals in h -hemiregular and h -semisimple \Upgamma-hemirings
Unsupervised double weighted domain adaptation
A reinforcement learning-based communication topology in particle swarm optimization
Correction to: Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
Learning to communicate using a communication critic and counterfactual reasoning
Nonlinear ELM estimator-based path-following control for perturbed unmanned marine systems with prescribed performance
BERT's sentiment score for portfolio optimization: a fine-tuned view in Black and Litterman model
Multi-scale multi-block covariance descriptor with feature selection
Short-term traffic flow prediction based on improved wavelet neural network
Single and ensemble classifiers for defect prediction in sheet metal forming under variability
Multistep prediction for earthworks unloading duration: a fuzzy Att-Seq2Seq network with optimal partitioning and multi-time granularity modeling
Analysis of acceptable additive consistency and consensus of group decision making with interval-valued hesitant fuzzy preference relations
Toward reliable machine learning with Congruity: a quality measure based on formal concept analysis
Neural correlates of affective content: application to perceptual tagging of video
An efficient segmentation technique for Devanagari offline handwritten scripts using the Feedforward Neural Network
Query focused summarization via relevance distillation
A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets
Health stages diagnostics of underwater thruster using sound features with imbalanced dataset
Real-time brain extraction method from cerebral MRI volume based on graphic processing units
A real-time and high-precision method for small traffic-signs recognition
Parameter estimation of PEMFC model based on Harris Hawks' optimization and atom search optimization algorithms
Short range correlation transformer for occluded person re-identification
Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition
Retraction Note: Drug recommendation with minimal side effects based on direct and temporal symptoms
Real-time torque control using discrete-time recurrent high-order neural networks
Deep learning and supervised learning techniques for modeling and prediction of strength of ground granulated blast furnace slag based sustainable mortar
Integrating deep learning for accurate gastrointestinal cancer classification: a comprehensive analysis of MSI and MSS patterns using histopathology data
Spot-out fruit fly algorithm with simulated annealing optimized SVM for detecting tomato plant diseases
Special issue on Controlo2012: new applications of artificial neural networks in modeling and control
Normal vibration distribution search-based differential evolution algorithm for multimodal biomedical image registration
Toward precision cardiology: a transformer-based system for adaptive prediction of heart disease
An approach based on 1D fully convolutional network for continuous sign language recognition and labeling
Two novel interestingness measures for gene association rule mining
Determining ultimate bearing capacity of shallow foundations using a genetic programming system
Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management
Local excitation solutions in one-dimensional neural fields by external input stimuli
A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach
Real-time multiple object tracking using deep learning methods
Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis
ANN- and ANFIS-based multi-staged decision algorithm for the detection and diagnosis of bearing faults
A novel chaotic optimal foraging algorithm for unconstrained and constrained problems and its application in white blood cell segmentation
Dynamic response prediction of underwater explosive vessel based on LOO-XGBoost model
Diversity improvement in homogeneous ensemble feature selection: a case study of its impact on classification performance
Machine-learning-based top-view safety monitoring of ground workforce on complex industrial sites
Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma
Detection of phishing websites using an efficient feature-based machine learning framework
A novel complex-valued bat algorithm
Neural sliding-mode load frequency controller design of power systems
Comparing AI methods for forecasting polyester fabric tensile property
Extracting the contribution of independent variables in neural network models: a new approach to handle instability
Soft variable structure controller design for constrained systems based on S-class functions
Nonlinear feature selection using sparsity-promoted centroid-encoder
Learning efficient single stage pedestrian detection by squeeze-and-excitation network
Enhancing neural control systems by fuzzy logic and evolutionary reinforcement
Correction to: Sparse regressions and particle swarm optimization in training high-order Takagi-Sugeno fuzzy systems
The firefighter algorithm for optimization problems
Multiple object tracking based on appearance and motion graph convolutional neural networks with an explainer
Placement delivery array design for the coded caching scheme in medical data sharing
A novel fault diagnosis method for analog circuits with noise immunity and generalization ability
Unsupervised skeleton-based action representation learning via relation consistency pursuit
Proximal parametric-margin support vector classifier and its applications
Analysis of computational techniques for diabetes diagnosis using the combination of iris-based features and physiological parameters
Fuzzy control of an ANFIS model representing a nonlinear liquid-level system
Intelligent water resources management platform for precision irrigation agriculture based on Internet of things
Evaluation of fitness state of sports training based on self-organizing neural network
VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability
Dragonfly algorithm: a comprehensive review and applications
BinEHO: a new binary variant based on elephant herding optimization algorithm
Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress
Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world
Selective arguments representation with dual relation-aware network for video situation recognition
Affect-insensitive speaker recognition systems via emotional speech clustering using prosodic features
RBFN-based decentralized adaptive control of a class of large-scale non-affine nonlinear systems
A novel validation framework to enhance deep learning models in time-series forecasting
Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches
A new multi-sensor fire detection method based on LSTM networks with environmental information fusion
Learning a robust multiagent driving policy for traffic congestion reduction
Scour prediction downstream of an ogee weir using group method of data handling neural network
DB-NMS: improving non-maximum suppression with density-based clustering
Projection twin SMMs for 2d image data classification
A neurodynamic approach for asphalt mix ratio design problem
Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression
A real-time embedded drogue detection method based on lightweight convolution neural network for autonomous aerial refueling
Novel fractional-order Jacobi moments and invariant moments for pattern recognition applications
Capability to predict the steady and unsteady reduced aerodynamic forces on a square cylinder by ANN and GEP
Explainable energy consumption and speed prediction in sustainable cities using deep learning
Pattern-based image retrieval using GLCM
Stochastic stability analysis for neural networks with mixed time-varying delays
Rock strength estimation: a PSO-based BP approach
Multiple neural control and stabilization
Special issue on AI-based web information processing
Efficient financial time series prediction with evolutionary virtual data position exploration
An Offset Error Compensation Method for Improving ANN Accuracy when used for Position Control of Precision Machinery
DEDF: lightweight WSN distance estimation using RSSI data distribution-based fingerprinting
Metamorphic testing of deep neural network-based autonomous driving systems using behavioural domain adequacy
Self-organizing neural network-based clustering and organization of production cells
Web mining based on one-dimensional Kohonen's algorithm: analysis of social media websites
Neural network combining X-ray and ultrasound in breast examination
Single-image de-raining using low-rank matrix approximation
Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification
A fast pseudo-stochastic sequential cipher generator based on RBMs
CNN-based automatic detection of photovoltaic solar module anomalies in infrared images: a comparative study
Optimization of 5.5-GHz CMOS LNA parameters using firefly algorithm
Toward an action-granularity-oriented modularization strategy for complex mechanical products using a hybrid GGA-CGA method
Auto-encoding score distribution regression for action quality assessment
Evaluation of bagging ensemble method with time-domain feature extraction for diagnosing of arrhythmia beats
A best firework updating information guided adaptive fireworks algorithm
Morphological segmenting and neighborhood pixel-based locality preserving projection on brain fMRI dataset for semantic feature extraction: an affective computing study
Normal parameter reduction algorithm in soft set based on hybrid binary particle swarm and biogeography optimizer
Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction
An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application
An image encryption algorithm based on Fibonacci Q-matrix and genetic algorithm
Nonlinear Black Box Modelling - Fuzzy Networks versus Neural Networks
A streak detection approach for comprehensive two-dimensional gas chromatography based on image analysis
Learning to decode human emotions from event-related potentials
Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks
A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering
Using Single Layer Networks for Discrete, Sequential Data: An Example from Natural Language Processing
SSPSNet: a single shot panoptic segmentation network for accurate scene parsing
Integrating mutation scheme into monarch butterfly algorithm for global numerical optimization
Simulation of Quantification Abilities Using a Modular Neural Network Approach
Retraction Note: Deep learning model for home automation and energy reduction in a smart home environment platform
Application of Neuron MOS in multiple-valued logic
An intelligent identification and classification system for malicious uniform resource locators (URLs)
LMSVCR: novel effective method of semi-supervised multi-classification
Auditory brainstem response classification for threshold detection using estimated evoked potential data: comparison with ensemble averaged data
Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches
A learning method of immune multi-agent neural networks
Myoelectric arm using artificial neural networks to reduce cognitive load of the user
Wire and arc-based additive manufacturing of 316L SS: predicting and optimizing process variables using BRFFNN, NSGA-GP and TOPSIS approach
Knowledge transfer across different domain data with multiple views
Relation-wise transformer network and reinforcement learning for visual navigation
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system
Attention-based transformer model for Arabic image captioning
DualRW: a dual fusion network for rating quicksketch works
Intelligent compliant force/motion control of nonholonomic mobile manipulator working on the nonrigid surface
Performance comparison of neural architectures for on-line flux estimation in sensor-less vector-controlled IM drives
Quantitative extensions of reaction systems based on SOS semantics
Dual-attention network with multitask learning for multistep short-term speed prediction on expressways
A new comprehensive possibilistic group decision approach for resilient supplier selection with mean-variance-skewness-kurtosis and asymmetric information under interval-valued fuzzy uncertainty
U-Net skip-connection architectures for the automated counting of microplastics
Parametric estimation scheme for aircraft fuel consumption using machine learning
A hybrid approach for search and rescue using 3DCNN and PSO
Novel intuitionistic fuzzy soft multiple-attribute decision-making methods
A novel chaotic imperialist competitive algorithm for production and air transportation scheduling problems
Global asymptotic and exponential synchronization of ring neural network with reaction-diffusion term and unbounded delay
SP2LSTM: a patch learning-based electrical load forecasting for container terminal
Dual-head alternating attention-based adaptive convolutional framework for improving low-resource and imbalanced text classification
A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors
Nonparametric kernel smoother on topology learning neural networks for incremental and ensemble regression
Optimization of die design using metaheuristic methods in cold forward extrusion process