yusuke1997/dblp-id-title huggingface dataset:
Structural-optimized sequential deep learning methods for surface soil moisture forecasting, case study Quebec, Canada
Multi-scale kernel Fisher discriminant analysis with adaptive neuro-fuzzy inference system (ANFIS) in fault detection and diagnosis framework for chemical process systems
CTAUNet: Improved retinal blood vessel segmentation with collaborative transformer attention U-Net
Reinforcement learning-based decision support system for an agile humanitarian relief chain
A deep learning method for motor fault diagnosis based on a capsule network with gate-structure dilated convolutions
Adaptive noise-reducing anisotropic diffusion filter
Deep learning approaches for real-time image super-resolution
A new view of fuzzy ideals in \Upgamma-rings
Leader-following consensus of nonlinear multi-agent systems with switching topologies and unreliable communications
An adaptive regeneration framework based on search space adjustment for differential evolution
Optimization and system implementation of fuzzy integrated algorithm model for logistics supply chain under supply and demand uncertainty background
Align vision-language semantics by multi-task learning for multi-modal summarization
Artificial neural network to characterize spatially varying quantity through random field approach
Advances and applications in inverse reinforcement learning: a comprehensive review
Finite-time average consensus of directed second-order multi-agent systems with Markovian switching topology and impulsive disturbance
Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system
Can we learn anything from single-channel unaveraged MEG data?
Improving healthcare outcomes using multimedia big data analytics
Semi-parametric training of autoencoders with Gaussian kernel smoothed topology learning neural networks
Overflow warning and remote monitoring technology based on improved random forest
Parameter selection for long short-term memory networks with multi-criteria decision-making tools: an application for G7 countries stock market forecasting
STTG-TTE: spatial-temporal gated multi-modality approach for travel time estimation based on temporal convolutional networks
Forecasting vehicular traffic flow using MLP and LSTM
Optimizing auditory brainstem response detection through NSGA-II guided feature selection
A transfer-learning-based robust technique for multi-type fault detection and classification using Hilbert-Huang transform in low-voltage power distribution grids
Crowd density estimation based on classification activation map and patch density level
Statistical modelling and parametric optimization in document fragmentation
Improving embedding learning by virtual attribute decoupling for text-based person search
A deep learning analysis on question classification task using Word2vec representations
This time with feeling: learning expressive musical performance
Enhancing IoT security through boosting and feature reduction techniques for multiclass intrusion detection
Gesture recognition based on sEMG using multi-attention mechanism for remote control
Vietnamese real estate corporations' performance using the hybrid model of data envelopment analysis and grey system theory
Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization
Forecasting stock returns based on information transmission across global markets using support vector machines
Application of artificial bee colony algorithm in feature optimization for motor imagery EEG classification
Optimal energy planning of multi-microgrids at stochastic nature of load demand and renewable energy resources using a modified Capuchin Search Algorithm
RESC: REfine the SCore with adaptive transformer head for end-to-end object detection
A new approach in road sign recognition based on fast fractal coding
Hybrid memristor/RTD structure-based cellular neural networks with applications in image processing
The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine
Contrastive-based YOLOv7 for personal protective equipment detection
Artificial intelligence simulation of suspended sediment load with different membership functions of ANFIS
A novel diagnosis system for Parkinson's disease using complex-valued artificial neural network with k-means clustering feature weighting method
Bounded robust control of nonlinear systems using neural network-based HJB solution
Deliberation on object-aware video style transfer network with long-short temporal and depth-consistent constraints
Assessment of machine learning models to predict daily streamflow in a semiarid river catchment
Convergence analysis on time scales for HOBAM neural networks in the Stepanov-like weighted pseudo almost automorphic space
Condition diagnosis of multiple bearings using adaptive operator probabilities in genetic algorithms and back propagation neural networks
Soot emission prediction of a waste-gated turbo-charged DI diesel engine using artificial neural network
An improved semantic segmentation with region proposal network for cardiac defect interpretation
Fundamentals of artificial metaplasticity in radial basis function networks for breast cancer classification
An experimental demonstration of hybrid fuzzy-fuzzy space-vector control on AC variable speed drives
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
FedLRes: enhancing lung cancer detection using federated learning with convolution neural network (ResNet50)
Introducing the Hyperdynamic Adaptive Learning Fusion (HALF) model for superior predictive analytics in E-learning
A multi-target corner pooling-based neural network for vehicle detection
Optimization of hybrid active power filters using dynamic fitness-distance balance-based metaheuristic approach
ViT-DtC: vision transformer-based design-to-code framework for code generation from generated UI designs and hand-drawn sketches
Retraction Note: Tabu search-based classification for eye-movement behavioral decisions
A restart local search algorithm for solving maximum set k-covering problem
Enhancing knowledge-aware recommendation with a cross-view contrastive learning
Stability and existence of periodic solutions in inertial BAM neural networks with time delay
Deep learning for named entity recognition: a survey
A robust image watermarking scheme using Arnold transform and BP neural network
CoG-Trans: coupled graph convolutional transformer for multi-label classification of cherry defects
Applying a novel decision rule to the sphere-structured support vector machines algorithm
Nature-inspired optimization techniques for cardiovascular disease detection: a comprehensive survey
Hybrid PSO feature selection-based association classification approach for breast cancer detection
Age and gender classification using brain-computer interface
Investigation of surface roughness in the milling of Al7075 and open-cell SiC foam composite and optimization of machining parameters
Automated ECG multi-class classification system based on combining deep learning features with HRV and ECG measures
FLRED: an efficient fuzzy logic based network congestion control method
Evaluating the quality of visual explanations on chest X-ray images for thorax diseases classification
A novel error-output recurrent neural network model for time series forecasting
Boxelder Bug Search Optimization: a novel reliable tool for optimizing engineering problems through bio-inspired ecology of Boxelder bugs
Multi-scale deep learning ensemble for segmentation of endometriotic lesions
Effects of the number of hidden nodes used in a structured-based neural network on the reliability of image classification
A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism
AFA: adversarial frequency alignment for domain generalized lung nodule detection
Utilization of big data classification models in digitally enhanced optical coherence tomography for medical diagnostics
Computer-aided diagnosis of breast cancer using bi-dimensional empirical mode decomposition
An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames
Using machine learning techniques for the classification of ultra-low concentrations of cannabis in biological fluids
Global quantitative robustness of regression feed-forward neural networks
Mental imagery classification using one-dimensional convolutional neural network for target selection in single-channel BCI-controlled mobile robot
Forecasting of Turkey's monthly electricity demand by seasonal artificial neural network
Partly adaptive elastic net and its application to microarray classification
A proposal for Internet of Smart Home Things based on BCI system to aid patients with amyotrophic lateral sclerosis
A study of generalized fuzzy ideals in ordered semigroups
Learning sparse partial differential equations for vector-valued images
Hierarchical deep learning model for tooth classification in intra-oral dental photographs
Combinatorial time series forecasting based on clustering algorithms and neural networks
Utilizing learning process to improve recommender system for group learning support
Cryptanalysis of a new EPC class-1 generation-2 standard compliant RFID protocol
Hierarchical optimization of personalized experiences for e-Learning systems through evolutionary models
Classification of calcified regions in atherosclerotic lesions of the carotid artery in computed tomography angiography images
Parameters identification and discharge capacity prediction of Nickel-Metal Hydride battery based on modified fuzzy c-regression models
Adaptive pseudo-label threshold for source-free domain adaptation
Construction of prediction model of neural network railway bulk cargo floating price based on random forest regression algorithm
Generating prediction clustering graph network analysis data from masked time series with GANs
Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG
Optimal design of load frequency active disturbance rejection control via double-chains quantum genetic algorithm
Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters
A new e-learning achievement evaluation model based on RBF-NN and similarity filter
An efficient chaotic image encryption scheme
Multi-objective reinforcement learning for designing ethical multi-agent environments
Gaussian random fuzzy and nature-inspired neural networks: a novel approach to Brent oil price prediction
Spatio-temporal neural network with handcrafted features for skeleton-based action recognition
A novel approach to accelerate the convergence speed of a stochastic multi-agent system using recurrent neural nets
DEGAS: differentiable efficient generator search
Adaptive virtual-inertia control and chicken swarm optimizer for frequency stability in power-grids penetrated by renewable energy sources
Evolutionary study on mobile cloud computing
Novel utterance data augmentation for intent classification using large language models
Investigation of ANN architecture for predicting residual strength of clay soil
State estimation in coupled neural networks with delays via changeable pinning control
Use of SOMs for footwear comfort evaluation
Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography
Determination of color changes of inks on the uncoated paper with the offset printing during drying using artificial neural networks
A new sparse representation-based classification algorithm using iterative class elimination
Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling
TileGAN: category-oriented attention-based high-quality tiled clothes generation from dressed person
Multiple neural networks for a long term time series forecast
Hierarchical conversation flow transition and reasoning for conversational machine comprehension
A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems
An improved meta-heuristic method to maximize the penetration of distributed generation in radial distribution networks
Transfer learning-based EEG analysis of visual attention and working memory on motor cortex for BCI
Hermite-based texture feature extraction for classification of humeral head in proton density-weighted MR images
Deep learning models for forecasting aviation demand time series
Feature selection with MCP $$^2$$ 2 regularization
Building a knowledge graph by using cross-lingual transfer method and distributed MinIE algorithm on apache spark
Neural network rule extraction for gaining insight into the characteristics of poverty
A hybrid method based on krill herd and quantum-behaved particle swarm optimization
DDC: distance-based decision classifier
Face recognition based on an improved center symmetric local binary pattern
Two meta-heuristic algorithms for two-echelon location-routing problem with vehicle fleet capacity and maximum route length constraints
Special issue on 2020 international conference on machine learning and big data analytics for IoT security and privacy (SPIoT-2020)
Adaptive fuzzy command filtered control for incommensurate fractional-order MIMO nonlinear systems with input saturation
Hierarchical attentive Siamese network for real-time visual tracking
Geo-SPS: bipartite graph representation for GeoSpatial prenatal survey data
Knowledge Acquisition using A Neural Network for A Weather Forecasting Knowledge-based System
Precise pose and assembly detection of generic tubular joints based on partial scan data
SKG-Learning: a deep learning model for sentiment knowledge graph construction in social networks
Intrusion detection using deep sparse auto-encoder and self-taught learning
Achieving a More Robust Neural Network Model for Control of a MR Damper by Signal Sensitivity Analysis
Lessons learned from longitudinal modeling of mobile-equipped visitors in a complex museum
Neural network and multi-objective optimization of confined flow characteristics on circular cylinder in standing double vortex region
Deep reinforcement learning-based robust nonlinear controller for photovoltaic systems
Saliency: a new selection criterion of important architectures in neural architecture search
Comparison of SFS and mRMR for oximetry feature selection in obstructive sleep apnea detection
Forecasting stock market volatility using social media sentiment analysis
Fuzzy two-dimensional local graph embedding discriminant analysis (F2DLGEDA) with its application to face and palm biometrics
Indirect P&O type-2 fuzzy-based adaptive step MPPT for proton exchange membrane fuel cell
On the role of astrocyte analog circuit in neural frequency adaptation
A bargaining game model for performance assessment in network DEA considering sub-networks: a real case study in banking
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer
An efficient local search for partial vertex cover problem
The method of solution of equations with coefficients that contain measurement errors, using artificial neural network
Radial basis function neural network-based face recognition using firefly algorithm
End-to-end acceleration of the YOLO object detection framework on FPGA-only devices
Frequency-amplitude coupling: a new approach for decoding of attended features in covert visual attention task
Retraction Note: ANN-based MPPT algorithm for solar PMSM drive system fed by direct-connected PV array
Posture positioning estimation for players based on attention mechanism and hierarchical context
Adaptive NN prescribed performance control for nonlinear systems with output dead zone
Enhancing text understanding of decoder-based model by leveraging parameter-efficient fine-tuning method
Sparse margin-based discriminant analysis for feature extraction
A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm
Unsteady flow of hybrid nanofluid over a permeable shrinking inclined rotating disk with radiation and velocity slip effects
Time-variant quadratic programming solving by using finitely-activated RNN models with exact settling time
Smoothing and stationarity enforcement framework for deep learning time-series forecasting
A hybrid artificial neural network - mechanistic model for centrifugal compressor
Neural network models for breast cancer prognosis
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models
Prediction analytics of myocardial infarction through model-driven deep deterministic learning
Supervised classification of spam emails with natural language stylometry
Pattern classification with missing data: a review
System of fully fuzzy nonlinear equations with fuzzy neural network
Graph self-supervised long-tail item augmentation for recommendation
Plane-Gaussian artificial neural network
Crowdsourcing service requirement oriented requirement pattern elicitation method
Local-aware spatio-temporal attention network with multi-stage feature fusion for human action recognition
Tuberculosis (TB) detection system using deep neural networks
Intelligent computing and simulation in seismic mitigation efficiency analysis for the variable friction coefficient RFPS structure system
Analysis of optimized signal processing algorithms for smart antenna system
Anatomy-based organization of morphology and control in self-reconfigurable modular robots
Privacy preserving distributed training of neural networks
Design of momentum LMS adaptive strategy for parameter estimation of Hammerstein controlled autoregressive systems
Evolutionary boundary constraint handling scheme
Memetic quantum evolution algorithm for global optimization
Skeleton-based Tai Chi action segmentation using trajectory primitives and content
Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: the case of Lagocephalus sceleratus
A walk in the black-box: 3D visualization of large neural networks in virtual reality
Balanced simplicity-accuracy neural network model families for system identification
Direct sequence estimation: a functional network approach
Bidirectional feedback of optimized gaussian mixture model and kernel correlation filter for enhancing simple detection of small pixel vehicles
Multiple attribute group decision-making method based on neutrosophic number generalized hybrid weighted averaging operator
An overview on nonparallel hyperplane support vector machine algorithms
A maneuvering target tracking based on fastIMM-extended Viterbi algorithm
Probabilistic models-based intrusion detection using sequence characteristics in control system communication
An island parallel Harris hawks optimization algorithm
A spectral-textural kernel-based classification method of remotely sensed images
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data
Design cost minimization of a reinforced concrete column section using overnew swarm-based optimization algorithms
Application of streaming analytics for Artificial Lift systems: a human-in-the-loop approach for analysing clustered time-series data from progressive cavity pumps
A self-training automatic infant-cry detector
Improved prediction of software defects using ensemble machine learning techniques
Predicting breast cancer treatment response using transfer learning
A mathematical model of MHD nanofluid flow having gyrotactic microorganisms with thermal radiation and chemical reaction effects
Quantum-behaved bat algorithm for many-objective combined economic emission dispatch problem using cubic criterion function
When attention is not enough to unveil a text's author profile: Enhancing a transformer with a wide branch
A heuristic optimization method inspired by wolf preying behavior
Multi-objective flower pollination algorithm: a new technique for EEG signal denoising
Editorial for Volume 13 Issue 1
Comparative analysis of urban underground public space and user walking paths based on the social network model
An effective system for parameter optimization in photolithography process of a LGP stamper
A novel adaptive model predictive controller for load frequency control of power systems integrated with DFIG wind turbines
An experimental study: using categorical or fuzzy inputs for classification problems with dimensionality reduction
Retraction Note: Research on mining collaborative behaviour patterns of dynamic supply chain network from the perspective of big data
Do as you teach: a multi-teacher approach to self-play in deep reinforcement learning
Expression dynamic capture and 3D animation generation method based on deep learning
Toward intelligent transient stability enhancement in inverter-based microgrids
Deep determination of cardiac condition from phonocardiograms
An adversarial semi-supervised approach for action recognition from pose information
On the evaluation of generative models in music
Backstepping generalized synchronization for neural network with delays based on tracing control method
Memristor-based circuit implementation of Competitive Neural Network based on online unsupervised Hebbian learning rule for pattern recognition
Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate
Robust penalized extreme learning machine regression with applications in wind speed forecasting
Attention mechanism in neural networks: where it comes and where it goes
Deep-learning-based data-manipulation attack resilient supervisory backup protection of transmission lines
Virtual neural networks: hundreds of souls in a body
Subdata image encryption scheme based on compressive sensing and vector quantization
Intelligent employment rate prediction model based on a neural computing framework and human-computer interaction platform
Generalization potential of large language models
Enhancement of OMI aerosol optical depth data assimilation using artificial neural network
A Hopfield neural network approach for power optimization of real-time operating systems
Data mining-based integrated network traffic visualization framework for threat detection
Improving combination method of NCL experts using gating network
Structural damage detection using finite element model updating with evolutionary algorithms: a survey
Exploring machine learning models for assessing energy dissipation on inclined gabion drops
Chaotic metaheuristic algorithms for learning and reproduction of robot motion trajectories
A novel double incremental learning algorithm for time series prediction
Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search-least squares support vector regression
Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games
A deep learning-based CNN-GRU prediction model for early fault diagnosis in rolling ball bearings
Evaluation of correlation methods applying neural networks
Median line location problem with positive and negative weights and Euclidean norm
Robust handcrafted features for music genre classification
Fault isolation in manufacturing systems based on learning algorithm and fuzzy rule selection
Hybrid generative-discriminative hash tracking with spatio-temporal contextual cues
Gravitation balanced multiple kernel learning for imbalanced classification
Computational-based biomarkers for mental and emotional health
E-mail classification with machine learning and word embeddings for improved customer support
EPMC: efficient parallel memory compression in deep neural network training
Discriminative reward co-training
A self-organizing incremental neural network for imbalance learning
An artificial neural network model for predicting the CO2 reactivity of carbon anodes used in the primary aluminum production
Predicting piezometric water level in dams via artificial neural networks