yusuke1997/dblp-id-title huggingface dataset:
A twin-level feature synthesis and long-term coherence framework for multi-object animal tracking in outdoor farm environments
A feature selection method for author identification in interactive communications based on supervised learning and language typicality
Deferred correction neural network techniques for solving ordinary differential equations
A multi-criteria decision-making method based on discrete Z-numbers and Aczel-Alsina aggregation operators and its application on early diagnosis of depression
Hybrid biogeography-based evolutionary algorithms
A new multi-object tracking algorithm based on Sparse Detection Transformer
A conditional-weight joint relevance metric for feature relevancy term
A partial domain adaptation scheme based on weighted adversarial nets with improved CBAM for fault diagnosis of wind turbine gearbox
A survey on legged robots: Advances, technologies and applications
Neural network-driven predictive control and fractional-order nonlinear filter optimization for helicopter active vibration control
Learning Bayesian networks with heterogeneous agronomic data sets via mixed-effect models and hierarchical clustering
Roach infestation optimization with friendship centers
Soft computing-based active vibration control of a flexible structure
QANA: Quantum-based avian navigation optimizer algorithm
Deep reinforcement learning for optimal design of compliant mechanisms based on digitized cell structures
Building a multi-class Short Message Service dataset for smishing detection using agglomerative clustering and dataset fusion
A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems
A two-stage evidence fusion underwater target recognition method based on Multivariate Variational Mode Decomposition feature optimization and conflict handling
Prediction of viscosity of MWCNT-Al2O3 (20:80)/SAE40 nano-lubricant using multi-layer artificial neural network (MLP-ANN) modeling
Handling disruptions in manufacturing systems: An immune perspective
Semantic-based approach for route determination and ontologyupdating
Decentralized multi-agent multi-armed bandits for smart electric vehicles charging
A framework for photovoltaic power forecasting based on hybrid data reconstruction, neural network models fusion, and multi-objective optimization
On the use of a domain-specific modeling language in the development of multiagent systems
HSNet: Crowd counting via hierarchical scale calibration and spatial attention
A local search algorithm with movement gap and adaptive configuration checking for the maximum weighted s-plex problem
Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm
Batch reinforcement learning approach using recursive feature elimination for network intrusion detection
A hybrid Gaussian mutation PSO with search space reduction and its application to intelligent selection of piston seal grooves for homemade pneumatic cylinders
An immune plasma algorithm with a modified treatment schema for UCAV path planning
An immune-based multi-agent system for flexible job shop scheduling problem in dynamic and multi-objective environments
Time consideration in machine learning models for train comfort prediction using LSTM networks
Joint prediction of multi-aircraft trajectories in terminal airspace: A Flight Pattern-Guided Social Long-Short Term Memory network
Soft actor-critic enhanced nonsingular terminal synergetic control for serial manipulators with quantized input and state
A dual-stream recurrence-attention network with global-local awareness for emotion recognition in textual dialog
Transformer-based moving target tracking method for Unmanned Aerial Vehicle
Robust EMRAN-aided coupled controller for autonomous vehicles
A residual learning-based grey system model and its applications in Electricity Transformer's Seasonal oil temperature forecasting
Development of an industry-applicable two-phase flow regime identification approach using flow-induced vibration acceleration signals
Genetic algorithms for feature selection of image analysis-based quality monitoring model: An application to an iron mine
An attention-guided multi-scale feature cascade network for underwater fish counting
Picture fuzzy time series: Defining, modeling and creating a new forecasting method
A multi-attribute quantum group consensus model considering psychological preference
A dynamic constraint satisfaction approach for configuring structural products under mass customization
Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach
Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN
Multi-stages attention breast cancer classification based on nonlinear spiking neural P neurons with autapses
Multilevel and holonic model for dynamic holarchy management: Application to large-scale road traffic
An integrated outranking technique with spherical fuzzy rough numbers for the treatment of cadmium-contaminated water problem in China
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
Resource-constrained edge-based deep learning for real-time person-identification using foot-pad
A robust zero-shot framework based on adaptive illumination perception and trichromatic calibration for extreme low-light image enhancement
Ensemble learning for large-scale crowd flow prediction
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression
Novel α-divergence measures on picture fuzzy sets and interval-valued picture fuzzy sets with diverse applications
Semi-supervised non-negative matrix tri-factorization with adaptive neighbors and block-diagonal learning
Spatiotemporal networks for ENSO forecasting with LICOM3 and remote sensing data
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder
A latent-coupled neural network for multiphysics long-term forecasting in reactor transients using sparse observations
Vector attention-based point cloud network for semantic segmentation of sewer sonar data
Genetic programming based blind image deconvolution for surveillancesystems
Collaborative planning and control of heterogeneous multi-ground unmanned platforms
Multi-level domain adaptation for improved generalization in electroencephalogram-based driver fatigue detection
Design of Mamdani fuzzy logic controllers with rule base minimisation using genetic algorithm
A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion
Combinative distance-based assessment method using linguistic T-spherical fuzzy aggregation operators and its application to multi-attribute group decision-making
Efficient transformer tracking with multi-axis mixed attention
The heterogeneous vehicle routing problem with time windows and a limited number of resources
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing
Data-driven multi-objective optimization with neural network-based sensitivity analysis for semiconductor devices
Semantic graph neural network with multi-measure learning for semi-supervised classification
Integrating physics-based simulations, machine learning, and Bayesian inference for accurate detection and metrology of elongated nanoscale analytes using high-frequency capacitance spectroscopy
A reinforcement learning based computational intelligence approach for binary optimization problems: The case of the set-union knapsack problem
Efficient intelligent quality detection of pistachios using multi-view deep learning
A novel dynamic distance coding identification method for oil-gas gathering and transportation process
Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine
Compact representation for memory-efficient storage of images using genetic algorithm-guided key pixel selection
Saliency and correlation learning for co-salient object detection
Attention based network for real-time road drivable area, lane line detection and scene identification
Fuzzy constraint prioritization to solve heavily constrained problems with the genetic algorithm
Motion parameters measurement of user-defined key points using 3D pose estimation
An innovative approach to parasite classification in biomedical imaging using neural networks
A regulated boosting technique for material fatigue property prognostics
DSRS: DELIGHT sequential recommender system
A channel-independent network based on wavelet enhancement for long-term time series forecasting
A novel multiclass-based framework for P300 detection in BCI matrix speller: Temporal EEG patterns of non-target trials vary based on their position to previous target stimuli
Integrating neural networks and spark for cloud security: A unified dataset approach to network intrusion detection
Complex object detection using deep proposal mechanism
Thermal modeling of power transformers using evolving fuzzy systems
ANN-based estimator for distillation using Levenberg-Marquardt approach
Leakage localization methodology based on dynamic pressure signal for subsea pipeline
A novel time-power based grey model for nonlinear time series forecasting
A hierarchical system of on-line advisory for monitoring and controlling the depth of anaesthesia using self-organizing fuzzy logic
Emotional neural networks with universal approximation property for stable direct adaptive nonlinear control systems
A novel ensemble learning framework based on a genetic algorithm for the classification of pneumonia
Comparing multiobjective swarm intelligence metaheuristics for DNA motif discovery
Evaluation of Detrended Fluctuation Analysis applied to audio signals from drum cymbals in different machine learning classification contexts
Deep deterministic policy gradient based multi-UAV control for moving convoy tracking
Decision confidence-based multi-level support vector machines
Bending analysis of cantilever microbeams with three porosity distributions using physics-informed neural network and modified couple stress theory
A machine learning driven multiple criteria decision analysis using LS-SVM feature elimination: Sustainability performance assessment with incomplete data
Generalized predictive control using improved recurrent fuzzy neural network for a boiler-turbine unit
A novel Boosted-neural network ensemble for modeling multi-target regression problems
Efficient large-scale face clustering using an online Mixture of Gaussians
Towards collaborative fair federated distillation
An adaptive memetic Particle Swarm Optimization algorithm for finding large-scale Latin hypercube designs
Multivariable self-organizing fuzzy logic control using dynamic performance index and linguistic compensators
Self-information and prediction mask enhanced blind inpainting network for dunhuang murals
Span-based sliding window feature extraction and label knowledge for few-shot Named Entity Recognition
Manifold based map representation for mobile robot using Euclidean data difference dimension reduction
Cooperative neural networks for inverse design: Integrating denoising autoencoder and surrogate model for partial design variable imputation
Bi-Objective predictive modelling and optimization in micro-electrical discharge machining process using an artificially intelligent system
Shapelet and Graph Convolutional Network with transformer for Channel Access Attacks classification
WCAL: Weighted and center-aware adaptation learning for partial domain adaptation
Mechanism-driven and data-driven fusion prediction of seismic damage evolution of concrete structures based on cooperative multi-particle swarm optimization
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation
Load balancing and neural dynamic model to optimize replicator dynamics controllers for vibration reduction of highway bridge structures
Evolutionary multi-criteria trajectory modeling of industrial robots in the presence of obstacles
Graph-based framework for temporal human action recognition and segmentation in industrial context
Chimney detection and size estimation from high-resolution optical satellite imagery using deep learning models
Transformer based lifetime interval prediction for dynamic operating proton exchange membrane fuel cells
A benchmarking framework for eye-tracking-based vigilance prediction of vessel traffic controllers
Automatic contour correction of pectus excavatum using computer-aided diagnosis and convolutional neural network
Weak saliency ensemble network for person Re-identification using infrared light images
A hypergraph-based dual-path multi-agent trajectory prediction model with topology inferring
Diabetes risk assessment model based on unbalanced public health examination data
LMES: A localized multi-estimator model to estimate software development effort
A behavior three-way decision approach under interval-valued triangular fuzzy numbers with application to the selection of additive manufacturing composites
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete
ASFusion: Adaptive visual enhancement and structural patch decomposition for infrared and visible image fusion
Online monitoring of weld cross-sectional shape using optical emission spectroscopy and neural network during laser dissimilar welding
Application of new training methods for neural model reference control
Multi-objective PSO semi-supervised random forest method for dioxin soft sensor
Framework for real-time multimodal container transport risk management
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
Design reuse in the conceptual schema of CMSs: A pattern-based evaluation approach
A federated transfer learning approach for surface electromyographic hand gesture recognition with emphasis on privacy preservation
Neural network modeling of torque estimation and d-q transformation for induction machine
Adaptive fuzzy control of a non-linear servo-drive: Theory and experimental results
Evidential framework for robust localization using raw GNSS data
Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data
Geometrically interpretable Variance Hyper Rectangle learning for pattern classification
Corrigendum to "An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction" [Eng. Appl. Artif. Intell. 138 (2024) 109389]
Wavelet-based multi-resolution analysis and artificial neural networks for forecasting temperature and thermal power consumption
Multi-objective optimization with fuzzy measures and its application to flow-shop scheduling
Training recurrent neural networks by using parallel tabu search algorithm based on crossover operation
Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting
A multi-objective algorithm for optimization of modern machining processes
A novel discrete evidence fusion approach by considering the consistency of belief structures
Adaptive goal recognition using process mining techniques
Deep spectral clustering network for incomplete multi-view clustering
A comparative study of methods for measuring node influence in complex networks
Robot navigation via spatial and temporal coherent semantic maps
SANE 2.0: System for fine grained named entity typing on textual data
Deliveries optimization by exploiting production traceability information
Efficient city supply chain management through spherical fuzzy dynamic multistage decision analysis
Harnessing deep reinforcement learning algorithms for image categorization: A multi algorithm approach
Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights
Fluid viscosity prediction leveraging computer vision and robot interaction
Short-term wind power prediction framework using numerical weather predictions and residual convolutional long short-term memory attention network
A hierarchical integration scheduling method for flexible job shop with green lot splitting
Real-time path planning for unmanned aerial vehicles in complex three-dimensional dynamic environments using an enhanced fuzzy neural fluid dynamical system
Nonlinear system identification with regularized local FIR model networks
A hybrid deep learning and evolutionary framework for energy-aware interior augmentation via photorealistic visual illusions
Towards efficient stream monitoring: A systematic approach for model selection and continuous improvement in Tiny Machine Learning applications
Polygon decomposition for obstacle representation in motion planning with Model Predictive Control
Discrete-time inverse optimal neural control for synchronous generators
Iterated variable neighborhood search for the capacitated clustering problem
Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems
Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation
Probability of failure for uncertain control systems using neural networks and multi-objective uniform-diversity genetic algorithms (MUGA)
Optimal trajectory-tracking guidance for reusable launch vehicle based on adaptive dynamic programming
Fast source term estimation using the PGA-NM hybrid method
A win-win team formation problem based on the negotiation
A tabu search based memetic algorithm for the maximum diversity problem
Lightweight distributed deep learning on compressive measurements for internet of things
Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning
Adaptive prediction of Rate of Penetration while oil-well drilling: A Hoeffding tree based approach
A dual-method approach using autoencoders and transductive learning for remaining useful life estimation
An explainable artificial-intelligence-aided safety factor prediction of road embankments
Prediction of maximum impact displacement of reinforced concrete columns based on interpretable machine learning
A unified rotating machinery health management framework leveraging large language models for diverse components, conditions, and tasks
MFCANN: A feature diversification framework based on local and global attention for human activity recognition
Elastic net twin support vector machine with Universum data and its safe screening rule
Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm
Linguistic description of the human gait quality
Optimal experiment design based on local model networks and multilayer perceptron networks
Machine learning of syntactic parse trees for search and classification of text
A lightweight citrus detection and counting method based on deep learning model
A two-layer aggregation model with effective consistency for large-scale Gaussian process regression
STDDAE: Identifying spatial domains in spatial transcriptomics by dual denoising autoencoder with attention mechanism
WIGNN: An adaptive graph-structured reasoning model for credit default prediction
A novel bat algorithm with double mutation operators and its application to low-velocity impact localization problem
Multi-task driver gaze estimation in real world driving scenes
Design of cough sound classifiers based on attention mechanism and contrastive loss for detection of coronavirus disease 2019
Diversity Controlled Self Adaptive Differential Evolution based design of non-fragile multivariable PI controller
DTaxa: An actor-critic for automatic taxonomy induction
Blending traditional and novel techniques: Hybrid type-1 fuzzy functions for forecasting
Real time regulation of efficient driving of high speed trains based on a genetic algorithm and a fuzzy model of manual driving
Adaptive space transformation: An invariant based method for predicting aerodynamic coefficients of hypersonic vehicles
Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with the Dombi extended power aggregation operator and its application in intelligent transportation system data collection scheme selection
Causality-inspired surface defect detection by transferring knowledge from natural images
Exploiting long-term markovian feature importance via dual attention for partially-connected differential architecture search
Multi-scale motion-based relational reasoning for group activity recognition
Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework
A comparative study of deep learning and Internet of Things for precision agriculture
Hierarchical querying scheme of human motions for smart home environment
A novel process-based KMS success framework empowered by ontology learning technology
Ensemble insights: Unlocking the recombination losses in perovskite solar cells using stacked classifier
Forest fire object detection based on multi-task model and extreme weather simulation algorithm
The appropriation of blockchain implementation in the supply chain of SMES based on fuzzy LMAW
Modeling and Analysis of Students' Performance Trajectories using Diffusion Maps and Kernel Two-Sample Tests
Data-driven fault monitoring of parallel flow thermal exchanger under wide-span operation using deep learning
ASPD-Net: Self-aligned part mask for improving text-based person re-identification with adversarial representation learning
Graph-aware pre-trained language model for political sentiment analysis in Filipino social media
A universal parameter-efficient fine-tuning approach for stereo image super-resolution
Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis
An information-aggregated multiple-criteria design evaluation method by exploring reliability, fuzziness and divergence from uncertain linguistic preferences
Switching TS fuzzy model-based dynamic sliding mode observer design for non-differentiable nonlinear systems
A multi-agent system for distributed multi-project scheduling: An auction-based negotiation approach
Smart reception: An artificial intelligence driven bangla language based receptionist system employing speech, speaker, and face recognition for automating reception services
Intuitionistic time series fuzzy inference system
One-time password authentication scheme based on the negative database
Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering
Corrigendum to "Image-text sentiment analysis based on hierarchical interaction fusion and contrast learning enhanced" [Eng. Appl. Artific. Intellig. 146 (2025) 110262]
Real time adaptive nonlinear model inversion control of a twin rotor MIMO system using neural networks
Multivariate formulation to predict the frictional strength of fiber reinforced soils using gene expression programming
Determining the superiority of a robust cloud fault tolerance mechanism using a spherical cubic fuzzy set-based decision approach
Corrigendum to "Synchronization of uncertain chaotic systems based on adaptive type-2 fuzzy sliding mode control" [Engineering Applications of Artificial Intelligence 24 (2011) 39-49]
An optimal allocation method for power distribution network partitions based on improved spectral clustering algorithm
Underwater acoustic target detection with imbalanced dataset based on deep Q-network with dual termination criterion
A direction-aware and expert-inspired network for internal crack size detection using on-site ground penetrating radar data