yusuke1997/dblp-id-title huggingface dataset:
A novel trapezoidal intuitionistic fuzzy information axiom approach: An application to multicriteria landfill site selection
Joint class attention knowledge and self-knowledge for multi-teacher knowledge distillation
A lightweight RGB superposition effect adjustment network for low-light image enhancement and denoising
Enhancing online industrial quality index prediction with a general deep temporal feature extraction and incremental ensemble modeling framework
A review of generative and non-generative adversarial attack on context-rich images
Intelligent exogenous networks with Bayesian distributed backpropagation for nonlinear single delay brain electrical activity rhythms in Parkinson's disease system
Active diversification of head-class features in bilateral-expert models for enhanced tail-class optimization in long-tailed classification
Differential out-of-distribution error guidance for unknown bearing fault diagnosis with conditional diffusion model
Blood supply chain network design with lateral freight: A robust possibilistic optimization model
Concept drift adaptation with scarce labels: A novel approach based on diffusion and adversarial learning
A Deep Q-Network-driven multi-objective evolutionary algorithm for distributed heterogeneous hybrid flow shop scheduling with worker fatigue
A decision-making model with new Dice-Jaccard similarity measure: Green hydrogen electrolyzer selection
Search-based task and motion planning for hybrid systems: Agile autonomous vehicles
Design of a dedicated parallel processor for the prediction of forest fire spreading using cellular automata and genetic algorithms
One test to predict them all: Rheological characterization of complex fluids via artificial neural network
Label confidence-based noise correction for crowdsourcing
Review of resampling techniques for the treatment of imbalanced industrial data classification in equipment condition monitoring
LAACNet: Lightweight adaptive activation convolution network-based defect detection on polished metal surfaces
Multi-attribute decision-making with extended VlseKriterijuska Optimizacija I Komoromisno Resenje method based on generalized Fermatean probabilistic hesitant fuzzy distance measure and cross-entropy
A tool-supported development method for improved BDI plan selection
Noise reduction for near-infrared spectroscopy data using extreme learning machines
Thick gradual intervals: An alternative interpretation of type-2 fuzzy intervals and its potential use in type-2 fuzzy computations
A hybrid complex spectral conjugate gradient learning algorithm for complex-valued data processing
Advancing automatic photovoltaic defect detection using semi-supervised semantic segmentation of electroluminescence images
SIRN: An iterative reasoning network for transmission lines based on scene prior knowledge
Reinforcement learning compensated coordination control of multiple mobile manipulators for tight cooperation
Efficient probability-oriented feature matching using wide field-of-view imaging
Comparative study of a newly proposed machine learning classification to detect damage occurrence in structures
Matheuristic and learning-oriented multi-objective artificial bee colony algorithm for energy-aware flexible assembly job shop scheduling problem
A novel domain generalization framework for fault diagnosis of rotating machinery based on causal representation learning and causal feature identification
A review on time series data mining
Purifying real images with an attention-guided style transfer network for gaze estimation
Personalised healthcare and exercise rehabilitation based on upper-limb metrics
A mamba-quantum attention transformer-convolutional network for automated pest and disease detection
Automatic classification of circulating blood cell clusters based on multi-channel flow cytometry imaging
Sustainable management of polyethylene terephthalate waste flow using a fuzzy frank weighted assessment model
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function
Octree-based localization using RGB-D data for indoor robots
A graph-based knowledge distillation framework for drug repurposing via multi-task learning
A 3D-CAE-CNN model for Deep Representation Learning of 3D images
Artificial emotion-assisted data and modeling dual-drive methods for voltage control in renewable energy enriched grids
Study on the deformation mode domain of shrink energy-absorbing structures based on curve feature classification method
Embedding-based entity alignment between multi-source temporal knowledge graphs
Two-phase genetic algorithm for topology optimization of free-form steel space-frame roof structures with complex curvatures
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines
Particle swarm optimization based fuzzy gain scheduled subspace predictive control
Interpretable interval prediction of dam displacement based on variational autoencoder and improved temporal fusion transformer considering solar radiation effects
Reinforcement learning for energy efficiency improvement in UAV-BS access networks: A knowledge transfer scheme
Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints
Bearing fault diagnosis for variable working conditions via lightweight transformer and homogeneous generalized contrastive learning with inter-class repulsive discriminant
2C2S: A two-channel and two-stream transformer based framework for offline signature verification
Collaborative filtering recommendations based on multi-factor random walks
Electricity consumption prediction based on a dynamic decomposition-denoising-ensemble approach
U-HPAUSM: Mining high probability average utility sequences in uncertain quantitative sequential databases
A novel condition monitoring approach using hybrid lightweighted adaptive models for complex machinery
Real time adaptive PID controller based on quantum neural network for nonlinear systems
Regression loss-assisted conditional style generative adversarial network for virtual sample generation with small data in soft sensing
Offshore wind power multi-step forecasting based on multi-scale attention mechanism fusion network
A morphological neural network for binary classification problems
Leveraging cutting-edge technologies into energy management smart buildings: An era of revolution
A novel time-lagged logistic grey model and its application in forecasting energy production volume
Pythagorean fuzzy information measure with applications in multi-criteria decision-making and medical diagnosis
Reconstruction and localization of moving load on deck structures based on attention mechanism-based multi-modal fusion and bidirectional gated recurrent unit
Extraction of evolutionary factors in smart manufacturing systems with heterogeneous product preferences and trust levels
Stimulating trust cooperation in edge services: An evolutionary tripartite game
CorNet: A deep learning method based on physics-guided and attention mechanism for predicting flow field of coronary arterial tree
MBGAN: An improved generative adversarial network with multi-head self-attention and bidirectional RNN for time series imputation
Learning-driven lossy image compression: A comprehensive survey
Unsupervised damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach
Revolutionizing sustainable supply chain management: A review of metaheuristics
Type-2 fuzzy logic empowered trajectory prediction for wireless sensor networks
A SVM-based approach to microwave breast cancer detection
Predictive human operator model to be utilized as a controller using linear, neuro-fuzzy and fuzzy-ARX modeling techniques
A feasibility study of machine learning-based model predictive control for commercial buildings in cooling season
A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA)
Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions
Secure Federated Dataset Distillation
Parameterized-action based deep reinforcement learning for intelligent traffic signal control
In-situ bioremediation for petroleum contamination: A fuzzy rule-based model predictive control system
Data-driven fault prediction and anomaly measurement for complex systems using support vector probability density estimation
A new method for impulsive noise suppression from highly distorted images by using Anfis
A fair consensus adjustment mechanism for large-scale group decision making in term of Gini coefficient
A knowledge-driven co-evolutionary algorithm assisted by cross-regional interactive learning
TransCNN: Hybrid CNN and transformer mechanism for surveillance anomaly detection
Differential evolution algorithm for the selection of optimal scaling factors in image watermarking
Study of stochastic sequence-dependent flexible flow shop via developing a dispatching rule and a hybrid GA
Label noise correction for crowdsourcing using dynamic resampling
The composite fuzzy reliability index of power systems
Automated crack measurement in slab tracks using deformable instance segmentation and boundary augmentation with unsupervised style transfer
Intelligent fault diagnosis of nonlinear uncertain industrial processes based on kernel local-global interval embedding algorithm
Knowledge graph reasoning: Mainstream methods, applications and prospects
Exploring You Only Look Once v8 and v9 for efficient airplane detection in very high resolution remote sensing imagery
Two-dimensional temperature field prediction with in-situ data in metal additive manufacturing using physics-informed neural networks
A dynamic spatial distributed information clustering method for aluminum electrolysis cell
Short-range air combat maneuver decision of UAV swarm based on multi-agent Transformer introducing virtual objects
Method of Locating Loose Particles Inside Aerospace Equipment Based on Parameter-optimized XGBoost
An Optimum-Path Forest framework for intrusion detection in computer networks
A synthetic minority oversampling method with Elastic Net Hypergraph
Transformer based network for Open Information Extraction
Online defect detection method for resistance spot welding based on multi-source information fusion network
Neural network-based guaranteed performance sliding mode security control of nonlinear cyber-physical systems
A deep reinforcement learning-based cooperative approach for multi-intersection traffic signal control
EnsembleNet model: A hybrid approach for classifying Gossypium Herbaceum leaf diseases using image feature analysis
Deep reinforcement learning-PID based supervisor control method for indirect-contact heat transfer processes in energy systems
Infant cry classification via deep learning based Infant cry networks using Discrete Stockwell Transform
Facial feature fusion convolutional neural network for driver fatigue detection
Low-light image segmentation using sine-curve enhancement and cross-resolution attention mechanism
Hesitant t-spherical fuzzy linear regression model based decision making approach using gradient descent method
Learning robust brain tumor segmentation under label corruption and data scarcity
A cosmetic packaging design method based on online reviews
Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
Post-design analysis for building and refining AI planning systems
Application and comparison of computational intelligence techniques for optimal location and parameter setting of UPFC
Competitive dual-students using bi-level contrastive learning for semi-supervised medical image segmentation
Groundwater parameters estimation: A hybrid approach of convolutional layers with asynchronous and distributed bio-inspired algorithms
An innovative optimization strategy based on Mamba and generative adversarial networks for efficient and high-performance multimodal image fusion
A modified Takagi-Sugeno-Kang neuro-fuzzy network in estimation of shortage faults location and resistance on transmission lines
Fast clonal algorithm
A dynamic graph convolutional network-based framework for the unsteady operating states recognition of multi-product pipeline systems
Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis
Multi-colour sketch-based image retrieval with an explicable feature embedding
Corrigendum to "Automated skills assessment in open surgery: A scoping review" [Eng. Appl. Artif. Intellig. 153 (2025) 110893]
Enhancing design of asphalt mixture structural networks through explainable machine learning techniques
A heterogeneous graph attention-enhanced deep reinforcement learning framework for flexible job shop scheduling problem with variable sublots
Forecasting personal heat strain under extremely hot environments: Utilizing feature importance in machine learning
A production inventory model with fuzzy production and demand using fuzzy differential equation: An interval compared genetic algorithm approach
A multi-Layered neural control framework: Combining central pattern generators utilizing muscle synergy Theory and incorporating proprioceptors
Self-supervised contrastive representation learning for classifying Internet of Things malware
An active vibration absorber of smart panel by using a decomposed parallel fuzzy control structure
Real-time deterministic chaos control by means of selected evolutionary techniques
Dimensionality reduction of rolling bearing fault data based on graph-embedded semi-supervised deep auto-encoders
A study of project scheduling optimization using Tabu Search algorithm
Implementation of genetic algorithm in an embedded microcontroller-based polarization control system
Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming
Global frequency-aware multi-scale feature learning for point cloud normal estimation
Tracking of multiple cells with ant pheromone field evolution
Random error sampling-based recurrent neural network architecture optimization
An SEI3R information propagation control algorithm with structural hole and high influential infected nodes in social networks
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process
A Multi-sensor Cross scale Time-Frequency Network for intelligent gear fault diagnosis in noisy environment
Online diagnosis of weak welds in busbar laser welding based on photoelectric signals and machine learning
Rule training by score-based supervised contrastive learning for sketch explanation
Pulling the carpet below the learner's feet: Genetic algorithm to learn ensemble machine learning model during concept drift
Robust air/fuel ratio control with adaptive DRNN model and AD tuning
Automated skills assessment in open surgery: A scoping review
Human in the loop active learning for time-series electrical measurement data
Performance enhancement of extreme learning machine for multi-category sparse data classification problems
Comprehensive fault diagnosis of lithium-ion batteries: An innovative approach based on hybrid coding and genetic search
Using transformer and a reweighting technique to develop a remaining useful life estimation method for turbofan engines
A new consensus method for group decision making based on mixed adjustment
An oscillation based simulated annealing algorithm for the single row facility layout problem
A deep encoder-decoder for surrogate modelling of liquid moulding of composites
Optimization of neural network using kidney-inspired algorithm with control of filtration rate and chaotic map for real-world rainfall forecasting
Time-adaptive support vector data description for nonstationary process monitoring
KalmanTNet - hybrid-driven Kalman filter for trajectory filtering
Multi-BP expert system for fault diagnosis of powersystem
Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source
State of The Art-Intense Review on Artificial Intelligence Systems Application in Process Planning and Manufacturing
Multi-objective optimization of lightweight and crashworthiness of automotive front-end structures based on stacked regression surrogate
Adaptive dynamic surface control with Nussbaum gain for course-keeping of ships
On-line free-flight path optimization based on improved genetic algorithms
Surface roughness prediction in turning processes for grey cast iron: A hybrid machine learning approach integrating infrared thermography
An automatic machine vision-based algorithm for inspection of hardwood flooring defects during manufacturing
Intrusion detection in web applications using text mining
A lightweight deep learning framework for wild berry detection in complex natural environments
Learning human inverse kinematics solutions for redundant robotic upper-limb rehabilitation
KerMinSVM for imbalanced datasets with a case study on arabic comics classification
A circular intuitionistic fuzzy evaluation method based on distances from the average solution to support multiple criteria intelligent decisions involving uncertainty
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis
Maximum mutual information regularized classification
Machine learning predicted thermodynamic properties of halocarbon- and hydrocarbon-based refrigerants
Analysis and comparison of iterative learning control schemes
G-LFFN: A Global-Local Feature Fusion Network Leveraging Transformer-Encoder and Contrastive Learning for Multimodal Sentiment Analysis
A rolling bearing fault diagnosis framework under variable working conditions considers dynamic feature extraction
Large language model-based planning agent with generative memory strengthens performance in textualized world
Differentially private 1R classification algorithm using artificial bee colony and differential evolution
A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization
Manifold assistant multi-modal multi-objective differential evolution algorithm and its application in actual rolling bearing fault diagnosis
Analysis of migration models of biogeography-based optimization using Markov theory
Parametric generative schemes with geometric constraints for encoding and synthesizing airfoils
Beyond boundaries: Advancements in fire and smoke detection for indoor and outdoor surveillance feeds
Secure industrial federated learning: Label encryption for model protection
Generation rescheduling using ANN-based computation of parameter sensitivities of the voltage stability margin
Multi-phase trajectory optimization for an aerial-aquatic vehicle considering the influence of navigation error
A multilevel interleaved group attention-based convolutional network for gas detection via an electronic nose system
Modelling preferences in multi-objective engineering design
Learning-based padding: From connectivity on data borders to data padding
An enhanced failure mode and effect analysis method based on preference disaggregation in risk analysis of intelligent wearable medical devices
The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: A critical review
Short-term trajectory prediction for individual metro passengers based on multi-level periodicity mining from semantic trajectory
Advanced deep learning-based methodology for multi-class diagnosis of wind turbine blade faults at the wind farm level
Diagnosis of hepatocellular carcinoma using deep network with multi-view enhanced patterns mined in contrast-enhanced ultrasound data
An intelligent framework for estimating grade and quantity of tropical fruits in a multi-modal latent representation network
A hybrid intelligent model based on recurrent neural networks and excitable dynamics for price prediction in deregulated electricity market
A novel multi-criteria decision making method for assessing health-care waste treatment technologies based on D numbers
A semantic-aware transfer learning framework via natural language processing to predict the cross-material bond strength of composite bars with limited data
Spatial-temporal intention representation with multi-agent reinforcement learning for unmanned surface vehicles strategies learning in asset guarding task
Constrained path-following control for an airship with uncertainties
A novel approach in constructing virtual real driving emission trips through genetic algorithm optimization
A cooperative memetic algorithm for energy-aware distributed welding shop scheduling problem
An undersampling method for software defect prediction based on Hilbert curve mapping distance
Editorial: Metaheuristics for sustainable supply chain management
Minutiae-based palm photo recognition using deep neural networks
Improving collaborative recommender system using hybrid clustering and optimized singular value decomposition
Multiple incipient fault diagnosis in three-phase electrical systems using multivariate statistical signal processing
Graph convolutional network combining node similarity association and layer attention for personalized recommendation
An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources
Toward improved surveillance of Aedes aegypti breeding grounds through artificially augmented data
A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis
A new hybrid prediction model of COVID-19 daily new case data
Towards fusing gaze estimation and object prediction: What are you looking at?
DSNet: A dynamic squeeze network for real-time weld seam image segmentation
Discriminative sparse embedding based on adaptive graph for dimension reduction
Dynamic personalized graph neural network with linear complexity for multivariate time series forecasting
Supervised kernel approach for automated learning using General Stochastic Networks
Vehicle spacing control using robust fuzzy control with pole placement in LMI region
Unsupervised video forecasting with flow parsing mechanism of human visual system
A temporal cross-contrastive self-supervised learning framework for high-speed train bearing fault diagnosis: addressing limited labeling and speed variability
Growth threshold for pseudo labeling and pseudo label dropout for semi-supervised medical image classification
Prototype selection to improve monotonic nearest neighbor
Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network
Equalization of ultrasonic transducers based on evolutionary algorithm and IIR lattice filter
Decoding text from electroencephalography signals: A novel Hierarchical Gated Recurrent Unit with Masked Residual Attention Mechanism
A co-evolutionary algorithm based on sparsity clustering for sparse large-scale multi-objective optimization
TSPCS-net: Two-stage pavement crack segmentation network based on encoder-decoder architecture
Occluded person re-identification in multi-scenarios: A Synergistic Interaction Framework with Perception-Aware Optimization
Highly imbalanced fault classification of wind turbines using data resampling and hybrid ensemble method approach
Inter-country trade similarity graph-based long short-term memory for port throughput prediction
An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images
Event-triggered impulsive control for stability of stochastic delayed complex networks under deception attacks
Unmasking colorectal cancer: A high-performance semantic network for polyp and surgical instrument segmentation
alpha-resolution method for a lattice-valued first-order logic
Efficient prediction for Blast Furnace Gas holder level using novel preprocessing techniques and weight correction strategy