yusuke1997/dblp-id-title huggingface dataset:
A multi-scale feature fusion network based on semi-channel attention for seismic phase picking
Few-shot augmentation based on variational auto-generative adversarial network with moving losses: Application to the variable stiffness prediction in composites
An attribute difference revision method in case-based reasoning and its application
Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking
Dynamic localization based-utility decision approach under type-2 Pythagorean fuzzy set for developing internet of modular self-reconfiguration robot things
Multi-modal temporal action segmentation for manufacturing scenarios
New empirical equations to assess energy efficiency of flow-dissipating vortex dropshaft
BIGC-Net: A Body Inter-intra-parts Graph Convolutional Network for repetitive action counting
Graft : A graph based time series data mining framework
A novel Aczel-Alsina triangular norm-based group decision-making approach under dual hesitant q-rung orthopair fuzzy context for parcel lockers' location selection
Neural dynamic fluid reconstruction technique for four-dimensional imaging of combustion flame based on deep learning
Monte Carlo-based uncertainty estimation in end-to-end deep learning model for children and adolescents' dental age assessment
Multi-agent cooperative structural vibration control of three coupled flexible beams based on value decomposition network
An efficient unsupervised image quality metric with application for condition recognition in kiln
Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors
Multisensor data fusion approach for sediment assessment of sewers in operation
Improved differential evolution algorithm based on cooperative multi-population
Fuzzy soft deep deterministic policy gradient for distribution-static synchronous compensation of distribution networks
A hybrid rough aggregation approach for the selection of artificial intelligence-based industrial cleaning robots used in public spaces from the perspective of urban waste management
Introduction: Special issue on constraint satisfaction techniques for planning and scheduling problems
An efficient solution to the simple assembly line balancing problem type 1 using iterated local search
Internet-based remote supervision of industrial processes using self-organizing maps
A real-time parking service with proxy re-encryption in vehicular cloud computing
Machine learning for power outage prediction during hurricanes: An extensive review
Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories
Multi-criteria formulations with uncertain satisfactions
Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization
A speed and accuracy test of backpropagation and RBF neural networks for small-signal models of active devices
Hierarchical cluster ensemble selection
Hybrid EfficientNet feed forward neural network for ransomware detection in blockchain
Applying deep learning and automated machine learning for enhanced state monitoring and health assessment of high-pressure heater in thermal power units
A survey of deep learning-driven architecture for predictive maintenance
Exponential heterogeneous anti-synchronization of multi-variable discrete stochastic inertial neural networks with adaptive corrective parameter
Diffusion-based Wasserstein generative adversarial network for blood cell image augmentation
GMP-Net: Graph based Missing Part Patching Network for Point Cloud Completion
Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow
A new multi-objective evolutionary algorithm for citation-based summarization: Comprehensive analysis of the generated summaries
Mutual Information Guided Invertible Image Hiding Network
Personalized hierarchical heterogeneous federated learning for thermal comfort prediction in smart buildings
A novel multi-scale competitive network for fault diagnosis in rotating machinery
Neural network control of underwater vehicles
Hybrid method to automatically extract medical document tree structure
Multiple attribute group decision-making using p, q-quasirung orthopair fuzzy credibility sets: Application to data literacy evaluation of scientific researchers
A fruit fly-inspired path planning algorithm for unmanned aerial vehicle in underground environments based on low-discrepancy sequences
Contrastive decoupling global and local features for pavement crack detection
Prediction of anterior scoliotic spinal curve from trunk surface using support vector regression
FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling
Towards reliable uncertainty quantification via deep ensemble in multi-output regression task
Transfer learning-driven adaptive physics-informed neural networks acceleration method for aerodynamic identification
A lightweight deep learning network for the precise detection and classification of variable plankton
A neural-network based web application on real-time recognition of Pakistani sign language
A novel group decision-making method for incomplete interval-valued intuitionistic multiplicative linguistic preference relations
ADNet: Anti-noise dual-branch network for road defect detection
Constructing robust health indicators from complex engineered systems via anticausal learning
Adaptive and intelligent robot task planning for home service: A review
A comprehensive review of facial beauty prediction using deep learning techniques
Knowledge-based anomaly detection: Survey, challenges, and future directions
Introduction to the special issue on Intelligent Control and Optimisation
Neural network-based in-loop filter based on dual-branch collaborative architecture
A combined perspective self-supervised contrastive learning framework for human activity recognition integrating instance prediction and clustering
Plant leaf disease identification by parameter-efficient transformer with adapter
N-dimensional extension of unfold-PCA for granular systems monitoring
Novel continuous function prediction model using an improved Takagi-Sugeno fuzzy rule and its application based on chaotic time series
An efficient method for mining non-redundant sequential rules using attributed prefix-trees
Online learning compensation control of an electro-hydraulic shaking table using Echo State Networks
MixQuantBio: Towards extreme face and periocular recognition model compression with mixed-precision quantization
An efficient foreign object detection model based on Transformer for high-speed railway catenary
A reliable KNN filling approach for incomplete interval-valued data
Landslide displacement prediction with step-like curve based on convolutional neural network coupled with bi-directional gated recurrent unit optimized by attention mechanism
Decoupled Graph Spatial-Temporal Transformer Networks for traffic flow forecasting
A county-level prediction framework for wheat stripe rust using an improved spatio-temporal model
Self-supervised contrastive learning for implicit collaborative filtering
A data-driven method approach for prediction of coal seam gas content combining feature selection and machine learning
Defining and evaluating decision and composite risk in language models applied to natural language inference
Strategies for energy-efficient flow control leveraging deep reinforcement learning
Distributed data mining and agents
Deep reinforcement learning for dynamic scheduling in distributed heterogeneous flexible job shop with integrated inventory allocation and product delivery
A scientometric analysis of quantum driven innovations in intelligent transportation systems
Concepts for novelty detection and handling based on a case-based reasoning process scheme
A GRASP algorithm for a humanitarian relief transportation problem
Identification and validation of key predictive factors for heart attack diagnosis using machine learning and fuzzy clustering
Physics-informed surrogate for cardiovascular flow extrapolation through transductive learning
Safe event-triggered control of unmanned surface vehicles with Gaussian processes: Resilience in denial of service attacks and uncertain dynamics
PhysRFANet: Physics-guided neural network for real-time prediction of thermal effect during radiofrequency ablation treatment
Dynamic path planning for reconfigurable rovers using a multi-layered grid
A scalability analysis of a Multi-agent framework for solving combinatorial optimization via Metaheuristics
Corrigendum to "CARMEL: Capturing spatio-temporal correlations via time-series sub-window imaging for home appliance classification" [Eng. Appl. Artif. Intell. 127 (Part B) (2024) 107318]
Lane-changing decision modelling in congested traffic with a game theory-based decomposition algorithm
Anomaly detection in all-sky images: An approach using robust ensemble modeling of cloud cover fraction and prediction bounds
Coarse-to-fine dual-branch network for ship target recognition in complex environments
A Multi-Scale Sparse Channel Transformer Network for image reconstruction of astronomical bright source contamination
Prediction of the transition temperature of bent-core liquid crystals using fuzzy "digital thermometer" model based on artificial neural networks
Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes
The end-to-end chip surface defect segmentation method based on the diffusion model and attention mechanism
Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning
Temporal diffuser: Timing scale-aware modulation for sign language production
A cloud-based leakage current classified system for high voltage insulators with improved particle swarm optimization and hybrid deep learning technique
Remaining useful life prediction of machinery using federated public feature representation in edge-cloud collaboration architecture
Source term estimation of hazardous material releases using hybrid genetic algorithm with composite cost functions
TextTricker: Loss-based and gradient-based adversarial attacks on text classification models
UInDeSI4.0: An efficient Unsupervised Intrusion Detection System for network traffic flow in Industry 4.0 ecosystem
A search method for fractured-vuggy reservoir inter-well connectivity path based on multi-modal multi-agent
Predicting potential microbe-disease associations based on heterogeneous graph attention network and deep sparse autoencoder
Physical information-guided ensemble learning model for surface roughness prediction of galvannealed strip
Dynamic-balanced double-attention fusion for image captioning
WeedNet-X: A lightweight field weed detection algorithm
Adaptive meta-knowledge dictionary learning for incremental knowledge tracing
Hybrid invasive weed/biogeography-based optimization
Distributed multi-agent architecture for real-time wireless control networks of multiple plants
Sparse auto-encoder assisted data attack resilient protection scheme for cyber-physical microgrids based on identification of critical sensors
Learning Persian grammar with the aid of an intelligent feedback generator
LMDT: A weakly-supervised large-margin-domain-transfer for handwritten digit recognition
A novel model for the pavement distress segmentation based on multi-level attention DeepLabV3+
A safe screening rule for Laplacian support vector machine
Advancing seismic damage detection: Particle swarm-enhanced convolutional neural network weight optimization
A Dial-a-Ride evaluation for solving the job-shop with routing considerations
Multi-scale morphology-aided deep medical image segmentation
Local-global normality learning and discrepancy normalizing flow for unsupervised image anomaly detection
Unsupervised surface defect detection using dictionary-based sparse representation
Multi-stage feature aggregation transformer for image rain and haze joint removal
An adaptive large neighborhood search based approach for the vehicle routing problem with zone-based pricing
A simplex method-based social spider optimization algorithm for clustering analysis
Rank-based multimodal immune algorithm for many-objective optimization problems
HPDE: A dynamic Hierarchical Population based Differential Evolution with novel diversity metric
Enhancing glaucoma detection through multi-modal integration of retinal images and clinical biomarkers
Multi-attention recommender system for non-fungible tokens
fierClass : A multi-signal, cepstrum-based, time series classifier
Instance-based defense against adversarial attacks in Deep Reinforcement Learning
An improved Harmony Search Algorithm embedded with a novel piecewise opposition based learning algorithm
Scientific machine learning for generic compact model parameter extraction of nanoscale transistors
Optimal navigation for AGVs: A soft actor-critic-based reinforcement learning approach with composite auxiliary rewards
Keypoint-enhanced adaptive weighting model with effective frequency channel attention for driver action recognition
Coevolving and cooperating path planner for multiple unmanned air vehicles
Novel method and system for pattern recognition and processing using data encoded as Fourier series in Fourier space
A fine-tuning approach based on spatio-temporal features for few-shot video object detection
Multi-objective multi-path COVID-19 medical waste collection problem with type-2 fuzzy logic based risk using partial opposition-based weighted genetic algorithm
Hybrid model-based and data-driven disturbance prediction for precise quadrotor trajectory tracking
Self-Adjustable Neural Network for speech recognition
Prompt-based learning framework for zero-shot cross-lingual text classification
A multi-view consistency framework with semi-supervised domain adaptation
A novel purity-based k nearest neighbors imputation method and its application in financial distress prediction
A deep learning approach for scoring quality in vehicle grading
Non-repetitive motion planning for autonomous vehicles under perceptual uncertainty
Joint mutual information-based input variable selection for multivariate time series modeling
Fermatean fuzzy Archimedean Heronian Mean-Based Model for estimating sustainable urban transport solutions
Replacing complex transformer with simple attention to achieve hyperspectral and multispectral image fusion
Dynamic sequential transfer optimization for municipal solid waste incineration process under multiple operating conditions
Multi-order feature interaction-aware intrusion detection scheme for ensuring cyber security of intelligent connected vehicles
Methodology of neural modelling in fault detection with the use of chaos engineering
Physics-enhanced simulation-to-measurement translation for rolling bearing fault diagnosis under limited samples
A grey approach for forecasting in a supply chain during intermittentdisruptions
An integrated machine learning framework for the early diagnosis of hypertension disease
MpMsCFMA-Net: Multi-path Multi-scale Context Feature Mixup and Aggregation Network for medical image segmentation
An improved retrieval-augmented long-term grouting power prediction method: Rejecting low-similarity retrievals
An integrating spherical fuzzy AHP and axiomatic design approach and its application in human-machine interface design evaluation
Modeling of unstructured uncertainties and robust controlling of nonlinear dynamic systems based on type-2 fuzzy basis function networks
Runner system geometry prediction using variational autoencoder deep learning model
Similarity and entropy measures for circular intuitionistic fuzzy sets
Shape optimization of free-form steel space-frame roof structures with complex geometries using evolutionary computing
Virtual reference feedback tuning with robustness constraints: A swarm intelligence solution
Data-driven Floyd's algorithm with AirQo monitoring device for optimizing transportation routes in an uncertain environment
Optimizing resource and power consumption in a cloud environment via consolidation and placement investigation: A survey
Temperature decoupling control of double-level air flow field dynamic vacuum system based on neural network and prediction principle
Unmanned aerial vehicle remote sensing image registration based on an improved oriented FAST and rotated BRIEF- random sample consensus algorithm
Graph convolutional network for traffic incidents duration classification
Wildfire and smoke early detection for drone applications: A light-weight deep learning approach
A minimal contractor for the polar equation: Application to robot localization
Extracting and tracking hot topics of micro-blogs based on improved Latent Dirichlet Allocation
Evolvable characteristic-based pseudo random number generation
Finger-vein pattern restoration with Direction-Variance-Boundary Constraint Search
VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification
Context-aware resemblance detection for data deduplication with neural network
Two-stage cascaded classification approach based on genetic fuzzy learning for speech/music discrimination
Loosen Attention: Integrating localized channel and coarse spatial attention for enhanced analysis of complex aurora images
Comparison of the performances of artificial intelligence bots using continuous intuitionistic fuzzy evaluation based on distance from average solution method
Skyline recency-frequency-monetary pattern mining based on different constraint degrees
Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade
Multi-objective parameter estimation of induction motor using particle swarm optimization
PRoA: An intelligent multi-criteria Personalized Route Assistant
Aspect-based sentiment analysis for software requirements elicitation using fine-tuned Bidirectional Encoder Representations from Transformers and Explainable Artificial Intelligence
Structured sparsity learning for large-scale fuzzy cognitive maps
Kernel-free quadratic proximal support vector machine with Lp-norm regularization
Non-linear robust identification using evolutionary algorithms: Application to a biomedical process
Multi-view based face chin contour extraction
Attribute granules-based object entropy for outlier detection in nominal data
Resource-efficient cross-subject emotion recognition from electroencephalogram via spiking domain discriminators
A lightweight method for identifying safflower picking points based on the integration of object detection and instance segmentation networks
Enabling global interpolation, derivative estimation and model identification from sparse multi-experiment time series data via neural ODEs
Decision intelligence-driven predictive modelling of air quality index in surface mining
Auction-based approach with improved disjunctive graph model for job shop scheduling problem with parallel batch processing
Modal Mimicking Knowledge Distillation for monocular three-dimensional object detection
Multi-scale latent space sequential fusion of images for pose estimation of underground tunneling machinery
Analog circuit test point selection method for fault diagnosis based on deep reinforcement learning
Classifiers combination and syntax analysis for Arabic literal amount recognition
A reinforcement learning approach to long-horizon operations, health, and maintenance supervisory control of advanced energy systems
Sequence2Self: Self-supervised image sequence denoising of pixel-level spray breakup morphology
Fast algorithms for online construction of web tag clouds
CTRL-F: Pairing convolution with transformer for image classification via multi-level feature cross-attention and representation learning fusion
Data-driven robust intertwined wheat supply chain: Redesigning a viable network for long-term geopolitical conflicts
Incipient fault diagnosis using support vector machines based on monitoring continuous decision functions
Changepoint detection-assisted nonparametric clustering for unsupervised temporal sign segmentation
Bottom-up modeling of small-scale energy consumers for effective Demand Response Applications
One-step unsupervised clustering based on information theoretic metric and adaptive neighbor manifold regularization
Using machine learning techniques to predict ammonium concentration in membrane contactors for nitrogen recovery as a valuable resource
Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
General swap-based multiple neighborhood tabu search for the maximum independent set problem
A novel data-driven machine learning approach for improved strain rate control in thermomechanical testing of sheet metals
Touch and slippage detection in robotic hands with spiking neural networks
A new adaptive robust multi-objective optimization algorithm for dispatching of microgrids design
Adversarial sample generation via dual-channel Ghost U-shaped network
Research on mobile robot path planning based on improved Q-evaluation ant colony optimization algorithm
Analysis of interrelationships of human errors using linguistic decision-making trial and evaluation laboratory with consensus reaching process
MIRROR: Multi-scale iterative refinement for robust chinese text recognition
Cooperative traffic signal control for a partially observed vehicular network using multi-agent reinforcement learning
Development of improved sparrow search-based PI controller for power quality enhancement using UPQC integrated with medical devices
The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms
An embedded solution for fault detection and diagnosis of photovoltaic modules using thermographic images and deep convolutional neural networks
The TTS-driven affective embodied conversational agent EVA, based on a novel conversational-behavior generation algorithm
Pulse repetition interval modulation recognition using deep CNN evolved by extreme learning machines and IP-based BBO algorithm
Mining coherent topics in documents using word embeddings and large-scale text data
Inferring drug-related microbes through multi-perspective node feature distribution encoding and multi-scale hypergraph learning
The fuzzy cognitive pairwise comparisons for ranking and grade clustering to build a recommender system: An application of smartphone recommendation
Energy efficient multi-objective scheduling of tasks with interval type-2 fuzzy timing constraints in an Industry 4.0 ecosystem
Spatial displacement tracking of vibrating structure using multiple feature points assisted binocular visual reconstruction
ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data
Modeling and optimization of a road-rail intermodal transport system under uncertain information
A novel PoI temperature prediction method for heat source system based on graph convolutional networks
Roboskeleton: An architecture for coordinating robot soccer agents
Implementation of a non-linear SVM classification for seizure EEG signal analysis on FPGA
Interactive fuzzy search algorithm: A new self-adaptive hybrid optimization algorithm
A two-tier hierarchical causal model for multimodal conversational emotion reasoning
Classification of similar electronic components by transfer learning methods
Prediction of total dissolved solids, based on optimization of new hybrid SVM models
A multiple convolution and bilayer acceleration model for precise and efficient early urban fire detection in complex scenarios
Developing a physics-informed and physics-penalized neural network model for preliminary design of multi-stage friction pendulum bearings
Determining ultimate bearing capacity of shallow foundations by using multi expression programming (MEP)
Promoting circular supply chain in food sector: A decision framework for analysing the role of artificial intelligence-driven open innovation
Lyapunov theory based stable Markov game fuzzy control for non-linear systems
Recent advances in Transformer technology for agriculture: A comprehensive survey