yusuke1997/dblp-id-title huggingface dataset:
Power transformer fault diagnosis based on a self-strengthening offline pre-training model
A dynamical hybrid method to design decision making process based on GRA approach for multiple attributes problem
DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect
Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model
Automated strabismus diagnosis: A deep learning approach using cover test video analysis
Blind digital modulation classification in software radio using the optimized classifier and feature subset selection
An adaptive resource management scheme in cloud computing
An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals
Secondary decomposition with temporal convolutional gated recurrent unit network for strong wind prediction in high-speed railway system
SemNav-HRO: A target-driven semantic navigation strategy with human-robot-object ternary fusion
Deep neural operators as accurate surrogates for shape optimization
Investigation of hybrid modeling and its transferability in building load prediction used for district heating systems
A multi-agent deep distribution approximation strategy optimization algorithm with multi-threaded parallel computing mechanism suitable for large-scale and complex urban road networks
Measuring consistency of two datasets using fuzzy techniques and the concept of indiscernibility: Application to human perceptions on fabrics
A generalized divergence of information volume and its applications
A multiclass classification using one-versus-all approach with the differential partition sampling ensemble
Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection
A hybrid Convolutional Autoencoder training algorithm for unsupervised bearing health indicator construction
Unsupervised structure subdomain adaptation based the Contrastive Cluster Center for bearing fault diagnosis
Efficient segmentation with texture in ore images based on box-supervised approach
Protein secondary structure optimization using an improved artificial bee colony algorithm based on AB off-lattice model
Black-box attack against GAN-generated image detector with contrastive perturbation
Generalized disjunctive constraint propagation for solving the job shop problem with time lags
An Evolutionary Neuro-Fuzzy C-means Clustering Technique
Simple and robust depth-wise cascaded network for polyp segmentation
RDJCNN: A micro-convolutional neural network for radar active jamming signal classification
State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems
Actuator fault estimation using optimization-based learning techniques for linear parameter varying systems with unreliable scheduling parameters
Semi-supervised generative adversarial networks for imbalanced skin lesion diagnosis with an unbiased generator and informative images
Forecasting crude oil price with a new hybrid approach and multi-source data
Pipeline damage identification in nuclear industry using a particle swarm optimization-enhanced machine learning approach
A density-based evolutionary clustering algorithm for intelligent development
Electroencephalogram-based emotion recognition using factorization temporal separable convolution network
Simultaneous image color correction and enhancement using particle swarm optimization
Multidimensional data classification with chordal distance based kernel and Support Vector Machines
A modified GNN architecture with enhanced aggregator and Message Passing Functions
A game theory based framework for materialized view selection in data warehouses
Human gaze-aware attentive object detection for ambient intelligence
Risk-response coupling in underground structures under liquefiable soil conditions: A causality-informed Dynamic Bayesian network integrated framework
Set based robust design of mechanical systems using the quantifier constraint satisfaction algorithm
Fast adversarial attacks to deep neural networks through gradual sparsification
Design of adaptive fuzzy model for classification problem
Particle Swarm Optimization or Differential Evolution - A comparison
Corrigendum to "A two-stage evidence fusion underwater target recognition method based on Multivariate Variational Mode Decomposition feature optimization and conflict handling" [Eng. Appl. Artif. Intell. 163, (Part 1), (1 January 2026), 112769]
WCATN: Unsupervised deep learning to classify weather conditions from outdoor images
Anomaly detection in Smart-manufacturing era: A review
Engineering deontic protocols by means of organizational Petri nets
Exploring Contextual Representation and Multi-modality for End-to-end Autonomous Driving
Exploring explainable ensemble machine learning methods for long-term performance prediction of industrial gas turbines: A comparative analysis
Real-time transaction scheduling in multiple-deep tier-to-tier shuttle-based storage and retrieval systems by using deep Q-learning
Representation enhancement and hierarchical semantic alignment for text-video retrieval
Broad learning system-based model-free adaptive robust control for hypersonic morphing aircraft with appointed-time prescribed performance
Identification of surface defects on solar PV panels and wind turbine blades using attention based deep learning model
Separable-programming based probabilistic-iteration and restriction-resolving correlation filter for robust real-time visual tracking
GRHP: Graph-Fused Hierarchical Planning for Embodied Long-Horizon Robotic Task
A new fault diagnosis method of multimode processes using Bayesian inference based Gaussian mixture contribution decomposition
An overlapping minimization-based over-sampling algorithm for binary imbalanced classification
Dynamic feature capturing in a fluid flow reduced-order model using attention-augmented autoencoders
Support vector machines versus multi-layer perceptrons for efficient off-line signature recognition
Multi-interest-aware Adaptive Self-attention Network for Session-based Recommendation
An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime
Heart action monitoring from pulse signals using a growing hybrid polynomial network
A hybrid data- and model-driven learning framework for remaining useful life prognostics
Enhancing driver assistance systems with field-programmable gate array based image Filtering: Implementation of adaptive image processing framework for real-time filtering
A robust maximal margin hypersphere support vector machine with pinball loss
Speech signal-based accurate neurological disorders detection using convolutional neural network and recurrent neural network based deep network
Forecasting global climate drivers using Gaussian processes and convolutional autoencoders
Color texture segmentation based on image pixel classification
Learning motion-guided salience features for weakly supervised group activity recognition
Research on grinding force prediction of spiral bevel gear based on generalized regression neural network and undeformed grinding chips
Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles
A residual deep learning framework for sleep apnea diagnosis from single lead electrocardiogram signals: An explainable artificial intelligence approach
Deep learning-based chatbot by natural language processing for supportive risk management in river dredging projects
Prototype contrastive-based decentralized federated transfer learning for intelligent fault diagnosis
Human trajectory forecasting using a flow-based generative model
Ranking based on average and ideal solution method for stakeholder engagement in building energy retrofitting
Continuously evolving dropout with multi-objective evolutionary optimisation
Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework
Knowledge and data dual-driven cyber-physics system for intelligent monitoring and compensation of machine tool dynamic coupling error
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
Cost-constrained feature selection using gradient boosting decision tree
A robust detection scheme against selective forwarding attacks in wireless sensor networks under variable harsh environments
Active control of flexible rotors using deep reinforcement learning with application of multi-actor-critic deep deterministic policy gradient
Integrating relevance vector machines and genetic algorithms for optimization of seed-separating process
Synthetic image generation for effective deep learning model training for ceramic industry applications
Sustainable artificial intelligence-powered search engines: Balancing energy efficiency and computational performance
A new fuzzy regression model based on least absolute deviation
A lightweight defect detection transformer for printed circuit boards combining image feature augmentation and refined cross-scale feature fusion
Fast prediction and compensation of curing deformation behaviours of composite parts with complex geometry based on neural operator on Riemannian manifolds
Tri-reference point method for q-rung orthopair fuzzy multiple attribute decision making by considering the interaction of attributes with Bayesian network
Development and application of an optimal COVID-19 screening scale utilizing an interpretable machine learning algorithm
Integrating multimodal biophysical features with hybrid deep learning for ribonucleic acid secondary structure prediction
Epistasis-based FSA: Two versions of a novel approach for variable selection in multivariate calibration
A small-object segmentation algorithm for intercluster imbalance based on histogram- and stickiness-aware boosting
Advancing greenhouse gas emission reduction strategies: Integrating Multi-Criteria Decision-Making with Complex q-Rung Picture Fuzzy Sugeno-Weber Operators
WrdaGAN: A text-to-image synthesis pipeline based on Wavelet Representation and Adaptive Sample Domain Constraint strategy
Artificial intelligence-based blade identification in operational wind turbines through similarity analysis aided drone inspection
Multi-scale pseudo-labels filtering and key pixels adversarial alignment for domain adaptive object detection
Atrous spatial pyramid pooling with swin transformer model for classification of gastrointestinal tract diseases from videos with enhanced explainability
A dyeing clustering algorithm based on ant colony path-finding mechanism
Deep learning-enhanced hybrid geostatistical and physics-guided seismic inversion for reservoir fluid discrimination
Multiobjective optimization deep reinforcement learning for dependent task scheduling based on spatio-temporal fusion graph neural network
Machine learning study for three-dimensional magnetohydrodynamics Casson fluid flow with Cattaneo-Christov heat flux using linear regression technique: Application in engineering science and technology
From the new Editor-in-Chief
A framework for Gaming Disorder Detection based on social media data using Large Language Model labeling
A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm
Progressive structure network-based multiscale feature fusion for object detection in real-time application
A multi-objective particle swarm optimizer based on reference point for multimodal multi-objective optimization
AutoML-GWL: Automated machine learning model for the prediction of groundwater level
A rapid detection and quantification method for levee leakage outlets using drone infrared thermography and semantic segmentation
Applications of artificial intelligence for optimization of compressor scheduling
PI adaptive LS-SVR control scheme with disturbance rejection for a class of uncertain nonlinear systems
Identification and health-aware economic control of production systems: A fuzzy logic max plus algebraic approach
Artificial intelligence in prognostics and health management of engineering systems
MGNet: Mutual-guidance network for few-shot semantic segmentation
Enhancing medical image classification through controlled diversity in ensemble learning
History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation
A neural network approach to explore bioelectromagnetics aspects of blood circulation conveying tetra-hybrid nanoparticles and microbes in a ciliary artery with an endoscopy span
Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach
Distributed control of production systems
Physics-informed dual guidance method using physical envelope harmonic distribution and transfer learning for few-shot gear fault classification
Data-driven method for the improving forecasts of local weather dynamics
A combination-based machine learning algorithm estimating impacts of social, economic, and environmental on resident health - on China's provincial panel data
Aggregation segregation generative adversarial network (AG-GAN) facilitated multi-scale segregation detection in asphalt pavement paving stage
Neural network-based failure rate prediction for De Havilland Dash-8 tires
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
An algorithm for computing the diagnoses with minimal cardinality in a distributed system
An artificial neural network implementation on novel tetra hybrid nanofluid model: Case study of solar wind turbines
Evolving behaviors for bounded-flow tracking control of second-order dynamical systems
Backtracking based iterated tabu search for equitable coloring
Deep semantic and structural feature-aware drug repositioning with heterogeneous frequency-domain contrastive regularization learning
Multi-pulse superposition for droplet volume control in inkjet printing based on model and data fusion
The general conformable fractional grey system model and its applications
An encoder framework for taxi-demand prediction using spatio-temporal function approximation
An agent-based framework for distributed learning
Intelligent injection liquid particle inspection machine based on two-dimensional Tsallis Entropy with modified pulse-coupled neural networks
An enhanced generative adversarial network for longer vibration time data generation under variable operating conditions for imbalanced bearing fault diagnosis
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
Reinforcement learning vibration control and trajectory planning optimization of translational flexible hinged plate system
Data-efficient Federated Learning for Edge Network Intrusion Detection
Enhanced automated code vulnerability repair using large language models
Addressing Unequal Area Facility Layout Problems with the Coral Reef Optimization algorithm with Substrate Layers
Consistent learning for incomplete multi-view clustering
Collaborative control of path tracking and roll stability in intelligent commercial vehicle: A minimax robust regulator based on Nash game
A three-phase search approach for the quadratic minimum spanning tree problem
Optimisation of LSTM neural networks with NSGA-II and FDA for PV installations characterisation
A diffusion model based on multi-scale spatial Mamba for medical image segmentation
Erratum to "A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors"[Eng. Appl. Artif. Intell. 133 (2024) 107920]
Evolutionary Extreme Learning Machine with novel activation function for credit scoring
Adaptive state space partitioning for reinforcement learning
Picture fuzzy geometric Heronian mean operator based novel ranking method for optimal plastic waste recycling technology selection
Research on vacuum glass insulation performance prediction based on unsteady state multivariate data screening and multi-model fusion self-optimization
An aspect-level sentiment Graph Convolutional Network model based on transformer and frequency domain
E-GCS: Detection of COVID-19 through classification by attention bottleneck residual network
Expert system for early sign stuck pipe detection: Feature engineering and fuzzy logic approach
Enhancing fuzzy evidential reasoning approach using dynamic adjustment mechanism and new rule-based transformation for engineering emergency response evaluation
Label distribution learning with correlation information
A transformer-based framework for software vulnerability detection using attention-driven convolutional neural networks
A grouping genetic algorithm for the microcell sectorization problem
Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model
A structured argumentation system with backing and undercutting
EslaXDET: A new X-ray baggage security detection framework based on self-supervised vision transformers
Priori-distribution-guided adaptive sparse attention for cross-domain feature mining in diesel engine fault diagnosis
Cross-lingual sentiment classification using multiple source languages in multi-view semi-supervised learning
A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion
Device free human gesture recognition using Wi-Fi CSI: A survey
T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm
Forecasting the behavior of an elderly using wireless sensors data in a smart home
Multi-objective supply chain model with multiple levels of transit and vulnerable zone detection implementing hexagonal defuzzification: A case study of 2022 Assam flood
Machine learning electrospray plume dynamics
Distributed economic dispatch of embedded generation in smart grids
Vision Transformers in medical computer vision - A contemplative retrospection
Genetic fuzzy self-tuning PID controllers for antilock braking systems
An effective hybrid multi-objective genetic algorithm for bi-criteria scheduling on a single batch processing machine with non-identical job sizes
Wheel odometry model calibration with neural network-based weighting
Fixed-time neural network composite learning control for uncertain nonlinear systems
Intelligent application of interactive scale transformer for fine grained feature extraction in sheep
Bus maintenance scheduling using multi-agent systems
Evolutionary algorithm-based design of a fuzzy TBF predictive model and TSK fuzzy anti-sway crane control system
SeNet-I: An approach for detecting network intrusions through serialized network traffic images
A hybrid method for power system state estimation using Cellular Computational Network
A comparative analysis of optimized gear shifting controls for minimizing fuel consumption and engine emissions using neural networks, fuzzy logic, and rule-based approaches
Diversity-driven reasoning: Mitigating logical errors in LLMs through social-attribute guided multi-agent collaboration
Adaptive robust finite-time control of mobile robot systems with unmeasurable angular velocity via bioinspired neurodynamics approach
Enhancing probabilistic photovoltaic power forecasting with parallel feature interaction and bayesian correction
Automatic collaborative learning for drug repositioning
Multiscale finite impulse response modeling
TactiFlex: A Federated learning-enhanced in-content aware resource allocation flexible architecture for Tactile IoT in 6G networks
Enhancing two dimensional irregular pattern packing using a modified genetic algorithm and image processing
Multiview abnormal video synopsis in real-time
Efficient interactive segmentation of three-dimensional Gaussians with optimal view selection
Holistic design for deep learning-based discovery of tabular structures in datasheet images
Multi-focus image fusion via interactive transformer and asymmetric soft sharing
Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction
Research on medical insurance anti-gang fraud model based on the knowledge graph
Rolling bearing fault diagnosis based on multiple wavelet coefficient dimensionality reduction and improved residual network
DeepSeek-R1-assisted design and maintenance of concrete-filled steel tubular structures through automated modeling code generation
Exploratory analysis and performance prediction of big data transfer in High-performance Networks
Spatial-temporal generative network based on deep long short-term memory autoencoder for hand skeleton data sequences reconstruction and recognition
Neural management for heat and power cogeneration plants
Adaptive control method for ship curved hybrid laser-arc welding through lightweight encoder-decoder architecture
A robust neural network approximation-based prescribed performance output-feedback controller for autonomous underwater vehicles with actuators saturation
A framework for super-resolution of side-scan sonar images: Combination of variational Bayes and regional feature selection
Global superpixel-merging via set maximum coverage
Merged LSTM-based pattern recognition of structural behavior of cable-supported bridges
Toward interpretable anomaly detection for autonomous vehicles with denoising variational transformer
(m,n)-Generalized power root fuzzy set and its applications in crime linkage and criminal mental health diagnosis
A comprehensive multimodal benchmark of neuromorphic training frameworks for spiking neural networks
A deep learning framework for the segmentation and quantitative analysis of pulmonary embolism
A novel family of IC-based similarity measures with a detailed experimental survey on WordNet
Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning
Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty
Vulnerabilities in Chen and Deng's RFID mutual authentication and privacy protection protocol
Teaching learning based optimization with Pareto tournament for the multiobjective software requirements selection
Recursive and noise-exclusive fuzzy switching median filter for impulse noise reduction
Detection of Parkinson's disease based on spectrograms of voice recordings and Extreme Learning Machine random weight neural networks
Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction
Knee osteoarthritis network: A hybrid transformer-based approach for enhanced detection and grading of knee osteoarthritis
A deep learning-driven network for joint low-light enhancement and deblurring in maritime surveillance systems
A novel picture fuzzy CRITIC & REGIME methodology: Wearable health technology application
Designing an intelligent ontological system for traffic light control in isolated intersections
HoloFluoNet: Live cell imaging intelligence based on fused holography and fluorescence for virtual staining, cell segmentation, classification, and viability analysis
Video anomaly detection based on cross-frame prediction mechanism and spatio-temporal memory-enhanced pseudo-3D encoder
Syn-rPPG: Improving unsupervised remote photoplethysmography extraction with synthesized videos using generative models
Adaptive Immune System reinforcement Learning-Based algorithm for real-time Cascading Failures prevention
Saliency and ballness driven deep learning framework for cell segmentation in bright field microscopic images
Emergency fault affected wide-area automatic generation control via large-scale deep reinforcement learning
Improving Deep Random Vector Functional Link Networks through computational optimization of regularization parameters
Cross-view gait recognition based on discriminative global-local feature representation and learning
Design control and management of intelligent and autonomous nanorobots with artificial intelligence for Prevention and monitoring of blood related diseases