yusuke1997/dblp-id-title huggingface dataset:
Application of machine learning models in the behavioral study of forest fires in the Brazilian Federal District region
Comparing attention-based methods with long short-term memory for state encoding in reinforcement learning-based separation management
An attention-based dual-encoding network for fire flame detection using optical remote sensing
An incorporation of metaheuristic algorithm and two-stage deep learnings for fault classified framework for diesel generator maintenance
Model-based pre-compensator design for piezoelectric actuators based on physics guided neural network and physics-precision balanced training
Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II
Intelligent nonsingular terminal sliding-mode control via perturbed fuzzy neural network
Efficient and resilient micro air vehicle flapping wing gait evolution for hover and trajectory control
A novel fractional time-delayed grey Bernoulli forecasting model and its application for the energy production and consumption prediction
Image steganography with high embedding capacity based on multi-target adversarial attack
HOLT-Net: Detecting smokers via human-object interaction with lite transformer network
T-S fuzzy controller design for stabilization of nonlinear networked control systems
Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes
Model-based human gait recognition using leg and arm movements
Machine health condition prediction via online dynamic fuzzy neural networks
Using clustering to learn distance functions for supervised similarity assessment
Deep learning for liver cancer histopathology image analysis: A comprehensive survey
Improving decision making in fault detection and isolation using model validity
Spatial-aware feature enhancement network for fine-grained visual classification
Feature identification for predicting community evolution in dynamic social networks
Graph regularized discriminative nonnegative matrix factorization
Metaheuristics for the multi-task simultaneous supervision dual resource-constrained scheduling problem
Advanced deep learning-based electricity theft detection in smart grids using multi-dimensional analysis with Convolutional Autoencoder and Transformer
Distributed and adaptive traffic signal control within a realistic traffic simulation
Using Physics-Informed neural networks for solving Navier-Stokes equations in fluid dynamic complex scenarios
A two-phase approach for mining weighted partial periodic patterns
Resource constraint crop damage classification using depth channel shuffling
Special Issue on Innovative Artificial Intelligence Solutions for Crisis Management
Coupled extreme learning machine and particle swarm optimization variant for projectile aerodynamic identification
ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler
A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Yaw system restart strategy optimization of wind turbines in mountain wind farms based on operational data mining and multi-objective optimization
An attention Long Short-Term Memory based system for automatic classification of speech intelligibility
Parallel multi-layer sensor fusion for pipe leak detection using multi-sensors and machine learning
Periodic event-triggered adaptive neural output feedback tracking control of unmanned surface vehicles under replay attacks
Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs
Contrastive prototype learning with semantic patchmix for few-shot image classification
A novel data-driven sample augmentation method using interpretable space and adversarial mechanism for dioxin risk warning
Adapting the search vector for direct adaptive control systems
Critical area prediction in train stations using interactive object detection with Detection Transformer
Low probability of interception radar overlapping signal modulation recognition based on an improved you-only-look-once version 8 network
Health prognosis via feature optimization and convolutional neural network for lithium-ion batteries
Federated learning for big data: A survey on opportunities, applications, and future directions
Multi-receptive Field Distillation Network for seismic velocity model building
A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making
Early weak anomaly detection and uncertainty quantification of equipment based on multi-task and multi-domain temporal memory autoencoder
A variational Bayes model for count data learning and classification
Self-learning stationary subspace analysis for fault detection of industrial processes with varying operation conditions
Ensemble aggregation methods for relocating models of rare events
Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer
Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data
On-device facial verification using NUF-Net model of deep learning
Survey: Image mixing and deleting for data augmentation
Physics-informed deep operator networks with stiffness-based loss functions for structural response prediction
Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model
Automated planning to minimise uncertainty of machine tool calibration
State-of-the-art of machine learning methods for fault detection and health monitoring of wind turbine system components: A comprehensive review
Influence of statistical feature normalisation methods on K-Nearest Neighbours and K-Means in the context of industry 4.0
IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement
Multimodal and view image processing for three-dimensional object detection in autonomous driving
Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble
SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification
DualFormer: A dual-branch transformer framework for frame-event tracking with complementary fusion attention and sparse spatial channel attention
Malware classification using deep neural networks with Deep Q-Learning and eXplainable artificial intelligence
Dual heuristic programming based nonlinear optimal control for a synchronous generator
Using meta-reinforcement learning for solving the Virtual Network Embedding Problem
Dual-branch deep cross-modal interaction network for semantic segmentation with thermal images
A variant of the particle swarm optimization for the improvement of fault diagnosis in industrial systems via faults estimation
Community detection in multi-layer networks by regularized debiased spectral clustering
Clustering by finding prominent peaks in density space
Intelligent digital signal-type identification
A novel fitness-based particle swarm optimization and radial basis function neural network for predicting liquid sloshing in tanks under seismic excitations
Using domain-specific keyword features to enhance deep learning-based pressure vessel inspection problem identification
An efficient hybrid optimization method for Fuzzy Flexible Job-Shop Scheduling Problem: Steady-state performance and analysis
Decoupled multi-spatio-temporal fusion graph convolutional recurrent network for traffic prediction
Fuzzy rule bases with generalized belief structure inputs
A novel compositional zero-shot learning approach based on hierarchical multi-scale feature fusion
Pin-CasNet: Detecting pin status in transmission lines based on cascade network
Smooth path planning under maximum curvature constraints for autonomous underwater vehicles based on rapidly-exploring random tree star with B-spline curves
Evaluating the blockchain-based healthcare supply chain using interval-valued Pythagorean fuzzy entropy-based decision support system
A geospatial clustering algorithm and its integration into a techno-economic rural electrification planning model
Optimizing echo state network with backtracking search optimization algorithm for time series forecasting
Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics
Multilevel parallel attention knowledge distillation for multimodal biometric recognition
Adaptive chemical industrial processes fault detection model based on Sparse Filtering-based Improved Mixed-Gaussian Probabilistic Principal Component Analysis considering low-probability events
Multi-reservoir echo state network based on the I Ching for accurate energy prediction
Ada2MF: Dual-adaptive multi-fidelity neural network approach and its application in wind turbine wake prediction
Product refurbishment in an imperfect production inventory system under carbon regulations: An interval type-2 fuzzy environment
Interpretable hierarchical symbolic regression for safety-critical systems with an application to highway crash prediction
Horizontal-to-tilted conversion of solar radiation data using machine learning algorithms
Metaheuristic design of feedforward neural networks: A review of two decades of research
Bridging local and global representations for self-supervised monocular depth estimation
Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach
A rough set-based approach to handling spatial uncertainty in binary images
Neural natural language processing for long texts: A survey on classification and summarization
GFBLS: Graph-regularized fuzzy broad learning system for detection of interictal epileptic discharges
A multi-point dam deformation prediction model based on spatiotemporal graph convolutional network
Using multiple steerable filters and Bayesian regularization for facial expression recognition
Wavelet-based frame video coding algorithms using fovea and SPECK
A velocity-prediction lightweight diffusion model for three-dimensional aircraft aerodynamic inverse design
A dual-population based two-archive coevolution algorithm for constrained multi-objective optimization problems
Artificial intelligence-guided design of manufactured sand concrete with targeted performance
Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet
Satin bowerbird optimizer: A new optimization algorithm to optimize ANFIS for software development effort estimation
Two novel models and a parthenogenetic algorithm for detecting common driver pathways from pan-cancer data
Electric power optimization in solar trough plants with deep learning-based model predictive control
Federated learning with comparative learning-based dynamic parameter updating on glioma whole slide images
Improvement of intelligent methods for evaluating the apparent quality of knitted fabrics
A new approach to sentiment analysis algorithms: Extended SWARA-MABAC method with 2-tuple linguistic q-rung orthopair fuzzy information
A novel spoken keyword spotting system using support vector machine
Automated dimensional quality inspection of super-large steel mesh using fixed-spacing detection transformer and improved oriented fast and rotated brief
Regularised feed forward neural networks for streamed data classification problems
Multi-objective optimization using teaching-learning-based optimization algorithm
Chaos identification for dairy cow weight time series with deep wavelet transform
Self-supervised adversarial adaptation network for breast cancer detection
DCDSum: An interpretable extractive summarization framework based on contrastive learning method
Kernel general loss algorithm based on evolving participatory learning for online time series prediction
Estimation of the legs' state of a mobile robot based on Long Short-Term Memory network
Distributed search in railway scheduling problems
Inland waterway object detection in multi-environment: Dataset and approach
Self-supervised combustion state diagnosis using a noise-augmented generative adversarial network and flame image sequences
AFcIHNet: Attention feature-constrained network for single image information hiding
A novel adaptive spatial-temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition
Gas path fault diagnosis of aircraft engine using HELM and transfer learning
Multi-stage guided code generation for Large Language Models
Insights into the application of explainable artificial intelligence for biological wastewater treatment plants: Updates and perspectives
MLTPED-BFC: Machine learning-based trust prediction for edge devices in the blockchain enabled fog computing environment
An objective-guided multi-strategy evolutionary algorithm for multi-objective coalition formation
On the use of different types of knowledge in metaheuristics based on constructing solutions
A segmentation-based approach for polyp counting in the wild
Graph dropout self-learning hierarchical graph convolution network for traffic prediction
Modulated model network: A physics-informed machine learning method for high-precision signal reconstruction and enhanced fault diagnostics
Federated cross-device cluster dynamic time planning warping algorithm in the industrial internet of things
Dual-scale adaptive attention-based Vision transformer with iterative refinement for clarity and consistency in multi-focus image fusion
Towards benchmark datasets for machine learning based website phishing detection: An experimental study
Generating bimodal privacy-preserving data for face recognition
Computation offloading in Edge Computing environments using Artificial Intelligence techniques
Federated clustering with mutual knowledge distillation for traffic flow prediction
Deep learning-aided Laser Doppler Velocimeter-Inertial Measurement Unit Fusion for Robust Vehicle Localization in Global Navigation Satellite Systems-denied environments
Physics informed neural network with Fourier feature for natural convection problems
A quantitative multi-dimensional resilience framework in process industries
Initialization enhancer for non-negative matrix factorization
Chattering existence and attenuation in fuzzy-based sliding mode control
Supporting agile supply chains using a service-oriented shop floor
OpenPsi: A novel computational affective model and its application in video games
Adaptive learning network for detecting pavement distresses in complex environments
Review of artificial intelligence applications in engineering design perspective
A reinforcement learning approach to Automatic Voltage Regulator system
FTPComplEx: A flexible time perspective approach to temporal knowledge graph completion
Contrastive Learning with Similarity Enhancement for Dimensionality Reduction
Real-time assessment of surface cracks in concrete structures using integrated deep neural networks with autonomous unmanned aerial vehicle
Enriched multi-scale cascade pyramid features and guided context attention network for industrial surface defect detection
A robust accent classification system based on variational mode decomposition
A double fuzzy multi-criteria analysis to evaluate international high-performance aircrafts for defense purposes
A novel artificial autonomous system for supporting investment decisions using a Big Five model approach
Modelling of electrostatic fluidized bed (EFB) coating process using artificial neural networks
Customer preference analysis integrating online reviews: An evidence theory-based method considering criteria interaction
A plug-and-play fully on-the-job real-time reinforcement learning algorithm for a direct-drive tandem-wing experiment platforms under multiple random operating conditions
A multimodal industrial anomaly detection method based on mask training and teacher-student joint memory
An online learning algorithm to play discounted repeated games in wireless networks
Voice disorder detection using machine learning algorithms: An application in speech and language pathology
Two-pathway spatiotemporal representation learning for extreme water temperature prediction
A two-stage point elimination with salient fusion features for point cloud registration
Recursive mutual-supervised multi-modal mask-variational fusion with domain-anchor alignment for domain-specific Multimodal Neural Machine Translation
Use of artificial neural networks with the physiological principles do predict growth model
A new risk level identification model for aviation safety
Tacit algorithmic collusion in deep reinforcement learning guided price competition among a set of fast-charging electric vehicle hubs
A comprehensive review on generative artificial intelligence models for fault diagnostics and prognostics of rotating machineries
Integrated scheduling of pallets and vehicles for automated warehouses with multi-tier racks
Normal and tangent force neuro-fuzzy control of a soft-tip robot with unknown kinematics
Label-free model evaluation and weighted uncertainty sample selection for domain adaptive instance segmentation
Multicriteria fuzzy-polynomial observer design for a 3DoF nonlinear electromechanical platform
New improved CREAM model for human reliability analysis using a linguistic D number-based hybrid decision making approach
Extended Kalman filter-based maximum likelihood estimation for dynamic soft tissue characterisation
Addressing anomalies in smart grids: Methods for detecting and localizing high-current loads
Using a generative adversarial network for the inverse design of soft morphing composite beams
Neural network model identification control of dual-inertia system with a flexible load considering payload mass variation and nonlinear deformation
A parameterized spatio-temporal physics-informed neural network framework for cementing displacement prediction in oil and gas wells
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Dynamic selective Gaussian process regression for forecasting temperature of molten steel in ladle furnace
A signal-processing tool for non-destructive testing of inaccessible pipes
Monitoring the deterioration state of braking friction performance of high-speed train under imbalanced data
Addressing false alarms from high-voltage structures in subpixel fire detection
Comparative analysis of advanced machine learning models for second-grade liquid via stimulating magnetized CoFe2O4 nanoparticles over a convective moving plate
An improved dynamic attention mechanism-based transformers approach for motor imagery electroencephalogram signal classification
MSE-Fusion: Weakly supervised medical image fusion with modal synthesis and enhancement
Generative non-autoregressive unsupervised keyphrase extraction with neural topic modeling
Feature Sampling based on Multilayer Perceptive Neural Network for image quality assessment
Review of state-of-the-art surface defect detection on wind turbine blades through aerial imagery: Challenges and recommendations
Blockchain-enabled healthcare supply chain management: Identification and analysis of barriers and solutions based on improved zero-sum hesitant fuzzy game theory
Enhanced fault diagnosis method using conditional Gaussian network for dynamic processes
Prediction framework of slope topographic amplification on seismic acceleration based on machine learning algorithms
GULLIVER: A decision-making system based on user observation for an adaptive training in informed virtual environments
A cross-modal collaborative guiding network for sarcasm explanation in multi-modal multi-party dialogues
Self-optimized learning algorithm for multi-specialty multi-stage elective surgery scheduling
An effective Decision Support System for social media listening based on cross-source sentiment analysis models
Train a real-world local path planner in one hour via partially decoupled reinforcement learning and vectorized diversity
An effective data-driven water quality modeling and water quality risk assessment method
A hyperparameter-fusion neural networks for deposition prediction
ORALI: Open-set recognition and active learning for unknown lithology identification
Social personalized ranking with both the explicit and implicit influence of user trust and of item ratings
MFBGR: Multi-scale feature boundary graph reasoning network for polyp segmentation
A flexible job shop scheduling method based on heterogeneous disjunctive graph and deep reinforcement learning
Measuring technological innovation efficiency using interval type-2 fuzzy super-efficiency slack-based measure approach
Quantitative method for structural health evaluation under multiple performance metrics via multi-physics guided neural network
Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study
Retraction notice to "A comparative study on end-to-end deep learning methods for Electroencephalogram channel selection" [Eng. Appl. Artif. Intell. 122 (2023) 106122]
Optimized methods for basic probability assignments in evidence theory: Applications to fault diagnosis
Application of genetic algorithm and terminal sliding surface to improve the effectiveness of the proportional-integral controller for the direct power control of the induction generator power system
Ontology-based approach for measuring semantic similarity
Walk as you feel: Privacy preserving emotion recognition from gait patterns
Multi-objective adaptive large neighbourhood search algorithm for dynamic flexible job shop schedule problem with transportation resource
An efficient deep learning network with orthogonal softmax layer for automatic detection of tuberculosis
An approach combining a new weight initialization method and constructive algorithm to configure a single Feedforward Neural Network for multi-class classification
Solving assembly line balancing problems with reinforcement learning
A spatially heterogeneous Gillespie algorithm modeling framework that enables individual molecule history and tracking
A strategy based on Wave Swarm for the formation task inspired by the Traveling Salesman Problem
Policy-based reinforcement learning for time series anomaly detection
Improved YOLOv8-GD deep learning model for defect detection in electroluminescence images of solar photovoltaic modules
Process monitoring using variational autoencoder for high-dimensional nonlinear processes
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network
Driver risk classification for transportation safety: A machine learning approach using psychological, physiological, and demographic factors with driving simulator
Sensor fusion transformer for interpretable anomaly detection via multi-sensor time series data
Using online simulation in Holonic manufacturing systems
Real-time quantitative analysis of wildfire fireline merging behavior based on segmentation-skeletonization algorithm
Learning semantic concepts from image database with hybrid generative/discriminative approach
Towards conscientious peers: Combining agents and peers for efficient and scalable video segment retrieval for VoD services
Interpretable chest X-ray localization using principal component-based feature selection in deep learning
Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach
A module partition method for complex product based on the knowledge hypergraph
Novel machine intelligent expedition with adaptive autoregressive exogenous neural structure for nonlinear multi-delay differential systems in computer virus propagation
Single domain generalization method based on simulation-experiment data fusion and meta-learning for rotating machinery fault diagnosis
Robust co-location pattern mining in urban areas based on multi-path proximity consideration
Optic flow estimation by support vector regression
Diffusion-based vision-language model for zero-shot anomaly detection in medical images
Iterative optimization-enhanced deep learning framework for multi-proportion strength prediction in rubber-steel fiber reinforced concrete