yusuke1997/dblp-id-title huggingface dataset:
Combining new Fast Opposite Gradient Search with Ant Colony Optimization for solving travelling salesman problem
A critical review of safe reinforcement learning strategies in power and energy systems
Combining Singular Value Decomposition and a multi-classifier: A new approach to support coreference resolution
A comprehensive survey on digital video forensics: Taxonomy, challenges, and future directions
Predictive hierarchical harmonic emotional neuro-cognitive control of nonlinear systems
Multiple regularized knowledge transfer learning for cross-subject motor imagery electroencephalogram classification
Using SOM and PCA for analysing and interpreting data from a P-removal SBR
New consensus reaching process with minimum adjustment and feedback mechanism for large-scale group decision making problems under social trust networks
Efficient template-separable hierarchical transformer tracking for edge computing
A benchmark for multi-class object counting and size estimation using deep convolutional neural networks
Simultaneous person attribute recognition using task-specific attention network on embedded devices
Enhancing the hydraulic engineering circular-18 pier scour equation with knowledge-guided symbolic regression and field data augmentation
Multi-agent system for perturbations in the kitting process of an automotive assembly line
Generalized zero-shot learning for classifying unseen wafer map patterns
Multi-area short-term load forecasting based on spatiotemporal graph neural network
Direct identification of structural parameters from dynamic responses with neural networks
A prospect theory-based three-way consensus model for multicriteria and multi-agent conflict analysis
Three-stage multi-objective optimization approach based on sparsity knowledge for multi-airship earth-observation task scheduling
Applying Human-in-the-Loop to construct a dataset for determining content reliability to combat fake news
Personalized and safe medication recommendation based on convolutional neural network and transformer architecture
Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine
Linear algorithm for conservative degenerate pattern matching
Neuro-fuzzy approach for online message scheduling
Proportional derivative fuzzy control supplied with second order sliding mode differentiation
Robust MPL scheduling considering the number of in-process jobs
Spectral and spatial reduction of hyperspectral image guided by data reconstruction and superpixels
A survey of the applications of Bayesian networks in agriculture
Three-dimensional object detection for autonomous driving via deep learning: A review
SmartMatch: A semi-supervised framework for obstructive sleep apnea classification using single-lead electrocardiogram signals with limited annotations
Unified node, edge and motif learning networks for graphs
A novel framework for crack segmentation using image augmentation and a CannyNet
A RFID-case-based sample management system for fashion product development
Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model
Transfer-based taxonomy induction over concept labels
Machine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks
Accelerating the integration of the metaverse into urban transportation using fuzzy trigonometric based decision making
Sampling and noise filtering methods for recommender systems: A literature review
Inverse dynamics modelling and tracking control of conical dielectric elastomer actuator based on GRU neural network
A cognitive robotic ecology approach to self-configuring and evolving AAL systems
Deep convolutional neural network based on self-distillation for tool wear recognition
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
Surface topography characterization using a simple optical device and artificial neural networks
A tour-guide robot: Moving towards interaction with humans
A collaborative cuckoo search algorithm with modified operation mode
Differential Evolution: A review of more than two decades of research
Identifying sustainable strategies for electronic waste management utilizing confidence-based group decision-making method in interval valued Fermatean fuzzy environment
A metaheuristic approach for the sequencing by hybridization problem with positive and negative errors
Probabilistic fuzzy regression approach for preference modeling
A visual detection algorithm for autonomous driving road environment perception
Correction of medical image segmentation errors through contrast learning with multi-branch
A novel group decision-making framework under Pythagorean fuzzy N-soft expert knowledge
A machine-learning approach to multi-robot coordination
Remote mobile health monitoring frameworks and mobile applications: Taxonomy, open challenges, motivation, and recommendations
Lightweight image super-resolution network based on extended convolution mixer
Quantization-based deep diversified ensemble for medical image segmentation
Modal disentangled generative adversarial networks for bidirectional magnetic resonance image synthesis
Investigate dual chiller characteristics and improve the performance by integrating machine learning and genetic algorithms
On Residual-based Diagnosis of Physical Systems
DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms
MBPOA-based LQR controller and its application to the double-parallel inverted pendulum system
Multi-source perception data fusion of vessels in visual occlusion scenarios: Leveraging prior knowledge of vessel motion
Permutation Jensen-Shannon divergence for Random Permutation Set
An unified fuzzy decision strategy for analysing green fuel alternatives: A road to long-term development
Learning electromagnetic diffusion policies from mixed demonstrations in magnetic-assisted surgical contexts
Unauthorized access detection system to the equipments in a room based on the persons identification by face recognition
An adaptive machine learning algorithm for the resource-constrained classification problem
A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production
Evolutionary Artificial Neural Network Design and Training for wood veneer classification
An integrated picture fuzzy standard deviation and pivot pairwise assessment method for assessing the drivers of digital transformation in higher education institutions
Research on fresh supply chain risk evaluation of community group purchase based on hybrid multi-attribute decision-making method
TSD-DETR: A lightweight real-time detection transformer of traffic sign detection for long-range perception of autonomous driving
A progressive growing generative adversarial network composed of enhanced style-consistent modulation for fetal ultrasound four-chamber view editing synthesis
Optimal combination of document binarization techniques using a self-organizing map neural network
An elitist non-dominated sorting genetic algorithm enhanced with a neural network applied to the multi-objective optimization of a polysiloxane synthesis process
Change detection with incorporating multi-constraints and loss weights
Non-intrusive condition monitoring based on event detection and functional data clustering
Unmanned ground weapon target assignment based on deep Q-learning network with an improved multi-objective artificial bee colony algorithm
Weakly supervised learning for an effective focused web crawler
Design of a personalized cognitive layered framework for optimal extraction of mathematical teaching techniques
Parameter uncertainty modeling for multiobjective robust control design. Application to a temperature control system in a proton exchange membrane fuel cell
Pseudo-fault data enhanced relation network for fault detection and localization in train transmission systems
Integrated spectrogram construction method on multi-channel signals for loose particle localization
Occluded skeleton-based multi-stream model using Part-Aware Spatial-Temporal Graph Convolutional Network for human activity recognition
Most influential feature form for supervised learning in voltage sag source localization
Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems
Intelligent image content semantic description for cardiac 3D visualisations
A review of applications of genetic algorithms in operations management
Combating false negatives in pancreatic cancer: A deep learning approach for aiding fine needle aspiration via accurate subregion identification
An enhanced recommender system based on heterogeneous graph link prediction
An extended multi-criteria group decision-making method based on preference ranking under Z-number environments
Process models for agent-based development
Physics-informed neural networks for linear elastic fracture mechanics: Application of assessing stress intensity factor and transverse stress
Hierarchical vertical-aware and adaptive multi-scale network for three-dimensional object detection in maritime environments
Optimized single-image super-resolution reconstruction: A multimodal approach based on reversible guidance and cyclical knowledge distillation
Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition
Consensus-based dynamic optimization of the integrated energy-to-product networks through an ontologically-aware multi-agent system
Fuzzy-aided finite-time frequency controller of renewable-integrated power systems with hydrogen energy storage
Wavelet-powered hierarchical frequency filtering framework for autonomous vehicle sensors fault diagnosis and correction under open environments
GAN-AE: An unsupervised intrusion detection system for MQTT networks
A novel color marker-based target tracking and motion intent detection method
Unified multi-color-model-learning-based deep support vector machine for underwater image classification
Investigation of logarithmic signatures for feature extraction and application to marine engine fault diagnosis
Adaptive neighborhood-perceived contrastive network for early stage fault diagnosis of rolling bearing with limited labeled data
Deep learning framework for solving Fokker-Planck equations with low-rank separation representation
Energy consumption prediction and endurance optimization for underwater gliders based on data-model fusion
Artificial intelligence in healthcare and medicine technology development review
Adaptive load forecasting under regional distribution shifts: A meta-learning framework
Group decision making based on dice similarity measure and 2-dimension linguistic fuzzy weighted arithmetic aggregation operator for 2-dimension linguistic fuzzy variables
Domain knowledge-powered attention for air traffic management hazardous events classification
Formalized dual-stream hybrid convolutional neural network for efficient multi-scale tampering detection via feature-driven fusion
Multi-agent model predictive control for transportation networks: Serial versus parallel schemes
Data-driven nonmodel seismic assessment of eccentrically braced frames with soil-structure interaction
Subject independent human action recognition using spatio-depth information and meta-cognitive RBF network
Algorithm for surface flow velocity measurement in trunk canal based on improved YOLOv8 and DeepSORT
A single-cell RNA sequencing data imputation method based on non-negative matrix factorization and multi-kernel similarity network fusion
Multikernel correntropy transfer robust dictionary learning and its application in bearing fault diagnosis
Fuzzy control allocation of microthrusters for space debris removal using CubeSats
Event-triggered fixed-time synchronization and energy consumption prediction for coupled neural networks with stochastic disturbances
A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting
EnTAIL: Evolutional temporal-aware interaction learning for motion forecasting
A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
A dual strategy of adaptive knee-point guidance and niche sampling for non-cyclic dynamic multiobjective optimization problems
Multi-frequency feature fusion dehazing network based on selective state-space
Susceptibility risk assessment of oil and gas pipeline geological hazards in mountainous areas based on data-driven model
Robot trajectory generation using modified hidden Markov model and Lloyd's algorithm in joint space
A novel multivariable grey differential dynamic prediction model with new structures and its application to carbon emissions
A double-layer coding model with a rotation-based particle swarm algorithm for unmanned combat aerial vehicle path planning
NEFCLASS-based neuro fuzzy controller for SRM drive
Post Pareto-optimal pruning algorithm for multiple objective optimization using specific extended angle dominance
A bidirectional recursive gated dual attention unit based RUL prediction approach
Spatial distance join based feature selection
CCNSim: An artificial intelligence enabled classification, clustering and navigation simulator for Social Internet of Things
Dempster-Shafer evidence theory for multi-bearing faults diagnosis
Function structures of information measures for n-polygonal interval-valued intuitionistic fuzzy sets and their application in location selection strategy
Survey on synchronization mechanisms in machine-to-machine systems
Deep reinforcement learning-based collision avoidance strategy for multiple unmanned aerial vehicles
A model for parameter setting based on Bayesian networks
Layered architecture for real time sign recognition: Hand gesture and movement
A neuro-fuzzy method applied to the motors of a stereovision system
A dynamically reconfigurable system based on workflow and service agents
Machine learning-based in-process monitoring for laser deep penetration welding: A survey
Pareto selective error feedback suppression for popularity-diversity balanced session-based recommendation
A lightweight hybrid neural network for remote sensing image super-resolution reconstruction
Output feedback fault-tolerant Q-learning for discrete-time linear systems with actuator faults
A new unsupervised health index estimation method for bearings early fault detection based on Gaussian mixture model
A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis
A new method for repeated localization and matching of tunnel lining defects
Predicting flood energy reduction in vegetated open channel: Comparative assessment of hybrid artificial intelligence techniques
An integrated interval-valued spherical fuzzy Choquet integral based decision making model for prioritizing risk in Fine-Kinney
A partition-based problem transformation algorithm for classifying imbalanced multi-label data
A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data
Deep learning and data augmentation for partial discharge detection in electrical machines
Hyperbolic decision-making based on RBF for diabetic/COVID-19 iris
A Chinese named entity recognition method for landslide geological disasters based on deep learning
Augmented data driven self-attention deep learning method for imbalanced fault diagnosis of the HVAC chiller
ASTTN: An Adaptive Spatial-Temporal Transformer Network for traffic flow prediction
Multiple scattering-assisted data-driven full waveform inversion for pipeline blockage detection
Detail-focused and polarization-guided multi-modality fusion for underwater image clarity enhancing
Robust non-integer predictive control for wind turbine pitch angle regulation in full load regions using deep on-policy learning
EORNet: An improved rotating box detection model for counting juvenile fish under occlusion and overlap
Feature selection considering synergy between features based on soft neighborhood rough sets
BABE: Backdoor attack with bokeh effects via latent separation suppression
Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition
Improving one-dimensional-based environmental sound classification models with progressive projection knowledge distillation from two-dimensional-based models
Transfer learning methods for low-resource speech accent recognition: A case study on Vietnamese language
Joint multi-type feature learning for multi-modality FKP recognition
Artificial intelligence-based estimation of flushing half-cone geometry
Integrated failure analysis using machine learning predictive system for smart management of medical equipment maintenance
Symmetric positive definite convolutional network for surrogate modeling and optimization of modular structures
A comprehensive end-to-end computer vision framework for restoration and recognition of low-quality engineering drawings
DeepFakes detection across generations: Analysis of facial regions, fusion, and performance evaluation
Grid-enabled evolutionary algorithm application in the mechanical optimization problems
Integrating adversarial training strategies into deep autoencoders: A novel aeroengine anomaly detection framework
Active sensor fault tolerant output feedback tracking control for wind turbine systems via T-S model
An automated framework for converting point cloud data to building information modeling with segmentation and refinement
Physics informed Dual-Layer Bidirectional Gated Recurrent Unit for Nuclear-Grade Electric Gate Valves Fault Prognostics
Analysis of the frequency of football players' movement patterns by means of Lorentzian Self-Organizing Maps
Automatic segmentation of curtain wall frame using a context collaboration pyramid network
A novel adaptive noise model selection framework for blind denoising of Scanning Electron Microscopy images
Bayesian and Dempster-Shafer reasoning for knowledge-based fault diagnosis-A comparative study
Temperature field inversion of heat-source systems via physics-informed neural networks
Multipoint-to-point communications for SHE surveillance with QoS and QoE management
Influence maximization on Competitive and Complementary Independent Cascade model based on rating-aware Bidirectional Gated Recurrent Unit
A synchronized heterogeneous autoencoder with feature-level and label-level knowledge distillation for the recommendation
Transfer learning approach to modeling multichannel gate-all-around nanosheet field-effect transistors under work function fluctuations
Coordinated physics-integrated machine learning and its application in tunnel engineering
A parameter-free self-training algorithm based on the three successive confirmation rule
Designing function blocks for distributed process planning and adaptive control
Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research
Computer vision tools for early post-disaster assessment: Enhancing generalizability
Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters
High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT)
Evaluating the reliability and relative weight of the evidence using approximate evidential mutual information
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes
Mamba-enhanced spectral-attentive wavelet network for underwater image restoration
Robust control by adaptive Non-singular Terminal Sliding Mode
An analysis of effect of higher order endothermic/exothermic chemical reaction on magnetized casson hybrid nanofluid flow using fuzzy triangular number
A self-feedback knowledge elicitation approach for chemical reaction predictions
Evolving the neural network model for forecasting air pollution time series
A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing
CSANet: Cross-self attention guided by semantic click embedding for interactive segmentation
A novel vision-based weakly supervised framework for autonomous yield estimation in agricultural applications
CADefender: Detection of unknown malicious AutoLISP computer-aided design files using designated feature extraction and machine learning methods
An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization
A data mining-then-predict method for proactive maritime traffic management by machine learning
A framework to estimate generating capacities of PV systems using satellite imagery segmentation
Improving model calibration in bone marrow cell classification through mixup and center loss fusion
Lighter and faster: A multi-scale adaptive graph convolutional network for skeleton-based action recognition
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
Predictive models for dynamic properties of soils using machine learning approaches: A comprehensive review
Data imputation in the frequency domain using Echo State Networks
Statistical skin color detection method without color transformation for real-time surveillance systems
An integrated feature selection and cluster analysis techniques for case-based reasoning
An intelligent fault diagnosis system for process plant using a functional HAZOP and DBN integrated methodology
Enhancing cross-lingual hate speech detection through contrastive and adversarial learning
Decoding industrial-scale battery manufacturing process through integration of causal graphs into explainable artificial intelligence
Plug-and-play dynamic optimization for three-dimensional Gaussian generation
A neural network-based prediction model for fine pitch stencil-printing quality in surface mount assembly
A data-driven based method for damage detection of combining joints and elements of frame structures using noisy incomplete data
A controlled migration genetic algorithm operator for hardware-in-the-loop experimentation
A learning-based path relinking algorithm for the bandwidth coloring problem
Image-text sentiment analysis based on hierarchical interaction fusion and contrast learning enhanced
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
Ontology-based data integration in EPNet: Production and distribution of food during the Roman Empire
A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance
Spiking neural networks for autonomous driving: A review
Divergence measures for circular intuitionistic fuzzy sets and their applications
Interpretable machine learning in industrial water pump failure prediction: the role of Shapley additive explanations values and data sampling techniques
UnderBagging based reduced Kernelized weighted extreme learning machine for class imbalance learning
Artificial intelligence-driven methodological insights into wireless charging and sustainable energy management schemes: A survey
Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization
Capacity estimation of lithium-ion battery based on soft dynamic time warping, stratified random sampling and pruned residual neural networks
Explained fire resistance machine learning models for compressed steel members of trusses and bracing systems
Application of support vector machines in scour prediction on grade-control structures
A fast online stacked regressor to handle concept drifts
IDM-SPS: Identifying driver module with somatic mutation, PPI network and subcellular localization
Assessment of hybrid kernel function in extreme support vector regression model for streamflow time series forecasting based on a bayesian estimator decomposition algorithm