yusuke1997/dblp-id-title huggingface dataset:
Optimized task distribution based on task requirements and time delay in edge computing environments
AutoMedTS: Automated modeling of physiological time series for surgical suturing action recognition
Methodology and application of digital twin-driven diesel engine fault diagnosis and virtual fault model acquisition
Artificial Neural Network Chaotic PRNG and simple encryption on FPGA
A two-stage model for unified sentence- and document-level biomedical event extraction
A local search-based non-dominated sorting genetic algorithm for solving a multi-objective medical tourism trip design problem considering the attractiveness of trips
Balance-blended adversarial distribution and smooth-suppressed labels refinement network for partial transfer fault diagnosis
Fast fractional-order polar linear canonical transform: Theory and application
American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion
Enhancing camouflaged object detection through contrastive learning and data augmentation techniques
Solution and application of two-dimensional seismic wavefield evolution based on physics-informed neural networks
Weighted multi-source domain unsupervised adaptive network for rotating machinery fault diagnosis based on dual adversarial
CADLRA: A multi-charge prediction method based on the Criminal Act-Driven Law Retrieval Augmentation
Computationally efficient multi-objective optimization of an interior permanent magnet synchronous machine using neural networks
Optimisation of city structures with respect to high wind speeds using U-Net models
A new robust possibilistic mathematical model for organ transplantation network design by organ characteristics, waiting time and multi-mode transportation with a case study
New mist-edge-fog-cloud system architecture for thermal error prediction and control enabled by deep-learning
High frequency volatility forecasting and risk assessment using neural networks-based heteroscedasticity model
Multi-task twin support vector machine with Universum data
Dual-conditional feature constraints based tri-component decoupling domain adaptation network for cross-machine fault diagnosis
Remaining useful life prediction of rolling bearing via composite multiscale permutation entropy and Elman neural network
Electroencephalography-based emotion recognition using a dual-stream multi-scale spatiotemporal convolutional capsule network
Output tracking with constrained inputs via inverse optimal adaptive recurrent neural control
A data-model-fusion prognostic framework for dynamic system state forecasting
Efficient robot localization and SLAM algorithms using Opposition based High Dimensional optimization Algorithm
A novel approach for quality control of automated production lines working under highly inconsistent conditions
Electroencephalography-driven three-dimensional object decoding with multi-view perception diffusion
Multi-criteria evaluation of smart product-service design concept under hesitant fuzzy linguistic environment: A novel cloud envelopment analysis approach
Towards salient object detection via parallel dual-decoder network
A size-transferring radial basis function network for aero-engine thrust estimation
Neural network and neuro-fuzzy assessments for scour depth around bridge piers
Smart sensor/actuator node reprogramming in changing environments using a neural network model
Physics-informed dynamic Bayesian networks for time-dependent reliability prediction of subsea wellhead sealing system with multi-states
CAFE: Knowledge graph completion using neighborhood-aware features
ESEN: Evidence-aware Semantic Enhancement Network for Fact-checking Fake News Detection
Enable importance-aware model cacheability for inference serving
Computer vision detection of foreign objects in coal processing using attention CNN
Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection
TL-TSD: A two-layer traffic sub-area division framework based on trajectory clustering
A novel data clustering algorithm based on modified gravitational search algorithm
A predefined-time stability control method based on fuzzy compensation for Euler-Lagrange systems and its applications to manipulators
Parameter extraction for PSP MOSFET model using hierarchical particle swarm optimization
A severity indicator for unsupervised fault severity shift detection of Heating, Ventilation, and Air Conditioning sub-system faults using a novel adaptive feature weighing method
Localization of myocardial infarction using a multi-branch weight sharing network based on 2-D vectorcardiogram
Weakly supervised temporal action localization via a multimodal feature map diffusion process
Automated imaging and machine learning for soil bacteria classification: Challenges and insights
The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
Multi-label Log-Loss function using L-BFGS for document categorization
Entity-relation extraction for unmanned aerial vehicle power system assembly knowledge based on pre-trained language models and few-shot learning
Scalable multi-agent reinforcement learning for factory-wide dynamic scheduling in semiconductor manufacturing
Weighted symmetric nonnegative matrix factorization and graph-boosting to improve the attributed graph clustering
A real-time lightweight object detection algorithm based on improved you only look once version 8 for unmanned surface vehicle
An automated defect detection method for optimizing industrial quality inspection
An ensemble velocity learning strategy for particle swarm optimization integrating multiple local search mechanisms
Evolving ant direction differential evolution for OPF with non-smooth cost functions
Low-frequency learning quantized control for MEMS gyroscopes accounting for full-state constraints
Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers
Graph Confident Learning for Software Vulnerability Detection
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
WA-Net: Wavelet Integrated Attention Network for Silk and Bamboo character recognition
An investigation of a hybrid CBR method for failure mechanisms identification
Learning multi-level graph attentional representation for thermal infrared object tracking
A novel Hybrid Multi-objective Evolutionary Algorithm for the bi-Objective Minimum Diameter-Cost Spanning Tree (bi-MDCST) problem
An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning
Pattern dynamics in a reaction-diffusion predator-prey model with Allee effect based on network and non-network environments
Physics-constrained neuroforecasting of time-dependent local scour depths at bridges under unsteady flows
Digital workflow for printability checking and prefabrication in robotic construction 3D printing based on Artificial Intelligence planning
Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns
Intelligent adaptive control of ship dynamic positioning using extreme learning machine and disturbance observer
Learning to generate and evaluate fact-checking explanations with transformers
Label embedding asymmetric discrete hashing for efficient cross-modal retrieval
Data-driven estimation of the amount of under frequency load shedding in small power systems
Human gait recognition based on frontal-view sequence using discriminative optical flow feature representations and learning
Research on filtering and classification method for white-feather broiler sound signals based on sparse representation
Universum twin support vector machine with truncated pinball loss
Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application
State-of-the-art review and benchmarking of barcode localization methods
Nonlinear symbolic regression for bit error rate prediction of NOMA systems in 5G cellular communications
Hierarchical multi-scale matched masked autoencoder for industrial multi-rate time series modeling
Satisfied and fair two-sided matching method considering dual-reference with linguistic preference
Nonspecificity, strife and total uncertainty in supervised feature selection
Design and implementation of deep learning-based framework for multi-class fault diagnosis in complex chemical process systems
Adaptive large-scale group interactive portfolio optimization approach based on social network with multi-clustering analysis and minimum adjustment
DAMSLNet: Dual-Attention Multi-Scale Lightweight Network for Plant Disease Classification
Modeling public opinion dissemination in a multilayer network with SEIR model based on real social networks
From density to geometry: Instance segmentation for reverse engineering of optimized structures
Reinforcement learning based compensation methods for robot manipulators
Case-based reasoning for classification in the mixed data sets employing the compound distance methods
Image restoration based on vector quantization for robotic automatic welding
A hybrid artificial intelligence algorithm for fault diagnosis of hot rolled strip crown imbalance
A hybrid estimation of distribution algorithm for solving assembly flexible job shop scheduling in a distributed environment
Active SVM-based relevance feedback using multiple classifiers ensemble and features reweighting
Active learning with Gaussian Process Regression for solving non-linear time-dependent partial differential equations
MIVAE: Multiple Imputation based on Variational Auto-Encoder
Dynamic mask network based on spiking neural convolutional model for missing modality brain tumor segmentation
Using social network analysis and gradient boosting to develop a soccer win-lose prediction model
A fuzzy TOPSIS based approach for e-sourcing
A stratified Bayesian decision-making model for occupational risk assessment of production facilities
Slimmable neural architecture design based on cross architecture and token distillation
Continuous improvement through knowledge-guided analysis in experience feedback
An advanced artificial intelligence framework integrating ensembled convolutional neural networks and Vision Transformers for precise soil classification with adaptive fuzzy logic-based crop recommendations
The integration of emerging technologies in defense: A scientometric overview
Emotion recognition: A smoothed Dirichlet multinomial solution
Automatic epileptic EEG classification based on differential entropy and attention model
Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework
Affine feature extraction: A generalization of the Fukunaga-Koontz transformation
An intelligent hybrid machine learning framework for compressive strength prediction of alkali-activated binders based on fly ash characteristics
The optimization-based fuzzy logic controllers for autonomous ground vehicle path tracking
Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0
Resolution-aware design of atrous rates for semantic segmentation networks
Continual learning for unknown domain fault diagnosis in rotating machinery via Diffusion-Integrated Dynamic Mixture Experts
Path optimization of a flexible robot with a spatial compressed and a direction-guided exploring method
Genetic algorithm for supply planning in two-level assembly systems with random lead times
Comparative study of orthogonal moments for human postures recognition
A hybrid three-way recommendation considering users variability
Two-stage type-2 fuzzy parabolic double frontier data envelopment analysis
Multiple-criteria decision making, feature selection, and deep learning: A golden triangle for heart disease identification
Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction
Training qubit neural network with hybrid genetic algorithm and gradient descent for indirect adaptive controller design
A fast and accurate pest detection model based on adaptive partial convolution and multi-scale feature extraction
Intelligent support of engineering analysis using ontology and case-based reasoning
Unsupervised transfer learning for intelligent health status identification of bearing in adaptive input length selection
SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features
A new approach to failure mode and effect analysis based on regret theory and group satisfaction index in basin-type insulators
Neural network-based self-tuning control for hybrid electric vehicle engines
Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine
Vehicle routing software selection for last mile delivery companies using Fermatean fuzzy-based model
A cooperative architecture for swarm robotic based on dynamic fuzzy cognitive maps
A novel convolutional neural network with global perception for bearing fault diagnosis
A new multi objective optimization approach based on TLBO for location of automatic voltage regulators in distribution systems
Enhancing text generation from knowledge graphs with cross-structure attention distillation
Developing an evolutionary deep learning framework with random forest feature selection and improved flow direction algorithm for NOx concentration prediction
Physics-informed deep learning for predictive risk perception in tunnel construction
Prediction of the transient emission characteristics from diesel engine using temporal convolutional networks
ForgetMe: Benchmarking the selective forgetting capabilities of generative models
Cellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty
A Primary task driven adaptive loss function for multi-task speech emotion recognition
Thermal image-guided complementary masking with multiscale fusion for multi-spectral image semantic segmentation
Development and implementation of induction motor drive using sliding-mode based simplified neuro-fuzzy control
Exploring explicit and implicit graph learning for multivariate time series imputation
A design methodology based on two dimensional fuzzy linguistic variables for attribute control charts with real case applications
Fuzzy normalization-based Multi-Attributive Border Approximation Area Comparison
A complex Jensen-Shannon divergence in complex evidence theory with its application in multi-source information fusion
A survey of intelligent multimedia forensics for internet of things communications: Approaches, strategies, perspectives, and challenges for a sustainable future
Hypergraph-driven soft semantics flexible learning for visible-infrared person re-identification
SSmokeDet: A novel network dedicated to small-scale smoke detection
Development and testing of a virtual simulator for a myoelectric prosthesis prototype - the PRISMA Hand II - to improve its usability and acceptability
Seafloor topography inversion from multi-source marine gravity data using multi-channel convolutional neural network
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Graph neural network with generative adversarial training for node classification on class imbalanced data
A study of factors in the formation of population game cooperation based on mixed learning rules
Detection of error in static and dynamic visual stimulation via electroencephalogram and eye-tracking systems
Backpropagation artificial neural network-based maximum power point tracking controller with image encryption inspired solar photovoltaic array reconfiguration
User-centered design by genetic algorithms: Application to brass musical instrument optimization
The integration of knowledge graph convolution network with denoising autoencoder
Industry 4.0: Quo Vadis?
SPARDA: Sparsity-constrained dimensional analysis via convex relaxation for parameter reduction in high-dimensional engineering systems
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance
Multiscale leapfrog structure: An efficient object detector architecture designed for unmanned aerial vehicles
Naive Bayes classifier - An ensemble procedure for recall and precision enrichment
Airline dynamic pricing with patient customers using deep exploration-based reinforcement learning
An inverse halftoning method for various types of halftone images based on multi-scale generative adversarial network
Reconstructing high-resolution flow fields from low-resolution experimental data based on multi-fidelity physics-informed neural network
Docode 5: Building a real-world plagiarism detection system
Time-delayed fractional grey Bernoulli model with independent fractional orders for fossil energy consumption forecasting
Review of stance detection for rumor verification in social media
A faster heterogeneous parallel computing method for Tucker decomposition
An outranking approach with 2-tuple linguistic Fermatean fuzzy sets for multi-attribute group decision-making
Rapid prediction of thermal stress on satellites via domain decomposition-based Hybrid Fourier Neural Operator
Construction of bearing health indicator under time-varying operating conditions based on Isolation Forest
Optimization-driven artificial intelligence-enhanced municipal waste classification system for disaster waste management
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)
An Insulator defect detection network combining bidirectional feature pyramid network and attention mechanism in unmanned aerial vehicle images
Differential evolution with dimensionally adaptive inheritance
Prediction of rainfall time series using modular soft computingmethods
Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control
Supervised spectral feature learning for fine-grained classification in small data set
Recognition of local fiber orientation state in prepreg platelet molded composites via deep learning
Efficient optimization of photovoltaic array reconfiguration with adaptive neuro-fuzzy inference system-driven maximum power point tracking controller
Extracting and summarizing affective features and responses from online product descriptions and reviews: A Kansei text mining approach
Detecting faults in heterogeneous and dynamic systems using DSP and an agent-based architecture
LUNet: Lightweight U-Net with adaptive scaling for Devanagari handwritten word segmentation
Cross-scale generative adversarial network for crowd density estimation from images
An ensemble machine learning model for predicting the need for icebreaker assistance in ice-covered waters
A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions
Dual-path aggregation transformer network for super-resolution with images occlusions and variability
A confident cross-domain mixup-based network with dynamic label-distribution-aware margin regularization for bearing fault diagnosis under variable working conditions
An intelligent correlation learning system for person Re-identification
A state-aware, hierarchical deep learning framework for automated visual glitch detection in games
Semantic versus instance segmentation in microscopic algae detection
Vision-based method to identify materials transported by dump trucks
Application of differential evolution to multi-objective tuning of vibration spectrum analyzers based on microelectromechanical systems
YOLO-Claw: A fast and accurate method for chicken claw detection
Hierarchical reinforcement learning with adaptive scheduling for robot control
Guaranteed cost control for an overhead crane with practical constraints: Fuzzy descriptor system approach
Reserve-constrained multiarea environmental/economic dispatch based on particle swarm optimization with local search
Granular space, knowledge-encoded deep learning architecture and remote sensing image classification
Improved assessment model for candidate design schemes with an interval rough integrated cloud model under uncertain group environment
Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference
Density ball-based neighborhood rough set model for attribute reduction and classification in uncertain data
Thermo-mesh transformer network for generalizable three-dimensional temperature prediction with mechanism-based representation
High-throughput soybean pods high-quality segmentation and seed-per-pod estimation for soybean plant breeding
Breast tumor classification in ultrasound images using texture analysis and super-resolution methods
MVMA-GCN: Multi-view multi-layer attention graph convolutional networks
Analysis of data for the carbon dioxide capture domain
A lightweight dense relation network with attention for hyperspectral image few-shot classification
Application of fuzzy decision-making based on INSGA-II to designing PV-wind hybrid system
Recognition of oil & gas pipelines operational states using graph network structural features
An automatic college library book recommendation system using optimized Hidden Markov based weighted fuzzy ranking model
Differentially private frequent episode mining over event streams
Tow train routing in narrow aisles: A grid-based approach with blocking constraints
Aspect-based sentiment analysis with semantic and syntactic enhanced multi-layer fusion model
Elements discriminative non-negative matrix factorization for data clustering
Self-supervised temporal autoencoder for egocentric action segmentation
Stock Price Movement Prediction based on Relation Type guided Graph Convolutional Network
A pencil lead break-triggered, adversarial autoencoder-based approach for rapid and robust rail damage detection
Deep interval type-2 generalized fuzzy hyperbolic tangent system for nonlinear regression prediction
Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning
Enhancing reliability of failure modes and effects analysis dealing with linguistic distribution assessments: A consistency based approach
Unsupervised discovery of activities of daily living characterized by their periodicity and variability
Online estimation of electric arc furnace tap temperature by using fuzzy neural networks
Permutation importance based modified guided regularized random forest in human activity recognition with smartphone
HINNet: Inertial navigation with head-mounted sensors using a neural network
Correlation based deep neuro-fuzzy Hammerstein type wind power forecasting model considering asymmetric error characteristics
WiFi-based human activity recognition through wall using deep learning
A sentiment analysis method for COVID-19 network comments integrated with semantic concept
Multi-axis vision transformer for medical image segmentation
Least-squares policy iteration algorithms for robotics: Online, continuous, and automatic
Seismic denoising diffusion restoration model for seismic data processing
A real-time traffic-load-driven framework for asphalt pavement maintenance timing
A novel anomaly detection and classification algorithm for application in tuyere images of blast furnace
An Efficient Point Network for Light Detection and Ranging point cloud perception in large-scale scene
An emotion recognition approach using peripheral physiological signals based on hierarchical gated residuals and receptive field attention
Using fuzzy measures for modeling human perception of uncertainty in artificial intelligence
Identifying high-risk pregnancies in rural areas with machine-manifold learning
A federated Artificial Intelligence testing and experimentation facility for the European energy sector
Ceramic tableware surface defect detection based on deep learning