yusuke1997/dblp-id-title huggingface dataset:
Pareto and decomposition based approaches for the multi-objective home health care routing and scheduling problem with lunch breaks
Merging physics and neural network: A promising tool for prognostics and health management
Multimodal urban mobility solutions for a smart campus using artificial neural networks for route determination and an algorithm for arrival time prediction
Sensitive components of temperature-induced track deformation on cable-stayed bridge impacting dynamic response of high-speed train based on deep learning
Novel criteria for silicone rubber insulators condition monitoring based on leakage current analysis: Considering asymmetric aging and pollution
Cytological image analysis with firefly nuclei detection and hybrid one-class classification decomposition
Application of forecasting strategies and techniques to natural gas consumption: A comprehensive review and comparative study
A Federated Fairness-Aware Incentive Mechanism for medical image classification
Development of data-driven predictive model and enhanced multiobjective optimization to improve the excavation performance of large-diameter slurry shields
A Monte-Carlo-based interval De Novo programming method for optimal system design under uncertainty
Graph matching based reasoner: A symbolic approach to question answering
Statistical Information Assisted Interaction Reasoning for skeleton-only group activity recognition
Liver fibrosis diagnosis support using the Dempster-Shafer theory extended for fuzzy focal elements
Deep learning-based on-site identification and volume measurement of bulk material in construction industry
A feature matching-based method for few-shot multivariate time series anomaly detection with symmetric patch mask Siam Transformer
Implementation of narrow-width automatic digital tuner using popular swarm intelligence technique
Learning and representation of event-discrete situations for individualized situation recognition using fuzzy Situation-Operator Modeling
A modified adaptive guided differential evolution algorithm applied to engineering applications
Intelligent multispectral image recognition by using credibility-based Square Root Cubature Kalman Filters and broad particle swarm learning
Spectrum prior-based and visibility fusion method for underwater image enhancement
Cycle association prototype network for few-shot semantic segmentation
Stabilization of gas-lift oil wells by a nonlinear model predictive control scheme based on adaptive neural network models
DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization
A hybrid evolutionary local search with depth first search split procedure for the heterogeneous vehicle routing problems
Multi-agent policy learning-based path planning for autonomous mobile robots
A hybrid deep learning model integrating interpretability and cloud model for dam deformation and dynamic risk early warning
GOM-MMOEA: Multimodal multi-objective evolutionary algorithm based on global orchestration mechanism
FFT features and hierarchical classification algorithms for cloud images
Deep regression adaptation networks with model-based transfer learning for dynamic load identification in the frequency domain
Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data
Finite element-integrated neural network framework for spatial modal prediction in machine tool structures
Applied artificial intelligence-based equipment condition monitoring in manufacturing industry
Production costs and total completion time minimization for three-stage mixed-model assembly job shop scheduling with lot streaming and batch transfer
Synergistic co-evolution with neural networks for evolutionary optimization
A bidirectional domain separation adversarial network based transfer learning method for near-infrared spectra
Developing a bioaerosol detector using hybrid genetic fuzzy systems
A single-demonstration guided manipulation learning with dexterous hand
Action understanding in low-light and pitch-dark conditions: A comprehensive survey
Short-Term Electricity-Load Forecasting by deep learning: A comprehensive survey
A hybrid reinforced learning system to estimate resilience indicators
Short-term high-speed rail passenger flow prediction by integrating ensemble empirical mode decomposition with multivariate grey support vector machine
Optimization of centrifugal pump performance and excitation force based on machine learning and enhanced non-dominated sorting genetic algorithm III
Energy efficiency in edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification
Pattern-based bootstrapping framework for biomedical relation extraction
Fault-tolerant controller based on artificial intelligence combined with terminal sliding mode and pre-described performance function applied on ship dynamic position stabilization systems
Dual-stage manifold preserving mixed supervised learning for bogie fault diagnosis under variable conditions
Reduced mobility of elderly travelers in airports: Artificial Neural Networks approach
Nuts&bolts: YOLO-v5 and image processing based component identification system
Cubic picture fuzzy topological data analysis with integrating blockchain and the metaverse for uncertain supply chain management
Traffic-signal control reinforcement learning approach for continuous-time Markov games
Evaluation of classification models in limited data scenarios with application to additive manufacturing
Performance optimization of gas turbine engine
Precipitation forecasting by using wavelet-support vector machine conjunction model
Image steganalysis using a bee colony based feature selection algorithm
The multi-module joint modeling approach: Predicting urban crowd flow by integrating spatial-temporal patterns and dynamic periodic relationship
Structural design through reinforcement learning
A novel belief Rényi divergence based on belief and plausibility function and its applications in multi-source data fusion
A novel deep learning-driven approach for predicting the pelvis soft-tissue deformations toward a real-time interactive childbirth simulation
Detection of slight variations in combustion conditions with machine learning and computer vision
A type-2 fuzzy community detection model in large-scale social networks considering two-layer graphs
Multi-objective optimization of thermomechanical-electrical performance in through-silicon via based three-dimensional chip using non-dominated sorting genetic Algorithm-III
PTANet: Triple Attention Network for point cloud semantic segmentation
Machine learning methods comparison by using statistical tests in solar energy forecasting based on weather features
Rapid detection method for insulation performance of vacuum glass based on ensemble learning
Online parallel framework for real-time visual tracking
Assessing ease of reconfiguration of conventional and Holonic manufacturing systems: Approach and case study
Learning planning action models from Internet of Things data in buildings: A concept-driven approach
Real-time transaction processing for autonomic Grid applications
Supporting multi-criteria decision-making processes with unknown criteria weights
Detecting wheel slip from railway operational data through a combined wavelet, long short-term memory and neural network classification method
Single-image HDR reconstruction by dual learning the camera imaging process
Fault location estimation for series-compensated double-circuit transmission line using EWT and weighted RVFLN
Randomization-based neural networks for image-based wind turbine fault diagnosis
Co-evolutionary immuno-particle swarm optimization with penetrated hyper-mutation for distributed inventory replenishment
Adaptive Range Genetic Algorithm: A hybrid optimization approach and its application in the design and economic optimization of Shell-and-Tube Heat Exchanger
Big-data clustering with interval type-2 fuzzy uncertainty modeling in gene expression datasets
Neurodynamics-based configuration transformation with engineering application to robot manipulators using two intelligent approaches
Research of bullheading killing technique based on digital twin
Multivariable correlation feature network construction and health condition assessment for unlabeled single-sample data
A communicability-driven expert influence model for large-scale group decision-making based on complex network theory
Rational software agents with the BDI reasoning model for Cyber-Physical Systems
Dual federated learning for small enterprises with collaborative approaches to filtering and predicting double-spike rates of Phalaenopsis orchids
Grape maturity estimation based on seed images and neural networks
Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation
A wide area measurement based neurocontrol for generation excitation systems
Ensemble CART surrogate-assisted automatic multi-objective rough fuzzy clustering algorithm for unsupervised image segmentation
Machine learning methodologies in video capsule endoscopy-based bleeding analysis: A systematic review of progress and prospects (2008-2024)
Voltage stability evaluation of power system with FACTS devices using fuzzy neural network
Cooperative patrol routing: Optimizing urban crime surveillance through multi-agent reinforcement learning
Artificial intelligence approaches in predicting the mechanical properties of natural fiber-reinforced concrete: A comprehensive review
A graph convolutional encoder and multi-head attention decoder network for TSP via reinforcement learning
ASVMK: A novel SVMs Kernel based on Apollonius function and density peak clustering
Multi-label learning research on joint ensemble strategies for predicting adverse prognosis in patients with coronary heart disease
Modeling bidding decisions and bid markup size for construction projects: A fuzzy approach
Parameters identification of Bouc-Wen hysteresis model for piezoelectric actuators using hybrid adaptive differential evolution and Jaya algorithm
An artificial immune system algorithm for classification tasks. An electronic nose case study
UP-tree & UP-Mine: A fast method based on upper bound for frequent pattern mining from uncertain data
Explainable fault diagnosis method based on statistical features for gearboxes
HANNA: Human-friendly provisioning and configuration of smart devices
DEACO: Adopting dynamic evaporation strategy to enhance ACO algorithm for the traveling salesman problem
Machine-learning-based hybrid recognition approach for longitudinal driving behavior in noisy environment
Dynamic scheduling in flexible and hybrid disassembly systems with manual and automated workstations using reward-shaping enhanced reinforcement learning
Damage localization and characterization using one-dimensional convolutional neural network and a sparse network of transducers
Discrete limited attentional collaborative filtering for fast social recommendation
Detection of zirconium hydrides in transmission electron micrographs using deep neural networks
Reinforcement learning to achieve real-time control of triple inverted pendulum
One-shot multi-focus image stack fusion via focal depth regression
Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization
A group decision making scheduling method for flexible job shop integrating blockchain and rule mining
Efficient network architecture for target detection in challenging low-light environments
Time-sequential hesitant fuzzy entropy, cross-entropy and correlation coefficient and their application to decision making
Logic-driven fuzzy modeling with fuzzy multiplexers
Understanding of air entrainment process in the sewage drop structure using physically-based symbolic intelligence models
Feature selection for high dimensional imbalanced class data using harmony search
Contrastive fusion representation learning for foreground object detection
Dynamic prediction of sulfur dioxide concentration in a single-tower double-circulation desulfurization system based on chemical mechanism and deep learning
Quantum-inspired Swin U-Net transformer for soybean leaf disease detection using multi-scale cross attention fusion and spectral channel transformer blocks with explainable visualization
A parallel compact firefly algorithm for the control of variable pitch wind turbine
Particle swarm optimizer with crossover operation
Explainable conformance checking: Understanding patterns of anomalous behavior
Large-scale Monocular Depth Estimation in the Wild
Deterministic convergence analysis for regularized long short-term memory and its application to regression and multi-classification problems
Kidney stone and tumor segmentation by analyzing medical images using deep learning technique
An infill sampling criterion based on improvement of probability and mapping crowding distance for expensive multi/many-objective optimization
Deep learning assisted physics-based modeling of aluminum extraction process
Semi-supervised human action recognition via dual-stream cross-fusion and class-aware memory bank
MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection
Towards nonideal iris recognition based on level set method, genetic algorithms and adaptive asymmetrical SVMs
Artificial neural network based inverse design of organic light emitting diode structures for optimized optical properties
Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance
Local-Global Attentive Adaptation for Object Detection
Non-intrusive surrogate modeling for parametrized time-dependent partial differential equations using convolutional autoencoders
A deep machine learning algorithm for construction of the Kolmogorov-Arnold representation
Forecasting backdraft with multimodal method: Fusion of fire image and sensor data
Progressive structure enhancement graph convolutional network for face clustering
A deep dive into automated sexism detection using fine-tuned deep learning and large language models
Design and implementation of NN5 for Hong Kong stock price forecasting
Sustainable building material selection: A QFD- and ELECTRE III-embedded hybrid MCGDM approach with consensus building
Collaborative multiple attention mechanisms for vehicle fault prediction
A novel fuzzy clustering based method for image segmentation in RGB-D images
Towards robust and efficient planning execution
Using SVD and SVM methods for selection, classification, clustering and modeling of DNA microarray data
A learning system for automatic Berg Balance Scale score estimation
Asynchronous consensus for multi-agent systems and its application to Federated Learning
Data-driven robust topology optimization using surrogate modeling, model reduction, and machine learning
Adaptive growing-and-pruning neural network control for a linear piezoelectric ceramic motor
Explainable remaining useful life uncertainty prediction method for rolling bearing
Image captioning by diffusion models: A survey
Machine learning-based warm starting of active set methods in embedded model predictive control
Predicting Chinese total retail sales of consumer goods by employing an extended discrete grey polynomial model
Dynamic multi-objective optimization method for production index of cement clinker firing process based on collaborative prediction strategy
Hybrid neural network-based fractional-order sliding mode controller for tracking control problem of reconfigurable robot manipulators using fast terminal type switching law
Mining of frequent patterns with multiple minimum supports
Learning to traverse over graphs with a Monte Carlo tree search-based self-play framework
A general motion controller based on deep reinforcement learning for an autonomous underwater vehicle with unknown disturbances
Density-based one-shot active learning for image segmentation
Prediction of high-performance concrete compressive strength using Decision Tree-Guided Artificial Neural Network Pretraining approach
A novel algorithm for mining maximal frequent gradual patterns
Quantification of event related brain patterns for the motor imagery tasks using inter-trial variance technique
Dense Wide Forward harmonic network to enhance load balancing and fault tolerance in cloud computing through deep learning-driven clustering
Real-time safety diagnostics of Type III hydrogen tanks using acoustic emission testing: Precision dataset construction with representation learning and multi-modal failure classification
One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem
A novel attention-enhanced network for image super-resolution
A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction
Differential recurrent autoencoder for early fault detection of nonstationary industrial processes
Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data
Advanced issues in artificial intelligence and pattern recognition for intelligent surveillance system in smart home environment
Real-time dynamic coordinated optimization control with near-global optimal learning for connected plug-in hybrid electric vehicles
Regenerative braking system modeling by fuzzy Q-Learning
BANet: Small and multi-object detection with a bidirectional attention network for traffic scenes
Proposing a classifier ensemble framework based on classifier selection and decision tree
Automotive fuse & relay box plug-in modules assembly correctness detection system based on machine vision
DRNAS: Differentiable RBF neural architecture search method considering computation load in adaptive control
Fire simulation-based adaptation of SmartRescue App for serious game: Design, setup and user experience
In search of the best fitness function for optimum generation of trajectories for Automated Guided Vehicles
Text-based neural networks for question intent recognition
A Cooperative Switching Algorithm for Multi-Agent Foraging
Super-resolution reconstruction of sequential images based on an active shift via a hybrid attention calibration mechanism
Adaptive cylinder vector particle swarm optimization with differential evolution for UAV path planning
Semantic-aware enhancement: Integrating semantic compensation with 3-Dimensional Lookup Tables for low-light image enhancement
Automated detection and quantification of leakage areas in shield tunnel linings using laser scanning data and deep learning network
JSSM-DTA: Joint Sequence-Structure Modeling with multi-scale transformers for explainable Drug-Target Affinity prediction
A Secure Architecture for intelligent internet of vehicle systems using advanced dimensionality reduction with deep ensemble models
Discriminative feature learning using class-aware and selective transfer adversarial network for partial cross-domain fault diagnosis of gearboxes
A real-time dynamic optimal guidance scheme using a general regression neural network
Dynamic neural networks with hybrid structures for nonlinear system identification
Non-contact weight intelligent estimation based on yak skeleton localization
A new evolutionary clustering search for a no-wait flow shop problem with set-up times
Lightweight object detection algorithm for robots with improved YOLOv5
Multi-filter semi-supervised transformer model for fault diagnosis
Understanding effects of cognitive rehabilitation under a knowledge discovery approach
Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting
Deep Stackelberg heuristic dynamic programming for frequency regulation of interconnected power systems considering flexible energy sources
Conditional inference trees for knowledge extraction from motor health condition data
SenticNet and Abstract Meaning Representation driven Attention-Gate semantic framework for aspect sentiment triplet extraction
Data-driven approaches for surface quality monitoring and prediction based on heterogeneous multi-channel signal fusion in hard part machining
Multi-task learning for multi-label electrocardiogram disease detection via point-level delineation-guided fusion
An invulnerable leader-follower collision-free unmanned aerial vehicle flocking system with attention-based Multi-Agent Reinforcement Learning
End-to-end Go (Weiqi) game record reconstruction from live broadcast videos
Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets
Fault source location of wind turbine based on heterogeneous nodes complex network
Artificial intelligence for monitoring and supervisory control of process systems
Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction
ANN inverse analysis based on stochastic small-sample training set simulation
Computer-assisted tree taxonomy by automated image recognition
Outcome-oriented local explanation using context-aware process patterns
Surface defect detection using distributed features
Inference of compact nonlinear dynamic models by epigenetic local search
Wireless sensors deployment optimization using a constrained Pareto-based multi-objective evolutionary approach
Intelligence distribution for data processing in smart grids: A semantic approach
A novel road damage detection model with efficient attention and Dynamic Snake Convolution
Remaining useful life prediction of rotating machine via long short-term memory network with uncertainty quantification
An improved marine predator algorithm based on epsilon dominance and Pareto archive for multi-objective optimization
Agent-based negotiation and decision making for dynamic supply chain formation
Multisource data-driven intelligent method for detecting surface defects in cold-rolled copper strips
Multi-category ternion support vector machine
Predicting traffic intensity in the urban area of Madrid: Integrating route network topology into a machine-learning model
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
A hybrid deep learning method for the prediction of ship time headway using automatic identification system data
RETRACTED: A comparative study on end-to-end deep learning methods for Electroencephalogram channel selection
Graph neural networks for anomaly detection and diagnosis in hydrogen extraction systems
An exploitation-boosted sine cosine algorithm for global optimization
Transformer framework for depth-assisted UDA semantic segmentation
Construction methods for entropy measures of circular intuitionistic fuzzy sets and their application
A novel grey prediction model based on tensor higher-order singular value decomposition and its application in short-term traffic flow
Building explainable artificial intelligence for reinforcement learning based debt collection recommender system using large language models
Parametric unsteady flow modeling by using meta learning
Recurrent ANN for monitoring degraded behaviours in a range of workpiece thicknesses
BeltDiff: Diffusion-based self-labeled generation system for conveyor belt damage detection
Parallel realization for self-tuning interval type-2 fuzzy controller
DBGSA: A novel data adaptive bregman clustering algorithm
Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer
Multi-To-Binary: A generalizable deepfake detection approach with multi-classification guidance
Target speaker filtration by mask estimation for source speaker traceability in voice conversion
Online prediction of hydro-pneumatic tensioner system of floating platform under internal waves
U-shaped disassembly line balancing problem under interval Type-2 trapezoidal fuzzy set: Modeling and solution method
Modeling and control of wastewater treatment process with time delay based on event-triggered recursive least squares
Knowledge distillation via teacher-modeled sample relationships for skin cancer diagnosis
Simultaneous consideration of time and cost impacts of machine failures on cellular manufacturing systems