yusuke1997/dblp-id-title huggingface dataset:
An improved case-based reasoning approach for sustainable rural development applied to strategic responses
Multi-scale multi-instance contrastive learning for whole slide image classification
A stress-dependent strength neural network model for predicting the true triaxial strength of rocks
A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees
Gain estimation of nonlinear dynamic systems modeled by an FBFN and the maximum output scaling factor of a self-tuning PI fuzzy controller
DD-CycleGAN: Unpaired image dehazing via Double-Discriminator Cycle-Consistent Generative Adversarial Network
IMobileTransformer: A fusion-based lightweight model for rice disease identification
Semantic analysis-based recommender system using sequential clustering and convolutional neural network
Friction modelling and compensation for motion control using hybrid neural network models
Learning RGB-D descriptors of garment parts for informed robot grasping
A bidirectional cross global attention based network for aeroengine remaining useful life prediction
A semi-explicit short text retrieval method combining Wikipedia features
Combining dynamic finite state machines and text-based similarities to represent human behavior
Secure distributed estimation under Byzantine attack and manipulation attack
Use of Q-learning approaches for practical medium access control in wireless sensor networks
Computational analysis for thermal and mass transfer in pumping flow of Ellis fluid along with solid particles: Morlet wavelet neural networks approach
PROSIS: An isoarchic structure for HMS control
An improved graph attention network for semantic segmentation of industrial point clouds in automotive battery sealing nail defect detection
Advances in dynamic load identification based on data-driven techniques
Simple yet robust markerless motion capture system using deep learning
Learning thermoacoustic interactions in combustors using a physics-informed neural network
Remote glacier monitoring through semantic fusion of geographic and contextual data
Advanced collision risk estimation in terminal manoeuvring areas using a disentangled variational autoencoder for uncertainty quantification
Condition monitoring of wind turbines with the implementation of spatio-temporal graph neural network
Synthetic data-augmented explainable Vision Transformer for colorectal cancer diagnosis via surface tactile imaging
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
Regularized three-dimensional Gaussians for large-scale building reconstruction with spatial prior
Identification of surface subsidence risk in deep foundation pits using a Mamba fusion model
Condition monitoring for nuclear turbines with improved dynamic partial least squares and local information increment
A deep learning detection framework for gas pipeline leaks suitable for low-power edge devices
Removing visual occlusion of construction scaffolds via a two-step method combining semantic segmentation and image inpainting
Three-level hierarchical model-free learning approach to trajectory tracking control
A new dynamic radius SVDD for fault detection of aircraft engine
A new approach to active rule scheduling
State estimation and inferential control for a reactive batch distillation column
Weighted C-type random 2 satisfiability in discrete hopfield neural network
Blast furnace control by hierarchical similarity search in historical data
Optimizing functionals using Differential Evolution
Intelligent weight generation algorithm based on binary isolation tree
A consistency-driven pseudo-labeling framework for robust functional connectivity modeling in neuropsychiatric disorder diagnosis
Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features
Sharing notes: An academic social network based on a personalized fuzzy linguistic recommender system
Mixed-type micro-defect detection in semiconductor Wafers: A dual-modal feature real-time detection approach via optical topography and lightweight classification network
Dual-sampling feature fusion for three-dimensional object detection using four-dimensional radar and camera
Use of augmented output membership functions to improve control accuracy of second-order fuzzy system
A hypervolume fraction-based adaptive evolutionary algorithm for many-objective optimization and the application to electromagnetic device design
Machinery degradation trend prediction considering temporal distribution discrepancy between degradation stages
Dynamic recognition on plant species and diseases using mean teacher network
A novel triplet loss architecture with visual explanation for detecting the unwanted rotation of bolts in safety-critical environments
Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation
A Grunwald-Letnikov based Manta ray foraging optimizer for global optimization and image segmentation
Self-supervised deep contrastive and auto-regressive domain adaptation for time-series based on channel recalibration
Feature selection and democratic consensus metrics in large-scale group decision-making: A methodological integration
Enhanced collaborative intrusion detection for industrial cyber-physical systems using permissioned blockchain and decentralized federated learning networks
Coupled flows as guidance for model-based policy optimization
Multi-objective optimization for dynamic task allocation in a multi-robot system
Dynamic time scales ensemble framework for similarity-based remaining useful life prediction under multiple failure modes
Formation efficacy assessment of high-speed air vehicle swarms via the continuous belief rule base with heterogeneous data augmentation
Visual localization on point and line combination in dynamic environments
A novel attention-based long short-term memory latency prediction model for stream processing applications
Improving news headline text generation quality through frequent POS-Tag patterns analysis
Self-labeled framework with semi-supervised ball K-means clustering-based synthetic example generation for semi-supervised classification in industrial applications
Assessment of the spatiotemporal prediction capabilities of machine learning algorithms on Sea Surface Temperature data: A comprehensive study
Power transformer health index and life span assessment: A comprehensive review of conventional and machine learning based approaches
Inter-layer explainable variational autoencoder model for multivariate time series anomaly detection
Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems
Multi-granularity siamese transformer-based change detection in remote sensing imagery
BeltTear-seg: A lightweight model for belt tear segmentation with multi-scale feature squeeze attention and enhanced classification decision
Physics-informed neural network for simulating magnetic field of coaxial magnetic gear
Artificial Intelligence-driven visual attention framework for vehicle-pedestrian interaction in Intelligent Transportation System
Periodic decomposition and feature enhancement fusion for traffic forecasting
An enhanced T-spherical fuzzy generalized multi-criteria decisioning model for evaluating the effectiveness of digital transformation in the sustainability of agri-food systems
Predictive process model monitoring using long short-term memory networks
Quantum convolutional neural network-based hybrid network for remote sensing image classification
Multi-scale gradient guided Retinex for images enhancement under transformer oil
A review of speaker verification: Methods, network architectures, tasks and challenges
Detection and localization of false data injection attacks based on multi-scale feature fusion and attention enhancement network in smart grid
Military target detection method based on EfficientDet and Generative Adversarial Network
A multichannel framework for multitask learning fusion in modulation recognition tasks
An interactive consensus reaching model with updated weights of clusters in large-scale group decision making
A study on the use of Edge TPUs for eye fundus image segmentation
A group decision-making framework for public service delivery modes using Dempster-Shafer theory
Creating digital transformation roadmaps for independent audit firms: An interval-valued q-rung orthopair model
Cross-domain self-supervised few-shot learning via multiple crops with teacher-student network
Development and implementation of a robotic moving target system for object recognition testing
Ensemble learning based approach for traffic incident detection and multi-category classification
Decision making with natural language based preferences and psychology-inspired heuristics
Alternative prioritization of freeway incident management using autonomous vehicles in mixed traffic using a type-2 neutrosophic number based decision support system
Response prediction and probabilistic analysis of the vehicle-ballasted track system considering track irregularity based on long-short term memory neural network
Fast evaluation method of post-impact performance of bridges based on dynamic load test data using Gaussian process regression
Bogie doctor: Automated fault diagnosis in high-speed trains via deep learning-based maintenance log analysis
Optimization of high-performance concrete mix ratio design using machine learning
Machine learning surrogates for the optimization of curing ovens
Tool wear state recognition based on linear chain conditional random field model
An innovative chain coding mechanism for information processing and compression using a virtual bat-bug agent-based modeling simulation
A big data driven distributed density based hesitant fuzzy clustering using Apache spark with application to gene expression microarray
A multi-objective deep reinforcement learning framework
Image segmentation, classification and recognition methods for comics: A decade systematic literature review
Improved pairs trading strategy using two-level reinforcement learning framework
Improving physical activity recognition using a new deep learning architecture and post-processing techniques
Approximate hierarchical fuzzy reasoning based on the law of importation
Triplex attention enabled diffusion generative adversarial network for photorealistic image generation from text and images
A survey of recently developed metaheuristics and their comparative analysis
A new heuristic algorithm based on multi-criteria resilience assessment of human-robot​ collaboration disassembly for supporting spent lithium-ion battery recycling
Dual graph-regularized low-rank representation for hyperspectral image denoising
Experimental analysis of optimization techniques on the road passenger transportation problem
Optimal non-autonomous area coverage control with adaptive reinforcement learning
Rock burst early warning utilizing acoustic emission and electromagnetic radiation adaptive noise reduction and multi-image feature fusion: a case study
Machine learning approach for truck-drones based last-mile delivery in the era of industry 4.0
Sustainable maritime inventory routing problem with time window constraints
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Two-dimensional refined composite multi-scale revised ensemble dispersion entropy and its application to fault diagnosis of rolling bearing
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Surrogate-assisted motion planning and layout design of robotic cellular manufacturing systems
Edge computing and server-based high-precision flood level classification system
A learning-based algorithm for turn-based orbital pursuit-evasion problem with reaction-time delay
Design optimizer for planar soft-growing robot manipulators
Building image reconstruction and dimensioning of the envelope from two-dimensional perspective drawings
Incremental growth in modular neural networks
Event-based process monitoring
Neural network energy management strategy for plug-in hybrid electric combine harvesters based on quasi-periodic samples
Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning
Semantic-geometric dual knowledge guided instance segmentation for vehicle components
LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection
Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm
Fusion flow-enhanced graph pooling residual networks for Unmanned Aerial Vehicles surveillance in day and night dual visions
A hybrid model and data driven approach for ballistic prediction with PINN
Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data
Exploiting implicit knowledge for streaming perception object detection
A bilevel approach to enhance prefixed traffic signal optimization
Fuzzy least squares twin support vector machines
Fully cooperative domain adaptive neural network for defect classification in printed circuit boards
Randomized learning-based classification of sound quality using spectrogram image and time-series data: A practical perspective
Fuse MetaFormer with convolutional neural networks for three-dimensional model classification
Dynamic modeling and control of pneumatic artificial muscles via Deep Lagrangian Networks and Reinforcement Learning
Short-term prediction of dissolved oxygen and water temperature using deep learning with dual proportional-integral-derivative error corrector in pond culture
Video surveillance-based multi-task learning with swin transformer for earthwork activity classification
Stability indices for a self-organizing fuzzy controlled robot: A case study
Ensemble fractional fuzzy dispersion entropy: A low bias approach for data analysis
Paying attention to the minute details: Supervised keypoint detection on dense, complex point clouds
Drug-target affinity prediction using rotary encoding and information retention mechanisms
Anti-windup based dynamic output feedback controller design with performance consideration for constrained Takagi-Sugeno systems
Frequency-guided dual-collapse Transformer for low-light image enhancement
Structural asymmetric convolution for wireframe parsing
A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition
Enhancing semantic segmentation with detection priors and iterated graph cuts for robotics
Multiobjective evolution based fuzzy PI controller design for nonlinear systems
Guaranteed cost control analysis and iterative design for constrained Takagi-Sugeno systems
A short-term forecasting for multi-factor time series with multiple linear trend fuzzy information granule and cross-association
DWCL: Dual-Weighted Contrastive Learning for robust multi-view clustering
A novel hybrid fuzzy model for selection of parking lots for vehicles with dangerous goods
A lightweight dual-branch semantic segmentation network for enhanced obstacle detection in ship navigation
An online training strategy based on the transfer learning concept for treating contaminants in surface electromyography
A graph construction method using LBP self-representativeness for outdoor object categorization
Planning with preferences using Multi-Attribute Utility Theory along with a Choquet Integral
On spherical fuzzy distance measure and TAOV method for decision-making problems with incomplete weight information
Dynamic hierarchical aggregation of parallel outputs for aircraft take-off noise identification
An adaptive weighted stacking ensemble framework for photovoltaic power generation forecasting with joint optimization of features and hyperparameters
Single-valued neutrosophic dynamic aggregation information with time sequence preference for IoT technology in supply chain management
Train a central traffic prediction model using local data: A spatio-temporal network based on federated learning
Rank Based Iterative Clustering (RBIC) for indoor localization
Generative artificial intelligence method for vibration data of rolling bearing with multi-domain joint loss and interpretable physical laws
Optimizing COVID-19 medical waste management using goal and robust possibilistic programming
A scale-adaptive positive selection algorithm based on B-cell immune mechanisms for anomaly detection
Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks
A multi-source window-dependent transfer learning approach for COVID-19 vaccination rate prediction
Distributed response to network intrusions using multiagent reinforcement learning
Robust automatic modulation classification using asymmetric trilinear attention net with noisy activation function
Enhanced agent-oriented programming for robot teams
Towards learning-based gyrocompassing
WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network
Neural networks-based formulation for predicting ultimate strength of bolted shear connectors in composite cold-formed steel beams
Key node propagation-based overlapping spammer group detection algorithm on e-commerce platforms
Performance evaluation of low-power and lightweight object detectors for real-time monitoring in resource-constrained drone systems
Efficient self-learning disturbance-resistant control for high-speed flight vehicle based on dual heuristic dynamic programming
Integrating convolutional guidance and Transformer fusion with Markov Random Fields smoothing for monocular depth estimation
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder
Multi-lane detection by combining line anchor and feature shift for urban traffic management
Global-local feature learning for fine-grained food classification based on Swin Transformer
Hybrid email spam detection model with negative selection algorithm and differential evolution
Identification of dynamic diagnostic models with the use of methodology of knowledge discovery in databases
An OOPR-based rose variety recognition system
Deformation-related earth pressure within grid wall-pattern foundation under adjacent surcharge
Optimal tracking control of batch processes with time-invariant state delay: Adaptive Q-learning with two-dimensional state and control policy
Robust spurious drug-drug interaction detection via chi-square-guided bidirectional attention mechanism
Generative modeling for high-dimensional sparse data: Probabilistic feature extraction in high-risk financial regimes
Modular stochastic configuration network based prediction model for NO x emissions in municipal solid waste incineration process
Analyzing the effects of various isotropic and anisotropic kernels on critical heat flux prediction using Gaussian process regression
Rotor imbalance fault classification through unified feature fusion: Combining statistical signal processing with adaptive deep learning features
Unsupervised learning method for underwater concrete crack image enhancement and augmentation based on cross domain translation strategy
Danger assessment of the partial discharges temporal evolution on a polluted insulator using UHF measurement and deep learning
Robust key parameter identification of dedicated hybrid engine performance indicators via K-fold filter collaborated feature selection
Hybrid depthwise convolution bottleneck in a Unet architecture for advanced brain tumor segmentation
Meta-GNAS: Meta-reinforcement learning for graph neural architecture search
Transformer-based deep neural networks for short-term solar power prediction in the Middle East and North Africa regions
Shoreline change prediction along the Cijin coastline of Taiwan using deep learning and satellite imagery
An efficient intelligent task management in autonomous vehicles using AIIOT and optimal kernel adaptive SVM
Enhanced artificial intelligence technique for soft fault localization and identification in complex aircraft microgrids
Enhanced detection of acute leukemia: A hybrid machine learning framework with adaptive weight-optimized level set evolution
Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks
A causal diagnostic framework for artificial intelligence-driven risk assessment and decision support in complex marine environments
Critical managerial factors affecting defense projects success: A comparison between neural network and regression analysis
Transforming physics-informed machine learning to convex optimization
Multi Level Directional Cross Binary Patterns: New handcrafted descriptor for SVM-based texture classification
Research on multi-functional logistics intelligent Unmanned Aerial Vehicle
Intellectual property protection for deep learning model and dataset intelligence
Bridging techniques and applications in sentiment analysis: Approaches, challenges, and emerging trends
Green location routing problem with flexible multi-compartment for source-separated waste: A Q-learning and multi-strategy-based hyper-heuristic algorithm
Recurrence plot and change quantile-based deep supervised and semi-supervised protection for transmission lines connected to photovoltaic plants
EAFNet: Extraction-amplification-fusion network for tiny cracks detection
Optimal manipulator parameter tolerance selection using evolutionary optimization technique
Fusing bi-directional global-local features for single image super-resolution
Uncertainty- and hardness-weighted loss functions for medical image segmentation
A new hybrid data and model-centric predictive approach dedicated to industrial pipe maintenance
Sentiment induced phrase-based machine translation: Robustness analysis of PBSMT with senti-module
Achieving explainability for plant disease classification with disentangled variational autoencoders
Sustainable last mile parcel delivery and return service using drones
A comprehensive review of simulation optimization methods in agricultural supply chains and transition towards an agent-based intelligent digital framework for agriculture 4.0
Continuous finite-time fuzzy control of mechanical systems via non-Lipschitz membership functions
Q-learning based estimation of distribution algorithm for scheduling distributed heterogeneous flexible flow-shop with mixed buffering limitation
Deep feature weighting for naive Bayes and its application to text classification
Detecting object hue bin in the CIECAM02 uniform color space using a multi-layer perceptron for optimal spectrum generation
An improved medical image segmentation framework with Channel-Height-Width-Spatial attention module
A statistical framework for online learning using adjustable model selection criteria
Graph attention U-Net to fuse multi-sensor signals for long-tailed distribution fault diagnosis
A Multi-Swarm Self-Adaptive and Cooperative Particle Swarm Optimization
A data-driven decision-making approach for evaluating the projects according to resilience, circular economy and industry 4.0 dimension
Bayesian posterior misclassification error risk distributions for ensemble classifiers
Light suppression enhancement network for complex night traffic image enhancement
CFENet: A contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals
Long-term forecasting of monthly reservoir inflow using deep and machine-learning-based algorithms
A novel radial base artificial intelligence structures with sequential quadratic programming for magnetohydrodynamic nanofluidic model with gold nanoparticles in a stenotic artery
Koopman-operator-based learning control of air-breathing hypersonic vehicles with nonminimum phase properties
A health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model
Optimal design of a general type-2 fuzzy classifier for the pulse level and its hardware implementation