yusuke1997/dblp-id-title huggingface dataset:
IODRNN - Incremental output decomposition for a valid traffic flow prediction with GNSS data
A coupling deterministic and probabilistic wind energy prediction based on information leakage prevention and distinctive deep learning network
Recognition of facial expressions using Gabor wavelets and learning vector quantization
Data-driven analysis of the process, organization and properties of large-size complex thin-walled die-casting aluminium alloys
Harnessing Large Language Models for question answering over complex tables
Constrained gravitational search algorithm for large scale reservoir operation optimization problem
An ontology-based approach for inventive problem solving
Predicting the seismic performance of large-scale dome structures with hybrid uncertainties based on Bayesian inference
A consensus based group decision making methodology for strategic selection problems of supply chain coordination
Cross-domain few-shot fault diagnosis based on meta-learning and domain adversarial graph convolutional network
Experience inclusion in iterative learning controllers: Fuzzy model based approaches
Data-driven prediction of thermal and flow fields in magnetized Boger-micropolar tri-hybrid nanofluids via deep artificial neural networks
Dynamic topology-constrained spatiotemporal network for cognitive state decoding
U-bilateral attention gate nested U-transformers for medical image segmentation
JobEdKG: An uncertain knowledge graph-based approach for recommending online courses and predicting in-demand skills based on career choices
Understanding what the users say in chatbots: A case study for the Vietnamese language
Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems
Weighted bee colony algorithm for discrete optimization problems with application to feature selection
Online probabilistic goal recognition and its application in dynamic shortest-path local network interdiction
Study on a comprehensive indicator and online classification of early warning of low frequency oscillation in power system
M-FasterSeg: An efficient semantic segmentation network based on neural architecture search
Fusing domain knowledge and reinforcement learning for home integrated demand response online optimization
Path planning for dual-arm fiber patch placement with temperature loss constraints
A new paradigm for safe and accurate design of underground coal gasification coal pillars based on physics-informed neural networks
Close-range docking control for reconfigurable ground vehicles: Model-guided reinforcement learning with robust predictive safety filter
A siren identification system using deep learning to aid hearing-impaired people
Flocking techniques to naturally support navigation in large and open virtual worlds
Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants
An improved fuzzy MULTIMOORA approach for multi-criteria decision making based on objective weighting method (CCSD) and its application to technological forecasting method selection
PAVEN: A Perceptual Algorithm for Versatile video Encoding using Neural networks
SOA in reconfigurable supply chains: A research roadmap
Fuzzy SVM learning control system considering time properties of biped walking samples
Electric bikes charging anomaly detection from alternating current side based on big data
Machine learning for predicting maximum displacement in soil-pile-superstructure systems in laterally spreading ground
Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm
A novel framework for termset selection and weighting in binary text classification
FS-OreDet: Feature enhancement and relationship exploration for boosting few-shot object detector of ore images
Intelligent control of SVC using wavelet neural network to enhance transient stability
Sparse and robust elastic net support vector machine with bounded concave loss for large-scale problems
Pixel-level automatic annotation for forest fire image
Learning to predict ice accretion on electric power lines
An evolutionary framework for Fair Influence Maximization in overlapping communities with multi-transformation optimization
Fuzzy vector quantization for image compression based on competitive agglomeration and a novel codeword migration strategy
DF-LSH: An efficient Double Filters Locality Sensitive Hashing for approximate nearest neighbor search
Multi-robot path planning using learning-based Artificial Bee Colony algorithm
Fuzzy correlational analysis for dynamic consolidation of virtual machines in cloud computing environment
Fake news detection based on shared information and cross-feature ambiguity learning
REINFORCE with Bound-guided Gradient Estimator for the traveling salesman problem toward scale generalization
An efficient entropy based dissimilarity measure to cluster categorical data
Hierarchical Bidirectional Transition Dispersion Entropy-based Lempel-Ziv complexity and its application in fault diagnosis
Prediction of rolling force during isothermal rolling process based on machine learning
Thoughtful and cautious reasoning: A fine-tuned knowledge graph-based multi-hop question answering framework
A cost modelling methodology based on machine learning for engineered-to-order products
Fault template extraction to assist operators during industrial alarm floods
Siamese-based offline word level writer identification in a reduced subspace
A data-driven decision support framework for DEA target setting: an explainable AI approach
A return-to-home unmanned aerial vehicle navigation solution in global positioning system denied environments via bidirectional long short-term memory reverse flightpath prediction
A hybrid approach for artwork recommendation
RBM-GP with novel kernels coupled deep learning model for autism screening
Consistency-guided Multi-Source-Free Domain Adaptation
Combining variants of iterative flattening search
Intelligent initial model and case design analysis of smart factory for shipyard in China
Towards a deep learning-based unified approach for structural damage detection, localisation and quantification
Perturbation defense ultra high-speed weak target recognition
Towards realizing a visual UAV flying environment: A novel approach based aerial imagery to construct a dataset for visual servoing
Some novel Dice similarity measures for picture fuzzy sets and their applications
Multi-step optimal control of complex process: a genetic programming strategy and its application
A modified incremental gravitational search algorithm for short-term hydrothermal scheduling with variable head
Research on significant factors affecting adoption of blockchain technology for enterprise distributed applications based on integrated MCDM FCEM-MULTIMOORA-FG method
Robotic assembly control reconfiguration based on transfer reinforcement learning for objects with different geometric features
A welding sequence optimization method of multilayer thin-walled structures via combined architecture of convolutional long short-term memory-UNet and non-dominated sorting genetic algorithm II
Cloud prediction via spatiotemporal-frequency differential and attentional network
Reconstruction and fusion: Using pseudo physiological modality for pain recognition
A lightweight method for detecting turned white belly fish in ponds using unmanned aerial vehicle imagery
Validation of the reasoning of an entry-level cyber-physical stroke rehabilitation system equipped with engagement enhancing capabilities
Selection process based on new building construction work using square root vague sets and their aggregated operators
Maritime supply chain optimization using robust adversarial reinforcement learning
Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making
Exploring multiobjective evolutionary algorithms for designing Ribonucleic Acid sequences: An experimental analysis
A framework for compression index prediction considering geographical information and feature missing
Enhancing multivariate weather forecasting via temporal attention and spatiotemporal fusion
WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments
A novel framework for improving railway driver performance based on emotional intelligence and job-driven factors: An artificial neural network method
Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things
An intuitionistic fuzzy grey model for selection problems with an application to the inspection planning in manufacturing firms
A robust and adaptive fuzzy logic based differential evolution algorithm using population diversity tuning for multi-objective optimization
ElecBench: A large language model benchmark in electric power domain
Backtracking search algorithm with dynamic population for energy consumption problem of a UAV-assisted IoT data collection system
Automatic polyp segmentation via image-level and surrounding-level context fusion deep neural network
A novel three-way decision method in a hybrid information system with images and its application in medical diagnosis
A critical review of the use of holonic paradigm in traffic and transportation systems
Biologically-inspired two-pathway transformer network for image dehazing
Fuzzy reasoning full implication algorithms based on a class of interval-valued t-norms and its applications
LIVFusion: Luminance-optimized fusion of infrared and visible images with wavelet transformer
Sparsity-based inverse halftoning via semi-coupled multi-dictionary learning and structural clustering
Physics-informed deep learning framework for explainable remaining useful life prediction
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014-2021)
Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring
Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles
Blind source mobile device identification based on recorded call
Robust kernel canonical correlation analysis with applications to information retrieval
A kernel-based control approach for multi-period assets allocation based on lower partial moments
Forecasting peak air pollution levels using NARX models
Temporal-frequency joint hierarchical transformer with dynamic windows for speech emotion recognition
Model-free safe deep reinforcement learning for grid-to-vehicle management considering grid constraints and transformer thermal stress
Robustness-driven belief rule base for complex systems
Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets
A novel deep convolutional image-denoiser network for structural vibration signal denoising
Extended dissipative filtering of discrete-time interval type-2 models with mode-dependent bounded semi-Markovian switching
Unsupervised anomaly detection in images using attentional normalizing flows
Detecting code paraphrased by large language models using coding style features
Graph modeling of multi-scale energy entropy for intelligent fault detection
Structural topology optimization based on diffusion generative adversarial networks
Camera-invariance correlation learning and inter-domain-specific distinct representation for person re-identification
3D semantic interpretation for robot perception inside office environments
Simulation-based decision support system for earthmoving operations using computer vision
Robust facial feature points extraction in color images
Myocardial ischemic classification using a knowledge-guided polar transformer in two-dimensional echocardiography
Multiple lung diseases detection using advanced deep learning model with attention mechanisms and upsampling features
Structure aware transfer function network for low light image enhancement
Enhanced forest fire detection via dynamic multiscale fusion and contextual partial cross features
GLMDriveNet: Global-local Multimodal Fusion Driving Behavior Classification Network
A hybrid Grasshopper Optimization Algorithm and Harris Hawks Optimizer for Combined Heat and Power Economic Dispatch problem
OIS-RF: A novel overlap and imbalance sensitive random forest
Purifying naturalistic images through a real-time style transfer semantics network
Efficient mining of closed high-utility itemsets in dynamic and incremental databases
Metal work-pieces sorting method based on the convolutional neural networks
A data mining framework for detecting subscription fraud in telecommunication
An ensemble transfer learning strategy for short-term electricity load forecasting of data-sparse buildings
Genetic programming of conventional features to detect seizure precursors
TDCMF: Two-dimensional complex mass function with its application in decision-making
A point-of-interest suggestion algorithm in Multi-source geo-social networks
BiS4EV: A fast routing algorithm considering charging stations and preferences for electric vehicles
General type-2 fuzzy multi-switching synchronization of fractional-order chaotic systems
A novel approach to intelligent monitoring of gas composition and light mode of greenhouse crop growing zone on the basis of fuzzy modelling and human-in-the-loop techniques
FBS-enhanced agent-based dynamic scheduling in FMS
Object detection in power line infrastructure: A review of the challenges and solutions
Coverage-guaranteed speech emotion recognition via calibrated uncertainty-adaptive prediction sets
Tunnel-YOLO: An improved You Only Look Once algorithm for real-time shield tunnel lining leakage detection
Fuzzy adaptive cruise control with model predictive control responding to dynamic traffic conditions for automated driving
Unsupervised cross-modal hashing retrieval via Dynamic Contrast and Optimization
Adaptive resource management in dynamic Cyber-Physical Systems using Artificial Intelligence
Quasi-projective synchronization of non-identical time-varying delayed quaternion-valued neural networks with interaction terms: Direct method
A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing
From design methodology to evolutionary design: An interactive creation of marble-like textile patterns
Power load combination forecasting system based on longitudinal data selection
High-dimensional multi-objective optimization of coupled cross-laminated timber walls building using deep learning
Transient electrodynamic simulation of laser beam reflection on inclined surfaces using a generative adversarial network-based deep learning model
Fractional order swarming intelligence for multi-objective load dispatch with photovoltaic integration
BeamsNet: A data-driven approach enhancing Doppler velocity log measurements for autonomous underwater vehicle navigation
Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems
Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network
FeatsFlow: Traceable representation learning based on normalizing flows
Non-singleton genetic fuzzy logic system for arrhythmias classification
Machine learning-driven predictive modeling of magnetohydrodynamic double diffusion of non-Newtonian hybrid ferrofluids with variable thermophysical properties within corrugated cylinders
Comprehensive assessment of failure mode and shear capacity of reinforced concrete circular columns based on data-driven machine learning methods
Reinforcement learning of ball screw feed drive controllers
A user review data-driven supplier ranking model using aspect-based sentiment analysis and fuzzy theory
A computational intelligence-based forecasting system for telecommunications time series
Adversarial black-box attack and defense for convolutional neural network-based power quality disturbance classification
Identification and classification of exfoliated graphene flakes from microscopy images using a hierarchical deep convolutional neural network
Novel online discriminant analysis based schemes to deal with observations from known and new classes: Application to industrial systems
An ensemble-based hybrid decision framework for baggage threat detection using interval-valued spherical fuzzy sets
FabricMamba: A fabric surface defect detection system based on large kernel attention and visual state space
Revisiting the consistency improvement and consensus reaching processes of intuitionistic multiplicative preference relations
Energy-minimizing generalized node network with machine learning optimization for complex fracture problems
Parallax-aware dual-view feature enhancement and adaptive detail compensation for dual-pixel defocus deblurring
A state of the art review on condition assessment models developed for sewer pipelines
Anomaly detection of defect using energy of point pattern features within random finite set framework
Neural networks with quantum gated nodes
An optimized backpropagation neural network models for the prediction of nanomaterials concentration for purification industrial wastewater
Adaptive critic design with weight allocation for intelligent learning control of wastewater treatment plants
Picture fuzzy clustering for complex data
Simulation-based multi-objective optimization towards proactive evacuation planning at metro stations
Transformer models for mining intents and predicting activities from emails in knowledge-intensive processes
Improving sporadic demand forecasting using a modified k-nearest neighbor framework
Skin lesion classification network based on improved MobileViT
Quantized-state-based decentralized neural network control of a class of uncertain interconnected nonlinear systems with input and interaction time delays
Fast trajectory planner with a reinforcement learning-based controller for robotic manipulators
Fuzzy fixed-time multi-source fusion with attention-based neural networks for reliable navigation under satellite signal loss
Improved assessment model for health-care waste management based on dual 2-tuple linguistic rough number clouds
A sliding window solution for the on-line implementation of the Levenberg-Marquardt algorithm
Bridging building information systems: A parameter-efficient semantic approach to construction data interoperability
Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results
Radial projection-based adaptive sampling strategies for surrogate-assisted many-objective optimization
Synthesizing Spreading-out features for generative zero-shot image classification
A memory guided sine cosine algorithm for global optimization
A manifold intelligent decision system for fusion and benchmarking of deep waste-sorting models
A Blockchain integration to support transactions of assets in multi-agent systems
Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction
Self-supervised social attentive deep reinforcement learning-based group recommender system
Deep learning for lameness level detection in dairy cows
Probabilistic machine learning with a cascaded framework for robust failure mode classification and capacity estimation of rectangular concrete-filled steel tube columns under axial compression
Introduction to the Special Issue on Intelligent Control in Systems Engineering and Automation Sciences
An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine
Learning color prompt and position constraint for visual tracking
Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon
Vision-enhanced Peg-in-Hole for automotive body parts using semantic image segmentation and object detection
A decision support system based on a multivariate supervised regression strategy for estimating supply lead times
World model-based reinforcement learning for autonomous ship safe collision avoidance
A biped static balance control and torque pattern learning under unknown periodic external forces
Intelligent analysis method for the global vertical displacement field of foundation pits in dense karst cave areas
Evaluating information retrieval using document popularity: An implementation on MapReduce
Fuzzy game-theoretic optimization for sustainable cloud computing
A Multi-Agent System for guiding users in on-line social environments
Neural session key exchange in the Industrial Internet of Things using hyperchaotic-guided vector-valued artificial neural synchronization
Heterogeneous unmanned aerial vehicles cooperative search approach for complex environments
Novel supervised neuro-stochastic nonlinear autoregressive exogenous networks: A tool for fractional cyber warfare modeling
Sensor set optimization by functional model and Bayesian network for fault diagnosis of turbine generator lubrication system
Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident
Global context aware dual channel pyramid model for robust image shadow removal
Attribute reduction algorithms with an anti-noise mechanism for hybrid data based on fuzzy evidence theory
Nested physics-informed neural network for analysis of transient flows in natural gas pipelines
Decision support model under the fractional orthotriple fuzzy information
Reliability assessment and prediction of rolling bearings based on hybrid noise reduction and BOA-MKRVM
Texture-aware gray-scale image colorization using a bistream generative adversarial network with multi scale attention structure
A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule
A collaborative bi-level optimization approach for smart logistics: Depot location and unmanned aerial vehicle-based pickup-delivery services
Shear capacity prediction and reliability analysis of corroded reinforced concrete beams using deep generative modeling and ensemble learning
AFL-DCS: An asynchronous federated learning framework with dynamic client scheduling
Adaptively multi-modal contrastive fusion network for molecular properties prediction
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces
A two-phase multi-criteria decision-making with interval-valued Pythagorean normal fuzzy information and its application for module hospital site selection in combating COVID-19
Stochastic event-triggered impulsive control of delayed networks under cyber attacks
A new efficient algorithm for short path planning of the vertical take-off and landing air-ground integrated vehicle
Development of a core feature identification application based on the Faster R-CNN algorithm
An integrated multi-scale context-aware network for efficient desnowing
Data mining process to detect suicidal behaviour in out-of-hospital emergency departments
Multi-scale embedding with guided attention for medical image analysis
Generation of synthetic full-scale burst test data for corroded pipelines using the tabular generative adversarial network
Building and benchmarking an Arabic Speech Commands dataset for small-footprint keyword spotting
Deep multi-level feature pyramids: Application for non-canonical firearm detection in video surveillance
Transformer for object detection: Review and benchmark
A lightweight segmentation model based on Segment Anything Model for tongue image segmentation
A focusing-attention deformable convolution and transformer network with multi-scale contour-render for land cover classification in high-resolution remote-sensing images
LIP-MC: Multi-Constraint Label Independent Prediction in label distribution learning
A modeling framework for manufacturing services in Service-oriented Holonic Manufacturing Systems