yusuke1997/dblp-id-title huggingface dataset:
CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification
Finding the k shortest paths by ripple-spreading algorithms
A novel deep ensemble reinforcement learning based control method for strip flatness in cold rolling steel industry
An iterative agent bidding mechanism for responsive manufacturing
Store-and-forward with graph attention: Enhanced multi-agent reinforcement learning for emergency-responsive traffic signal control
A lightweight model based on multi-scale feature fusion for ultrasonic welding surface defect detection
A time and frequency convolutional Autoencoder for anomaly detection in industrial robots based on inertial measurement unit error calibration
Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network
Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation
Secure information sharing in social agent interactions using information flow analysis
A fitting model based intuitionistic fuzzy rough feature selection
A novel fuzzy group decision-making approach based on CCSD method for thermal insulation board selection problem: A case study
Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model
A self-constructing cascade classifier with AdaBoost and SVM for pedestriandetection
Fast brain tumor detection using adaptive stochastic gradient descent on shared-memory parallel environment
Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet
Consensus Subspace Graph Regularization based on prior information for multiplex network clustering
A user-knowledge crowdsourcing task assignment model and heuristic algorithm for Expert Knowledge Recommendation Systems
Fine-tuning pre-trained networks with emphasis on image segmentation: A multi-network approach for enhanced breast cancer detection
Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm
Multi-objective optimisation of sustainable closed-loop supply chain networks in the tire industry
Feature reconstruction graph convolutional network for skeleton-based action recognition
Intelligent decision-making of shield tunneling machine using deep reinforcement learning in complex geological environment
Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated annealing genetic algorithm
A survey on potential of hybrid soft computing techniques using for assessing the geotechnical properties of soil
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration
A semi-supervised framework for generating multi-dimensional taxonomies from asset maintenance documents
Electro-optical and infrared multi-sensor fusion based airborne target perception: A unified framework
An integrated interval type-2 fuzzy BWM-MARCOS model for location selection of e-scooter sharing stations: The case of a university campus
A dual-branch fracture attribute fusion network based on prior knowledge
Discovery of hidden correlations in a local transaction database based on differences of correlations
Neural network based adaptive control of airplane's lateral-directional motion during final approach phase of landing
A competency question-oriented approach for the transformation of semi-structured bioinformatics data into linked open data
Dual-phase feature selection using adaptive neighborhood rough sets and hybrid sine-cosine optimization for classification
An error complementarity-based iterative learning approach via categorical boosting for student performance prediction
A neonatal dataset and benchmark for non-contact neonatal heart rate monitoring based on spatio-temporal neural networks
Kinematic matrix: One-shot human action recognition using kinematic data structure
A spatial temporal graph neural network model for predicting flashover in arbitrary building floorplans
Geometric characteristic learning R-CNN for shockproof hammer defect detection
Forming consensus in the networks of knowledge
Robust Human Activity Recognition using smartwatches and smartphones
Kernel optimization using conformal maps for the minimal complexity machine
Improving weak magnetic detection of ferromagnetic material defects diagnostics via transfer learning-enhanced residual networks
Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer
Metaverse healthcare supply chain: Conceptual framework and barrier identification
Architectural planning with shape grammars and reinforcement learning: Habitability and energy efficiency
T-S fuzzy non-fragile robust slip ratio control incorporating multi-source uncertainty and energy recovery for electro-mechanical brake system
Traffic signal control based on deep reinforcement learning using state fusion and trend reward
Improving grid service's QoS through self-configuring regulation
Genetic algorithms for delays evaluation in networked automation systems
A novel data-driven framework for high-accuracy prediction of hot-rolled strip thickness
Ultimate axial strength prediction of concrete-filled double-skin steel tube columns using soft computing methods
Fuzzy decision-analytics based lithium-ion battery selection for maximizing the efficiency of electric vehicles
A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis
Syntax-aware question generation through dependency relations-guided attention
A clustering enhanced Wasserstein generative adversarial network approach for addressing uncertainty and limited data in photovoltaic output scenarios
Self-organizing map and clustering for wastewater treatment monitoring
Extracting topic-sensitive content from textual documents - A hybrid topic model approach
A multi-objective improved novel discrete particle swarm optimization for emergency resource center location problem
Real-time fuzzy logic-based direct power control for wind energy systems
TFCTL: Time-Frequency Calibrated Transfer Learning for cross domain depression detection
CEBRA: A CasE-Based Reasoning Application to recommend banking products
A 6-dimensional pose estimation method combining sparse viewpoint classification initialization and optical flow-guided iterative refinement
Multiple-step-ahead prediction in control systems with Gaussian process models and TS-fuzzy models
Attention based lightweight asymmetric network for real-time semantic segmentation
Multiple-objective optimization applied in extracting multiple-choice tests
A deep learning model for intelligent home energy management system using renewable energy
Modelling load-settlement behaviour of piles using high-order neural network (HON-PILE model)
A novel design of experiment algorithm using improved evolutionary multi-objective optimization strategy
Stability analysis of multi-criteria decision making techniques for relief centre location selection: A safety-centric relocation model with cost considerations
Strategies of attack-defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment
Automatic scene calibration for detecting and tracking people using a single camera
SVM-based fuzzy rules acquisition system for pulsed GTAW process
Designing a new sustainable Test Kit supply chain network utilizing Internet of Things
Maximum displacement prediction model for steel beams with hexagonal web openings under impact loading based on artificial neural networks
Neural operator-enabled forward and inverse modeling of laser-induced surface acoustic waves and applications in nondestructive evaluation
BGC: Belief gravitational clustering approach and its application in the counter-deception of belief functions
Multi-scale spatial consistency for deep semi-supervised skin lesion segmentation
Vibration mechanism driven discrete wavelet hybrid attention weighted transfer network for partial domain fault diagnosis of gearboxes under data scarcity
An improvement for semantics-based recommender systems grounded on attaching temporal information to ontologies and user profiles
Adaptive neural network tracking control for unknown high-order nonlinear systems: A constructive approximation set based approach
Assembling multipath service function chains in substrate graphs using sharing instances and deep learning
Designing novel deep learning based frameworks for performance improvement of automatic modulation classification
Carbon trading price prediction with spikes: A novel hybrid model framework using heuristic multi-head attention convolutional bidirectional recurrent neural network
Multi-expression programming based prediction of the seismic capacity of reinforced concrete rectangular columns
A lightweight image segmentation network leveraging inception and squeeze-excitation modules for efficient skin lesion analysis
Remaining useful life prediction based on degradation-aware dynamic graph representation learning
No-reference video quality assessment based on spatio-temporal perception information
Fast and scalable algorithms for mining subgraphs in a single large graph
An enhanced beam search algorithm for the Shortest Common Supersequence Problem
Single nighttime image dehazing based on unified variational decomposition model and multi-scale contrast enhancement
Unrecognizable yet identifiable: Image distortion with preserved embeddings
FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos
Feature selection for partially labeled hybrid data via self information, prediction label using k -nearest neighbor and Student-t kernel rough set
A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate-fin heat exchanger design optimization
Data-driven forecasting and its role in enhanced decision-making
SWSEL: Sliding Window-based Selective Ensemble Learning for class-imbalance problems
Incorporating fuzzy approaches for production planning in complex industrial environments: the roll shop case
Confidence-weighted safe semi-supervised clustering
Sensor-based activity recognition of solitary elderly via stigmergy and two-layer framework
Inspection of cracking in stamping parts surfaces using anomaly detection
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
Error-distribution-free kernel extreme learning machine for traffic flow forecasting
Optimized gravitational-based data clustering algorithm
Sketch2Photo: Synthesizing photo-realistic images from sketches via global contexts
Ensemble multi-objective biogeography-based optimization with application to automated warehouse scheduling
A single frame and multi-frame joint network for 360-degree panorama video super-resolution
Thermographic image-based diagnosis of failures in electrical motors using deep transfer learning
A real Shapley value for evidential games with fuzzy characteristic function
Fast inversion of parameters on Jiles-Atherton hysteresis model based on physics-guided deep learning network
Transfer learning from computational fluid dynamics simulation data to experimental data for the fault diagnosis of axial piston pumps
Single-stage overlapping entity and relation extraction based on relation-specific heterogeneous graph neural network
Constructing an enterprise ontology for an automotive supplier
Multilingual entity alignment by abductive knowledge reasoning on multiple knowledge graphs
Intelligent distributed and supervised flow control methodology for production systems
From numerical to heterogeneous linguistic best-worst method: Impacts of personalized individual semantics on consistency and consensus
A simple rapid sample-based clustering for large-scale data
Future of humanity in an artificial intelligence centric world
Convolutional neural networks applied to microtomy: Identifying the trimming-end cutting routine on paraffin-embedded tissue blocks
Fast forward planning by guided enforced hill climbing
Max-one selection of equity prediction models for portfolio construction
Automated novel real-time framework for rainfall data imputation in flood early warning systems
Anomaly detection for non-stationary rotating machinery based on signal transform and memory-guided multi-scale feature reconstruction
Image reconstruction using machine-learned pseudoinverse in electrical capacitance tomography
Industrial fault diagnosis based on active learning and semi-supervised learning using small training set
A game-based meta-heuristic for a fuzzy bi-objective reliable hub location problem
Enhanced knowledge graph cascade learning model for cyber-physical systems
Intelligent design of broadband metasurface based on spectrum prediction neural network and transition simulated annealing algorithm
Breakout Local Search for the Max-Cutproblem
Real-time medical image segmentation via attentive atrous pyramid network
A high-efficiency local and global detector for diatom-based drowning diagnosis
Approximation space for intelligent system design patterns
Influence factor-based transformation method for translating mass function to probability in Dempster-Shafer evidence theory
A collaborative multi-objective meta-heuristic for deadline-constrained multi-workflows scheduling in cloud environment
A novel time series classification model with Transformer for seamless surrounding rock perception in tunnel boring machine tunneling
Feature-topology cascade perturbation for graph neural network
Knowledge-based real-time scheduling for gas supply network using cooperative multi-agent reinforcement learning and predictive functional range control
HK-SEIR model of public opinion evolution based on communication factors
Semi-automatic terminology ontology learning based on topic modeling
A review of soft techniques for SMS spam classification: Methods, approaches and applications
Efficient Temporal Adjacent Transformer for remaining useful life prognostics
Nonlinear time-varying system response modeling via a real-time updated Runge-Kutta physics-informed neural network
Parameters identification of magnetorheological damper based on particle swarm optimization algorithm
GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus
Combining CSP and MPC for the operational control of water networks
Two-stage surrogate modeling for data-driven design optimization with application to composite microstructure generation
A risk assessment framework for online transactions via Graph Neural Networks and efficient probabilistic prediction
Adaptive recurrent neural network with Lyapunov stability learning rules for robot dynamic terms identification
Multimodal Emotion Recognition via Convolutional Neural Networks: Comparison of different strategies on two multimodal datasets
An intelligent approach for predicting overbreak in underground blasting operation based on an optimized XGBoost model
AI techniques in modelling, assignment, problem solving and optimization
Knowledge-data synergy enabling zero-shot composite fault diagnosis in sucker-rod pumping systems
Instance segmentation algorithm for sorting dismantling components of end-of-life vehicles
Application of artificial intelligence CFD based on neural network in vapor-water two-phase flow
Optimal toolpath planning strategy prediction using machine learning technique
Monocular three-dimensional object detection for proximity monitoring in human-machine collision warning systems on construction sites
Automatic text summarization techniques: A categorization, evolution and future scope
Stock time series visualization based on data point importance
Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop
Temporal convolutional approach with residual multi-head attention mechanism for remaining useful life of manufacturing tools
Transportation decisions in supply chain management using interval-valued q-rung orthopair fuzzy soft information
Global and local information integrated network for remaining useful life prediction
Wind power prediction based on hybrid deep learning and Monte Carlo simulation
Multi-objective scheduling technique based on hybrid hitchcock bird algorithm and fuzzy signature in cloud computing
Corrigendum to "Remaining useful life prediction based on degradation-aware dynamic graph representation learning" [Eng. Appl. Artifi. Intell. 163 5 2026 113140]
Exploring knee joint moment prediction models for landing task with various model architecture: Leveraging inertial measurement unit sensors data and subject-specific attributes
Nonlinear modeling of soil deformation modulus through LGP-based interpretation of pressuremeter test results
Hierarchical binary diffing with inductive code representation learning with graph sampling-and-aggregate
Modeling category and multi-level user intentions for session-based recommendation
Semantic-based approach to improve the description and the discovery of Linguistic Web Services
Use deep transfer learning for efficient time-series updating of subsurface flow surrogate model
A hybrid detection method for YouTube fake news using related video data
Pareto-based evolutionary computational approach for wireless sensor placement
A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting
Real-time transient stability estimation of power system considering nonlinear limiters of excitation system using deep machine learning: An actual case study in Iran
Energy-efficient routing protocol for underwater wireless sensor networks using a hybrid metaheuristic algorithm
Novel data condensing method using a prototype's front propagation algorithm
A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem
Multiple graph regularized semi-supervised nonnegative matrix factorization with adaptive weights for clustering
A global linear attention incorporated video transformer for robust sintering condition recognition
Supervised feature selection for linear and non-linear regression of L ⁎ a ⁎ b ⁎ color from multispectral images of meat
Speaker identification in emotional talking environments based on CSPHMM2s
Weight prediction of the oxidation film in aircraft aluminium alloy components with small samples using data augmentation and random forest
Neuro inspired deep learning based secure and energy efficient routing with autonomous intrusion prevention in wireless sensor networks
Data-driven modelling of the FRC network for studying the fluid flow in the conduit system
Adversarial attack-defense framework for enhancing the robustness of power insulator detection in cloud-edge deployment
Deep image stitching for panoramic stereoscopic live broadcast system
Fully hesitant fuzzy linear programming with hesitant fuzzy numbers
Differentiable sampling based efficient architecture search for automatic fault diagnosis
A Double Deep Q-Network framework for a flexible job shop scheduling problem with dynamic job arrivals and urgent job insertions
A novel framework for assessing determinant risk factors on cyber (dis)trust behaviors of netizens in deepfakes
Beta Scale Invariant Map
Long time series prediction of milling force via a hybrid multi neuro-network-based algorithm
A diffusion model and knowledge distillation framework for robust coral detection in complex underwater environments
An improved weighted one class support vector machine for turboshaft engine fault detection
Radon averaging: A practical approach for designing rotation-invariant models
Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective
A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes
A novel feature based ensemble learning model for indoor localization of smartphone users
Neural Arithmetic Logic Units with Two Transition Matrix and Independent Gates
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection
Innovative integration of machine learning and colorimetry for precise potential of hydrogen monitoring in printed hydrogel sensors
Dual Stimulus-Organism-Response paradigms cross-domain aware model for rumor detection
Interweave features of Deep Convolutional Neural Networks for semantic segmentation
Artificial intelligence based real-time earthquake prediction
An automatic kriging machine learning method to calibrate meta-heuristic algorithms for solving optimization problems
An efficient multi-modal sensors feature fusion approach for handwritten characters recognition using Shapley values and deep autoencoder
Short-term dependency of a class of nonlinear continuous time dynamic systems
Enhancing diabetes complications prediction through knowledge graphs and convolutional networks
Towards reduction of bending-extension coupling in unsymmetrical laminates using multi-objective heat transfer search
An encoder-decoder approach to mine conditions for engineering textual data
A noise generative network to reduce the gap between simulation and measurement signals in mechanical fault diagnosis
PPLC: Data-driven offline learning approach for excavating control of cutter suction dredgers
A comprehensive survey of machine learning-based techniques for anomaly detection in ship behavior within maritime transportation systems
Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictions
An improved marine predators algorithm for shape optimization of developable Ball surfaces
The role of transformer models in advancing blockchain technology: A systematic survey
Deep learning-based time series forecasting for bearing remaining useful life: Recent advances, hybrid architectures, and targeted enhancements
An Artificial Intelligence paradigm for troubleshooting software bugs
Study on image acquisition and camera positioning of depth recognition model in the tobacco curing stage
Computational narrative mapping for the acquisition and representation of lessons learned knowledge
Real-time defect detection of saw chains on automatic assembly lines based on residual networks and knowledge coding
A fast community detection algorithm based on coot bird metaheuristic optimizer in social networks
Giving commands to a self-driving car: How to deal with uncertain situations?
A derivative, integral, and proportional features extractor for fault detection in dynamic processes
Few-shot structural repair decision of civil aircraft based on deep meta-learning
Navigation of autonomous mobile robots in dynamic unknown environments based on dueling double deep q networks
Multi-scale frequency attention fusion network for infrared and visible image fusion
SF-GRA method based on cumulative prospect theory for multiple attribute group decision making and its application to emergency supplies supplier selection
A context layered locally recurrent neural network for dynamic system identification
Collision risk prediction for visually impaired people using high level information fusion
Artificial intelligence-enabled defect detection method and engineering application of ceramic mug
i-SISSO: Mutual information-based improved sure independent screening and sparsifying operator algorithm
A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art
Fault self-healing: A biological immune heuristic reinforcement learning method with root cause reasoning in industrial manufacturing process
A novel convolution transformer-based network for histopathology-image classification using adaptive convolution and dynamic attention
Adaptive controller with fuzzy rules emulated structure and its applications
Sequential Transformer via an Outside-In Attention for image captioning
Bearing life prediction via a novel temporal convolutional network with embedded uncertainty quantification