yusuke1997/dblp-id-title huggingface dataset:
Preference-based multi-attribute decision-making method with spherical-Z fuzzy sets for green product design
Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights
Causal explanation of nitrogen oxide emission predictions for fluid catalytic cracking unit based on convergent cross mapping: Predict the future and explain how
Hybrid graph convolutional and deep convolutional networks for enhanced pavement crack detection
An artificial intelligence approach to the efficiency improvement of a universal motor
An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique
A traffic-weather generative adversarial network for traffic flow prediction for road networks under bad weather
A fault diagnosis framework using unlabeled data based on automatic clustering with meta-learning
On the capacity of artificial intelligence techniques and statistical methods to deal with low-quality data in medical supply chain environments
Group decision making based on a novel aggregation operator under linguistic interval-valued Atanassov intuitionistic fuzzy information
InDiA: a framework for workflow interoperability support by means of multi-agent systems
Machine learning-based failure prediction in United States of America lobbying firms: The role of director networks
A self-supervised contrastive change point detection method for industrial time series
An enhanced variable selection and Isolation Forest based methodology for anomaly detection with OES data
Heuristic-driven strategy for boosting aerial photography with multi-UAV-aided Internet-of-Things platforms
An improved genetic algorithm with an overlapping strategy for solving a combination of order batching and flexible job shop scheduling problem
Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification
A fast recognition framework for identifying damage levels in rotating and small target solar greenhouse under complex scenarios
A hybrid multivariate normal boundary intersection approach with post-optimization assisted by mixture design of experiments
Adaptive human in the loop system for identifying non-optimal states in natural product manufacturing process
UACNet: A universal automatic classification network for microseismic signals regardless of waveform size and sampling rate
Advanced code time complexity prediction approach using contrastive learning
Unidirectional RGB-T salient object detection with intertwined driving of encoding and fusion
Granger-guided reduced dual attention long short-term memory for travel demand forecasting during coronavirus disease 2019
Secure and energy-efficient unmanned aerial vehicle-enabled visible light communication via a multi-objective optimization approach
An automatic approach for ontology-based feature extraction from heterogeneous textualresources
Hydraulic informed multi-layer perceptron for estimating discharge coefficient of labyrinth weir
Confidence-driven under-sampling decision forest for imbalanced credit scoring
Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems
Collaborative and Discriminative Subspace Learning for unsupervised multi-view feature selection
AMCC-Net: An asymmetric multi-cross convolution for skin lesion segmentation on dermoscopic images
Artificial intelligence based semantic segmentation on aerial images with variational mode decomposition
Intelligent evaluation of pavement friction at high speeds with artificial intelligence powered three-dimensional laser imaging technology
A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data
Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques
Interval-valued spherical fuzzy quality function deployment methodology: Metaverse collaborative system design application
Geometry-sensitive semantic modeling in visual and visual-language domains for image captioning
Forecasting biogas potential in Türkiye's Central Anatolia region with artificial neural networks and geographical information system-based analysis
An innovative framework for driving behavior Analysis: Privacy-Preserving, explainable, and adaptive Artificial Intelligence in cyber-physical systems
Knowledge-guided and Collaborative Learning Network for Camouflaged Object Detection
Real-time driving danger-level prediction
A two-stream conditional generative adversarial network for improving semantic predictions in urban driving scenes
Design of wind farm layout with non-uniform turbines using fitness difference based BBO
Recent advances in data mining
MSLEFC: A low-frequency focused underwater acoustic signal classification and analysis system
Unsupervised domain adaptation framework with global-local adversarial learning and masked image consistency for fish counting in deep-sea aquaculture
Long short-term memory neural network- decline curve analysis production forecast method for horizontal wells in tight reservoir based on sequence decomposition and reconstruction
Observer-based fuzzy trajectory-tracking controller for wheeled mobile robots with kinematic disturbances
K-means - Laplacian clustering revisited
Interpretable vertical federated learning with privacy-preserving multi-source data integration for prognostic prediction
Distributed decision evaluation model in public transportation systems
Distributed consensus-based extended Kalman filter for partial update
Navigation path extraction for farmland headlands via red-green-blue and depth multimodal fusion based on an improved DeepLabv3+ model
Semantic awareness aggregation for salient object detection in remote sensing images
Leveraging large language models to examine the interaction between investor sentiment and stock performance
Non-autoregressive transformer with fine-grained optimization for user-specified indoor layout
A distributed CSP approach for collaborative planning systems
On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
MAIS-IDS: A distributed intrusion detection system using multi-agent AIS approach
Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library
Smoke and dust recognition in multi-station steelmaking images combining class-distance-based feature selection and random forest
System ADReD for discovering rules based on hyperplanes
A parallel approach for user-centered QoS-aware services composition in the Internet of Things
Interactive algorithms for normalized probabilistic linguistic preference relations in view of the disjunctive probability based consistency and consensus analysis
Critical nodes detection for complex networks via knowledge-guided evolutionary framework
GTSNet: Flexible architecture under budget constraint for real-time human activity recognition from wearable sensor
A feature-based restoration dynamic interaction network for multimodal sentiment analysis
Robust neuro-identification of nonlinear plants in electric power systems with missing sensor measurements
Machine learning techniques for stock price prediction and graphic signal recognition
Hierarchical spatial-temporal transformer with local aggregation for traffic demand prediction
Optimizing machine learning algorithms for fault classification in rolling bearings: A Bayesian Optimization approach
Fuzzification-back propagation neural network-based model prediction for robotic arm positioning error reduction
A novel hybrid model for two-phase image segmentation: GSA based Chan-Vese algorithm
Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis
SFG-Net: Semantic relationship and hierarchical Fusion-based Graph Network for enhanced skeleton-based gait recognition
New players in intelligent transportation: Autonomous Segway in a dynamic environment
Adaptive multi-scale segmentation of surface data using unsupervised learning of seed positions
Micro-defect Varifocal Network: Channel attention and spatial feature fusion for turbine blade surface micro-defect detection
Fuzzy granular computing for evaluating average uncertainty in machine learning models
An improved TLBO based memetic algorithm for aerodynamic shape optimization
Driver's trust assessment based on situational awareness under human-machine collaboration driving
Fuzzy transition probability: A new method for monitoring progressive faults. Part 2: Application examples
Harnessing the potential of artificial neural networks to study autocatalytic chemical reaction effects on the flow dynamics of Boger fluid squeezed between two parallel disks
Application of artificial intelligence as a knowledge creation instrument in tax procedures
Predicting inter-state cyberattacks with graph-text fusion using graph neural networks and large language models
Nearshore optical video object detector based on temporal branch and spatial feature enhancement
Multi-objective optimization of continuous monitoring scheduling for moving targets by earth observation satellites
A monocular-based framework for accurate identification of spatial-temporal distribution of vehicle wheel loads under occlusion scenarios
Real-time individual subway destination prediction: An AdaBoost graph neural network
Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment
Lightweight algorithm based on you only look once version 5 for multiple class defect detection on wind turbine blade surfaces
Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector-producer connectivity
Observer based fault tolerant control design for saturated nonlinear systems with full state constraints via a novel event-triggered mechanism
An equation-discovery approach to earthquake-ground-motion prediction
Applying neuro-fuzzy model dFasArt in control systems
A novel contrastive learning framework for multi-parameter optimization in 3D printing
Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 and Russia-Ukraine war dynamics
Deep cartoon colorizer: An automatic approach for colorization of vintage cartoons
Life prediction of underground structure by sulfate corrosion using Harris hawks optimizing genetic programming
Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement
Hybrid ensemble learning for predicting peak deviatoric stress in soil-rock mixtures from triaxial test data
Memetic Teaching-Learning-Based Optimization algorithms for large graph coloring problems
Ant-based vehicle congestion avoidance system using vehicular networks
Semi-supervised deep learning framework based on modified pyramid scene parsing network for multi-label fine-grained classification and diagnosis of apple leaf diseases
Adaptive progressive learning for minimizing false alarms in fire detection with limited Re-training data
Heterogeneous hypergraph transformer network with cross-modal future interaction for multi-agent trajectory prediction
An efficient m-step lookahead rollout algorithm for profit-oriented selective disassembly sequence planning with operation stochastic failure
Multi-step citywide traffic flow forecasting based on multiscale spatio-temporal transformer
Adaptive neural network control of cable-driven parallel robots with input saturation
Furnace temperature prediction model in municipal solid waste incineration process based on slow feature analysis and sparse stochastic configuration network
Differentially private upsampling for enhanced anomaly detection in imbalanced data
Opposition-based learning memetic algorithm for the maximum intersection of k -subsets problem
Can Bayesian confirmation measures be useful for rough set decision rules?
Visual geo-localization and attitude estimation using satellite imagery and topographical elevation for unmanned aerial vehicles
Supersonic combustion flow field reconstruction based on multi-view domain adaptation generative network in scramjet combustor
Automated adaptations to dynamic software architectures by using autonomous agents
Small object detection using deep feature learning and feature fusion network
A multi-task spatiotemporal deep neural network for predicting penetration depth and morphology in laser welding
Bayesian bidirectional long short-term memory-based kinematics-dynamics fusion for fault-tolerant vehicle state estimation under yaw rate sensor failures
Hybrid multi-criteria decision-making method with a bipolar fuzzy approach and its applications to economic condition analysis
Utilizing neural networks to illustrate the dynamics of viscous fluid flow over curved surface with homogeneous and heterogeneous reactions
A novel grey prediction evolution algorithm for multimodal multiobjective optimization
Theory guided Lagrange programming neural network for subsurface flow problems
An effective method for small object detection in low-resolution images
Deep learning-based Human Body Communication baseband transceiver for WBAN IEEE 802.15.6
Incorporating syntax and semantics with dual graph neural networks for aspect-level sentiment analysis
Formation tracking control with disturbance rejection in leader-follower multi-agent systems under dynamic event-triggered mechanism
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
Translation of statechart agents into a BDI framework for MAS engineering
Implicit local-global feature extraction for diffusion sequence recommendation
Image inpainting algorithm based on inference attention module and two-stage network
Application of reinforcement learning for agent-based production scheduling
Optimized inversion method for thermal parameters of concrete dam under the insulated condition
RPNet: Rotational pooling net for efficient Micro Aerial Vehicle trail navigation
TSK fuzzy modeling for tool wear condition in turning processes: An experimental study
Bottom-up propagation of hierarchical dependency for multi-behavior recommendation
Development of mathematically motivated artificial intelligence models for the prediction of carbonate rock lime saturation factor for cement production
Multi-scale iterative refinement network for RGB-D salient object detection
Inverse design of non-parametric acoustic metamaterials via transfer-learned dual variational autoencoder with latent space-based data augmentation
UIFRS-HAN: User interests-aware food recommender system based on the heterogeneous attention network
UAV trajectory optimization for Minimum Time Search with communication constraints and collision avoidance
Online surface defect segmentation on aluminum strip production line using a lightweight and efficient model
A two-stage deep learning approach for accurate day-ahead electricity price forecasting
Quantum-inspired metaheuristic algorithms for Industry 4.0: A scientometric analysis
Tiny network for faults recognition in freight cars
Human-in-the-loop reinforcement learning for dynamic soaring: A trajectory planning and control integrated system
Entity-relation enhanced bidirectional information fusion for relational triples extraction
BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things
Linking software testing results with a machine learning approach
The use of features selection and nearest neighbors rule for faults diagnostic in induction motors
Loadability margin calculation of power system with SVC using artificial neural network
Loss of coolant accident monitoring and pipe break diagnosis in pressurized water reactors using Bayesian-optimized long short-term memory models
Inverse machine learning for the design of perforated beams: Parent section and material prediction
Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes
A two-stage multi-criteria decision-making method with interval-valued q-Rung Orthopair fuzzy technology for selecting bike-sharing recycling supplier
Tensor completion using patch-wise high order Hankelization and randomized tensor ring initialization
Denoising of the magnetic flux leakage signal using dynamic feature fusion and a multi-scale autoencoder network
A novel spherical fuzzy QFD method and its application to the linear delta robot technology development
Demand response model: A cooperative-competitive multi-agent reinforcement learning approach
Pressure and oxygen excess ratio control of PEMFC air management system based on neural network and prescribed performance
Collaborative recommendation with user generated content
Meta-machine learning framework for robust short-term solar power prediction across different climatic zones
Hierarchical metering data imputation with multi-view learning for accurate electricity consumption prediction
Robust adaptive mixed H 2 /H ∞ interval type-2 fuzzy control of nonlinear uncertain systems with minimal control effort
Benchmarking chemical neural ordinary differential equations to obtain reaction network-constrained kinetic models from spectroscopic data
RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu
Mutual benefits of two multicriteria analysis methodologies: A case study for batch plant design
Handicapped Person Transportation: An application of the Grouping Genetic Algorithm
Random wheel: An algorithm for early classification of student performance with confidence
Adversarial contrastive domain-generative learning for bacteria Raman spectrum joint denoising and cross-domain identification
Multi-agent framework based on smart sensors/actuators for machine tools control and monitoring
Using explanations for determining carcinogenecity in chemical compounds
A serverless satellite edge computing infrastructure to detect lake shoreline change based on contrastive attention siamese transformer
Split-and-match: A Bayesian framework for vehicle re-identification in road tunnels
A non-conventional quality control system to detect surface faults in mechanical front seals
Multi-stage type-α constrained minimum-cost consensus for linguistic Z-number large-scale decision-making
An effective hybrid algorithm with log-sum regularization and modified momentum for restricted Boltzmann machine
A novel malware detection method based on audit logs and graph neural network
A Bi-LSTM mention hypergraph model with encoding schema for mention extraction
Knowledge extraction and alignment for mine ventilation: A knowledge graph construction framework based on large language models
Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches
An efficient method for the numerical integration of measured variable dependent ordinary differential equations
An on-line global-local defect detection framework for wide cold-rolled strip steel
Applying MOEAs to solve the static Routing and Wavelength Assignment problem in optical WDM networks
Pseudo-label attention-based multiple instance learning for whole slide image classification
A knowledge graph for the vulnerability of construction safety system in megaprojects based on accident inversion
Strip-packing using hybrid genetic approach
A new approach based on hybrid ant colony optimization-artificial bee colony algorithm for multi-objective electric vehicle routing problems
Principal space approximation ensemble discriminative marginalized least-squares regression for hyperspectral image classification
Risk evaluation of information technology outsourcing project: An integrated approach considering risk interactions and hierarchies
Bottom-up color-independent alignment learning for text-image person re-identification
Automatic clustering algorithm based on multi-objective Immunized PSO to classify actions of 3D human models
An intuitionistic fuzzy linear mathematical model to determine the hybrid manufacturing system's optimal operation condition
Digital twin-driven reinforcement learning-based operational management for customized manufacturing
Causality-guided fault diagnosis under visual interference in fused deposition modeling
Autonomous smart palm tree harvesting with deep learning-enabled date fruit type and maturity stage classification
Hoeffding bound based evolutionary algorithm for symbolic regression
Learning variable ordering heuristics for solving Constraint Satisfaction Problems
Cross-modal augmentation for few-shot multimodal fake news detection
Exploring the adoption of the metaverse and chat generative pre-trained transformer: A single-valued neutrosophic Dombi Bonferroni-based method for the selection of software development strategies
Dental segmentation from X-ray images using semi-supervised fuzzy clustering with spatial constraints
An efficient skeleton learning approach-based hybrid algorithm for identifying Bayesian network structure
Physics-Informed Fine-Tuning for physics discovery from random and sparse data
Hybrid weights structure model based on Lagrangian principle to handle big data challenges for identification of oil well production: A case study on the North Basra oilfield, Iraq
A deep learning based iterative denoising algorithm for multiple frequency lines recovery
Data-driven optimization for enhanced excavation efficiency in tunnel construction: A case study
A general framework of a Reference Model for Intelligent Integrated Manufacturing Systems (REMIMS)
Analytic hierarchy process based automatic generation control of multi-area interconnected power system using Jaya algorithm
Designing deep neural networks for driver intention recognition
Proportional integral derivative booster for neural networks-based time-series prediction: Case of water demand prediction
TRAMMAS: A tracing model for multiagent systems
Inverse propagation of uncertainties in finite element model updating through use of fuzzy arithmetic
Image-based malware detection based on convolution neural network with autoencoder in Industrial Internet of Things using Software Defined Networking Honeypot
A Multi-Strategy Whale Optimization Algorithm and Its Application
Differential evolution-based weighted soft majority voting for crowdsourcing
Parallel Bayesian optimization using satisficing Thompson sampling for fast charging design of lithium-ion batteries
Hybrid divergence based on mean absolute scaled error for incipient fault detection
Uncertainty-aware deep variational attention network: A trustworthy mechanical fault diagnostic model assisted by out-of-distribution detection
Fault detection and diagnosis in synchronous motors using hidden Markov model-based semi-nonparametric approach
Deep learning-based restoration of multi-degraded finger-vein image by non-uniform illumination and noise
A fast implementation of coalitional model predictive controllers based on machine learning: Application to solar power plants
An RBMs-BN method to RUL prediction of traction converter of CRH2 trains
Trajectory planning based on spatio-temporal reachable set considering dynamic probabilistic risk
Class imbalance-aware domain specific transfer learning approach for medical image classification: Application on COVID-19 detection
Evolution-enhanced multiscale overcomplete dictionaries learning for image denoising
A logic-based relational learning approach to relation extraction: The OntoILPER system
A new hierarchical approach to requirement analysis of problems in automated planning
Interpretable synthetic signals for explainable one-class time-series classification