yusuke1997/dblp-id-title huggingface dataset:
Machine learning and CPU (central processing unit) scheduling co-optimization over a network of computing centres
Time series classification based on convolutional network with a Gated Linear Units kernel
International Roughness Index prediction for flexible pavements using novel machine learning techniques
Fractal interpolation in the context of prediction accuracy optimization
Multi-quantile recurrent neural network for feeder-level probabilistic energy disaggregation considering roof-top solar energy
Video process detection for space electrostatic suspension material experiment in China's Space Station
Adaptive technique for physical human-robot interaction handling using proprioceptive sensors
A robust fuzzy twin support vector machine with kernel-target alignment for binary classification
Evolutionary design of marginally robust multivariable PID controller
Performance evaluation of subsea BOP control systems using dynamic Bayesian networks with imperfect repair and preventive maintenance
A Graph-based State Representation Learning for episodic reinforcement learning in task-oriented dialogue systems
A patent recommendation method based on KG representation learning
Vibration-based building health monitoring using spatio-temporal learning model
A framework for robust glaucoma detection: A confidence-aware deep uncertainty quantification approach with a comprehensive assessment for enhanced clinical decision-making
Readiness of artificial intelligence technology for managing energy demands from renewable sources
Thermoeconomic optimization of climate-adaptive solar and wind multi-generation systems using artificial intelligence and thermal energy recovery
CASR-Net: A color-aware super-resolution network for panchromatic image
Recommendations on designing practical interval type-2 fuzzy systems
Short-term offshore wind speed forecasting approach based on multi-stage decomposition and deep residual network with self-attention
Frequent pattern mining-based log file partition for process mining
Understanding aircrew circadian resynchronization following time zone flights
Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis
A novel real-time steel surface defect detection method with enhanced feature extraction and adaptive fusion
BroadGAN: Generative adversarial networks of discriminating separate features based on broad learning
Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data
A novel statistical algorithm for multiclass EEG signal classification
MaNEA: A distributed architecture for enforcing norms in open MAS
Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure
Fault diagnosis using dynamic trend analysis: A review and recent developments
Physics-informed few-shot deep learning for elastoplastic constitutive relationships
Hybrid intelligent system for air quality forecasting using phase adjustment
Learning robust representation and sequence constraint for retrieval-based long-term visual place recognition
Intelligent approach for developing a blood product supply chain to mitigate shortages and Preclude wastage
Proactive dam operation based on inflow prediction by modified long short-term memory for improving resilience
Zonotopic observer designs for uncertain Takagi-Sugeno fuzzy systems
Towards efficient filter pruning via adaptive automatic structure search
Health state estimation of retired batteries based on physical constraints
Fuzzy mutation embedded hybrids of gravitational search and Particle Swarm Optimization methods for engineering design problems
Survey on deep learning based computer vision for sonar imagery
BPSO-Adaboost-KNN ensemble learning algorithm for multi-class imbalanced data classification
Self-supervised learning with push-away strategies for various negative samples
Robust discriminant latent variable manifold learning for rotating machinery fault diagnosis
Enhancing detection performance for robotic harvesting systems through RandAugment
Utilization of adaptive swarm intelligent metaheuristic in designing an efficient photovoltaic interfaced Static Synchronous Series Compensator
An approach based on linguistic spherical fuzzy sets for public evaluation of shared bicycles in China
A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems
CNNRec: Convolutional Neural Network based recommender systems - A survey
A cross dual branch guidance network for salient object detection
Learning parse structure of paragraphs and its applications in search
Representing financial time series based on data point importance
Learning in groups of traffic signals
Collaborative optimization of vessel scheduling and tugboat allocation in seaports using a multi-action deep reinforcement learning framework
Professional domain large model-driven for abnormal electricity consumption behavior detection
Integrated metaheuristic approaches for estimation of fracture porosity derived from fullbore formation micro-imager logs: Reaping the benefits of stand-alone and ensemble machine learning models
Reachable set bounding of output-feedback control for discrete-time large-scale IT-2 fuzzy descriptor systems using distributed event-based broadcasts
Automatic inverse design of second-order differential metasurfaces based on reinforcement learning
Ensemble learning-based nonlinear time series prediction and dynamic multi-objective optimization of organic rankine cycle (ORC) under actual driving cycle
Enhanced brain tumor segmentation for improved medical diagnosis via intuitionistic fuzzy normalized hypergraph cut
A rail defect detection framework under class-imbalanced conditions based on improved you only look once network
Solving general convex nonlinear optimization problems by an efficient neurodynamic model
Platform impact on performance of parallel genetic algorithms: Design and implementation considerations
Versatile topology optimization framework using embedded self-improving neural network
Adaptive enhanced interval type-2 possibilistic fuzzy local information clustering with dual-distance for land cover classification
TSSA-Net: Transposed Sparse Self-Attention-based network for image super-resolution
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
Discrete tree seed algorithm for urban land readjustment
Hierarchical image representation using 3D camera geometry for content-based image retrieval
A multi-tasking model of speaker-keyword classification for keeping human in the loop of drone-assisted inspection
A novel deep learning-based approach for malware detection
Toward sustainable wastewater treatment: Transformer ensembles and multitask learning for energy consumption and quality management
Intelligent optimization of air-floating piston core parameters for homemade frictionless pneumatic actuators based on a new multi-objective particle swarm optimization algorithm with Gaussian mutation and fuzzy logic
Physics-informed partitioned coupled neural operator for complex networks
A class decomposition approach for GA-based classifiers
TopoPIS: Topology-constrained pipe instance segmentation via adaptive curvature convolution
Prediction of concrete failure behavior under high impact using machine learning
Temporal segment graph convolutional networks for skeleton-based action recognition
Engineering the Neural Automatic Passenger Counter
Fuzzy logic-based decision-making for fault diagnosis in a DC motor
Deep convolutional framework for abnormal behavior detection in a smart surveillance system
FedraTrees: A novel computation-communication efficient federated learning framework investigated in smart grids
An explainable decision support system for predictive process analytics
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network
Ishita approach to construct an interval-valued triangular fuzzy regression model using a novel least-absolute based discrepancy
A novel profit-driven framework for model evaluation in credit scoring
Provably-stable neural network-based control of nonlinear systems
A robust dialogue evaluation metric exploiting denoising, pre-training and ensembling
Effective fuzzing testcase generation based on variational auto-encoder generative adversarial network
Identifying IIR filter coefficients using particle swarm optimization with application to reconstruction of missing cardiovascular signals
A novel time-delay multivariable grey model and its application in predicting oil production
Leveraging machine learning for analyzing structural behavior of a composite wind turbine blade
Erratum to "Real-time batch process supervision by integrated knowledge-based systems and multivariate methods" [Engineering Applications of Artificial Intelligence 15 (2003) 555-566]
Trigonometric function-driven interval type-2 trapezoidal fuzzy information measures and their applications to multi-attribute decision-making
Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions
Generalized uncertainty in surrogate models for concrete strength prediction
A collaborative perception method of human-urban environment based on machine learning and its application to the case area
Unsupervised simple Siamese representation learning for blind super-resolution
No-Reference Image Quality Assessment of Magnetic Resonance images with multi-level and multi-model representations based on fusion of deep architectures
Multitarget prediction - A new approach using sphere complex fuzzy sets
Application of personalized federated learning methods to environmental sound classification: A comparative study
Tube-LaneNet: Predict each three-dimensional lane as a completed structure via geometric priors
Multi-objective green scheduling of integrated flexible job shop and automated guided vehicles
On-board detection of rail corrugation using improved convolutional block attention mechanism
Variational autoencoder based on knowledge sharing and correlation weighting for process-quality concurrent fault detection
Weighted matrix-object data clustering guided by matrix-object distributions
Deconfounding enhanced image-based knowledge distillation for fault diagnosis with an application in manufacturing process
GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network
STOWP: A light-weight deep residual network integrated windowing strategy for storage workload prediction in cloud systems
Design of a robust layout with information uncertainty increasing over time: A fuzzy evolutionaryapproach
dacl1k: Real-world bridge damage dataset putting open-source data to the test
A novel meta-learning-based spatio-temporal modeling approach for thermal error prediction of multiple machine tools with few labeled data
A sub-region Unet for weak defects segmentation with global information and mask-aware loss
Leveraging real-time supplement values decomposition and training strategy optimization for accurate wind power forecasting
Effective retrieval and new indexing method for case based reasoning: Application in chemical process design
Efficient disaster detection using drone imagery: A depthwise separable convolutional transformer with majority bounding box voting
Empowered stock market forecasting using Large Language Model on social media content
Distribution-aware network with context and entity attention for scene graph generation
Explainable graph convolutional network based on catastrophe theory and its application to group activity recognition
MSTSENet: Multiscale Spectral-Spatial Transformer with Squeeze and Excitation network for hyperspectral image classification
A model adaptive updating kernel correlation filter tracker with deep CNN features
CFFR-Net: A channel-wise features fusion and recalibration network for surgical instruments segmentation
Generalizable surrogate model features to approximate stress in 3D trusses
Deep Reinforcement Learning with the Random Neural Network
An intelligent diagnosis method for oil-well pump leakage fault in oilfield production Internet of Things system based on convolutional attention residual learning
Fast building of stochastic configuration networks for big data analytics
Multiple kernel approach to semi-supervised fuzzy clustering algorithm for land-cover classification
Stock price prediction based on a complex interrelation network of economic factors
BiKD2: Bidirectional Knowledge Distillation-enhanced explicit graph Disentangling network for review-based recommendation
Semantic knowledge and data modeling of environmental justice
SU-VPDN: A scene understanding method for vehicle part detection
GREEN: Graph reasoning enhanced encoder network for social intention-aware forecast of vessel navigating trajectory
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
Modelling and scheduling distributed assembly permutation flow-shops using reinforcement learning-based evolutionary algorithms
An evolutionary algorithm approach to generate distinct sets of non-dominated solutions for wicked problems
Finite-time dissipative synchronization for state-dependent switching delayed neural networks via sampled-data control
PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network
Machine learning solutions with deep multilayer exogenous networks for distributed denial of service attacks model on networked resources in critical infrastructure
A new robust-possibilistic reliable hub protection model with elastic demands and backup hubs under risk
Reinforcement learning meets bioprocess control through behavior cloning: Real-world deployment in an industrial photobioreactor
A soft sensor modeling framework embedded with domain knowledge based on spatio-temporal deep LSTM for process industry
A novel probabilistic linguistic decision-making model based on discrete evidence fusion and attribute weight optimization
On some bridges to complex evidence theory
Time mesh independent framework for learning materials constitutive relationships
Dynamic neighborhood point cloud registration and optimized path planning for manipulator grasping in complex environments
Prediction of rate of penetration in oil and gas well drilling: A hybrid data-driven approach with multi-stage data preprocessing
Fabrication and characterization of biological biosensors in sports injury treatment: High sensitivity of silver oxide using artificial neural network modeling
A local neuro-fuzzy network for high-dimensional models and optimization
AI-based cognitive framework for evaluating response of concrete structures in extreme conditions
Ensemble-based deep learning model for welding defect detection and classification
A multiple kernel-based kernel density estimator for multimodal probability density functions
Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump
Self-repair of embedded systems
Vision-based automatic order check method for online medicine dispensing cabinet under incomplete data
Radial basis function neural networks for optimal control with model reduction and transfer learning
Dual-channel batch constrained deep Q-learning for sepsis treatment
Dynamic evolution of the genetic search region through fuzzy coding
Research on lightweight network for real-time detection of steel structure corrosion based on knowledge distillation
Potential, challenges and future directions for deep learning in prognostics and health management applications
Enhancing interval-valued time series forecasting through bivariate ensemble empirical mode decomposition and optimal prediction
Extracting recent weighted-based patterns from uncertain temporal databases
Sustainable ductile iron design: Leveraging machine learning and genetic algorithms for critical raw materials reduction
Setpoint temperature estimation to achieve target solvent concentrations in S. cerevisiae fermentations using inverse neural networks and fuzzy logic
Medical image fusion for high-level analysis: A mutual enhancement framework for unaligned photoacoustic tomography and magnetic resonance imaging
Automated void detection in high resolution x-ray printed circuit boards (PCBs) images with deep segmentation neural network
Robust minimum cost consensus models with uncertain asymmetric costs based on linear uncertain-constrained tolerance level
Triplet trustworthiness validation with knowledge graph reasoning
The improved grey model based on particle swarm optimization algorithm for time series prediction
A new approach for evaluating agility in supply chains using Fuzzy Association Rules Mining
A modified multi-agent proximal policy optimization algorithm for multi-objective dynamic partial-re-entrant hybrid flow shop scheduling problem
A Hierarchical Reinforcement Learning framework with imitation learning and Bayesian Actor-Critic for distributed Unmanned Underwater Vehicle encirclement in dynamic maritime environments
Computational steering of a multi-objective evolutionary algorithm for engineering design
Supervised deep learning for the moving morphable components topology optimization framework
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Leakage detection in water distribution networks via 1D CNN deep autoencoder for multivariate SCADA data
Auto-encoding clinical language for zero-shot medical report generation
A novel soft attention-based multi-modal deep learning framework for multi-label skin lesion classification
An information fusion method based on deep learning and fuzzy discount-weighting for target intention recognition
A deep neural network approach to heart murmur detection using spectrogram and peak interval features
EBNAS: Efficient binary network design for image classification via neural architecture search
A fuzzy three-criteria optimization-based currency trading system with adaptive criteria shapes and money management
Variable scale multilayer perceptron for helicopter transmission system vibration data abnormity beyond efficient recovery
Sampling-tailored two-pronged network for long-tailed class imbalance learning
Robust assembly line balancing problem considering preventive maintenance scenarios with interval processing time
BridgeFusionNet: A hybrid convolutional-transformer architecture for road surface crack
A hybrid meta-heuristic approach to design a Bi-objective cosmetic tourism supply chain: A case study
Formulation of the airport collaborative gate allocation problem and the Bee Colony Optimization solution approach
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data
Explainable artificial intelligence of tree-based algorithms for fault detection and diagnosis in grid-connected photovoltaic systems
Cooperative offensive decision-making for soccer robots based on bi-channel Q-value evaluation MADDPG
Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models
Photovoltaic power forecasting: A dual-attention gated recurrent unit framework incorporating weather clustering and transfer learning strategy
m-polar fuzzy graph representation of concept lattice
AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition
A novel feature extraction and deep spiking MobileNet for brain stroke detection using MRI image
Deep reinforcement learning optimizer based novel Caputo fractional order sliding mode data driven controller
State estimation of Lithium-ion Batteries with state space model
An intelligent prediction method for the number of warranty claims using consumers tweets for improving a product service system (PSS) in a company: A case study in laptops industry
Adaptive sliding mode controller based on fuzzy rules for a typical excavator electro-hydraulic position control system
Handling simulation failures of a computationally expensive multiobjective optimization problem in pump design
Randomized greedy multi-start algorithm for the minimum common integer partition problem
Computing fortification games in a tri-level Stackelberg Markov chains approach
Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping
Physics-informed auto-encoder based on digital twin for rolling bearing fault diagnosis under imbalanced sample conditions
Fault detection, diagnosis and recovery using Artificial Immune Systems: A review
Efficient one-step multi-trial electroencephalograph spectral clustering via unsupervised covariance-based representations
Spatiotemporal effect driven landslide susceptibility mapping at fine scales: a deep learning model based on multidimensional feature fusion and source data adaptation
An integrated intelligent decision support framework for the development of photovoltaic solar power
Neural approximations in discounted infinite-horizon stochastic optimal control problems
Robot path planning based on three-dimensional artificial potential field
Machine learning interfaces for modular modelling and operation-based design optimization of solar thermal systems in process industry
Two-layer particle swarm optimization with intelligent division of labor
Towards understanding human actions through long-short-term semantic motion encoding
Adaptive disentangled target representation for unsupervised domain adaptation in remote sensing segmentation
Reducing the dimensionality of dissimilarity space embedding graph kernels
Decentralized PID neural network control for five degree-of-freedom active magneticbearing
Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling
The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics
An attention-based adaptive spatial-temporal graph convolutional network for long-video ergonomic risk assessment
Process monitoring of batch process based on overcomplete broad learning network
Resilient automated intersection control of connected vehicles under denial of service attacks
Extending a human error identification and assessment method considering the uncertainty information for human reliability analysis of robot-assisted rehabilitation
Artificial neural networks: a review of commercial hardware
Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance-based stochastic fractal search algorithm
Comparative analysis of mechanical behavior prediction models for abdominal aortic wall
Ensemble modeling for predicting head vibration based on driving seating conditions: Towards adaptive seating systems
A depth map stitching framework based on salient region matching
Rotor resistance and excitation inductance estimation of an induction motor using deep-Q-learning algorithm
Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction
Fast Fusion Net: Defect detection and fault identification methods for high-voltage overhead power lines
A credibility and consistency-oriented stochastic aggregation framework for heterogeneous multi-attribute large-scale group decision making with several attribute sets
SoftmaxU: Open softmax to be aware of unknowns
Cluster ensemble selection based on maximum quality-maximum diversity
Improved surrogate-assisted whale optimization algorithm for fractional chaotic systems ' parameters identification
A novel ensemble method based on residual convolutional neural network with attention module for transient stability assessment considering operational variability
On enhancing prediction abilities of vision-based metallic surface defect classification through adversarial training
A new metric for individual stock trend prediction