yusuke1997/dblp-id-title huggingface dataset:
Semi-supervised hierarchical ensemble clustering based on an innovative distance metric and constraint information
Predicting mechanical properties of magnetorheological elastomers during the manufacturing process using a new machine learning method
Reinforcement learning-based application Autoscaling in the Cloud: A survey
Ensemble machine learning models for estimating mechanical curves of concrete-timber-filled steel tubes
Energy management system scheduling optimization based on an improved generative adversarial network deep reinforcement learning algorithm
A data quality management framework for equipment failure risk estimation: Application to the oil and gas industry
A context feature enhancement and adaptive weighted fusion network for river floating debris detection
Dual-Spatial Normalized Transformer for image captioning
Integration of in-wheel motor sensorless systems and hierarchical direct yaw moment control for distributed drive electric vehicles
Hydropower projects investment estimation artificial intelligence model by similarity measure-based few-shot machine learning
Approaching the social dilemma of autonomous vehicles with a general social welfare function
SocialMix: A familiarity-based and preference-aware location suggestion approach
Precise object detection using adversarially augmented local/global feature fusion
SATPAS: SINR-based adaptive transmission power assignment with scheduling in wireless sensor network
Early breast cancer detection, affected cell classification, and segmentation framework
A preprocessing data-driven pipeline for estimating number of clusters
A MEMCIF-IN method for safety risk assessment in oil and gas industry based on interval numbers and risk attitudes
An efficient boundary prediction method based on multi-fidelity Gaussian classification process for class-imbalance
Comparing binary and real-valued coding in hybrid immune algorithm for feature selection and classification of ECG signals
Design of frequency response masking FIR filter in the Canonic Signed Digit space using modified Artificial Bee Colony algorithm
Advancing the safety of intelligent rail transit systems: A segmentation network for efficient end-of-track degradation feature extraction
Graph-enhanced fault hierarchical perception for Dissolved Gas Analysis in power transformer
Human motion prediction using Mixture-of-Branch Graph Convolutional Network
Deep label relevance and label ambiguity based multi-label feature selection for text classification
Global relationship awareness 3-dimensional object detection using 4-dimensional radar
Face spoofing detection using Heterogeneous Auto-Similarities of Characteristics
Fire-rule-based direct adaptive type-2 fuzzy H ∞ tracking control
The lead-bismuth eutectic corrosion rate prediction and composition optimization of ferritic/martensitic steels by physics-guided neural network
Hydrogen solubility in different chemicals: A modelling approach and review of literature data
Prediction of submarine soil dredging difficulty scale in cutter suction dredger construction with clustering-based deep learning
Autonomous surface crack identification for concrete structures based on the you only look once version 5 algorithm
Observer-based adaptive neural consensus control of nonlinear multi-agent systems under input and output quantization
What not to do in facial infrared thermographic measurements: A post data enhancement
Local instance-based transfer learning for reinforcement learning
A novel Fermatean fuzzy BWM-VIKOR based multi-criteria decision-making approach for selecting health care waste treatment technology
On the effects of data normalization for domain adaptation on EEG data
Real-time monitoring of thermoelastic deformation of a silicon wafer with sparse measurements in the photolithography process using a physics-informed neural network and Fourier neural operator
Research on the application of attention mechanism based multi-model fusion in food recommendation platforms
A heuristic with clustering-routing approach for the Multi-depot Multiple Traveling Salesman Problems in different fields
Multi-view collaborative signal fusion and representation property optimization for recommendation
An explainable machine learning framework for long-term spatiotemporal incident modeling in expanding urban rail networks
A PSO based virtual sample generation method for small sample sets: Applications to regression datasets
A deliberative scheduling technique for a real-time agent architecture
Anomaly detection in ship trajectories using machine learning and dynamic time warping
A consistency regularization-based approach integrating anatomical structural relationships and organ category representations for multi-organ segmentation in pigs
Passable area segmentation for open-pit mine road from vehicle perspective
Novel Aczel-Alsina operations-based linguistic Z-number aggregation operators and their applications in multi-attribute group decision-making process
Wood planer control: Predictive and prescriptive approaches via Automatic State Matching Gaussian processes
Memetic algorithm for the multiple traveling repairman problem with profits
A short-term load forecasting method considering multiple feature factors based on long short-term memory and an improved temporal convolutional network
Type-2 fuzzy elliptic membership functions for modeling uncertainty
Autonomous intelligent control of earth pressure balance shield machine based on deep reinforcement learning
Optimum cost design of reinforced concrete slabs using neural dynamics model
From theory to industry: A survey of deep learning-enabled bearing fault diagnosis in complex environments
Cross-domain human activity recognition based on deviation-graph constrained Non-Negative Matrix Factorization
A new Non-Dominated Sorting Grey Wolf Optimizer (NS-GWO) algorithm: Development and application to solve engineering designs and economic constrained emission dispatch problem with integration of wind power
Data mining based job dispatching using hybrid simulation-optimization approach for shop scheduling problem
Generating the captions for remote sensing images: A spatial-channel attention based memory-guided transformer approach
Extendable machine tool wear monitoring process using image segmentation based deep learning model and automatic detection of depth of cut line
Probabilistic modeling and prediction of far-field bedrock seismic intensity measures based on deep generative models
A privacy preserving diagnostic collaboration framework for facial paralysis using federated learning
Design of improved direct torque control based on a five level torque controller and a new Sugeno-Takagi fuzzy super-twisting controller applied to an induction machine
Enhanced flower image classification: A multimodal approach leveraging Persian texts and deep learning
Maintaining the discovered sequential patterns for sequence insertion in dynamic databases
Multi-Agent Consultation and Uncertainty-guided Voting for text-to-image person retrieval
A dual residual dense network for image denoising
Domain expansion fusion single-domain generalization framework for mechanical fault diagnosis under unknown working conditions
A generic framework for decision fusion in Fault Detection and Diagnosis
Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems
SARA: Span-aware framework with relation-augmented grid tagging for conversational aspect-based sentiment quadruple analysis
Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification
Cuckoo search algorithm with onlooker bee search for modeling PEMFCs using T2FNN
Malware attack and defense game in fractional-order Internet of Underwater Things: Model-based and model-free approaches
An ensemble learning framework for snail trail fault detection and diagnosis in photovoltaic modules
Gesture recognition system for real-time mobile robot control based on inertial sensors and motion strings
Is your mouse attracted by your eyes: Non-intrusive stress detection in off-the-shelf desktop environments
Leveraging falling acceleration and body part clustering for physics-based human fall detection with millimeter wave radar
An intelligent-agent approach for congestion management in 3G networks
Framework for automation of short answer grading based on domain-specific pre-training
Deep ensemble learning for high-dimensional subsurface fluid flow modeling
Dynamic identification of coupler force of heavy haul locomotive: An effective and long-term intelligent measurement method
A Kriging-assisted evolutionary algorithm with multiple infill sampling for expensive many-objective optimization
Towards mechanized harvesting of pineapples: A masked self-attention instance segmentation network and pineapple detection dataset
Hybrid fuzzy logic control with genetic optimisation for a single-link flexible manipulator
Incremental semi-supervised graph learning NMF with block-diagonal
Improving vehicle aeroacoustics using machine learning
Role of noise elimination algorithms in speech processing applications: A comprehensive research and some experimental results
OPHEP-Miner: One-phase high-efficiency pattern mining utilizing tree structures
Consensus self-organized models for fault detection (COSMO)
Nonlinear extended state observer-based model-free near-optimal sliding mode water level controller of an inverted U-tube steam generator
Nonlinear excavation load prediction of hydraulic excavator based on gated recurrent unit neural network
A survey on state-of-the-art deep learning applications and challenges
Imitation learning of a model predictive controller for real-time humanoid robot walking
Enhancing spatiotemporal wind power forecasting with meta-learning in data-scarce environments
Glee: A granularity filter for feature selection
Prediction of slump flow of high-performance concrete via parallel hyper-cubic gene-expression programming
Development of engagement evaluation method and learning mechanism in an engagement enhancing rehabilitation system
A novel Domain Adaptive Deep Recurrent Network for multivariate time series prediction
A fuzzy scheduler for MAS applied to object tracking
Bounded neuro-control position regulation for a geared DC motor
Multi-objective reinforcement learning for bi-objective time-dependent pickup and delivery problem with late penalties
Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection
A survey on closed-loop intelligent frameworks for parallel training of deep neural networks
Optimization and implementation of a photovoltaic pumping system using the sine-cosine​ algorithm
Dual-level information interactive learning model for text-image person Re-identification
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
An efficient approach to mine flexible periodic patterns in time series databases
A systematic review of deep learning approaches for surface defect detection in industrial applications
Low cost, mobile radiation anomaly detection with deep adversarial auto encoders on the edge
Graph theory-based approach for automatic recognition of CAD data
A geometry-aware deep network for depth estimation in monocular endoscopy
Fractional differentiation and non-Pareto multiobjective optimization for image thresholding
INSPIRATION: A reinforcement learning-based human visual perception-driven image enhancement paradigm for underwater scenes
Transcale LQG tracking control for a class of discrete stochastic systems
Natural gas consumption forecasting using an optimized Grey Bernoulli model: The case of the world's top three natural gas consumers
Beamformer configuration design in reverberant environments
Concept coupling learning for improving concept lattice-based document retrieval
Imbalanced data classification: Using transfer learning and active sampling
A surface electromyography based hand gesture recognition framework leveraging variational mode decomposition technique and deep learning classifier
A graph search and neural network approach to adaptive nonlinear model predictive control
Distributed constraint optimization for addressing vessel rotation planning problems
Multi-objective deployment optimization for integrated sensing and communication-enabled unmanned aerial vehicle swarm
A knowledge-based memetic algorithm for integrated scheduling of equipment operation and spare parts manufacturing in distributed assembly flexible job shops
Improving the magnetic resonance images super-resolution with a dual-channel enhancement model incorporating complementary information
An end-to-end semantic-guided infrared and visible registration-fusion network for advanced visual tasks
Reconstructing three-dimensional conductivity distribution of in-situ maize ears using frequency-enhanced residual encoder-decoder network
Q-rung orthopair fuzzy weighted induced logarithmic distance measures and their application in multiple attribute decision making
A distance measure for optimistic viewpoint of the information in interval-valued intuitionistic fuzzy sets and its applications
Adaptive nonlinear integral-backstepping control for frequency stabilization in cyber-physical shipboard microgrids using double deep Q-learning
Low-light Underwater Image Enhancement with Retinex-guided Mamba network
Universal entity linking
Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization
Seismic fragility analysis of steel moment frames using machine learning models
Empirical study on character level neural network classifier for Chinese text
Signature verification (SV) toolbox: Application of PSO-NN
Artificial cognitive control system based on the shared circuits model of sociocognitive capacities. A first approach
Decomposed particle swarm optimization for optimal scheduling in energy hub considering battery lifetime
Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists
Data-driven hierarchical learning approach for multi-point servo control of Pan-Tilt-Zoom cameras
Robust visual tracking based on response stability
Z-cloud fuzzy decision making approach for evaluating next generation agricultural decision support tools
Fault diagnosis of modular multilevel converter based on adaptive chirp mode decomposition and temporal convolutional network
Traffic flow optimization: A reinforcement learning approach
Compared-neighborhood based image dehazing for improved visibility
A general framework for chromosomal anomaly detection based on dual constraints of nearest-neighbor and regionality
High-resolution cross-scale transformer: A deep learning model for bolt loosening detection based on monocular vision measurement
A transferred hybrid surrogate model integrating Gaussian membership virtual sample generation for small sample prediction: Applications in metal tube bending
Multi-label arrhythmia classification using 12-lead ECG based on lead feature guide network
Dual-path multiple attention-guided feature interaction network for Camouflaged Object Detection
A hybrid reasoning mechanism for effective sensor selection for tasks
Nonlinear system modeling and robust predictive control based on RBF-ARX model
A physics-informed learning algorithm in dynamic speed prediction method for series hybrid electric powertrain
Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions
Automated identification of dominant physical processes
A classification method for winter wheat growth stages based on an improved version 8 of the you only look once
Physics-informed learning and control of ionic polymer-metal composite-actuated flexible structure
Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence
Hybrid pathfinding optimization for the Lightning Network with Reinforcement Learning
Explainable attention-based fuzzy residual convolution network for solar cell defect identification and classification
Multivariate Time Series forecasting based on temporal decomposition and graph neural network
A flexible risk assessment approach integrating subjective and objective weights under uncertainty
An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem
Analysis of Von Karman transport considering Stefan blowing, isotropic slip and motile density: Adaptive neuro-fuzzy inference system and optimisation of particle swarms
Collaboratively supervised video instance segmentation: A cost-effective framework with spatio-temporal manipulation
Research on global path planning algorithm based on indoor map partition preprocessing
Physics-based self-adaptive algorithm for estimating the long-term performance of concrete shrinkage
A multi-objective transportation problem under quantity dependent credit period and cost structure policies in triangular intuitionistic fuzzy environment
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions
Image contrast enhancement for preserving mean brightness without losing image features
Subtle Defect Detection Network: More accurately detect subtle defects on the Printed Circuit Board surface
Explainable federated learning for privacy-preserving bangla sign language detection
Deep reinforcement learning explanation-assisted integer variable reduction method for security-constrained unit commitment
Piggybacking on past problem for faster optimization in aluminum electrolysis process design
Short term wind speed forecasting using artificial and wavelet neural networks with and without wavelet filtered data based on feature selections technique
Transferable visual pattern memory network for domain adaptation in anomaly detection
Design of intelligent neuro-structures optimized with Levenberg-Marquardt and Bayesian distribution for dynamical analysis of Caputo-Fabrizio fractional electric circuit models
Gaussian process fusion method for multi-fidelity data with heterogeneity distribution in aerospace vehicle flight dynamics
Intuitionistic fuzzy three-way transfer learning based on rough almost stochastic dominance
Smart investigation of artificial intelligence in renewable energy system technologies by natural language processing: Insightful pattern for decision-makers
Graph Neural Networks with scattering transform for network anomaly detection
Augmented multi-agent algorithm utilizing intelligent search range detection heuristic to solve assembly line sequencing problem: A case study in the truck industry
An evolutionary computational approach for the identification of distribution networks models
Event-triggered reconfigurable reinforcement learning motion-planning approach for mobile robot in unknown dynamic environments
EA-CNN: A smart indoor 3D positioning scheme based on Wi-Fi fingerprinting and deep learning
Multimodal fusion for sensorimotor control in steering angle prediction
A novel transfer learning network with adaptive input length selection and lightweight structure for bearing fault diagnosis
A self-supervised method for learning path-augmented knowledge graph embedding
Field studies of the Artificial Intelligence model for defining indoor thermal comfort to acknowledge the adaptive aspect
Subglacial water presence classification from polar radar data
A Transformer-based Multi-Platform Sequential Estimation Fusion
A robust L 1 controller design for continuous-time TS systems with persistent bounded disturbance and actuator saturation
Three-dimensional ultrasonic self supervised segmentation
Unsupervised domain adaptation for drive-by condition monitoring of multiple railway tracks
Fire resistance rating prediction of timber-to-steel connections and design optimization informed by explainable machine learning
Unpaired robust hashing with noisy labels for zero-shot cross-modal retrieval
Detection and classification of anomalies in oil well production using Open-World Learning
Predicting product quality in continuous manufacturing processes using a scalable robust Gaussian Process approach
Multi-task support vector machine with pinball loss
Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants
Comparing learning classifier systems and Genetic Programming: a case study
Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades
Entropy adjustment by interpolation for exploration in Proximal Policy Optimization (PPO)
PID-type fuzzy logic controller tuning based on particle swarm optimization
Two memetic algorithms for heterogeneous fleet vehicle routing problems
An optimal washout filter for motion platform using neural network and fuzzy logic
Detection-driven adaptive semantic feature weight for multi-modality image fusion
An automatic Darknet-based immunohistochemical scoring system for IL-24 in lung cancer
Enhancing wind power forecasting accuracy under extreme weather: Leveraging a dual-model approach with condition-based classification
Ultraviolet absorption spectrometry with symmetrized dot patterns and deep learning for quantitative analysis of SO2, H2S, CS2 mixed gases
A novel data-efficient double deep Q-network framework for intelligent financial portfolio management
A background model re-initialization method based on sudden luminance change detection
Safe semi-supervised clustering based on Dempster-Shafer evidence theory
Bayesian non-negative matrix factorization with Student's t-distribution for outlier removal and data clustering
Open-pit mine occlusion object detection for unmanned transport vehicles
Engineering self-organizing urban superorganisms
A hybrid probabilistic battery health management approach for robust inspection drone operations
Shape collaborative representation with fuzzy energy based active contour model
YOLO_SRv2: An evolved version of YOLO_SR
Output feedback H ∞ control for uncertain discrete-time hyperbolic fuzzy systems
Penetration game strategy of high dynamic vehicles with constraints of No-fly zones and interceptors
Fermatean fuzzy similarity measures based on Tanimoto and Sørensen coefficients with applications to pattern classification, medical diagnosis and clustering analysis
Artificial Theory of Mind in contextual automated negotiations within peer-to-peer markets
Interval Value Z-probabilistic double hierarchy linguistic multi-criteria group decision making method based on ratio system-peference point-full multiplicative form its application in selection of habitable city
Development of information granules of higher type and their applications to granular models of time series
Enhancing intima-media complex segmentation with a multi-stage feature fusion-based novel deep learning framework
Schema genetic algorithm for fractal image compression
Learned image compression via neighborhood-based attention optimization and context modeling with multi-scale guiding
Novel three-axis accelerometer-based silent speech interface using deep neural network
Improving relevance in a content pipeline via syntactic generalization
LOSN: Lightweight ore sorting networks for edge device environment
Utilize DBN and DBSCAN to detect selective forwarding attacks in event-driven wireless sensors networks
A convolutional neural network for predicting the frequency range of antennas based on randomized designs
Multi-scale camouflaged feature mining and fusion network for liver tumor segmentation
Noise-robust voice conversion using adversarial training with multi-feature decoupling
Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers
Passive dynamic walker controller design employing an RLS-based natural actor-critic learning algorithm
Global contextually guided lightweight network for RGB-thermal urban scene understanding
Implementing Deep Learning for comprehensive aircraft icing and actuator/sensor fault detection/identification