yusuke1997/dblp-id-title huggingface dataset:
Intelligent fault diagnosis scheme for rotating machinery based on momentum contrastive bi-tuning framework
Applying social computing to generate sound clouds
CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images
An improved whale optimization algorithm based on multilevel threshold image segmentation using the Otsu method
A systematic review on content-based video retrieval
A comparative study of machine learning methods to predict the thermal and energy performance of a small-scale solar chimney
Deep hierarchical distillation proxy-oil modeling for heterogeneous carbonate reservoirs
On the regulation of personal data distribution in online advertising platforms
Research on echo chamber effect and multiple quantum aggregation method in large scale group decision making
Use of particle swarm optimization for machinery fault detection
Near-Earth Asteroid impact dates: A Reference Ideal Method (RIM) approach
Attentional ensemble model for accurate discharge and water level prediction with training data enhancement
A comparison of memetic algorithms for the spread spectrum radar polyphase codes design problem
A new machine learning model based on the broad learning system and wavelets
A data clustering approach based on universal gravity rule
Multi-fidelity machine learning based uncertainty quantification of progressive damage in composite laminates through optimal data fusion
A patch-based deep learning framework with 5-B network for breast cancer multi-classification using histopathological images
Parameter optimization of PEMFC model with improved multi-strategy adaptive differential evolution
ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models
Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction
A model predictive trajectory tracking control strategy for heavy-duty unmanned tracked vehicle using deep Koopman operator
A modified mixture of experts network structure for ECG beats classification with diverse features
TPET: Two-stage Perceptual Enhancement Transformer Network for Low-light Image Enhancement
A multi-AUV cooperative hunting method in 3-D underwater environment with obstacle
Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain-computer interface
Multiscale Feature Fusion Network with Morphological Perception Function for Liver Vessel Segmentation
A dual-module cooperative control method for on-ramp area in heterogeneous traffic flow using reinforcement learning
Open-circuit fault diagnosis in voltage source inverter for motor drive by using deep neural network
Bipolar augmentation: Lightweight artificial intelligence model training for anomaly detection under color cast scenarios
Improved failure mode and effect analysis with interval-valued intuitionistic fuzzy rough number theory
A neural network-assisted finite element analysis of cold flat rolling
F2Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis
CSCMOT: Multi-object tracking based on channel spatial cooperative attention mechanism
Parkinson's disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN-LSTM network
An edge-based optimization method for shape recognition using atomic potential function
Low-dimensional representation of monthly electricity demand profiles
Efficient real-time instance segmentation of garment for intelligent robot tie-dye based on you only look once version 11 network
A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage
Multisource aerodynamic data reconstruction method using an enhanced multifidelity neural network
Spatially-temporally online fault detection using timed multivariate statistical logic
Grinding mill optimisation using grind curves and continuum-armed bandits
An inventory model for deteriorating items with inflation induced variable demand under two level partial trade credit : A hybrid ABC-GA approach
Computer vision framework for crack detection of civil infrastructure - A review
Robust deep learning-based detection and classification system for chipless Arabic RFID letters
A novel method for surface defect inspection: Unsupervised continual learning for gradually varying domains
Development and performance evaluation of an improved complex valued radar pulse compressor
Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems
A double hierarchy hesitant fuzzy forecasting model considering the influence of investor emotion and the Co-movement of stock markets
Wavenet identification of dynamical systems by a modified PSO algorithm
Probabilistic mixture model driven interpretable modeling, clustering, and predicting for physical system data
Interactive search algorithm: A new hybrid metaheuristic optimization algorithm
Newman-Watts-Strogatz topology in deep echo state networks for speech emotion recognition
Real-time semantic segmentation network with an enhanced backbone based on Atrous spatial pyramid pooling module
Object detection in hospital facilities: A comprehensive dataset and performance evaluation
Hybrid expert ensembles for identifying unreliable data in citizen science
A continuous verification mechanism for ensuring client data forgetfulness in Federated Unlearning
Development of an optimization method for the GM(1, N) model
Automatic clinical image segmentation using pathological modeling, PCA and SVM
The RNVP-based process monitoring with transforming non-normal data to multivariate normal data
A deep learning framework for quality control process in the motor oil industry
A new deep sparse unfolding network with variational Bayesian enhancement for high-resolution localization of acoustic sources
A hybrid evolutionary algorithm for the stochastic human-robot collaborative disassembly line balancing problem considering carbon emission optimization
Multimodal salient object detection via adversarial learning with collaborative generator
Identifying comparative customer requirements from product online reviews for competitor analysis
A novel algorithm of extended neural networks for image recognition
A GRASP-based memetic algorithm with path relinking for the far from most string problem
Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition
Learning and generalization of task-parameterized skills through few human demonstrations
RepCrack: An efficient pavement crack segmentation method based on structural re-parameterization
Automated bridge surface crack detection and segmentation using computer vision-based deep learning model
A fuzzy rule-based meta-scheduler with evolutionary learning for grid computing
Decision support with ill-known criteria in the collaborative supply chain context
Optimization and classification of thermal transport on a convective surface with non-uniformly shaped ternary hybrid nanofluid flows
Exponential H ∞ filter design for uncertain Takagi-Sugeno fuzzy systems with time delay
Fish mass estimation based on monocular depth estimation and instance segmentation
Identification and selection of systems security engineering approach via bipolar fuzzy multi-criteria decision-making technique based on generalized power operators
Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation
Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process
Autonomic fault mitigation in embedded systems
Parse-matrix evolution for symbolic regression
Image- and health indicator-based transfer learning hybridization for battery RUL prediction
Ranking-oriented cross-modal hashing
Data-driven drift detection and diagnosis framework for predictive maintenance of heterogeneous production processes: Application to a multiple tapping process
Feature selection and feature learning in machine learning applications for gas turbines: A review
Adaptive neural network control using prescribed performance and event-triggered for path tracking control of autonomous vehicle
Diophantine spherical vague sets and their applications for micro-technology robots based on multiple-attribute decision-making
Dumodds: Dual modeling approach for drowsiness detection based on spatial and spatio-temporal features
Evaluation of a newly developed ploughshare: An ensemble deep learning approach for soil surface roughness classification with explainable artificial intelligence
IDD-Net: Industrial defect detection method based on Deep-Learning
A many-objective optimization approach for weight gain and animal welfare in rotational grazing of cattle
Estimation performance of the novel hybrid estimator based on machine learning and extended Kalman filter proposed for speed-sensorless direct torque control of brushless direct current motor
Locating the source of self-potential using few-shot learning
Optimization of markers in clothing industry
Robust multi-view subspace enhanced representation based on collaborative constraints and HSIC induction
An intuitionistic fuzzy-based model for performance evaluation of EcoPorts
A new blockmodeling based hierarchical clustering algorithm for web social networks
An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes
Enhancing data-driven three-way decision models for incomplete multiscale data: Integrating rough set theory with circular Pythagorean fuzzy rough information for advanced risk assessment
The problem of estimation and forecasting of obesity prevalence using sparsely collected data
Integrating granular computing and bioinformatics technology for typical process routes elicitation: A process knowledge acquisition approach
Multifunctional health status assessment based on decentralized federated temporal domain adaptation for rotating machinery
End-to-end burst signal demodulation via adaptive masked deep learning framework
Revisiting sensor-based intelligent fall risk assessment for older people: A systematic review
Machine learning for event selection in high energy physics
Bayesian estimation of unified generalized process capability index for logistic-exponential distribution under progressive type II censoring scheme
The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate
Granular ball-based fuzzy multineighborhood rough set for feature selection via label enhancement
Insulation aging condition assessment of transformer in the visual domain based on SE-CNN
Statistical-based local vector pattern features and shuffle deep neural network for lung cancer detection using computed Tomography image
Process planning of parameter intelligent adjustment for batch machining based on historical data segmented modeling
A lightweight segmentation model based on dilated multi-scale residual attention U-Net for brain tumor segmentation
Efficient mixed transformer for single image super-resolution
Real-world production scheduling for the food industry: An integrated approach
Improvement in Monte Carlo localization using information theory and statistical approaches
Applications of artificial intelligence in industry 4.0 and smart manufacturing
An imperialist competitive algorithm with feedback for energy-efficient flexible job shop scheduling with transportation and sequence-dependent setup times
Energy conservation based fuzzy tracking for unmanned aerial vehicle missions under a priori known wind information
Path planning via reinforcement learning with closed-loop motion control and field tests
A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle
Inertial load classification of low-cost electro-mechanical systems under dataset shift with fast end of line testing
Predicting global horizontal irradiance of north central region of India via machine learning regressor algorithms
Predicting the total suspended solids in wastewater: A data-mining approach
An evolutionary approach for worst-case tolerance design
Fuzzy fractional generalized Bagley-Torvik equation with fuzzy Caputo gH-differentiability
Interpretable multi-source data fusion through Latent Variable Gaussian Process
Joint pairwise graph embedded sparse deep belief network for fault diagnosis
Modified Kalman particle swarm optimization: Application for trim problem of very flexible aircraft
Feature-Enhanced Edge-INverse attention network for skin lesion segmentation
Portfolio optimization in the stock market under disruptions: Real case studies of COVID-19 pandemic and currency risk
Transformer-based end-to-end point restoration network for filtering temporarily-static objects from point cloud
Explainable reinforcement learning for powertrain control engineering
Conditional temporal GAN for intent-aware vessel trajectory prediction in the precautionary area
Block-matching algorithm based on differential evolution for motion estimation
Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition
Domain generalization for zero-calibration brain-computer interfaces with knowledge distillation-based phase invariant feature extraction
Applying case-based reasoning in social computing to transform colors into music
A hybrid solution to the multi-robot integrated exploration problem
An enhanced artificial bee colony algorithm with self-learning optimization mechanism for multi-objective path planning problem
Real-time embedded frame work for sEMG skeletal muscle force estimation and LQG control algorithms for smart upper extremity prostheses
Synthesis of multilevel knowledge graphs: Methods and technologies for dynamic networks
Linguistic interval-valued polytopic fuzzy set and cloud model based technique for order of preference by similarity to ideal solution
Fuzzy c-mean clustering-based decomposition with GA optimizer for FSM synthesis targeting to low power
CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries
Multi-level genetic algorithm for the resource-constrained re-entrant scheduling problem in the flow shop
TransCFD: A transformer-based decoder for flow field prediction
Towards lensless image deblurring with prior-embedded implicit neural representations in the low-data regime
Safe resource management of non-cooperative microgrids based on deep reinforcement learning
A Chebyshev polynomial approach to approximate solution of differential equations using differential evolution
Acquisition of representative objects and attribute reductions based on generalized decisions of dominance-based rough set approach
Real-time pavement temperature prediction through ensemble machine learning
Fluidized bed coating of metal substrates by using high performance thermoplastic powders: Statistical approach and neural network modelling
Multi-Agent Learning of Asset Maintenance Plans through Localised Subnetworks
A boosted degradation representation learning for blind image super-resolution
Learning characteristic parameters and dynamics of centrifugal pumps under multiphase flow using physics-informed neural networks
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach
Lyapunov-based continuous-time nonlinear control using deep neural network applied to underactuated systems
Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements
Underwater image enhancement using adaptive standardization and normalization networks
Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
A temporal graph-based contrastive approach for financial time series forecasting
Long-term scheduling strategy of hydro-wind-solar complementary system based on chaotic elite selection differential evolution algorithm with death penalty function
Bayesian-regularized cascaded neural networks for fractional asymmetric carbon-thermal nutrient-plankton dynamics under global warming and climatic perturbations
Fuzzy scheduling with swarm intelligence-based knowledge acquisition for grid computing
A hierarchical deep model integrating economic facts for stock movement prediction
A semantic robotic grasping framework based on multi-task learning in stacking scenes
A Stackelberg security Markov game based on partial information for strategic decision making against unexpected attacks
Semantic-aware transformer with feature integration for remote sensing change detection
From controlled dynamical systems to context-dependent grammars: A connectionist approach
Causal-ViT: Robust Vision Transformer by causal intervention
Uncertainty modelling in the selection of climate control system manufacturers for preconstruction of hydroelectric power plants
Optimizing h value for fuzzy linear regression with asymmetric triangular fuzzy coefficients
Adaptive differential evolution algorithm based on deeply-informed mutation strategy and restart mechanism
Online load frequency control in wind integrated power systems using modified Jaya optimization
A cellular automaton for the propagation of circular fronts and its applications
Analyzing critical barriers of smart energy city in Turkey based on two-dimensional uncertainty by hesitant z-fuzzy linguistic terms
A novel data-driven framework for driving range prognostics in electric vehicles
A hybrid algorithm for artificial neural network training
Binary Particle Swarm Optimization with an improved genetic algorithm to solve multi-document text summarization problem of Hindi documents
Enhanced information measures using q-Rung Orthopair Fuzzy Sets for improved criminal investigation techniques
Segmentation of medical images using an attention embedded lightweight network
A generic hybrid method combining rules and machine learning to automate domain independent ontology population
An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working condition of the aluminum reduction cell
Artificial intelligence in engineering risk analytics
Spatial-Temporal Attention-based Interaction-aware trajectory prediction for human-driven vehicles at freeway merging areas
Deep reinforcement learning-based dynamic integrated scheduling of automated guided vehicles and yard cranes for container terminal loading operations
Smooth fusion of multi-spectral images via total variation minimization for traffic scene semantic segmentation
Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques
Spatial and temporal consistency learning for monocular 6D pose estimation
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis
Dynamic correlation graph convolution network with embedded temporal correlation extraction for stock price forecasting
Characterising surface roughness of Ti-6Al-4V alloy machined using coated and uncoated carbide tools with variable nose radius by machine learning
Dynamic window sampling strategy for image captioning
A hybrid prediction model for marine wind speed considering internal temporal features recombination and external variables association
Hybrid semantic segmentation with broad context and attention encoded network for urban street scenario
Sensitivity analysis using Physics-informed neural networks
Multidimensional chaotic signals generation using deep learning and its application in image encryption
A machine learning-based inverse design method for frequency-selective surface microwave absorbers
Testing and performance analysis of an integrated electromagnetic and hydraulic retarder for heavy-duty vehicles
Intelligent fault detection in seismic data using U-shaped residual network-temporal-spatial attention mechanism with fourier forward-inverse transform constraints
Motion-Inspired Spatial-Temporal Transformer for accurate vessel trajectory prediction
Inference and analysis of a new evidential reasoning rule-based performance evaluation model
Benchmarking neural radiance fields for autonomous robots: An overview
Simulation of connected driving in hazardous weather conditions: General and extensible multiagent architecture and models
Application of the diagonal recurrent wavelet neural network to solar irradiation forecast assisted with fuzzy technique
Neural network-based micropositioning control of smart shape memory alloy actuators
Integration of neural networks in brain-computer interface applications: Research frontiers and trend analysis based on Python
Recommendation system of scientific articles from discharge summaries
Humans-in-the-loop: Gamifying activity label repair in process event logs
Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations
Bi-level location-routing problem with time windows for mixed-load recycling of heterogeneous batteries: A transformer-based improved deep reinforcement learning algorithm
Understanding the disparities in Mathematics performance: An interpretability-based examination
Feature-wise attention based boosting ensemble method for fraud detection
Machine learning and data augmentation methods for multispectral capacitance images of nanoparticles with nanoelectrodes array biosensors
PG-YOLO: An efficient detection algorithm for pomegranate before fruit thinning
Dynamic flexible scheduling with transportation constraints by multi-agent reinforcement learning
Intelligent replacement analysis using picture fuzzy sets: Defender-challenger comparison application
A multimodal deep fusion graph framework to detect social distancing violations and FCGs in pandemic surveillance
Using machine and deep learning models, on-chain data, and technical analysis for predicting bitcoin price direction and magnitude
Multi-agent system design and integration via agent development environment
Deep ensemble learning and error correction method for remaining useful life prediction of rolling bearings
Virtual Node Isolation Forest: One-class isolation-based method for novelty detection
Fast and intelligent measurement of the ventilation resistance coefficient for the whole mine based on sparse measurement points
Prediction and evaluation of key parameters in coalbed methane pre-extraction based on transformer and inversion model
Learning large-scale fuzzy cognitive maps under limited resources
The Barzilai-Borwein Method for distributed optimization over unbalanced directed networks
Deep learning methods for protein representation and function prediction: A comprehensive overview
Novel lossy compression method of noisy time series data with anomalies: Application to partial discharge monitoring in overhead power lines
Demultiplexing and Electron-Muon identification in different Micropattern Readout Planes with common U-Net approach
High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships
Reveling misleading information for defenders and attackers in repeated Stackelberg Security Games
Efficient repairs of infeasible job shop problems by evolutionary algorithms
Investigation of impact of aggregate shape on pervious concrete using machine learning classification methods
Towards quantum audio steganalysis using synergy of quantum fourier transform and quantum neural network
Bayesian dynamic modelling for probabilistic prediction of pavement condition
Efficient unmanned aerial vehicle detection algorithm based on cross-weighted pixel reconstruction and feature selection network
A novel multi-criteria decision making method to evaluate green innovation ecosystem resilience
BLEDNet: Bio-inspired lightweight neural network for edge detection