yusuke1997/dblp-id-title huggingface dataset:
Local stabilization of discrete-time TS descriptor systems
Confined attention mechanism enabled Recurrent Neural Network framework to improve traffic flow prediction
Motion planning of autonomous vehicles in a non-autonomous vehicle environment without speed lanes
Generalized regret based decision making
A cascaded border-aware network for visual tracking
Ranking teaching-learning-based optimization algorithm to estimate the parameters of solar models
An expert features enhanced temporal and contextual contrasting learning model for detecting wind turbine blade icing
Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series
Adaptive feature-level fusion of manifold and deep learning for robust multi-view face recognition
Optimization framework and clustering-based algorithm for energy-aware adaptive sensing
A robust deep learning model selection with data augmentation for automatic detection of tessellated fundus images and explainable artificial intelligence based interpretation
Towards detection of anomalous cosmic ray signals for observations acquired from Cosmic Ray Extremely Distributed Observatory mobile detectors
Predicting slope stability in high road embankments: A hybrid machine learning approach with finite element integration
Integrated lot-sizing and scheduling: Mitigation of uncertainty in demand and processing time by machine learning
Non-parametric semi-supervised chiller fault diagnosis via variational compressor under severe few labeled samples
Meta-learning with variational inference for few-shot faults diagnosis of automotive transmission under variable operating conditions
Oil Logging Reservoir Recognition Based on TCN and SA-BiLSTM Deep Learning Method
Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation
Decision support framework for healthcare waste disposal techniques assessment using an integrated picture fuzzy gained and lost dominance score-based approach
Novel fuzzy sliding controller for MRD suspensions subjected to uncertainty and disturbance
An optimized updating adaptive federated learning for pumping units collaborative diagnosis with label heterogeneity and communication redundancy
Detection of protein conformation defects from fluorescence microscopy images
An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems
A novel image encryption/decryption scheme based on chaotic neural networks
Evolution mechanism and influencing factors of multidimensional public opinion dissemination from the perspective of game theory
A hybrid time series and physics-informed machine learning framework to predict soil water content
A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization
An improved artificial bee colony algorithm with modified-neighborhood-based update operator and independent-inheriting-search strategy for global optimization
Improving the accuracy of prediction of PM 10 pollution by the wavelet transformation and an ensemble of neural predictors
Multi-occupant tracking with radar and wearable devices for enhanced accuracy in indoor environments
A novel deep learning framework based swin transformer for dermal cancer cell classification
Enhancing rotation you only look once version 8 for accurate detection of arbitrarily-oriented and multi-scale construction material in complex environment
Novel method for total organic carbon content prediction based on non-equigap multivariable grey model
Multiscale domain adaption models and their application in fault transfer diagnosis of planetary gearboxes
A Generalized Stochastic Petri Net model of route learning for emergency egress situations
FIA 5 : A customized Fuzzy Interval Algebra for modeling spatial relevancy in urban context-aware systems
Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds
Polar coordinate system to solve an uncertain linguistic Z-number and its application in multicriteria group decision-making
CrowdDCNN: Deep convolution neural network for real-time crowd counting on IoT edge
Adaptive metagraph neural network assisted by metagraph search for financial fraud detection
A general framework for interactive semantic segmentation refinement of point clouds
Mobile-YOLO: An accurate and efficient three-stage cascaded network for online fiberglass fabric defect detection
Cross-domain generalization in non-stationary data-based Human Activity Recognition
Modelling and optimization of fluid dispensing for electronic packaging using neural fuzzy networks and genetic algorithms
A novel fuzzy facial expression recognition system based on facial feature extraction from color face images
Few-shot classification via efficient meta-learning with hybrid optimization
Early classification of industrial alarm floods using a hybrid neural network and optimal time-encoded histograms
Distributional prediction of short-term traffic using neural networks
Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points
Toward complete coverage planning using deep reinforcement learning by trapezoid-based transformable robot
Deep learning-driven multi-objective dynamic switch migration in software defined networking (SDN)/network function virtualization (NFV)-based 5G networks
Interpretable policies for reinforcement learning by empirical fuzzy sets
An active semi-supervised transfer learning method for robot pose error prediction and compensation
A reinforcement learning-based routing for delay tolerant networks
A generalized TODIM-ELECTRE II based integrated decision-making framework for technology selection of energy conservation and emission reduction with unknown weight information
Hierarchical multi-agent control of traffic lights based on collective learning
A hybrid optimization algorithm to identify unknown parameters of photovoltaic models under varying operating conditions
Using semantic data integration to create reliable rule-based systems with uncertainty
Digital watermarking with improved SMS applied for QR code
An adaptive class prototype generation framework for partial label learning
Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning
GVNS for a real-world Rich Vehicle Routing Problem with Time Windows
A survey on applications of the harmony search algorithm
Modelling dialogues in agent societies
Mathematical models of CBSC over wireless channels and their analysis by using the LeNN-WOA-NM algorithm
Expectation-oriented modeling
A lightweight privacy-preserving scheme using pixel block mixing for facial image classification in deep learning
A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent analysis
Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks
Generating embedding spaces for re-identifying pallets from their chipwood patterns
A novel self-learning fuzzy predictive control method for the cement mill: Simulation and experimental validation
An ACO algorithm to design UMTS access network using divided and conquer technique
Real-time propeller fault detection for multirotor drones based on vibration data analysis
Estimating soil thermal properties from sequences of land surface temperature using hybrid Genetic Algorithm-Finite Difference method
Polar Edge Distance Loss in Edge-aware Plug-and-play Scheme for Semantic Segmentation
An improved Monte Carlo method based on Gaussian growth to calculate the workspace of robots
Logistics box recognition in robotic industrial de-palletising procedure with systematic RGB-D image processing supported by multiple deep learning methods
CycMixer: A simplified and rapidly converging object detection network of query based on cycle mixing
Pointer type instrument reading method based on key point detection
The effect of genetic algorithm learning with a classifier system in limit order markets
New improved DEMATEL method based on both subjective experience and objective data
Sparse q-Laplace kernel online prediction for indoor localization in the Internet of Things
An opposition-based algorithm for function optimization
Towards dense people detection with deep learning and depth images
Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling
Adaptive stable backstepping controller based on support vector regression for nonlinear systems
Camouflaged Object Detection with boundary localization in complex backgrounds
Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process
An improved smoking behavior detection algorithm via incorporating an interference information filtering network
VasLine: Realize online detection and augmented NIR using deep learning
Advising reinforcement learning toward scaling agents in continuous control environments with sparse rewards
Hybrid multi-attention transformer for robust video object detection
Neural networks in closed-loop systems: Verification using interval arithmetic and formal prover
Enhanced neural-network-based iterative learning control considering iterative uncertainties for piezoelectric actuated micro-positioning platform
Set based particle swarm optimization for the feature selection problem
Hand movement recognition based on biosignal analysis
Multimodal sentiment analysis based on multiple attention
ShapG: New feature importance method based on the Shapley value
A deep ensemble learning model for Chinese spelling check
Parallel learning-based security robust tracking control for nonlinear systems with uncertainties: An event-triggered design
Deep-learning-based short-term electricity load forecasting: A real case application
Micro Gas Turbine fault detection and isolation with a combination of Artificial Neural Network and off-design performance analysis
Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement
An active learning adaptive Bayesian quadrature -based multimodal reliability analysis method
Post-earthquake debris waste management with interpretive-structural-modeling and decision-making-trial, and evaluation-laboratory under neutrosophic fuzzy sets
Thermal Fall 66: A robust dataset for thermal imaging-based fall detection and eldercare
Evaluating reinforcement learning-based neural controllers for quadcopter navigation in windy conditions
Few-shot person re-identification based on Feature Set Augmentation and Metric Fusion
A harmony search variant and a useful constraint handling method for the dynamic economic emission dispatch problems considering transmission loss
A dynamic capsule network-based physical alert monitoring system for elderly people with disabilities
Speech and speaker recognition using raw waveform modeling for adult and children's speech: A comprehensive review
Upsampling graph convolutional neural networks enhanced multimodal multi-objective evolutionary algorithm
Towards autonomic computing systems
A powerful Lichtenberg Optimization Algorithm: A damage identification case study
Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream
One-dimensional convolutional neural network model driven intelligent operation phases identification of hydraulic press using energy data
A fuzzy-based approach for strategic choices in electric energy supply. The case of a Swiss power provider on the eve of electricity market opening
Analyzing imbalanced online consumer review data in product design using geometric semantic genetic programming
A study on attention-based fine-grained image recognition: Towards musical instrument performing hand shape assessment
MATC-Net: Learning compact sequence representation for hierarchical loop closure detection
Artificial neural networks for finger vein recognition: A survey
A novel bi-stream network for image dehazing
Meta-fourier neural operators for multi-task modeling of film cooling in gas turbine endwalls
Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification
A novel grey multivariate model for forecasting landslide displacement
Algorithmically-consistent deep learning frameworks for structural topology optimization
CGINet: Cross-modality grade interaction network for RGB-T crowd counting
Genotype-phenotype heuristic approaches for a cutting stock problem with circular patterns
Testing HMAS-based applications: An ASPECS-based approach
A deep learning approach for image time series forecasting: Study case, United States drought monitor
Interpretation and modeling of emotions in the management of autonomous robots using a control paradigm based on a scheduling variable
Neural Network-Based Metamodel of synthetic seismograms: Application for uncertainty quantification
Multi-pose human head detection and tracking boosted by efficient human head validation using ellipse detection
A novel Q-learning-based FKG-Pairs approach for extreme cases in decision making
Ubiquitous smartphone based localization with door crossing detection
Damage assessment in composite plates using fractional wavelet transform of modal shapes with optimized selection of spatial wavelets
Real-time pricing strategy considering carbon emissions and time coupling in smart grid: A binary integer bilevel optimization model with decision-making
A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design
Real-time visual detection and tracking system for traffic monitoring
Comparison of immunity-based schemes for aircraft failure detection and identification
Detecting selective forwarding attacks on cloud
Adding debugging support to the Prometheus methodology
A lightweight network for weak texture surface defect detection
Octonion continuous orthogonal moments and their applications in color stereoscopic image reconstruction and zero-watermarking
Evolutionary computing applied to customer relationship management: A survey
Visual Attention and ODE-inspired Fusion Network for image dehazing
Self-supervised learning of monocular depth estimators in autonomous vehicles with federated learning
FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences
Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation
A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system
Continuous-discrete extended Kalman filtering based on the neural ordinary differential equations method
A framework for on-line trend extraction and fault diagnosis
Stabilization conditions of fuzzy systems under persistent perturbations and their application in nonlinear systems
Implementation of hybrid ANN-PSO algorithm on FPGA for harmonic estimation
Anti-damage ability of biological plausible spiking neural network with synaptic time delay based on speech recognition under random attack
A hybrid decision making aided framework for multi-criteria decision making with R-numbers and preference models
Design of a unified physics-informed neural network using interior point algorithm to study the bioconvection nanofluid flow via stretching surface
An optimized grey transition Verhulst method
A keyword-driven approach for generating OWL DL conformance test data
Federated Reinforcement Learning for smart and privacy-preserving energy management of residential microgrids clusters
Evolving model identification for process monitoring and prediction of non-linear systems
Uncertainties in conditional probability tables of discrete Bayesian Belief Networks: A comprehensive review
A collaborative agreement for berth allocation under excessive demand
Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning
Study on the detection of pulverized coal and silica impurities in air pipeline based on improved U-Net
Improving the accuracy of hand sign recognition by chaotic swarm algorithm-based feature selection applied to fused surface electromyography and force myography signals
Multimodal transformer for early alarm prediction
Series alternating current arc fault detection method based on relative position matrix and deep convolutional neural network
A multispectral feature framework for predicting soybean high temperature resistance grades based on masked autoencoding and supervised contrastive learning with dual-branch pretraining
Predicting the cyclic behavior and strength-weakening effect of saturated clays using artificial neural network
Task-adaptive unbiased regularization meta-learning for few-shot cross-domain fault diagnosis
Prediction error-based clustering approach for multiple-model learning using statistical testing
An integrated deep learning approach for assessing the visual qualities of built environments utilizing street view images
An online semantic mapping system for extending and enhancing visual SLAM
Multi-view longitudinal CNN for multiple sclerosis lesion segmentation
A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination
Adaptation to non-native speech using evolutionary-based discriminative linear transforms
An online continual object detector on VHR remote sensing images with class imbalance
Method to decide a multi-fault rush repair robust strategy in power distribution networks
Dynamic balanced teacher: A semi-supervised object detection algorithm for train faults
An ensemble based lightweight deep learning model for the prediction of cardiovascular diseases from electrocardiogram images
A forty years scientometric investigation of artificial intelligence for fluid-flow and heat-transfer (AIFH) during 1982 and 2022
Attention-integrated one-stage detector with weighted feature fusion for small object detection in aerial images
Adaptive neural network model based predictive control for air-fuel ratio of SI engines
Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions
An adaptive integrated learning-based virtual sensing framework for temperature prediction in aircraft brake monitoring engineering
Unsupervised cluster discovery using statistics in scale space
Computer vision in warehouse management automation: A survey on implemented methods with prototyping hardware
Cuckoo search algorithm based design of interval Type-2 Fuzzy PID Controller for Furuta pendulum system
Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function
Tracking interval control for urban rail trains based on safe reinforcement learning
Agent-based modeling and simulation of a smart grid: A case study of communication effects on frequency control
Particle swarm-based optimal partitioning algorithm for combinational CMOS circuits
Adaptive finite state machine based visual autonomous navigation system
A neuro-inspired approach for Continual Multi-Label Learning with evolving spiking networks
An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction
A multi-modal unsupervised fault detection system based on power signals and thermal imaging via deep AutoEncoder neural network
A vector-based end-effector tracking and obstacle avoidance control for wheeled mobile manipulators under multi-joint position and velocity constraints
Combined weightless neural network FPGA architecture for deforestation surveillance and visual navigation of UAVs
Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles
Mathematical model and cooperative co-evolutionary algorithm for energy-aware hybrid assembly job shop scheduling with limited automated guided vehicles
Multimodal stock market emotion recognition model trained with a large language model
Online training of concept detectors for image retrieval using streaming clickthrough data
Image retrieval based on micro-level spatial structure features and content analysis using Full Range Gaussian Markov Random Field model
Disentangling response sequences with causal invariance for knowledge tracing
Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data
Adaptive fuzzy color segmentation with neural network for road detections
A stochastic multi-criteria acceptability analysis-based group consensus model considering overlapping decision-makers
A novel local extrema based gravitational search algorithm and its application in face recognition using one training image per class
FDTNet: Enhancing frequency-aware representation for prohibited object detection from X-ray images via dual-stream transformers
Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach
Fuzzy regression for perceptual image quality assessment
Estimating cement compressive strength using three-dimensional microstructure images and deep belief network
An effective skeleton-based approach for multilingual sign language recognition
Stochastic optimal well control in subsurface reservoirs using reinforcement learning
A velocity adaptive steering control strategy of autonomous vehicle based on double deep Q-learning network with varied agents
Enhancing data stream predictions with reliability estimators and explanation
Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries
A fuzzy TOPSIS and Rough Set based approach for mechanism analysis of product infant failure
Characteristics detection of surface agglomerated abrasive on electroplated diamond wire: A measurement method based on semantic segmentation
A personalized human-machine cooperative approach with transformer-based recognition for longitudinal and lateral control of intelligent vehicles
A novel retrieval strategy for case-based reasoning based on attitudinal Choquet integral
Associating gesture expressivity with affective representations
Process optimization for textile industry-based wastewater treatment via ultrasonic-assisted electrochemical processing
A multi-perspective perception decomposition and fusion framework for mine image enhancement
Reinforcement learning for traffic signal control: Incorporating a virtual mesoscopic model for depicting oversaturated traffic conditions
Performance evaluation of information fusion systems based on belief entropy
Domain knowledge-guided Bayesian evolutionary trees for estimating the compression modulus of soils containing missing values
Filter modeling using gravitational search algorithm
Cubic linguistic T-spherical fuzzy aggregation operator-based multi-attribute group decision-making model and its application to food waste treatment technique selection
Developing guidelines for functionally-grounded evaluation of explainable artificial intelligence using tabular data
Multisource traffic incident reporting and evidence management in Internet of Vehicles using machine learning and blockchain
Upper limb musculoskeletal model as path generator for control a virtual orthosis: A dynamic neural network approach
Optimization strategy for batch-stochastic configuration network models and their application in component content prediction
Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion
A high-precision and efficient method for coal-rock characteristic identification utilizing coal wall temperature field
Teaching a humanoid robot to walk faster through Safe Reinforcement Learning
A novel multimodal deep learning framework for predicting residual strength of corroded rectangular hollow-section columns
About the relationship between ROC curves and Cohen's kappa
A new interval type-2 fuzzy logic system under dynamic environment: Application to financial investment
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis