yusuke1997/dblp-id-title huggingface dataset:
Subjective measurement of cosmetic defects using a Computational Intelligence approach
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities
A cross-space collaborative differential evolution with knowledge transfer and dual-offspring expansion for high-dimensional expensive problems
A smart computational framework for predicting mechanical and sustainability indicators and optimizing mix proportions of recycled rubber aggregate concrete
Cov-Fed: Federated learning-based framework for COVID-19 diagnosis using chest X-ray scans
Rule-based space characterization for rumour detection in health
A multi-agent-based approach for personnel scheduling in assembly centers
Semi-supervised fault diagnosis of wheelset bearings in high-speed trains using autocorrelation and improved flow Gaussian mixture model
Graph neural networks-based dynamic water quality state estimation in water distribution networks
Description of a teleconferencing floor control protocol and its implementation
Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality
The distributed multilevel ant-stigmergy algorithm used at the electric-motor design
Target signature network for small object tracking
MOSFLA-MRPP: Multi-Objective Shuffled Frog-Leaping Algorithm applied to Mobile Robot Path Planning
Causally explainable artificial intelligence on deep learning model for energy demand prediction
Multiscale constitutive modeling of anisotropic plasticity: Coupling the visco-plastic self-consistent model with the recurrent neural network and its implementation in finite element analysis
Risk management in maintenance processes: A spherical fuzzy-based failure mode and effect analysis approach in the glass processing industry
Prediction of the load-moment interaction curve for rectangular concrete-filled steel tube columns using composite multi-fidelity neural network
GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices
Leveraging saving-based algorithms by master-slave genetic algorithms
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Multi-objective teaching-learning evolutionary algorithm for enhancing sensor network coverage and lifetime
Image thresholding based on Pareto multiobjective optimization
An improved method for upscaling 2D images using adaptive edge sharpening and an optimized directional anisotropic diffusion filter
Abnormal sitting posture recognition based on multi-scale spatiotemporal features of skeleton graph
Beans quality inspection using correlation-based granulometry
Fault detection in catalytic cracking converter by means of probability density approximation
Dynamic composition of holonic processes to satisfy timing constraints with minimal costs
Derivation and characteristic investigation of a two-input, two-output interval type-2 fuzzy controller using product and operations
Machine learning-based prediction of swirl combustor operation from flame imaging
Generative adversarial networks enable outlier detection and property monitoring for additive manufacturing of complex structures
A Transformer-based self-supervised learning model for fault diagnosis of air-conditioning systems with limited labeled data
Joint depth-segmentation learning with segment priors for non-contact seedling height and stem thickness estimation
An intelligent intrusion detection and performance reliability evaluation mechanism in mobile ad-hoc networks
Dual-path information enhanced pyramid Unet for COVID-19 lung infection segmentation
Health state evaluation and analysis of equipment considering multi-scale data fusion
Application of multi-criteria decision-making method based on improved grade Z-number in site selection of new energy vehicles charging stations
A global information-guided denoising diffusion probabilistic model for fault diagnosis with imbalanced data
PyRCN: A toolbox for exploration and application of Reservoir Computing Networks
Spatio-temporal fusion with motion masks for the moving small target detection from remote-sensing videos
Concurrent Markov decision processes for robot team learning
An artificial neural network model for prediction of wall temperature in vertical tube under subcritical and supercritical flow
Iterated two-phase local search for the colored traveling salesmen problem
Balancing efficiency and accuracy: Extreme gradient boosting and neural networks for near real-time brain deformation prediction in sports collisions
Cattle weight estimation model through readily photos
Approximate solving of nonlinear ordinary differential equations using least square weight function and metaheuristic algorithms
IPNet: Polarization-based Camouflaged Object Detection via dual-flow network
A cumulative absolute velocity prediction method based on surrounding strong motion records and deep learning
A novel clustering-ensemble learning model for day-ahead photovoltaic power forecasting
Regularized twin minimax probability machine for pattern classification and regression
Consensus reaching model for counter-intuitive in D-S evidence theory and application under 2-tuple linguistic representation
GraphRec-based Korean expert recommendation using author contribution index and the paper abstracts in marine
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
Toward efficient and lightweight sea-land segmentation for remote sensing images
Resolution of nonlinear interval problems using symbolic interval arithmetic
Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images
Predicting real-time coagulant dosage in water treatment by artificial neural networks and adaptive network-based fuzzy inference system
Exploiting global and instance-level perceived feature relationship matrices for 3D face reconstruction and dense alignment
Transformer-based auto-encoder with combined multi-head-attention for industrial soft-sensor modeling
Adaptive convolutional network pruning through pixel-level cross-correlation and channel independence for enhanced model compression
Designing of an intelligent self-adaptive model for supply chain ordering management system
A learning-based model predictive control scheme and its application in biped locomotion
Weakly supervised semantic segmentation by knowledge graph inference
An integrated optimization approach and multi-criteria decision analysis for supporting the waste-management system of the City of Beijing, China
Adversarial domain adaptation using contrastive learning
Multi-resolution sequence and structure feature extraction for binding site prediction
A novel deep learning model for defect detection in photovoltaic panels using visible light imaging
Visual Domain Adaptation through Locality Information
Visual analysis of socio-cognitive crowd behaviors for surveillance: A survey and categorization of trends and methods
Hyperspectral image classification using a new deep learning model based on pseudo-3D block and depth separable 2D-3D convolution
Sample less meta-learning fault diagnosis based on ordered time-frequency features
Vibration-induced deformation prediction and multi-staged parameter optimization of coarse-grained soils: Trade-off between energy and time
Automatic generation of explanations: AGE
Extracting the trajectory of writing brush in Chinese character calligraphy
A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting the key monitoring parameters of gas turbine
Underwater acoustic target recognition based on sub-band concatenated Mel spectrogram and multidomain attention mechanism
Multi-objective optimization and inverse design of complementary field-effect transistor using combined approach of machine learning and non-dominated sorting genetic algorithms for next-generation semiconductor devices
Model for residential house element and material selection by neutrosophic MULTIMOORA method
A novel brain-inspired approach based on spiking neural network for cooperative control and protection of multiple trains
A note on "A new fuzzy regression model based on absolute deviation"
An agent-based approach to solve dynamic meeting scheduling problems with preferences
Wafer map defect recognition based on deep transfer learning-based densely connected convolutional network and deep forest
Harnessing fuzzy logic for building structural health during large diameter tunnelling in urban area
A preliminary step toward intelligent forming of fabric composites: Artificial intelligence-based fiber distortions monitoring
Parallel-wise global and local attention vision transformer-based generative adversarial network using fourier transform loss for generating fake iris image
Cross-modal Prompt-Driven Network for low-resource vision-to-language generation
Prognosticate pulmonary pathosis for COVID negative and post-acute COVID patients using chest computed tomography images
An accurate automated speaker counting architecture based on James Webb Pattern
Printer source identification of quick response codes using residual attention network and smartphones
Beyond trial-and-error: Predicting user abandonment after a moderation intervention
A variegated GWO algorithm implementation in emerging power systems optimization problems
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions
VIKOR method for Pythagorean hesitant fuzzy multi-attribute decision-making based on regret theory
Theory and application of neural networks for 1/n rate convolutional decoders
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction
A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection
High order α-planes integration: A new approach to computational cost reduction of General Type-2 Fuzzy Systems
Constitutive model characterization and discovery using physics-informed deep learning
Multi-level feature decomposition and fusion model for video-based multimodal emotion recognition
Enhancing pine wilt disease detection with synthetic data and external attention-based transformers
Just-in-time software defect location for mobile applications based on pre-trained programming encoder model and hierarchical attention network
Feasible distributed CSP models for scheduling problems
Recent advancements in deep learning based lung cancer detection: A systematic review
An EA-based pruning on improved YOLOv3 for rapid copper elbow surface defect detection
Neural network fuzzy sliding mode control of pneumatic muscle actuators
Predicting the hydraulic response of critical transport infrastructures during extreme flood events
Dependence maximization based label space dimension reduction for multi-label classification
Heterogeneous-Effect Causal Graph Diffusion Network for sustainable regional economic upgrading
A novel data generation scheme for surrogate modelling with deep operator networks
Investigation on intelligent surface roughness prediction considering chatter effects based on fine-grained feature extraction and fusion
Automated generation of feedforward control using feedback linearization of local model networks
A surrogate-assisted Jaya algorithm based on optimal directional guidance and historical learning mechanism
Quadruplex-depth based multi-view stereo network with wave-shaped depth cells and Epipolar Transformer
Neural modeling helps the BOS process to achieve aimed end-point conditions in liquid steel
Corrigendum to "Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions" [Eng. Appl. Artif. Intell. 138 (2024) 109323]
Machine Learning based algorithms for modeling natural convection fluid flow and heat and mass transfer in rectangular cavities filled with non-Newtonian fluids
An ensemble-based transfer testing method for Large Language Models
Constructing two-stream input matrices in a convolutional neural network for photovoltaic power prediction
A conceptual model for the implementation of an Inter-Knowledge Objects Exchange System (IKOES) in automotive industry
Optimizing mean conditional value-at-risk portfolios through deep neural network stock prediction
Continual learning for neural regression networks to cope with concept drift in industrial processes using convex optimisation
Guided relevance attention mapping: Explainable artificial intelligence reimagined
Predictions of bridge scour: Application of a feed-forward neural network with an adaptive activation function
On case-based control of dynamic industrial processes with the use of fuzzy representation
Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm
Type-2 fuzzy sliding mode control without reaching phase for nonlinear system
Feature based analysis of thermal images for emotion recognition
A revision of recent approaches for two-dimensional strip-packing problems
Multi-view hypergraph neural networks for student academic performance prediction
FEAN: A Fragments Embedding and Aligning Network for image-text matching
A robot calligraphy system: From simple to complex writing by human gestures
Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing
Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China
Terrain information-involved power allocation optimization for fuel cell/battery/ultracapacitor hybrid electric vehicles via an improved deep reinforcement learning
An iterative precision vector to optimise the CBR adaptation of EquiVox
Effective algorithms to mine skyline frequent-utility itemsets
Wind turbine blade defect detection with a semi-supervised deep learning framework
Robust asynchronous fuzzy predictive fault-tolerant tracking control for nonlinear multi-phase batch processes with time-varying reference trajectories
Fault diagnosis of high-voltage three-phase asynchronous motors using residual neural networks and bidirectional gated recurrent units
A two-level game theoretic approach for task offloading in mobile edge computing
An efficient fire and smoke detection algorithm based on an end-to-end structured network
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis
Topology-joint Curvilinear Segmentation Network using Confidence-based Bezier Topological Representation
A novel method for cage whirl motion capture of high-precision bearing inspired by U-Net
A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets
Sentiment analysis on stock social media for stock price movement prediction
Microfluidic droplet detection using synthetic data generated by a Generative Adversarial Network
Hybrid deep-learning prediction model based on kernel multi-granularity fuzzy rough sets and its application in the diagnosis and treatment of chronic kidney disease
Image colour application rules of Shanghai style Chinese paintings based on machine learning algorithm
Deep learning generalized hybrid models for multi-species crop disease classification with explainable insights
Multi-class Agent Trajectory Prediction with Selective State Spaces for autonomous driving
Efficient thermal infrared tracking with cross-modal compress distillation
An optimized discrete neural network in embedded systems for road recognition
Curriculum learning-based missile guidance law for intercepting maneuvering targets with high-speed
Multiple-negative survey method for enhancing the accuracy of negative survey-based cloud data privacy: Applications and extensions
Recommender systems for sensor-based ambient control in academic facilities
Review on the COVID-19 pandemic prevention and control system based on AI
Metal oxide semiconductor based electronic nose data pre-processing, review
Total least squares in fuzzy system identification: An application to an industrial engine
Global e-Commerce (GeC) theory by intuitionistic fuzzy Γ-submodule
TANet: Text region attention learning for vehicle re-identification
A multi-objective optimization based solution for the combined economic-environmental power dispatch problem
Discrete differential evolution algorithm for distributed blocking flowshop scheduling with makespan criterion
Single-channel selection for epileptic seizure identification through a custom machine learning model
A novel method for real driving emission prediction utilizing an artificial neural network
Monitoring of simultaneous saccharification and fermentation of ethanol by multi-source data deep fusion strategy based on near-infrared spectra and electronic nose signals
Expanding the defect image dataset of composite material coating with enhanced image-to-image translation
Diffusion-aware graph refinement for graph-level classification and property detection
Digital-analog driven multi-scale transfer for smart bearing fault diagnosis
Multi-objective optimal reactive power dispatch considering voltage stability in power systems using HFMOEA
Automatic and accurate characterization of rock fractures based on Deep Learning
Adaptive weighted multiscale retinex for underwater image enhancement
An efficient framework for malicious network traffic detection using optimized deep learning techniques
An innovative prediction algorithm based on grey modeling theory and the marine predators algorithm for short-term carbon dioxide emissions in China
Synchronous detection of strawberry fruit and stem in natural scene using scale edge fusion network and semi-supervised learning
A SNOMED supported ontological vector model for subclinical disorder detection using EHR similarity
Keyword-enhanced recommender system based on inductive graph matrix completion
A forest-based algorithm for selecting informative variables using Variable Depth Distribution
An advanced multi-source data fusion method utilizing deep learning techniques for fire detection
Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions
Integrating prompt techniques and multi-similarity matching for named entity recognition in low-resource settings
A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array
NetGAP: A graph grammar approach for concept design of networked platforms with extra-functional requirements
A complex plausibility belief Jensen-Shannon divergence with its application in multi-source information fusion
Artificial Intelligence in Healthcare: Review, Ethics, Trust Challenges & Future Research Directions
Heart rate extraction from photoplethysmogram on fuzzy logic discriminator
Training-free multi-scale neural architecture search for high-incidence cancer prediction
Online Continual Learning via the Meta-learning update with Multi-scale Knowledge Distillation and Data Augmentation
Reutilization of diagnostic cases by adaptation of knowledge models
Experimental evaluation, modeling and sensitivity analysis of temperature and cutting force in bone micro-milling using support vector regression and EFAST methods
Optimal design of plant lighting system by genetic algorithms
Functional gradient approach to probabilistic minimax active learning
A thermodynamics-informed deep learning approach for lightweight modeling of gas turbine performance
Using the numerical simulation and artificial neural network (ANN) to evaluate temperature distribution in pulsed laser welding of different alloys
Parallel quantized dual-level fully connected classifier for bearing fault diagnosis
TATrack: Target-aware transformer for object tracking
Robot welding trajectory planning for branch-pipes "clustered" intersecting structure based on metaheuristic algorithms
Feature selections based on three improved condition entropies and one new similarity degree in interval-valued decision systems
A novel Gait-Appearance-based Multi-Scale Video Covariance Approach for pedestrian (re)-identification
Enhancing entity and relation extraction with dynamic hard negative augmentation framework
Artificial neural network-based DTC of an induction machine with experimental implementation on FPGA
A combination of user-guide scheme and kernel descriptor on RGB-D data for robust and realtime hand posture recognition
A large-scale group decision making model with a clustering algorithm based on a locality sensitive hash function
Data-driven approach augmented in simulation for robust fault prognosis
Utilizing modularity to construct a trading strategies network for enhancing the diversification of group trading strategy portfolio by grouping genetic algorithm
A comprehensive review on computer vision analysis of aerial data
Deep transfer learning-based damage detection of composite structures by fusing monitoring data with physical mechanism
Graph attention neural network for advancing medical imaging by enhancing segmentation and classification
Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition
An integrated neutrosophic Schweizer-Sklar-based model for evaluating economic activities in organized industrial zones
Deep neural network model with Bayesian hyperparameter optimization for prediction of NOx at transient conditions in a diesel engine
Using a genetic algorithm to register an uncalibrated image pair to a 3D surface model
Picture fuzzy set and quality function deployment approach based novel framework for multi-criteria group decision making method
Binaural lateral localization of multiple sources in real environments using a kurtosis-driven split-EM algorithm
Uncertainty-guided Bayesian active learning for cost-effective fault diagnosis with minimal labeled data
Continual Learning for Behavior-based Driver Identification
CNC internal data based incremental cost-sensitive support vector machine method for tool breakage monitoring in end milling
Crime scene classification from skeletal trajectory analysis in surveillance settings
A flexible deep learning-aware framework for travel time prediction considering traffic event
A deep learning-based approach for assessment of bridge condition through fusion of multi-type inspection data
Interpretable knowledge-guided framework for modeling minimum miscible pressure of CO 2 -oil system in CO 2 -EOR projects
GhostPointNet: A deep learning-based method for ghost point noise detection in four-dimensional (4D) millimeter-wave radar point clouds of underground mine
Empirical evaluation of feature subset selection based on a real-world data set
A hybrid harmony search algorithm with efficient job sequence scheme and variable neighborhood search for the permutation flow shop scheduling problems
Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms
Solving terminal assignment problems with groups encoding: The wedding banquet problem
Convex granules and convex covering rough sets
A self-adaptive approach to service deployment under mobile edge computing for autonomous driving
Workflow difference detection based on basis paths
Modeling semantic compositionality of relational patterns
A Document Image Retrieval System
Fuzzy linear regression models for QFD using optimized h values
Identification of maintenance significant items for machine tools by integrating DEMATEL and MABAC with spherical fuzzy sets
Forecasting of the daily meteorological pollution using wavelets and support vector machine
A secure and accurate localization algorithm for mobile nodes in underwater acoustic network
Discriminative feature learning based on multi-view attention network with diffusion joint loss for speech emotion recognition
Background image-assisted divide-and-conquer reconstruction method for ECT
Adaptive forecasting of irregular demand processes