yusuke1997/dblp-id-title huggingface dataset:
Parametric study on global estimation models for compressive strength adopting various machine learning algorithms in concrete
A decision-making method based on optimal evaluation index function and aggregation direction under unknown weights
Corrigendum to "Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization" [Eng. Appl. Artif. Intell. 124 (2023) 106643]
Arrangement optimization of a novel three dimensional multiphase flow imaging device employing modified harmony search algorithm
Few-shot tire tracks recognition based on metric learning
Quantized-communication-based neural network control for formation tracking of networked multiple unmanned surface vehicles without velocity information
Intelligent adaptive lighting algorithm: Integrating reinforcement learning and fuzzy logic for personalized interior lighting
An integrated hesitant 2-tuple linguistic Pythagorean fuzzy decision-making method for single-pilot operations mechanism evaluation
Hesitant distance set on hesitant fuzzy sets and its application in urban road traffic state identification
SOF-RRT*: An improved path planning algorithm using spatial offset sampling
Fovea intensity comparison code for person identification and verification
Application of multi-objective particle swarm optimization based on short-term memory and K-means clustering in multi-modal multi-objective optimization
Physics-Informed Neural Networks for Control of single-phase flow systems governed by partial differential equations
Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography
A comparative analysis of Machine Learning Techniques for short-term grid power forecasting and uncertainty analysis of Wave Energy Converters
Cost effective localization in distributed sensory networks
TemporalHAN: Hierarchical attention-based heterogeneous temporal network embedding
Fuzzy C-Means clustering based selective edge enhancement scheme for improved road crack detection
Fault-tolerant control for second-order nonlinear systems with actuator faults via zero-sum differential game
Complex probabilistic fuzzy set and their aggregation operators in group decision making extended to TOPSIS
Enhancing pose estimation for mobile robots: A comparative analysis of deep reinforcement learning algorithms for adaptive Extended Kalman Filter-based estimation
Online prediction of time series with assumed behavior
A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm
Redesign of the supply of mobile mechanics based on a novel genetic optimization algorithm using Google Maps API
Solving nonlinear optimal control problems using a hybrid IPSO-SQP algorithm
Neural control of an induction motor with regenerative braking as electric vehicle architecture
A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method
Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value
Semi-supervised generative adversarial network for plant leaf disease detection
Adaboosting graph attention recurrent network: A deep learning framework for traffic speed forecasting in dynamic transportation networks with spatial-temporal dependencies
Attention dynamic graph convolutional network for traffic flow prediction
An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles
A complete artificial intelligence pipeline for radio frequency energy prediction in cellular bands for energy harvesting systems
Knowledge enhanced multi-task learning for simultaneous optimization of human parsing and pose estimation
Intelligent fault diagnosis of rotating machinery under varying working conditions with global-local neighborhood and sparse graphs embedding deep regularized autoencoder
Multi-actor activity detection by modeling object relationships in extended videos based on deep learning
Constrained non-negative sparse coding using learnt instrument templates for realtime music transcription
Using particle swam optimization for QoS in ad-hoc multicast
Integrating explainable artificial intelligence in machine learning models to enhance the interpretation of elastic behaviors in three-dimensional-printed triangular lattice plates
Long range multi-step water quality forecasting using iterative ensembling
Biofouling detection and classification in Tidal Stream Turbines through soft voting ensemble transfer learning of video images
Geotechnical risk modeling using an explainable transfer learning model incorporating physical guidance
Mediating between filter and wrapper via probabilistic models, A hybrid feature selection framework for multi-label data
Quantum-enhanced deep lightweight object detection model for power tower base occlusion detection
Structural health monitoring of a footbridge using Echo State Networks and NARMAX
A unified multi-criteria equity metric for data-driven decision-making: Application to tract-level electric vehicle charging station planning
Identifying user habits through data mining on call data records
Adaptive network-based fuzzy inference system vs. other classification algorithms for warped LPC-based speech/music discrimination
EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning
q-rung orthopair fuzzy Aczel-Alsina aggregation operators with multi-criteria decision-making
Safe learning-based gradient-free model predictive control based on cross-entropy method
Automated classification of brain diseases using the Restricted Boltzmann Machine and the Generative Adversarial Network
A hybrid genetic algorithm-adaptive network-based fuzzy inference system in prediction of wave parameters
Autonomous dispatch trajectory planning on flight deck: A search-resampling-optimization framework
A pre-trained multi-step prediction informer for ship motion prediction with a mechanism-data dual-driven framework
UAV sensor data applications with deep neural networks: A comprehensive survey
Attention-based hand pose estimation with voting and dual modalities
Federated learning with transient central initialization and decentralized edge aggregation
A bounded actor-critic reinforcement learning algorithm applied to airline revenue management
Adaptive graph learning algorithm for incomplete multi-view clustered image segmentation
Multi-dimensional real-time data-driven identification for progressive fracturing characteristics of sandstone under freeze-thaw cycles and seepage-stress coupling
From smoke to fire: A forest fire early warning and risk assessment model fusing multimodal data
Multi-modal transform-based fusion model for new product sales forecasting
SECUR-AMA: Active Malware Analysis Based on Monte Carlo Tree Search for Android Systems
Presenting a new search strategy to select synchronization values for classifying bipolar mood disorders from schizophrenic patients
Robust master planning of a socially responsible supply chain under fuzzy-stochastic uncertainty (A case study of clothing industry)
Multi-scale context feature and cross-attention network-enabled system and software-based for pavement crack detection
An approach to ship target detection based on combined optimization model of dehazing and detection
An innovative contrastive learning approach to improve image recognition robustness and interpretability via simulated environmental perturbations
Explainable data-driven formulation of chloride migration coefficient of eco-friendly concrete based on advanced automatic programming
Adaptive Deformable Convolutional Neural Network Framework for depression-related behavioral analysis in mice
The control of myopic behavior in semi-heterarchical production systems: A holonic framework
Artificial intelligence-aided nanoplasmonic biosensor modeling
Terrain traversability analysis methods for unmanned ground vehicles: A survey
DeepTrackStat: An end-to-end deep learning framework for extraction of motion statistics from videos of particles
Transformers-based information extraction with limited data for domain-specific business documents
Semantic attention and relative scene depth-guided network for underwater image enhancement
A novel photovoltaic cell defect detection method: A deep learning model based on multi-scale enhanced feature extraction
Progressive semi-supervised learning for specific emitter identification: An iterative clustering and pseudo-label refinement approach
The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW)
A novel lightweight model integrating convolutional neural network and self-attention mechanism for corn seeds quality image recognition
Boosting cluster tree with reciprocal nearest neighbors scoring
Fermatean fuzzy covering-based rough set and their applications in multi-attribute decision-making
Epidemiology-informed Spatiotemporal Graph Neural Network for heterogeneity-driven interpretable epidemic forecasting
Freely-drawn sketches interpretation using SVMs-chain modeling
Self-supervised monocular depth estimation based on combining convolution and multilayer perceptron
A generalized grey model with symbolic regression algorithm and its application in predicting aircraft remaining useful life
Sample augmentation-based adversarial training method to counter evasive spectre attacks
Reparameterization convolutional neural networks for handling imbalanced datasets in solar panel fault classification
Machine learning-based prediction of crack growth path and remaining life by data-driven surrogate model with adaptive dynamic correction algorithm
Generative Adversarial Super-Resolution at the edge with knowledge distillation
Inter-domain routing for communication networks using Hierarchical Hopfield Neural Networks
Galaxy image super-resolution reconstruction using diffusion network
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method
Safe semi-supervised learning for pattern classification
Reflectance material classification using optimized deep learning and change detection of LANDSAT surface reflectance images
A multi-agent approach using perceptron-based learning for robust operation of distributed chemical reactor networks
A cold-standby multilevel redundancy strategy for the protection of digital signal processor code by employing a modified bacterial evolutionary algorithm
Emulating the perceptual capabilities of a human evaluator to map the GRB scale for the assessment of voice disorders
Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks
The challenge of advanced model-based FDIR for real-world flight-critical applications
Extracting geometric and semantic point cloud features with gateway attention for accurate 3D object detection
A knowledge region selection enhanced quality-diversity algorithm for real-world flexible job shop scheduling with Automated Guided Vehicles transportation
Learning-based algorithm for physician scheduling for emergency departments under time-varying demand and patient return
A lightweight network for category-level open-vocabulary object pose estimation with enhanced cross implicit space transformation
Unified seam tracking algorithm via three-point weld representation for autonomous robotic welding
Argumentative reasoning and taxonomic analysis for the identification of medical errors
XNILMBoost: Explainability-informed load disaggregation training enhancement using attribution priors
Fuzzy enhanced transformer network for classification of hyperspectral image combined with light detection and ranging data
Attention-guided low-rank convolutional weighting for industrial missing data attacks
A hierarchical deep reinforcement learning method for coupled transportation and power distribution system dispatching
A hybrid Bayesian model updating and non-dominated sorting genetic algorithm framework for intelligent mix design of steel fiber reinforced concrete
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Understanding question-answering systems: Evolution, applications, trends, and challenges
Health evaluation of shield tunnel lining using combination weighting and finite interval cloud model
Improved genetic algorithm for integrated process planning and scheduling in distributed heterogeneous manufacturing environment
A Physics-Informed Deep Neural Network based beam vibration framework for simulation and parameter identification
A novel learning approach for short-term photovoltaic power forecasting - A review and case studies
Improved support vector clustering
Defect engineering of fatigue-resistant steels by data-driven models
MEMS fault-tolerant machine learning algorithm assisted attitude estimation for fixed-wing UAVs
An enhanced Archimedes optimization algorithm based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification
Multicriteria decision making under uncertainty: An advanced ordered weighted averaging operator for planning electric power systems
Medical artificial intelligence for early detection of lung cancer: A survey
Multiscale information enhanced spatial-temporal graph convolutional network for multivariate traffic flow forecasting via magnifying perceptual scope
Design and validation of a light-weight reasoning system to support remote health monitoring applications
Seismic data reconstruction via an adaptive feature fusion network
The bio-inspired model based hybrid sliding-mode tracking control for unmanned underwater vehicles
IRESE: An intelligent rare-event detection system using unsupervised learning on the IoT edge
State of health estimation of lithium-ion battery cell based on optical thermometry with physics-informed machine learning
The search for knowledge, contexts, and Case-Based Reasoning
Designing multiple biometric systems: Measures of ensemble effectiveness
A distance of quantum mass function and its application in multi-source information fusion method based on discount coefficient
Video saliency prediction via single feature enhancement and temporal recurrence
Establishing hybrid deep learning models for regional daily rainfall time series forecasting in the United Kingdom
A new one-dimensional testosterone pattern-based EEG sentence classification method
Skin lesion recognition via global-local attention and dual-branch input network
Structuring Meaningful Code Review Automation in Developer Community
Research on real-time detection method of rail corrugation based on improved ShuffleNet V2
DeepEvader: An evasion tool for exposing the vulnerability of deepfake detectors using transferable facial distraction blackbox attack
Application of the state space neural network to the fault tolerant control system of the PLC-controlled laboratory stand
Twin-delayed deep deterministic policy gradient algorithm for the energy management of microgrids
Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting
Genetic algorithm-trained radial basis function neural networks for modelling photovoltaic panels
A novel framework for wave forecasting based on deep learning: A case study in the Gulf of Aden
Failure mode and effect analysis: A three-way decision approach
A conditional generative model for end-to-end stress field prediction of composite bolted joints
ADD: An automatic desensitization fisheye dataset for autonomous driving
Intelligent FEA-based design improvement
DBE: Dynamic belief entropy for evidence theory with its application in data fusion
Super-resolved thermal imagery for high-accuracy facial areas detection and analysis
Forecasting online adaptation methods for energy domain
Fuzzy based risk assessment module for metropolitan construction project: An empirical study
Reliable scheduling and routing in robust multiple cross-docking networks design
Application of single camera-based gait analysis for accessible fall risk assessment among community-dwelling older people
Detecting false data injection attacks on power plants based on voting ensemble learning utilizing data diversification
Declarative and Mathematical Programming approaches to Decision Support Systems for food recycling
A novel dynamic fractional-order discrete grey power model for forecasting China's total solar energy capacity
AI-based methodology of integrating affective design, engineering, and marketing for defining design specifications of new products
Deep learning-based detection of aluminum casting defects and their types
Volatility forecasting and assessing risk of financial markets using multi-transformer neural network based architecture
Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques
Physics-informed State-space Neural Networks for transport phenomena
Real-time and explainable rock mass classification under imbalanced tunnel boring machine data using hybrid resampling and ensemble learning
REDIBAGG: Reducing the training set size in ensemble machine learning-based prediction models
A region-based convolutional fusion network for typhoon intensity estimation in satellite images
Simultaneous mining of frequent closed itemsets and their generators: Foundation and algorithm
Refinement of the feedforward network in multi-class classification problems using a hybrid approach combining supervised clustering and a fuzzy classifier
Adaptive neural speed controllers applied for a drive system with an elastic mechanical coupling - A comparative study
Therapy-driven Deep Glucose Forecasting
Reinforced fuzzy neural networks based on maximum entropy clustering and conjugate gradient method
Gearbox fault diagnosis based on temporal shrinkage interpretable deep reinforcement learning under strong noise
Adaptive hierarchical control of quadcopters via safe reinforcement learning from human demonstration
An innovative computer-based approach for automated preprocessing, enhancement, and pectoral muscle simulation of raw digital mammogram images
An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction
Reinforcement Learning initialization by evolutionary formulation: Application for workflow autoscaling in the Cloud
A federated sleep staging method based on adaptive re-aggregation and double prototype-contrastive using single-channel electroencephalogram
Ordered weighted aggregation of fuzzy similarity relations and its application to detecting water treatment plant malfunction
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation
Ergonomic conscious scheduling of maintenance activities in marine vehicles using an optimized non-dominated sorting genetic algorithm-II - An application of job-shop scheduling
Detection of locally relevant variables using SOM-NG algorithm
Latent semantic similarity based interpretation of Chinese metaphors
Partial Label Learning with competitive learning graph neural network
Soft likelihood-based multi-source fusion with reliability modeling and optimization under Dempster-Shafer theory
A new feature selection algorithm and composite neural network for electricity price forecasting
Automated detection and quantification of honey adulteration using thermal imaging and convolutional neural networks
Leverage points in the Bitcoin Ecosystem: Impact on price and climate change using dynamic systems and spherical fuzzy sets
A hybrid local search algorithm for scheduling real-world job shops with batch-wise pending due dates
A multi-topology quantum convolutional neural network with qubit-measurement attention for image classification
MangoNet: A deep semantic segmentation architecture for a method to detect and count mangoes in an open orchard
Dual-stream feature fusion network for person re-identification
Alternatives selection for produced water management: A network-based methodology
Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant
CubeSatNet: Ultralight Convolutional Neural Network designed for on-orbit binary image classification on a 1U CubeSat
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy
A self-attention enhanced generative adversarial autoencoder for anomaly detection of self-discharge of lithium-ion batteries
Multi-task time series forecasting with adaptive graph neural networks based on feature uncertainty
Adversarial-Causal Representation Learning Networks for Machine fault diagnosis under unseen conditions based on vibration and acoustic signals
Involution fused convolution for classifying eye-tracking patterns of children with Autism Spectrum Disorder
Probabilistic intervals prediction based on adaptive regression with attention residual connections and covariance constraints
Occam's razor in dimension reduction: Using reduced row Echelon form for finding linear independent features in high dimensional microarray datasets
Intuitionistic fuzzy power Aczel-Alsina model for prioritization of sustainable transportation sharing practices
A method of knowledge distillation based on feature fusion and attention mechanism for complex traffic scenes
Multi-order feature learning with global-local attention for real-time X-ray security inspection
Three-branch neural network for No-Reference Quality assessment of Pan-Sharpened Images
Neural age screening on question answering communities
StainSWIN: Vision transformer-based stain normalization for histopathology image analysis
Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost
A novel approach for understanding the parking demand for internal access roads in hub car parks
Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems
A deep learning framework for text-independent writer identification
Application of dynamic neighborhood small population particle swarm optimization for reconfiguration of shipboard power system
Pose estimation and robotic insertion tasks based on YOLO and layout features
Object-size-driven design of convolutional neural networks: virtual axle detection based on raw data
Adaptive neural model-based fault tolerant control for multi-variable processes
Liquid metal microfluidic cooling system for high-efficiency thermal management via learning-based genetic algorithm
Genetic programming approach to predict a model acidolysis system
Detection algorithm of abnormal flow state fluid on closed vibrating screen based on improved YOLOv5
Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times
Crowdsourcing incentive mechanisms for cross-platform tasks: A weighted average maximization approach
Normalized auto-encoder based on biased walk for network representation learning
NPNT: Non-oscillating Process Negation Transformation of mass functions and a negation-based discounting method in information fusion
Propeller fault-detection method for electric-propulsion aircraft using motor signals and generative model-based semi-supervised learning
Adaptive policy learning for data-driven powertrain control with eco-driving
Deep learning-driven channel estimation for Intelligent reflecting surfaces aided networks: A comprehensive survey
Rice leaf disease identification by residual-distilled transformer
A two-stage network framework for topology optimization incorporating deep learning and physical information
A lightweight wood defect segmentation network via multi-dimension boundary perception and guidance
A self-tuning fuzzy controller for a class of multi-input multi-output nonlinear systems