yusuke1997/dblp-id-title huggingface dataset:
Graph attention network with convolutional layer for predicting gene regulations from single-cell ribonucleic acid sequence data
Application of a continuous supervisory fuzzy control on a discrete scheduling of manufacturing systems
Improving single image localization through domain adaptation and large kernel attention with synthetic data
Temporal transaction information-aware Ponzi scheme detection for ethereum smart contracts
Dynamic scheduling for multi-level air defense with contingency situations based on Human-Intelligence collaboration
Big data-assisted urban governance: A comprehensive system for business documents classification of the government hotline
Yield estimation and health assessment of temperate fruits: A modular framework
Object-oriented knowledge representation and discovery of human chewing behaviours
Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites
Multilayer inverse dynamic deduction algorithm of standard contradiction separation rule based on parallel mechanism
A three-stage pavement image crack detection framework with positive sample augmentation
A note on "Optimizing the selection of the secret parameters for public key cryptosystems by using interval linear programming and fully fuzzy linear programming"
Single-shot pruning and quantization for hardware-friendly neural network acceleration
Adaptive feature fusion and disturbance correction for accurate remaining useful life prediction of rolling bearings
A two-stage gap safe screening rule for multi-label optimal margin distribution machine
A hybrid approach combining an improved genetic algorithm and optimization strategies for the asymmetric traveling salesman problem
Inductive discovery of laws using monotonic rules
Model-based contextual reinforcement learning for robotic cooperative manipulation
A procedure for anomaly detection and analysis
Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art
Hybrid optimization approach for syngas-fueled gas turbines: Integrating inverse problem solving and machine learning techniques
A transformer condition recognition method based on dissolved gas analysis features selection and multiple models fusion
An analysis of explainability methods for convolutional neural networks
Instance-aware image dehazing
A relational approach to probabilistic classification in a transductive setting
Feature-based evidential reasoning for probabilistic risk analysis and prediction
Towards an autonomous clinical decision support system
SAR ship localization method with denoising and feature refinement
A multimodal multi-scale fusion network for leak detection in marine piping systems
Analysis of deep-sea sediment element concentrations using clustered machine learning
An integrated feature extraction framework of linear multi-layer perceptron to reduce computation complexity for remaining useful life prediction
Hindi fake news detection using transformer ensembles
Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup
Dynamic multi-objective optimisation using deep reinforcement learning: benchmark, algorithm and an application to identify vulnerable zones based on water quality
Image-based preliminary emergency assessment of damaged buildings after earthquake: Taiwan case studies
A novel framework for efficient dominance-based rough set approximations using K-dimensional (K-D) tree partitioning and adaptive recalculations techniques
Enhanced information processing for smart detection of clone accounts on social media
KD loss: Enhancing discriminability of features with kernel trick for object detection in VHR remote sensing images
A three-dimensional multi-sensor fusion convolutional network for bearing fault diagnosis under complex small sample conditions
Intelligent assessment of habitat quality based on multiple machine learning fusion methods
Finite-time consensus of leader-following multi-agent systems with event-triggered control strategy utilizing absolute velocity information
Training-free retrieval-based log anomaly detection with pre-trained language model considering token-level information
Supply chain coordination: A game-theory approach
Augmented deep reinforcement learning for the energy management of microgrids considering renewable stochastic parameters
A double-adaptive general variable neighborhood search for an unmanned electric vehicle routing and scheduling problem in green manufacturing systems
MA-Net: A multi-attention segmentation network for anisotropic prostate magnetic resonance images
A hybrid architecture based on structured state space sequence model and convolutional neural network for real-time object detection
Topic models for decision-support systems, Part II: Expert-in-the-loop hierarchical topic models
Dual-path multi-branch feature residual network for salient object detection
A hybrid quantum-classical approach for liver disease detection using quantum machine learning
Evolutionary multi-objective multi-agent deep reinforcement learning for sustainable maintenance scheduling
A transfer learning model for cognitive electronic reconnaissance of unmanned aerial vehicle: Experiments
A two-stage retired batteries screening solution through dynamic characteristic imaging processing
An evolutionary computational approach for formulation of compression index of fine-grained soils
Quadruple mention text-enhanced temporal knowledge graph reasoning
Feature transformation and statistical calibration for cross-domain few-shot classification
ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG
A new criterion to validate and improve the classification process of LAMDA algorithm applied to diesel engines
Analysing centralities for organisational role inference in online social networks
Optimized data-driven method to study the self-healing and durability of ultra-high performance concrete
Identification of freeway crash hotspots: A novel methodological framework using non-crash data for identification and errors reduction
Unsupervised feature selection via latent feature representation and modified graph embedding
FGBVD-KD: Frequency-Guided bias-variance decomposition knowledge distillation for fracture detection
A Convolutional Neural Network based model for daily motor activities recognition: A contribution for Parkinson's Disease
A hybrid deep learning pavement crack semantic segmentation
Learning a joint mutual-guidance enhancement network for degraded low-light color image and low-resolution depth map
Derivation of "is a" taxonomy from Wikipedia Category Graph
Measuring vertical track irregularities from instrumented heavy haul railway vehicle data using machine learning
New incremental Takagi-Sugeno state model for optimal control of multivariable nonlinear time delay systems
Secured mutual wireless communication using real and imaginary-valued artificial neuronal synchronization and attack detection
A grey breakpoint prediction model and its application in forecasting and policy evaluation
Ovarian cancer data analysis using deep learning: A systematic review
Research on multi-objective point path planning for mobile inspection robot based on Multi-Informed-Rapidly Exploring Random Tree∗
Solving hard-exploration problems with counting and replay approach
Neural Hyper Flow: Parameterized prediction for control systems
An efficient multimodal electroencephalography and functional near-infrared spectroscopy approach using stroop task to evaluate internet gaming disorder with machine learning methods: A comprehensive study
Flowshop scheduling optimization for multi-shift precast production with on-time delivery
Improving the performance of automatic short answer grading using transfer learning and augmentation
Evaluation of Artificial Intelligence-Based Solid Waste Segregation Technologies through Multi-Criteria Decision-Making and complex q-rung picture fuzzy Frank aggregation operators
A deep learning-based adaptive denoising approach for fine identification of rock microcracks from noisy strain data
Adaptive fuzzy sliding mode control for flexible satellite
Joint prediction of state-of-charge and state-of-energy using a multiple channels bidirectional long short-term memory and inverted transformer framework
Solving the imbalanced dataset problem in surveillance image blur classification
Machine learning for predicting the half cell potential of cathodically protected reinforced cement concrete slabs subjected to chloride ingress
Fourier warm start for physics-informed neural networks
Efficient deep discriminant embedding: Application to face beauty prediction and classification
Appearance-semantic graphical model for human-object interaction detection
An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems
Electric vehicle charging and discharging control and microgrid energy management based on single agent deep reinforcement learning
Lightweight deep learning models for aerial scene classification: A comprehensive survey
Using Conceptual Graph modeling and inference to support the assessment and monitoring of bridge structural health
A novel two-stage variables contribution analysis method toward explainable graph convolutional network-based industrial fault diagnosis
Enhancing accuracy of one-dimensional characteristic predictions for axial compressors using deep learning
Predicting the scouring depth around a rectangular pier with a round nose by artificial intelligence methods
Neural network-based analysis of clinical and demographic variables for predicting platelet counts and prothrombin time in chronic kidney disease patients
A multi-sensor fusion and multi-source domain adaptive fault diagnosis method for rotating machinery
Trajectory learning and reproduction for differential drive mobile robots based on GMM/HMM and dynamic time warping using learning from demonstration framework
Cognitive Digital Twins of the natural environment: Framework and application
Bid evaluation in civil construction under uncertainty: A two-stage LSP-ELECTRE III-based approach
A review of machine learning techniques for enhanced energy efficient 5G and 6G communications
Vision differential Transformer for brain tumor classification
Fisher ratio-based multi-domain frame-level feature aggregation for short utterance speaker verification
A transfer learning method of collaborating random walk and adaptive instance normalization for inscription image denoising
A novel semi-supervised model for pre-impact fall detection with limited fall data
GMFIMamba: Remote sensing change detection based on group Mamba feature interaction
Fabric defect detection based on multiple fractal features and support vector data description
Geometry-informed multimodal fusion network for enhancing high-density spatial transcriptomics from histology images
Advanced computational modeling of Darcy-Forchheimer effects and nanoparticle-enhanced blood flow in stenosed arteries
A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities
A hybrid prognosis method based on health indicator and wiener process: The case of multi-sensor monitored aero-engine
Label consistent semi-supervised non-negative matrix factorization for maintenance activities identification
Optimization of spatial mode separation in few-mode nanostructured fibers with generative inverse design networks
Optimisation of garment design using fuzzy logic and sensory evaluation techniques
A robust correlation coefficient measure of dual hesitant fuzzy soft sets and their application in decision making
Meta pseudo labels for anomaly detection via partially observed anomalies
Prebuilt spatiotemporal index: An exploration of efficient real-time data storage in intelligent transportation systems
Towards an interpretable data-driven switch placement model in electric power distribution systems: An explainable artificial intelligence-based approach
Reshaping the future of sports with artificial intelligence: Challenges and opportunities in performance enhancement, fan engagement, and strategic decision-making
Self-learning swimming of a three-disk microrobot in a viscous and stochastic environment using reinforcement learning
Neural block control for synchronous generators
Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction
A hybrid of clustering and meta-heuristic algorithms to solve a p -mobile hub location-allocation problem with the depreciation cost of hub facilities
Brain tumor classification using weighted least square twin support vector machine with fuzzy hyperplane
From data scarcity to diagnostic precision: A novel data augmentation and fault diagnosis framework for district heating substations
Viscosity virtual sensor to control combustion in fossil fuel power plants
Enhanced lightweight detection of small and tiny objects in high-resolution images using object tracking-based region of interest proposal
A parallel genetic local search algorithm for intrusion detection in computer networks
Applying TRIZ and Kansei engineering to the eco-innovative product design towards waste recycling with latent Dirichlet allocation topic model analysis
Finite time multilayer neural network command filter backstepping controller design for large scale uncertain nonlinear systems
Hybrid prediction model for the friction performance of asphalt pavements by combining multi-scale decomposition and transformer network
Wind speed prediction utilizing dynamic spectral regression broad learning system coupled with multimodal information
Sprinkled semantic diffusion kernel for word sense disambiguation
A swarm intelligence approach to the synthesis of two-dimensional IIR filters
Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review
An efficient technique for reversible data hiding using bidirectional histogram shifting and multistage embedding
A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting
Online clustering via finite mixtures of Dirichlet and minimum message length
Regional coverage balance and efficient worker recruitment for self-organized mobile crowdsourcing
Signal-to-noise ratio guided noise adaptive network via Dual-domain collaboration for low-light image enhancement
A real-time anomaly detection method for robots based on a flexible and sparse latent space
Research and traceability assessment of thermal radiation damage of glass based on artificial neural network
Corrigendum to "A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer" [Eng. Appl. Artif. Intell 26 (2013), 945-950]
A differential evolution algorithm with the guided movement for population and its application to interplanetary transfer trajectory design
A hybrid local search algorithm for minimum dominating set problems
Towards fusing fuzzy discriminative projection and representation learning for image classification
Natural gas consumption behavior of companies by clustering analysis
Robust kernelized approach to clustering by incorporating new distance measure
Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method
A transfer learning approach to image-based intelligent detection of street lighting lamp types and wattages
Decoupled variational autoencoder with interactive attention for affective text generation
Improved performance of PSO with self-adaptive parameters for computing the optimal design of Water Supply Systems
An application of a fuzzy classifier extracted from data for collision avoidance support in road vehicles
Output-only response migration method of single-layer reticulated shells based on generative adversarial network
Selecting cloud providers of infrastructure as a service: A picture fuzzy symmetry point of criterion-based expert-driven model
Design of an intelligent grading system for Chinese water chestnuts utilizing advanced artificial intelligence methods
Using the attention layer mechanism in construction of a novel ratio control chart: An application to Ethereum price prediction and automated trading strategy
Polyhedral representations with high-frequency for three-dimensional point cloud classification
A comprehensive risk assessment framework for occupational health and safety in pharmaceutical warehouses using Pythagorean fuzzy Bayesian networks
Multimodal unified generalization and translation network for intelligent fault diagnosis under dynamic environments
Perceptually adaptive MC-SS image watermarking using GA-NN hybridization in fading gain
Designing on-board explainable passenger flow prediction
Neural network model-based automotive engine air/fuel ratio control and robustness evaluation
High-order complementary cloud application programming interface recommendation with logical reasoning for incremental development
Auxiliary algorithm to approach a near-global optimum of a multi-objective function in acoustical topology optimization
Strengthening temporal action segmentation through diffusion models
Masticatory organ dysfunction recognition based on multimodal information
A dual-level consensus model for large-scale group decision-making driven by trust relationships in social networks
Multi-robot navigation based QoS routing in self-organizing networks
Cooperative distillation with X-ray images classifiers for prohibited items detection
A hierarchically normalized physics-informed neural network for solving differential equations: Application for solid mechanics problems
An improved differential evolution algorithm for vehicle routing problem with simultaneous pickups and deliveries and time windows
Scenario-based query processing for video-surveillance archives
A new automated compression technique for 2D electrocardiogram signals using discrete wavelet transform
A descriptive behavior intention inference framework using spatio-temporal semantic features for human-robot real-time interaction
A domain generalization method for deploying driver distraction detection models to practical application scenarios
Computational intelligence for early detection of infertility in women
Spatial and temporal attention-based and residual-driven long short-term memory networks with implicit features
Simple and practical single-shot digital holography based on unsupervised diffusion model
Edge-Aware Transformer with Shared Axis Feature Alignment and Adaptive Self-Attention for Glioma Grading
Cloud classification and cloud cover estimation using hybrid deep Kronecker network- ResNeXt
A surrogate-assist quasi-affine transformation evolutionary for multi-objective optimization of empty train deployment on heavy-haul railways
Bridging the gap between AI and the industry - A study on bearing fault detection in PMSM-driven systems using CNN and inverter measurement
Combining model-based and learning-based anomaly detection schemes for increased performance and safety of aircraft braking controllers
Supervisory risk control with application to industrial drone inspection
SDG: A global large-scale airport perception disparity cognition modeling method based on deep learning and geographic knowledge
Multiple fault detection and isolation using artificial neural networks in sensors of an internal combustion engine
Time series anomaly detection based on time-frequency domain with masking strategy and contrastive learning
HM-YOLOv5: A fast and accurate network for defect detection of hot-pressed light guide plates
Fast crowd density estimation with convolutional neural networks
Mgformer: Multi-group transformer for multivariate time series classification
An ELS-based approach with dynamic probabilities management in local search for the Dial-A-Ride Problem
A hybrid multi-stage decision-making method with probabilistic interval-valued hesitant fuzzy set for 3D printed composite material selection
Class-specific regularized joint distribution alignment for unsupervised domain adaptation
Stampede detector based on deep learning models using dense optical flow
Multi-vehicle clustered traveling purchaser problem using a variable-length genetic algorithm
A dual-channel multimodal sentiment analysis framework based on three-way decision
A probability-based core dandelion guided dandelion algorithm and application to traffic flow prediction
A lot of randomness is hiding in accuracy
Improved magnetic charged system search optimization algorithm with application to satellite formation flying
Resilient kernel-based unsupervised multi-view feature selection via compact binary hashing
Prognostics of lithium-ion batteries health state based on adaptive mode decomposition and long short-term memory neural network
Extended combined method based on Cumulative Prospect theory with type-2 neutrosophic fuzzy numbers and their application to the prioritization of inefficient land redevelopment
Spatiotemporal traffic prediction in Dublin: Volume, speed, and influencing factors
Intelligent long-term planning with interaction for crop management
A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels
Deep learning based electricity demand forecasting to minimize the cost of energy imbalance: A real case application with some fortune 500 companies in Türkiye
Global-local contrastive learning: A multi-operating-condition guided approach for few-shot cross-domain bearing fault diagnosis
A deep learning approach for credit scoring using credit default swaps
A soft computing approach for inverse kinematics of robot manipulators
The Emergence MAC (E-MAC) protocol for wireless sensor networks
Integrating rough sets and situation-based qualitative models for processes monitoring considering vagueness and uncertainty
Deep multimodal fusion of spectral and visual data for laser welding defect classification
Stochastic and global real time optimization of Tennessee Eastman challenge problem
Rescheduling and optimization of logistic processes using GA and ACO
A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values
PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques
KD SENSO-MERGER: An architecture for semantic integration of heterogeneous data
A collection of method fragments automated with model transformations in agent-orientedmodeling
A dual attribute weighted decision fusion system for fault classification based on an extended analytic hierarchy process
β-divergence NMF with biorthogonal regularization for data representation
Bond Graph-CNN based hybrid fault diagnosis with minimum labeled data
New Gene Expression Programming models for normalized shear modulus and damping ratio of sands
Adaptive fuzzy-based motion generation and control of mobile under-actuated manipulators
Secondary restoration of islanded alternating current microgrids under a neural inverse optimal control
Multi-objective optimization of sustainable fly ash cement bricks considering compressive strength and carbon emission
Plan commitment: Replanning versus plan repair
Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection
A turning point few-shot learning for COVID-19 diagnosis
Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor
Association rule mining using binary particle swarm optimization
Adaptive neuro-fuzzy inference system based data interpolation for particle image velocimetry in fluid flow applications
Core-attributes enhanced generative adversarial networks for robust image enhancement
Intelligent identification of girth welds defects in pipelines using neural networks with attention modules
Synthetic aperture radar target recognition with limited training data based on frequency-domain-assisted dual-stream attention hierarchical deformable convolutional networks