yusuke1997/dblp-id-title huggingface dataset:
A dynamic Bayesian network based framework to evaluate cascading effects in a power grid
Constrained multiobjective optimization design for ordinary shovel attachment of hydraulic excavator based on evolutionary algorithm
Leveraging pretrained embeddings and self-attention based convolutional neural networks for early prediction of ventilator-associated pneumonia from clinical notes
Real-time semantic segmentation in traffic scene using Cross Stage Partial-based encoder-decoder network
PrecTime: A deep learning architecture for precise time series segmentation in industrial manufacturing operations
Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network
Optimum static balancing of an industrial robot mechanism
PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections
The docking control system of an autonomous underwater vehicle combining intelligent object recognition and deep reinforcement learning
Intelligent task planning and action selection of a mobile robot in a multi-agent system through a fuzzy neural network approach
Multi-objective optimization of seeding performance of a pneumatic precision seed metering device using integrated ANN-MOPSO approach
An adaptive network fusing light detection and ranging height-sliced bird's-eye view and vision for place recognition
A new hybrid approach combining transformer-based language models and graph neural networks for cryptocurrency forecasting
Combining optical flow and Swin Transformer for Space-Time video super-resolution
A new efficient biased random key genetic algorithm for open shop scheduling with routing by capacitated single vehicle and makespan minimization
Systematic literature review of artificial intelligence techniques on condition based maintenance models for transport applications
Particle swarm optimization-based parameter identification applied to permanent magnet synchronous motors
Emergency response scheme selection with T-spherical hesitant probabilistic fuzzy TODIM-TPZSG approach
Multi-objective ecological reservoir operation based on water quality response models and improved genetic algorithm: A case study in Three Gorges Reservoir, China
Bi-level binary coded fully connected classifier based on residual network 50 with bottom and deep level features for bearing fault diagnosis
A novel shape-based averaging algorithm for time series
MOEPO: A novel Multi-objective Emperor Penguin Optimizer for global optimization: Special application in ranking of cloud service providers
State slow feature softmax Q-value regularization for offline reinforcement learning
Crude oil price forecasting with multivariate selection, machine learning, and a nonlinear combination strategy
Enabling integration and interaction for decentralized artificial intelligence in airline disruption management
A text classification-based approach for evaluating and enhancing the machine interpretability of building codes
Coral reefs optimization algorithms for agent-based model calibration
On-shelf utility mining from transaction database
Structure damage diagnosis using neural network and feature fusion
A novel approach to solve AI planning problems in graph transformations
A comparison of two data analysis techniques and their applications for modeling the carbon dioxide capture process
Self-localization based on terrestrial and satellite semantics
CLformer: Constraint-based Locality enhanced Transformer for anomaly detection of ancient building structures
NashDQNSleep: Nash-based Deep Q-Network adaptive sleep scheduling for energy efficiency and Age of Information optimization in Industrial Internet of Things
IoT data analytics in dynamic environments: From an automated machine learning perspective
Optimizing urban block morphology for photovoltaic power and thermal comfort in hot and humid regions
Deep learning based methodological approach for prediction of dynamic modulus and phase angle of asphalt concrete
A boundary approach for set inversion
A review of dynamic flexible regulation strategies for multi-energy coupled steelmaking-continuous casting production
Robust non-quadratic static output feedback controller design for Takagi-Sugeno systems using descriptor redundancy
Dynamic-static Siamese Takagi-Sugeno-Kang fuzzy system with inductive-reflection deep fuzzy rule
An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend
Speech emotion recognition based on spiking neural network and convolutional neural network
A novel approach to wind speed modeling: A fast and robust model with high generalizability
Omni-scale spatio-temporal attention network for impact localization of sandwich composite panels
Optimizing photovoltaic systems with on-load tap changer and electric vehicle management: A double-layer approach
Link prediction in weighted social networks using learning automata
Asymmetric convolutional multi-level attention network for micro-lens segmentation
sTetro-D: A deep learning based autonomous descending-stair cleaning robot
Alarm management via temporal pattern learning
Pedestrian crossing intention prediction in obstructed scenarios using graph-based feature reconstruction and multi-scale self-attentive encoding
Screening out potentially defective products in micro-transformer production by intelligently integrating mechanical and electronic signals
Development of data-knowledge-driven predictive model and multi-objective optimization for intelligent optimal control of aluminum electrolysis process
A hybrid deep learning method for the real-time prediction of collision damage consequences in operational conditions
Artificial intelligence for computer aided detection of pneumoconiosis: A succinct review since 1974
Image set based ear recognition using novel dictionary learning and classification scheme
A semantic-embedded multi-view graph to sequence learning approach for air traffic flow prediction in the terminal maneuvering area of multi-airport system
Convolutional neural network-based vulnerability detection using image representations fused from key code slice text features and complex network metrics
A review of opposition-based learning from 2005 to 2012
Distributed global adaptive bipartite consensus of multi-agent systems with signed communication topology structure
Artificial Neural Networks for inverse kinematics problem in articulated robots
Identification of sensitivities in Bayesian networks
A front-door adjustment based cross-component few-shot learning fault diagnosis approach considering unobservable confounders
Landslide early warning model based on multi-source monitoring data and unsupervised machine learning
Token-disentangling Mutual Transformer for multimodal emotion recognition
Enhanced audio classification leveraging pre-trained deep visual models
Modelling of ground-level ozone concentrations in Kolkata, India, using machine learning techniques
Robust sparse discriminative least squares regression for image classification
Interpretable machine learning models for predicting and explaining vehicle fuel consumption anomalies
A rescheduling strategy based on deep reinforcement learning for new order insertion
A survey on deep reinforcement learning approaches for traffic signal control
Multiple attribute group decision making based on quasirung orthopair fuzzy sets: Application to electric vehicle charging station site selection problem
Harmonizing sustainability and affordability in desalination: A disc spherical fuzzy weighted aggregated sum product assessment approach
BOLD-net: Brightness enhancement for old images using deep curve estimation and attention modules
Swarm intelligence, exact and matheuristic approaches for minimum weight directed dominating set problem
Multimodal hateful meme detection using knowledge distillation and hierarchical vision transformer framework
Simplified swarm optimization for cutting optimization problems
Solving routing problems for multiple cooperative Unmanned Aerial Vehicles using Transformer networks
Constructing a robust Short-Text Clustering Model for contrastive learning based on optimized adaptive optimal transport for pseudo-label generation
A swimming crab portunus trituberculatus re-identification method based on RNN encoding of striped key regions
Real-time anomaly detection on time series of industrial furnaces: A comparison of autoencoder architectures
A meta-contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating
Online learning of neural networks using random projections and sliding window: A case study of a real industrial process
Real-time prediction of the mechanical behavior of suction caisson during installation process using GA-BP neural network
Distance based resampling of imbalanced classes: With an application example of speech quality assessment
A heuristic-based framework to solve a complex aircraft sizing problem
A framework for designing power-efficient inference accelerators in tree-based learning applications
A novel multi-label pest image classifier using the modified Swin Transformer and soft binary cross entropy loss
Self-Attention Causal Dilated Convolutional Neural Network for Multivariate Time Series Classification and Its Application
A breakout local search (BLS) method for solving the assembly sequence planning problem
Automated classification of thyroid disease using deep learning with neuroevolution model training
Fuzzy logic control for a petroleum separation process
Drill-Rep: Repetition counting for automatic shot hole depth recognition based on combined deep learning-based model
Fault diagnosis of motor bearing in complex scenarios based on Mamba and Indicative Contrastive Learning
A two-stage sustainable uncertain multi-objective portfolio selection and scheduling considering conflicting criteria
Predictive model of bond strength between recycled aggregate concrete and rebar after high-temperature based on conditional table generation adversarial networks data augmentation and gene expression programming algorithm
A multiscale analysis-assisted two-stage reduced-order deep learning approach for effective thermal conductivity of arbitrary contrast heterogeneous materials
A robust routing protocol for energy and coverage optimization in wireless sensor networks using game theory and heuristic algorithm
A hybrid DEMATEL-FRACTAL method of handling dependent evidences
Identification of DNA-protein binding sites by bootstrap multiple convolutional neural networks on sequence information
Generative models with helical time encoding for seasonal time series forecasting
Improving real-time driver distraction detection via constrained attention mechanism
Developing learning based intelligent fusion for deblurring confocal microscopic images
Prompt-MGNet: Prompt multi-granularity attentional networks for medical image restoration
Vibration suppression of ball-screw drive system based on flexible dynamics model
A multi-agent simulation framework on small Hadoop cluster
An effective hybrid meta-heuristic for flexible flow shop scheduling with limited buffers and step-deteriorating jobs
A multi-domain Collaborative bearing data generation model for improving the comprehensive quality of generated samples
Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing
An imbalanced classification approach for establishment of cause-effect relationship between Heart-Failure and Pulmonary Embolism using Deep Reinforcement Learning
Machining vibration states monitoring based on image representation using convolutional neural networks
A novel high-accuracy graph neural network-based rumor detection method
A note on "Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making"
A two-stage feature selection method for hob state recognition
Causal variable selection for industrial process quality prediction via attention-based GRU network
Variational Bayesian deep fuzzy models for interpretable classification
A systematic survey on explainable AI applied to fake news detection
An efficient time series forecasting model based on fuzzy time series
Multi-objective evolutionary design of robust controllers on the grid
Dual-head detector with point-driven transformer and semantic-spatial gating for liquid crystal display defects
Research on data-driven model for power grid fault diagnosis fusing topological quantification information
Mention Distance-aware Interactive Attention with Multi-step Reasoning for document-level relation extraction
Multi-attribute group decision-making based on q-rung orthopair fuzzy Aczel-Alsina power aggregation operators
Improved self-attention multi-model fusion for load forecasting in regional integrated energy systems
Gossypium herbaceum: Folium disease identification and classification using Efficient Net-Coordinate Convolutional Neural Network (EcoNet)
Assessment of a family of recurrent neural network models for flood susceptibility Mapping: An explainable glass-box approach
CBFLNet: Cross-boundary feature learning for large-scale point cloud segmentation
Adaptive neural boundary control for multi-agent manipulators system with uncertainties through cooperative disturbance observers network
Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method
Generalized elastic net Lp-norm nonparallel support vector machine
Multi-criteria decision-making for the selection of best airport ground access mode with a new fuzzy rough-entropy based method
A framework for Interpretable deep learning in cross-subject detection of event-related potentials
Selection of Internet of Things-enabled sustainable real-time monitoring strategies for manufacturing processes using a disc spherical fuzzy Schweizer-Sklar aggregation model
Multi-objective weighted average algorithm: a novel algorithm for multi-objective optimization problems and its application in engineering problems
Adaptive frame synchronization for surveillance system across a heterogeneous network
Pos-DANet: A dual-branch awareness network for small object segmentation within high-resolution remote sensing images
More realistic and accurate precipitation nowcasting with Conditional Rectified Flow Transformers
A novel spatial downscaling algorithm based on deep learning considering geographical spatial heterogeneity and nonlinear changes: a case study of the Yangtze River Basin
Stabilization of stochastic time-varying coupled systems with delays and Lévy noise on networks based on aperiodically intermittent control
A gradient descent matrix factorization for microtask crowdsourcing
MAVREN: A multilayered adaptive framework for deploying vision-language models on resource-constrained unmanned aerial vehicles for autonomous search and rescue
Cross-view enhancement network for underwater images
DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems
A hybrid neural network and ARIMA model for water quality time series prediction
Email security level classification of imbalanced data using artificial neural network: The real case in a world-leading enterprise
Redefining core preliminary concepts of classic Rough Set Theory for feature selection
Physics-based reduced order modeling for uncertainty quantification of guided wave propagation using Bayesian optimization
Uncertainty inspired domain adaptation network for rail surface defect segmentation
A honeybee social foraging algorithm for feedback control of smart lights
DEVS modelling and simulation of human social interaction and influence
Mono-lingual text reuse detection for the Urdu language at lexical level
A multiple aging factor interactive learning framework for lithium-ion battery state-of-health estimation
Image retrieval using deep saliency edge feature
AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information
A Multi-Strategy Improved Differential Evolution algorithm for UAV 3D trajectory planning in complex mountainous environments
Fault diagnosis based on residual-knowledge-data jointly driven method for chillers
Stability-based Dynamic Bayesian Network method for dynamic data mining
Underwater target pose Recognition: A deep learning approach based on sonar signals
Unlocking language boundaries: AraCLIP - transforming Arabic language and image understanding through cross-lingual models
Sentiment analysis of imbalanced datasets using BERT and ensemble stacking for deep learning
Thermal buckling of graphene platelets reinforced microplates with piezoelectric layers using artificial neural network
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques
A retrospective study on handwritten mathematical symbols and expressions: Classification and recognition
Non-destructive Printed Circuit Board layout verification using a deterministic diffusion-guided framework
Feature optimization method for white feather broiler health monitoring technology
Deep learning and adaptive boosting for hydroelectric power prediction using hydro-meteorological data: Insights and feature importance analysis
Integrated dual-level dependency analysis framework for multi-task judicial decision prognosis in murder cases
Evaluating the effect of curing conditions on the glass transition of the structural adhesive using conditional tabular generative adversarial networks
Real-time measurement-driven reinforcement learning control approach for uncertain nonlinear systems
Evolutionary dynamic multiobjective optimization using a Bayesian vector autoregression prediction model
Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis
Pattern classification models for classifying and indexing audio signals
Chin electromyography-based motor unit decomposition for alternative screening of obstructive sleep apnea events: A comprehensive analysis
Research on state-parameter estimation of unmanned Tractor - A hybrid method of DEKF and ARBFNN
Automated detection of stages, zones, and plus diseases of Retinopathy of Prematurity using quantum convolutional networks in neonatal fundus images
Ensemble-based active learning using fuzzy-rough approach for cancer sample classification
Using transformers for multimodal emotion recognition: Taxonomies and state of the art review
Scheduler-oriented algorithms to improve human-machine cooperation in transportation scheduling support systems
Reference-based super-resolution reconstruction of remote sensing images based on a coarse-to-fine feature matching transformer
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
Switching synthesizing-incorporated and cluster-based synthetic oversampling for imbalanced binary classification
An efficient SMD-PCBA detection based on YOLOv7 network model
Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC
Multi-input dual-branch reverse distillation for screw surface defect detection
An adaptive spatial-temporal prediction model for landslide displacement based on decomposition architecture
Improvement of online adaptation knowledge acquisition and reuse in case-based reasoning: Application to process engineering design
Multi-mechanism-based modified bi-objective Harris Hawks optimization for sustainable robotic disassembly line balancing problems
Enhancing long-term load forecasting with convolutional informer-based hybrid model
An effective method for prospective scheduling of tasks in cloud-fog computing with an energy consumption management approach based on Q-learning
Key region Semantic information Augmented Transformer for Image Captioning
Gene selection for cancer tumor detection using a novel memetic algorithm with a multi-view fitness function
Solver-free artificial intelligence framework for stress-strain prediction and rapid field visualisation of fibre-reinforced polymer-confined recycled aggregate concrete
Physics-informed neural network combined with characteristic-based split for solving Navier-Stokes equations
A robustness division based multi-population evolutionary algorithm for solving vehicle routing problems with uncertain demand
Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction
Designing a sustainable-resilient disaster waste management system under hybrid uncertainty: A case study
Fuzzy fractional order force control of 6PUS-UPU redundantly actuated parallel robot based on inner model position control structure
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction
Machine learning-driven crystal system prediction for perovskites using augmented XRD data
What makes consumers unsatisfied with your products: Review analysis at a fine-grained level
A structure-aware routing based anomaly detection for industrial multi-sensor time series
Age, gender and handedness prediction using handwritten text: A comprehensive survey
Cyclic constrained attention-guided stacking with twin delayed deep deterministic optimization for oceanic wind direction prediction
Situation-aware deep reinforcement learning for unmanned aerial vehicle swarm navigation in dynamic multi-obstacle environments
Framework for traffic event detection using Shapelet Transform
An efficient fusion-based deep learning framework for land use and land cover image clustering
Precision agriculture based on convolutional neural network in rice production nutrient management using machine learning genetic algorithm
Towards Explainable Artificial Intelligence in Machine Learning: A study on efficient Perturbation-Based Explanations
Non trust detection of decentralized federated learning based on historical gradient
Two-stage approach for COVID-19 vaccine supply chain network under uncertainty using the machine learning algorithms: A case study
A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems
Bubble detection in photoresist with small samples based on GAN augmentations and modified YOLO
Physics-informed cross layer temporal frequency transformer network for remaining useful life prediction of rolling bearings
Multi-robot collaborative obstacle avoidance based on hierarchical path planning methods
Uncertainty-aware credit card fraud detection using deep learning
More Quickly-RRT*: Improved Quick Rapidly-exploring Random Tree Star algorithm based on optimized sampling point with better initial solution and convergence rate
Dense synergistic attention network: An effective CNN model for communication facilities image classification
Enhanced unsupervised domain adaptation through joint constrained classifier and feature learning
Using machine learning to detect and localize concealed objects in passive millimeter-wave images
Real/binary-like coded versus binary coded genetic algorithms to automatically generate fuzzy knowledge bases: a comparative study
Confidence estimation of feedback information for logicdiagnosis
Multi-modality complementary learning network with cross-modality interaction and adaptive fusion for face forgery detection
A topology-aware segment anything model for domain-invariant crack segmentation
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces
Novel intuitionistic fuzzy decision making method based on an improved operation laws and its application
Constrained multi-objective optimization assisted by convergence and diversity auxiliary tasks
Multi-view Deep Embedded Clustering: Exploring a new dimension of air pollution
The moderating effect of income and training on design engineers' adoption of artificial intelligence: An extended unified theory of acceptance and use of technology approach