yusuke1997/dblp-id-title huggingface dataset:
Atrous residual interconnected encoder to attention decoder framework for vertebrae segmentation via 3D volumetric CT images
A 3D-enhanced occlusion-aware correlation filter for assembly quality inspection in confined spaces
MSRA-G: Combination of multi-scale residual attention network and generative adversarial networks for hyperspectral image classification
Goal-oriented graph generation for transmission expansion planning
Sparse robust adaptive unsupervised subspace learning for dimensionality reduction
Transformers in pathological image analysis: A survey
Predicting rapid impact compaction of soil using a parallel transformer and long short-term memory architecture for sequential soil profile encoding
EPT: A data-driven transformer model for earthquake prediction
Supervised word sense disambiguation using semantic diffusion kernel
Alpha evolution: An efficient evolutionary algorithm with evolution path adaptation and matrix generation
Integration of ROV and vision-based underwater inspection for Limnoperna fortunei in water conveyance structure
Agent-based distributed architecture for mobile robot control
Feature redundancy assessment framework for subject matter experts
Expert system for an INS/DGPS integrated navigator installed in a Bell 206 helicopter
Mastering autonomous assembly in fusion application with learning-by-doing: A peg-in-hole study
Adaptive spatial-temporal graph attention network for real-time traffic forecasting
Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images
Floating object detection using double-labelled domain generalization
Frequency domain nuances guided parallel transformer model for industrial anomaly localization
Reinforcement learning with formal performance metrics for quadcopter attitude control under non-nominal contexts
Blind sonar image quality assessment via machine learning: Leveraging micro- and macro-scale texture and contour features in the wavelet domain
Neural networks for estimating surface solar irradiation from satellite images
Semantic labeling of social big media using distributed online robust classification
Degression receptive field network for image inpainting
Three-partition coevolutionary differential evolution algorithm for mixed-variable optimization problems
Time series long-term forecasting model based on information granules and fuzzy clustering
A novel clustering based method for characterizing household electricity consumption profiles
Deep sequence to sequence semantic embedding with attention for entity linking in context of incomplete linked data
Leveraging deep reinforcement learning to optimize linear quadratic regulator parameters for leader-follower formation control
DeepURLGuard: A comprehensive bidirectional recurrent neural network for multiclass malicious uniform resource locator classification with advanced features and explainability
Reconstruction of hydrofoil cavitation flow based on the chain-style physics-informed neural network
Boosting meta-training with base class information for robust few-shot learning
An adaptive dynamic multi-swarm particle swarm optimization with stagnation detection and spatial exclusion for solving continuous optimization problems
Flange bolt loosening detection using an improved you only look once version 8 method and angle estimation
Co-saliency detection with two-stage co-attention mining and individual calibration
An optimal initialisation for robust model reference adaptive PI controller for grid-tied power systems under unbalanced grid conditions
Accelerating decentralized reinforcement learning of complex individual behaviors
Approximation spaces in off-policy Monte Carlo learning
Adaptive fuzzy weighted C-mean image segmentation algorithm combining a new distance metric and prior entropy
Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control
Matching quality-guided model-free satellite pose estimation
Schema-free information extraction method based on dynamic structure generation from text content
Multi-kernel Support Vector Data Description with boundary information
Case-base maintenance by conceptual clustering of graphs
Balanced sample repository for knowledge distillation in data-free image classification scenario
Adversarial environment design for crowd navigation based on deep reinforcement learning
Intelligent residual gas fraction prediction in a fuel flexible RCCI engine using physics augmented Gaussian process regression model
A fuzzy multi-criteria decision-making approach for public projects-bidders matching under heterogeneous information
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection
MMH-Net: A novel multi-modal hybrid learning network for accurate mass estimation of acoustic levitated objects
Detecting tables in Web documents
Hesitant hierarchical T-S fuzzy system with fuzzily weighted recursive least square
An intelligent IoT intrusion detection system using HeInit-WGAN and SSO-BNMCNN based multivariate feature analysis
Buffer-text: Detecting arbitrary shaped text in natural scene image
Strength-based learning classifier systems revisited: Effective rule evolution in supervised classification tasks
Research on multi-step prediction of wind speed under mixed intense wind climate in mountainous areas: focusing on cooling windstorms
Human fall detection using pose estimation: From traditional machine learning to vision transformers
Explainable evaluation of generative adversarial networks for wearables data augmentation
iDCR : Improved Dempster Combination Rule for multisensor fault diagnosis
A deep reinforcement learning approach to energy management control with connected information for hybrid electric vehicles
A Lightweight Vision Mamba Coding UNet for medical image segmentation
Prediction of surface reflectance using a deep learning model trained on synthetic surface images
Leveraging foreground-background cues for semantically-driven, training-free moving object detection
A spatial-temporal contexts network for object tracking
Learning dynamic regression with automatic distractor repression for real-time UAV tracking
Driver distraction detection using semi-supervised lightweight vision transformer
Optimization and defect identification using distributed evolutionary algorithms
Data-driven disc cutter wear prediction for shield tunneling in complex strata: model comparison and interpretation
Capacitated spatial clustering with multiple constraints and attributes
A novel general approach to evaluating the reliability of gas turbine system
Artificial intelligence-driven models for predicting mechanical properties of low-emission microwave-cured geopolymer mortar
Whispered speech recognition using deep denoising autoencoder
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization
PLDs-CNN-ridge-ELM: Interpretable lightweight waste classification framework
Efficient surrogate-based optimization framework integrating physics-informed neural networks, deep active learning and deep reinforcement learning: Multilayer thin films case study
A fractal belief KL divergence for decision fusion
Imitation learning with spiking neural networks and real-world devices
Dual Cross-Attention for medical image segmentation
Dynamical multiple polynomial-based neural networks classifier realized with the aid of dropfilter and dual statistical selection
Spiking neural networks with uncertainty model of stochastic sampling for circuit yield enhancement
An expert system for predicting orchard yield and fruit quality and its impact on the Persian lime supply chain
QFTD: An efficient quantum federated learning for transformer fault diagnosis with minimal gated unit in smart grid
Combination prediction of underground mine rock drilling time based on seasonal and trend decomposition using Loess
Puzzle based system for improving Arabic handwriting recognition
Enhancing OCR with line segmentation mask for container text recognition in container terminal
ConvPatchTrans: A script identification network with global and local semantics deeply integrated
GRAVITAS: A model checking based planning and goal reasoning framework for autonomous systems
Single and multi-graph orchestration in recommendation systems: A systematic literature review
Daily solar radiation estimation in Belleville station, Illinois, using ensemble artificial intelligence approaches
Performance-based data-driven optimal tracking control of shape memory alloy actuated manipulator through reinforcement learning
Robust medical image segmentation using particle swarm optimization aided level set based global fitting energy active contour approach
Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction
Predicting secondary school student performance using a double particle swarm optimization-based categorical boosting model
Beyond the limits of parametric design: Latent space exploration strategy enabling ultra-broadband acoustic metamaterials
Integrated machine learning approach for final weight prediction in stimuli-responsive four-dimensional printed single-layer elastomer strip
Graph convolutional network reconstruction with high-order node information for community detection
A lattice-based approach for chemical structural retrieval
Risk identification of listed companies violation by integrating knowledge graph and multi-source risk factors
An adaptive hybrid machine reading comprehension framework for multimodal emotion-cause pair extraction in conversations
Optimization of Built-In Self-Test test chain configuration in 2.5D Integrated Circuits Using Constrained Multi-Objective Evolutionary Algorithm
Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization
MiFDeU: Multi-information fusion network based on dual-encoder for pelvic bones segmentation
Corrigendum to "Image contrast enhancement for preserving mean brightness without losing image features" [Eng. Appl. Artif. Intell. 32(5) (2013) 1487-1492]
Improved decision tree construction based on attribute selection and data sampling for fault diagnosis in rotating machines
CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries
An improved genetic algorithm based deep learning model with you only look once framework for driver distraction detection
Coconut germination precise prediction via multimodal fusion with Co-attention networks: A non-destructive precision agriculture and food engineering solution
Semantic variance: An intuitive measure for ontology accuracy evaluation
Relevant based structure learning for feature selection
A new genetic algorithm for solving optimization problems
A recursive multi-head self-attention learning for acoustic-based gear fault diagnosis in real-industrial noise condition
A hybrid topology scale-free Gaussian-dynamic particle swarm optimization algorithm applied to real power loss minimization
Robust control of a planar snake robot based on interval type-2 Takagi-Sugeno fuzzy control using genetic algorithm
Multi-criteria consensus sorting model with flexible linguistic preferences based on fuzzy information granulation from the perspective of preference disaggregation
Neuro-fuzzy tracking control of discrete-time nonlinear systems under Linear Matrix Inequality region constraints
Competitive Optimality: A novel application in evaluating practical AI Systems
Learning under concept drift and non-stationary noise: Introduction of the concept of persistence
Remaining useful life prediction across machines using multi-source adversarial online knowledge distillation
A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges
Non-parametric modelling of a rectangular flexible plate structure
A comparative neural networks and neuro-fuzzy based REBA methodology in ergonomic risk assessment: An application for service workers
Hybrid Dynamic Bayesian network method for performance analysis of safety barriers considering multi-maintenance strategies
New global optimization algorithms based on multi-loop distributed control systems with serial structure and ring structure for solving global optimization problems
Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning
GGSA: A Grouping Gravitational Search Algorithm for data clustering
A two stage risk assessment model based on interval-valued fuzzy numbers and risk attitudes
Identification and optimization of material constitutive equations using genetic algorithms
Reinforcement learning based robot navigation using illegal actions for autonomous docking of surface vehicles in unknown environments
Hybrid Grid Search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes
Deep transfer learning-based time-varying model for deformation monitoring of high earth-rock dams
Few-shot learning for image-based bridge damage detection
Enhancing precision tomato harvesting with feature sharing and intersection screening
Smart farming using artificial intelligence: A review
Positive discrimination of minority classes through data generation and distribution: A case study in olive disease classification
An efficient deep learning strategy for real-time semantic segmentation of trees for embedded systems
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
A lightweight algorithm for wildlife detection in outdoor environments based on you only look once version 8 network
The fusion of multispectral palmprints using the information set based features and classifier
A lightweight vehicles detection network model based on YOLOv5
Pseudo-central feature matching: An adaptive semisupervised fault diagnosis method for knowledge transfer under variable working conditions
A MapReduce implementation of posterior probability clustering and relevance models for recommendation
Feature-based deep neural network approach for predicting mortality risk in patients with COVID-19
Improvement of Performance in Freezing of Gait detection in Parkinson's Disease using Transformer networks and a single waist-worn triaxial accelerometer
Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA
Dynamic thresholding search for minimum vertex cover in massive sparse graphs
Enhancing occupational safety in Construction: Predictive analytics using advanced ensemble machine learning algorithms
Distributed task offloading in edge computing: A multi-objective adaptive deep reinforcement learning algorithm
Active learning of driving scenario trajectories
Graph neural networks informed locally by thermodynamics
Online robot guidance and navigation in non-stationary environment with hybrid Hierarchical Reinforcement Learning
An active and incremental learning framework for the online prediction of link quality in robot networks
Enhancing Real-Time Detection Transformer for small floating targets
Enhancing small satellite image resolution via shrinking rearranged mechanism and multiscale reparameterized attention
TSadv: Black-box adversarial attack on time series with local perturbations
Semantic analysis of web documents for the generation of optimal content
SLAM; definition and evolution
Tasks for agent-based negotiation teams: Analysis, review, and challenges
Fault prototype weighted guided multi-level dynamic alignment network for partial set domain adaptation fault diagnosis
Novel three-way decision model in medical diagnosis based on inexact reasoning
CRPointFeatureNet: A cross-resolution point cloud feature network for part machining feature classification
Rapid gyroscope calibration: A deep learning approach
A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem
A hybrid multi-start metaheuristic scheduler for astronomical observations
Inverse design of particle shapes with target sphericity and packing fraction using variational autoencoders
Temporal stability and non-unique solution of reacting Eyring Powell flows over shrinking wedges using neural networks
An enhanced memetic algorithm with hierarchical heuristic neighborhood search for type-2 green fuzzy flexible job shop scheduling
Safe energy savings through context-aware hot water demand prediction
Unveiling group activity recognition: Leveraging Local-Global Context-Aware Graph Reasoning for enhanced actor-scene interactions
Fire flame detection in video sequences using multi-stage pattern recognition techniques
A hybrid quantum particle swarm optimization for the Multidimensional Knapsack Problem
DPMF-Net: A dual-path perceptive multi-stage fusion network for skin lesion segmentation
Interactive diagnosis for a grid network of rain gauges using fuzzy reasoning
DCMA-Net: A dual channel multi-scale feature attention network for crack image segmentation
A stochastic dynamic programming approach for the machine replacement problem
Fine-tuning language model embeddings to reveal domain knowledge: An explainable artificial intelligence perspective on medical decision making
Lightweight defect detection network based on steel strip raw images
Learning on robot skills: Motion adjustment and smooth concatenation of motion blocks
MLP-based isolated phoneme classification using likelihood features extracted from reconstructed phase space
Controller design for time-delay systems using genetic algorithms
Enhancing multimodal emotion recognition with dynamic fuzzy membership and attention fusion
The multi-tag semantic correlation used for micro-blog user interest modeling
TFG-Net: Tropical Cyclone Intensity Estimation from a Fine-grained perspective with the Graph convolution neural network
Gray-box dynamic model for wave glider driven by a hybrid of deep learning and physics-based models
Evolving Marine Predators Algorithm by dynamic foraging strategy for real-world engineering optimization problems
Intelligent control of district heating system based on RDPG
Posture stability control of a beaver-like bipedal robot based on the deep interactive twin delayed deep deterministic policy gradient algorithm
Self-training convolutional autoencoder for consumer characteristics identification with imbalance datasets
Container stacking optimization based on Deep Reinforcement Learning
A transformer-based approach for source code classification for heterogeneous device mapping
A deep learning ensemble approach for malware detection in Internet of Things utilizing Explainable Artificial Intelligence
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
Motion control strategy for robotic arm with deep cascade feature Bayesian broad learning system
Privacy-preserving federated learning compatible with robust aggregators
Software development effort prediction using a hybrid of LeNet and Shepard convolutional neural networks
Optimizing robotic sensors in dynamic Industry 4.0 environments under a complex hesitant fuzzy soft model
A multidimensional Bayesian architecture for real-time anomaly detection and recovery in mobile robot sensory systems
Intelligent optimization: Literature review and state-of-the-art algorithms (1965-2022)
Real-time segmentation network for accurate weld detection in large weldments
Road map partitioning for routing by using a micro steady state evolutionary algorithm
Enhanced tensor multi-view clustering via dual constraints
Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO
Projective quasi-synchronization of complex-valued recurrent neural networks with proportional delay and mismatched parameters via matrix measure approach
Goal-CurveNet: A pedestrian trajectory prediction network using heterogeneous graph attention goal prediction and curve fitting
Prediction intervals to account for uncertainties in neural network predictions: Methodology and application in bus travel time prediction
A novel approach for comparing web sites by using MicroGenres
A prompting multi-task learning-based veracity dissemination consistency reasoning augmentation for few-shot fake news detection
A multivariable sensor-agnostic framework for spatio-temporal air quality forecasting based on Deep Learning
Load forecasting model considering dynamic coupling relationships using structured dynamic-inner latent variables and broad learning system
A novel multiobjective optimization algorithm based on bacterial chemotaxis
Robust self-supervised monocular visual odometry based on prediction-update pose estimation network
A literature review of fault diagnosis based on ensemble learning
Novel framework based on ensemble classification and secure feature extraction for COVID-19 critical health prediction
High-resolution network for static infrared weak and small targets detection
Land use and land cover change detection from multisource satellite imagery - A hybrid convolutional neural network approach
Local-global lightweight ViT model for mini/micro-LED-chip defect recognition
Ship re-identification in foggy weather: A two-branch network with dynamic feature enhancement and dual attention
Reliable blood supply chain network design with facility disruption: A real-world application
An Inverted Ant Colony Optimization approach to traffic
Multiobjective great deluge algorithm with two-stage archive support
Online multi-object tracking method for shrimps in high density using multi-task you only look once exceeding and cascade strategy
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN
PVF-DectNet: Multi-modal 3D detection network based on Perspective-Voxel fusion
A topic joint model for knowledge extraction from unstructured maintenance records
Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process
Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue
Student behavior in a web-based educational system: Exit intent prediction
A general graph learning based framework for job offer recommender system
Graph Regularized Nonnegative Matrix Factorization with Sample Diversity for Image Representation
Agile combination of advanced booking models for short-term railway arrival forecasting
Fault diagnosis model based on Granular Computing and Echo State Network
Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety
A novel two-stage TOPSIS approach based on interval-valued probabilistic linguistic q-rung orthopair fuzzy sets with its application to MAGDM problems
Generative self-supervised learning for seismic event classification
Standalone and Hybrid machine learning approaches to predict sediment load in an alluvial channel
Inverse structural design with generative and probabilistic autoencoders and diffusion models
A lightweight neural network search algorithm based on in-place distillation and performance prediction for hardware-aware optimization
Adaptive intelligent hydro turbine speed identification with water and random load disturbances
A novel bearing intelligent fault diagnosis method based on spectrum sparse deep deconvolution
A decision tree model for the prediction of the stay time of ships in Brazilian ports
A quality index for construction big data in shield tunneling
Multi-modal multi-level feature representation learning for flow pattern identification of oil-water two-phase flow
Broiler health monitoring technology based on sound features and random forest
A lightweight and efficient model for photovoltaic panel defect detection in complex environments
Advanced generic neighborhood heuristics for VNS
Feature pre-inpainting enhanced transformer for video inpainting
A neural network-based preset generation tool for a steel tandem cold mill
Contextual reinforcement learning for market making via multi-task self-supervised learning