yusuke1997/dblp-id-title huggingface dataset:
Multi-criteria assignment policies to improve global effectiveness of medico-social service sector
Fast stereo conformer: Real-time stereo matching with enhanced feature fusion for autonomous driving
Unsupervised fault diagnosis and novel fault recognition for rotating machinery based on enhanced clustered autoencoder
A global and local agent-based curriculum reinforcement learning approach for multi-end-effector robotic arm manipulation
DiffAT: Effective data augmentation with diffusion models for time series forecasting
Dynamic health prediction of plain reservoirs based on deep learning algorithms
Utilizing optical neural network to establish high-performance OR and XOR logic gates
Instance segmentation of biological images using graph convolutional network
Dynamic heuristic phased Double Deep Q Network path planning algorithm based on Gaussian mixture regression in discrete traffic environment
Three-dimensional geometric deep learning for reaction prediction with equivariant graph transformer
DFP-Net: An unsupervised dual-branch frequency-domain processing framework for single image dehazing
Controlling highway toll stations using deep learning, queuing theory, and differential evolution
Diverse features discovery transformer for pedestrian attribute recognition
Fuzzified Gabor filter for license plate detection
Dynamic facial expression recognition based on spatial key-points optimized region feature fusion and temporal self-attention
Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data
A novel deep learning pipeline for coronary artery analysis in X-ray angiography
A collaborative behavior-based approach for handling ambiguity, uncertainty, and vagueness in robot natural language interfaces
Hierarchical pyramid attentive network with spatial separable convolution for crowd counting
PCA: Progressive class-wise attention for skin lesions diagnosis
Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming
Particle swarm optimization with increasing topology connectivity
A comprehensive review of unmanned aerial vehicle-based thermal imaging and deep learning for PV power plant anomaly detection and performance assessment
Multi-regularized tensor-based framework for identifying hard landings
Capturing waste collection planning expert knowledge in a fitness function through preference learning
Two-rank multi-attribute group decision-making with linguistic distribution assessments: An optimization-based integrated approach
A multi-objective gradient optimizer approach-based weighted multi-view clustering
ASOD: Arbitrary shape object detection
Integrating artificial intelligence and optimization tools in bed assignment to enhance patient satisfaction under uncertainty
Performance evaluation of uranium enrichment cascades using fuzzy based harmony search algorithm
Deep learning for image colorization: Current and future prospects
A Deep Hybrid Model for Recommendation by jointly leveraging ratings, reviews and metadata information
Event-triggered fractional-order fuzzy sliding mode control using online reinforcement learning for uncertain nonlinear systems: Practical validation
Depth-first random forests with improved Grassberger entropy for small object detection
A method for extracting emotion-cause pairs based on bidirectional machine reading comprehension
Seismic damage states prediction of in-service bridges using feature-enhanced swin transformer without reliance on damage indicators
A novel failure mode and effect analysis method with spherical fuzzy entropy and spherical fuzzy weight correlation coefficient
Enhancing multi-physics modelling with deep learning: Predicting permeability through structural discontinuities
On the monitoring task of solar thermal fluid transfer systems using NN based models and rule based techniques
Research on adaptive prediction model of rate of penetration under dynamic formation conditions
Dynamic background reconstruction via masked autoencoders for infrared small target detection
Estimating the penetration rate of tunnel boring machines via gradient boosting algorithms
Dynamic viscosity prediction using artificial intelligence for an antifreeze containing MWCNT-alumina hybrid nanopowders
Artificial bee colony algorithm for small signal model parameter extraction of MESFET
CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning
Reinforcement learning-based trajectory tracking optimal control for underactuated unmanned surface vehicles under asymmetric input saturation
Deep learning in forensic Analysis: Optical coherence tomography image classification in methamphetamine detection
Lane change trajectory planning based on improved model predictive control with artificial potential field for autonomous vehicles in medium-high speed scenarios
Hydrogen prediction in poultry litter gasification process based on hybrid data-driven deep learning with multilevel factorial design and process simulation: A surrogate model
Layered and scalable image coding with semantic features for human and machine
Ensemble methods with feature selection and data balancing for improved code smells classification performance
Dual-branch network for change detection of remote sensing image
Predictive models of human supervisory control behavioral patterns using hidden semi-Markov models
Integrated learning framework for multistep pick-place-arrange of arbitrarily shaped objects in a narrow crate
Picture fuzzy reasoning full implication method and its application
Multi-agent trajectory prediction with Hierarchical Coordinate-Based Representation
An improved traffic coordination control integrating traffic flow prediction and optimization
Hierarchical deep learning-based adaptive time stepping scheme for multiscale simulations
Secured communication using efficient artificial neural synchronization
Promoting sustainability-oriented brand activist campaigns: A spherical fuzzy decision support framework for evaluating activist advertising videos
Machine learning-optimized stochastic Voronoi lattices for enhanced mechanical performance
Multiscale wavelet-based spatial-spectral compression network for hyperspectral image
Towards improved human arm movement analysis: Advanced feature engineering and model optimization
A geometric model with stochastic error for abnormal motion detection of portal crane bucket grab
An immunity approach to strategic behavioral control
GAN-based sensor data augmentation: Application for counting moving people and detecting directions using PIR sensors
Accuracy improvement of temperature measurement using a wide-spectrum visible camera based on deep learning network denoising
Robust point cloud registration using Hough voting-based correspondence outlier rejection
Minimizing makespan in a Flow Shop Sequence Dependent Group Scheduling problem with blocking constraint
Persuading agents to act in the right way: An incentive-based approach
Fictitious play for cooperative action selection in robot teams
Active contour model based on local Kullback-Leibler divergence for fast image segmentation
An adaptive graph neural network-based intrusion detection system for airborne network
Evidential framework for data fusion in a multi-sensor surveillance system
Sensor Defense In-Software (SDI): Practical software based detection of spoofing attacks on position sensors
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data
Tuberculosis and pneumonia diagnosis in chest X-rays by large adaptive filter and aligning normalized network with report-guided multi-level alignment
A hybrid particle swarm optimization for the selective pickup and delivery problem with transfers
An improved hierarchical fuzzy TOPSIS approach to identify endangered earthquake-induced buildings
Ranking of advertising goals on social network sites by Pythagorean fuzzy hierarchical decision making: Facebook
Reinforcement learning-based optimization for freeze-dried fruit production scheduling under time-of-use electricity tariffs
Artificial neural network based autoregressive modeling technique with application in voice activity detection
Harnessing high-quality pseudo-labels for robust few-shot nested named entity recognition
An efficient anchor-free model for ore particle size detection
Multiobjective evolutionary algorithm based wrapper approach for hyperspectral band selection
Yin-Yang-pair Optimization: A novel lightweight optimization algorithm
Latent domain knowledge distillation for nighttime semantic segmentation
Self-adjusting multidisciplinary design of hydraulic engine mount using bond graphs and inductive genetic programming
Data mining for agent reasoning: A synergy for training intelligent agents
Application of reinforcement learning to medium access control for wireless sensor networks
A robust graph attention network with dynamic adjusted graph
Fast on-line signature recognition based on VQ with time modeling
Lightweight railroad semantic segmentation network and distance estimation for railroad Unmanned aerial vehicle images
Physics descriptors enhanced Bayesian learning method for permeability of random media under sparse data
Concept-based indexing of annotated images using semantic DNA
Self-adaptive production scheduling for discrete manufacturing workshop using multi-agent cyber physical system
Analysing sustainable industrial wastewater treatment technologies using circular Fermatean fuzzy multi-attribute group decision making with decision experts' confidence levels
Corrosion classification through deep learning of electrochemical noise time-frequency transient information
Online hashing with partially known labels for cross-modal retrieval
Selection of healthcare waste management treatment using fuzzy rough numbers and Aczel-Alsina Function
Pairnorm based Graphical Convolution Network for zero-shot multi-label classification
Acoustic based leak location detection for water supply pipelines in urban areas via multi-task deep learning
An implementing framework for holonic manufacturing control with multiple robot-vision stations
A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting
Robust attention transfer neural networks for diagnosis of Alzheimer's disease from structural magnetic resonance images
Transformer-based models for intrapulse modulation recognition of radar waveforms
A stochastic learning-from-data approach to the history-matching problem
Software maintainability prediction based on change metric using neural network models
HDKD: Hybrid data-efficient knowledge distillation network for medical image classification
Construct a robust least squares support vector machine based on L p -norm and L ∞ -norm
Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks
Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images
Robust-stable quadratic-optimal fuzzy-PDC controllers for systems with parametric uncertainties: A PSO based approach
A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer
Multiobjective controller design handling human preferences
Application of CHMMs to two-phase flow pattern identification
Learning-centered multi-modal federated learning complimented with filter rotation for clinical image diagnosis
Identifying valid search engine ranking factors in a Web 2.0 and Web 3.0 context for building efficient SEO mechanisms
A Fine Rendering High-Resolution Makeup Transfer network via inversion-editing strategy
A neural network guided dual-space search evolutionary algorithm for large scale multi-objective optimization
Analog circuit topology synthesis by means of evolutionary computation
Event-based online learning control design with eligibility trace for discrete-time unknown nonlinear systems
Adaptive prompt guided unified image restoration with latent diffusion model
Keypoint-guided feature enhancement and alignment for cross-resolution vehicle re-identification
Variational learning to rank for Test Case Prioritization via prioritizing metric inspired differentiable loss
Erasable pattern mining based on tree structures with damped window over data streams
A physical information guided method for bridge underwater crack detection based on two-stage pre-training learning with scarce samples
A novel multi-criteria group decision making algorithm for enhancing supply chain efficiency under high uncertainty during crisis based on q-rung orthopair fuzzy information
Picking point localization method of table grape picking robot based on you only look once version 8 nano
Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks
Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks
Employing dual-path structure and soft attention mechanism to enhance recognition and classification of wild medicinal licorice in Xinjiang
Window-based transformer generative adversarial network for autonomous underwater image enhancement
Truth-value unconstrained face clustering for identity resolution in a distributed environment of criminal police information systems
Hypergraph induced semi-supervised orthogonal nonnegative matrix factorization with label and constraint propagation
Using cost-aware transitions for reorganizing multiagent systems
Comparative learning based stance agreement detection framework for multi-target stance detection
Brain tissue classification method for clinical decision-support systems
Lightweight hybrid model based on MobileNet-v2 and Vision Transformer for human-robot interaction
A 3D-RRT-star algorithm for optimizing constrained mountain railway alignments
Fast just-in-time-learning recursive multi-output LSSVR for quality prediction and control of multivariable dynamic systems
Non-stationary Gaussian process regression applied in validation of vehicle dynamics models
Driver vigilance detection based on deep learning with fused thermal image information for public transportation
State of the art: Application of machine learning in ground motion modeling
IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications
MulKD: Multi-layer Knowledge Distillation via collaborative learning
Application of cascade and fuzzy logic based control in a model of a fuel-cell hybrid tramway
Dilated-Windows-based Vision Transformer with Efficient-Suppressive-self-attention for insect pests classification
Advancing electric vehicle inverter multi-class transient fault detection with sequential binary classification techniques
Exponential neutrosophic programming contrivance in multiple criteria for type-2 uncertain multi-objective transportation problem
A fuzzy convolutional attention-based GRU network for human activity recognition
Fuzzy logic-based routing and wavelength assignment with traffic prediction for optical network-on-chip
Multi-variable false data injection attack detection and classification in solar photovoltaic grids with ensemble learning
Graph-enhanced ensembles of multi-scale structure perception deep architecture for fetal ultrasound plane recognition
Photo realistic synthetic dataset and multi-scale attention dehazing network
What is behind the curtain? Increasing transparency in reinforcement learning with human preferences and explanations
Chaotic differential evolution methods for dynamic economic dispatch with valve-point effects
Hybrid deep learning model to predict the ultimate tensile strength of friction stir welded joints
Decision tree and first-principles model-based approach for reactor runaway analysis and forecasting
Fault diagnosis of power-shift system in continuously variable transmission tractors based on improved echo state network
Enhancing primitive segmentation through transformer-based cross-task interaction
A high-precision Acupoint recognition and localization model for acupuncture robot end-effectors
Condensed representations of changes in dynamic graphs through emerging subgraph mining
SAMGCN: A spatially-augmented multi-view graph convolutional network for identifying spatial domains
Causal knowledge modulated temporal generative adversarial network for carbon emissions forecasting
Adaptive three-layered convolution neural network and eXtreme gradient Boost for brain tumor prediction and segmentation in brain images
Job Shop Scheduling with the Best-so-far ABC
MSRConvNet: Classification of railway track defects using multi-scale residual convolutional neural network
Unlocking few-shot wind speed prediction through a novel end-to-end transfer learning paradigm based on decomposition and gating information fusion
Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives
A study in enhancement of satellite images
From cyclic degradation to risk mitigation: A deep learning framework for lifecycle reliability management of reservoir landslides
Class-specific feature selection using fuzzy information-theoretic metrics
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation
A new optimization algorithm based on chaotic maps and golden section search method
An innovative feature clustering paradigm based on Hypergraph cooperative graph convolutional network for hyperspectral image classification
Fuzzy conditional temporal problems: Strong and weak consistency
DRNet: Dual-stage refinement network with boundary inference for RGB-D semantic segmentation of indoor scenes
Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems
Computer vision for package tracking on omnidirectional wheeled conveyor: Case study
DFSGAN: Introducing editable and representative attributes for few-shot image generation
Regulated Kalman filter based training of an interval type-2 fuzzy system and its evaluation
Solving the energy-efficient Robotic Mixed-Model Assembly Line balancing problem using a Memory-Based Cuckoo Search Algorithm
Review of physics-informed neural networks in hemodynamics
Analysis of the influence of international benchmark oil price on China's real exchange rate forecasting
Deep residual network guided by channel multi-scale attention mechanism for predicting free-field sound absorption performance
Memory guided representation learning for cross-domain face anti-spoofing
A new situation assessment method for aerial targets based on linguistic fuzzy sets and trapezium clouds
Defect detection in fused deposition modelling using lightweight convolutional neural networks
An adaptive matching control method of multiple turboshaft engines
Spatio-Temporal Channel Attention and Membrane Potential Modulation for Efficient Spiking neural network
Two algorithms for generating structured and unstructured monotone ordinal data sets
A fuzzy reasoning design for fault detection and diagnosis of a computer-controlled system
A nonlinear spatiotemporal modeling method combined with t-distributed stochastic neighbor embedding and broad learning system for the lithium-ion battery thermal process
Multisensor fault diagnosis via Markov chain and Evidence theory
Hybrid filter-wrapper feature selection for short-term load forecasting
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
International roughness index prediction based on research institute of highway ministry of transport track data using multiple relation graphs and temporal graph attention network
DRL-ED: A deep reinforcement learning with encoder-decoder method for traffic flow prediction
Identifying emerging smells in software designs based on predicting package dependencies
PDFusion: A domain-adaptive incremental learning model based on Physical-Data Fusion for lithium-ion battery state estimation
An evolutionary algorithm to optimize the microphone array configuration for speech acquisition in vehicles
A virtual grouping based fault-tolerant scheme for autonomous networks
Underwater self-supervised monocular depth estimation and its application in image enhancement
An improved heterogeneous graph convolutional network for job recommendation
MDGRL: Multi-dimensional graph rule learning
Artificial intelligence in single screw polymer extrusion: Learning from computational data
Value-based reinforcement learning approaches for task offloading in Delay Constrained Vehicular Edge Computing
Electroencephalogram-based floor vibration serviceability evaluation using convolutional neural network and ensemble learning
Predicting optical parameters of nanostructured optical fibers using machine learning algorithms
Multi-head sequence tagging model for Grammatical Error Correction
An ontology-based fuzzy decision support system for multiple sclerosis
A novel mathematical model and a hybrid grouping evolution strategy algorithm for an automated last mile delivery system considering wind effect
Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding
Design of a modified large language model for semantic communication in sixth-generation wireless networks
Modelling of a multi-drone framework for trajectory prediction and deep reinforcement learning-based obstacle classification in dynamic environments
Distributed Kalman filtering for cascaded systems
C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples
A semantic model for actions and events in ambient intelligence
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform
Mutual risk prompt learning with multi-objective optimization for collaborative tumor and peritumor segmentation
Structural reliability analysis based on neural networks with physics-informed training samples
Parking demand forecasting based on improved complete ensemble empirical mode decomposition and GRU model
Lightweight network based features fusion for steel rolling ambient sound classification
Clustered genetic search in continuous landscape exploration
Heuristic design of fuzzy inference systems: A review of three decades of research
Point cloud-based intelligent collision avoidance for stacker cranes in stereoscopic warehouses
Multi-camera joint spatial self-organization for intelligent interconnection surveillance
A comprehensive survey on 2D multi-person pose estimation methods
InterpolationSLAM: An effective visual SLAM system based on interpolation network
Problem formulation in inventive design using Doc2vec and Cosine Similarity as Artificial Intelligence methods and Scientific Papers
Emotional, affective and biometrical states analytics of a built environment
Fractional-order cuckoo search algorithm for parameter identification of the fractional-order chaotic, chaotic with noise and hyper-chaotic financial systems
Semi-supervised few-shot class-incremental learning based on dynamic topology evolution
A mathematical model and a memetic algorithm for berth allocation at inland waterway terminals in developing countries
A nonlinear solver based on residual network for seepage equation
Online adaptive motion model-based target tracking using local search algorithm
AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection
GTRF: A general deep learning framework for tuples recognition towards supervised, semi-supervised and unsupervised paradigms
A rough set-based fault ranking prototype system for fault diagnosis
Optimizing message queuing telemetry transport broker load balancing and fault tolerance in internet of things with a greedy genetic algorithm
Direct adaptive interval type-2 fuzzy control of multivariable nonlinear systems
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification
Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance