yusuke1997/dblp-id-title huggingface dataset:
RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation
Fusion particle and fingerprint recognition for indoor positioning system on mobile
Enabling temporal-spectral decoding in multi-class single-side upper limb classification
Tracking in tracking: An efficient method to solve the tracking distortion
Audio separation and classification of Indian classical instruments
Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network
Exploration of deep learning models for localizing bare-hand in the practical environment
An ELM based predictive control method for HCCI engines
Simulation techniques: An effective way for solving decision-making problems
Sparse mixed attention aggregation network for multimodal images fusion tracking
Long term learning in image retrieval systems using case based reasoning
Multi-angle feature enhancement for multi-defect category insulator defect detection in the wild
QoS multicast routing using a quantum-behaved particle swarm optimization algorithm
Reinforcement learning for pricing strategy optimization in the insurance industry
MLOps in freight rail operations
A trustworthy and explainable deep learning framework for skin lesion detection in smart dermatology
B-SMART: A reference architecture for artificially intelligent autonomic smart buildings
Hybridization in nature inspired algorithms as an approach for problems with multiple goals: An application on reliability-redundancy allocation problems
Thick gradual sets and their computations: Application for determining the uncertain zone explored by an underwater robot
A physics informed convolution neural network for spatiotemporal temperature analysis of concrete dams
Collective robotic search using hybrid techniques: Fuzzy logic and swarm intelligence inspired by nature
Instantaneous power prediction for industrial robots using tree-based machine learning methods
A novel spatial-temporal graph convolution network based on temporal embedding graph structure learning for multivariate time series prediction
Hydraulic turbine governing system identification using T-S fuzzy model optimized by chaotic gravitational search algorithm
Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method
A novel feature engineering approach for high-frequency financial data
Information complementary attention-based multidimension feature learning for person re-identification
A deep-supervised framework utilizing edge features and global texture features for distortion rectification in fisheye images
Fine-grained Image Recognition via Attention Interaction and Counterfactual Attention Network
Computer vision-based framework for automatic collection of key milestone nodes during aircraft turnaround
Intelligent temporal detection network for boundary-sensitive flight regime recognition
A multi-modal driver emotion dataset and study: Including facial expressions and synchronized physiological signals
A multi-temporal granularity feature driven convolutional ensemble model for electricity theft detection
Ultrathin optically transparent and flexible wideband absorber based on ANN and DGCNN
Photovoltaic cell model parameter optimization using micro-charge field effect P systems
Game-theoretic analytics for privacy preservation in Internet of Things networks: A survey
A combined entropy-based approach for a proactive credit scoring
A new interval type-2 fuzzy approach for multi-scenario project cash flow assessment based on alternative queuing method and dependency structure matrix with a case study
Supervised leukocyte segmentation in tissue images using multi-objective optimization technique
Prediction of heart failure using voting ensemble learning models and novel data normalization techniques
Planning scheme of artificial assembly posture and arm movement path in narrow space
Toward accurate detection of small objects in rail construction: A deep learning perspective
Shared mobility demand prediction via A fast spatiotemporal tensor autoregression
Overcoming challenges in leveraging blockchain technology: Entropy-based q-rung orthopair fuzzy model for benchmarking application barriers
A novel decomposed Z-fuzzy TOPSIS method with functional and dysfunctional judgments: An application to transfer center location selection
Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance & non-local information and mean membership linking
Enhancing atrial fibrillation classification from single-lead electrocardiogram signals using attention-based networks and generative adversarial networks with density-based clustering
Improved estimation of rail-wheel contact forces from instrumented wheel-set data through higher harmonic cancellation and a back-propagation neural network scheme
Generating multi-level explanations for process outcome predictions
Unified spatio-temporal attention mixformer for visual object tracking
Backtracking search based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time
A cascaded deep neural network for design and verification of surface lattice resonance metasurfaces biosensors
Targeted mining of top-k high utility itemsets
Essential anchor graph learning for incomplete multi-view clustering
An adaptive GLNPSO method for inventory replenishment supply chain problem with multiple-warehouse policy and budget consideration
Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology
Decoupling thermal effects in GaN photodetectors for accurate measurement of ultraviolet intensity using deep neural network
A unified solution for replacing position embedding in Vision Transformer for object detection
InfoFlowNet: A multi-head attention-based self-supervised learning model with surrogate approach for uncovering brain effective connectivity
A Multi-scale Patch Mixer Network for Time Series Anomaly Detection
Supervised feature selection techniques in network intrusion detection: A critical review
Optimizing location selection for foreign trade intelligence centres using spherical fuzzy methods
Respiratory parameter estimation using pharyngeal phonetics and machine learning: Breaking free from spirometry
A deep reinforcement learning optimization algorithm based on heterogeneous graph neural network for hybrid flow shop scheduling problem with finite transportation resources
Multilayer perceptron for the learning of spatio-temporal dynamics - application in thermal engineering
A novel strategy for classifying perceived video quality using electroencephalography signals
Performance evaluation of ferro-fluids flooding in enhanced oil recovery operations based on machine learning
Trainable guided attention based robust leather defect detection
A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model
Maize seed fraud detection based on hyperspectral imaging and one-class learning
On-line robust graphical diagnoser for hybrid dynamical systems
Feedback controller design over the internet of things
A graph theoretic approach for unsupervised feature selection
PolarGAN: Creating realistic Arctic sea ice concentration images with user-defined geometric preferences
Geographical localization of web domains and organization addresses recognition by employing natural language processing, Pattern Matching and clustering
Influence of exogenous factors on water demand forecasting models during the COVID-19 period
Distribution line inspection method using multi-scale information augmentation and ensemble learning
Improving the performance of semi-supervised person Re-identification by selecting reliable unlabeled samples
Extracting significant Website Key Objects: A Semantic Web mining approach
Probabilistic prediction of tunnel geology using a Hybrid Neural-HMM
Patch-level proxy metric learning with coresets for precise anomaly localization
An advanced framework for mobile robot trajectory tracking controller via recurrent general Type-2 fuzzy neural networks
A three-stage segmentation framework for lung cancer lesion isolation in three-dimensional positron emission tomography images
Generating intersection pre-crash trajectories for autonomous driving safety testing using Transformer Time-Series Generative Adversarial Networks
A hierarchical SOM-based intrusion detection system
Linguistic Pythagorean fuzzy Aczel-Alsina aggregation operators and their application in multi-attribute group decision-making: An approach for smart city development
Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion
Cumulative dual-branch network framework for long-tailed multi-class classification
A meta-inspired termite queen algorithm for global optimization and engineering design problems
Operating performance assessment method for industrial process with slowness principle-based LSTM network
SEM: Safe exploration mask for q-learning
Compact convolutional transformers- generative adversarial network for compound fault diagnosis of industrial robot
A recurrent neural network for computational physiology and its application to intracoronary image-derived fractional flow reserve
Optimal fuzzy logic control for MDOF structural systems using evolutionary algorithms
Multi-modal multi-sensor feature fusion spiking neural network algorithm for early bearing weak fault diagnosis
Development and comparative evaluation of various fault detection algorithms for a drum brake using artificial neural networks and a physics-based model
Deep neuro-neutrosophic systems for detection of online sexism
Nonlinear system identification based on a self-organizing type-2 fuzzy RBFN
Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems
A hybrid approach for static hand gesture recognition: Integrating Directional Adaptive Patterns with Multi-Scale Feature Extraction and Aggregation
Fault tolerance in the framework of support vector machines based model predictive control
Hate speech detection in Turkish: An ensemble transformer-based deep learning approach
Engineering collective intelligence at the edge with aggregate processes
An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem
Thermal behavior prediction of the spindle-bearing system based on the adaptive thermal network modeling method
A novel enhanced Superlet Synchroextracting transform ensemble learning for structural health monitoring using nonlinear wave modulation
Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks
Possibilistic simulation based interactive fuzzy MAGDM under discrimination q-rung picture linguistic information. Application in educational programs efficiency evaluation
UAV trajectory planning in cluttered environments based on PF-RRT* algorithm with goal-biased strategy
Secure breast cancer imaging: A novel advanced generative model encryption approach
Quaternion convolutional neural networks for hyperspectral image classification
A noise suppression zeroing neural network for trajectory tracking with joint angle constraints of mobile manipulator
A multi-objective double Q-learning-based hyper-heuristic algorithm for aluminum production and transportation integrated scheduling problem
An integrated chance-constrained stochastic model for a preemptive multi-skilled multi-mode resource-constrained project scheduling problem: A case study of building a sports center
Development of an optimization model for water resources systemsplanning
Early prediction of lithium-ion battery health in electric vehicles using small-sample learning and hybrid models
Region-guided spatial feature aggregation network for vehicle re-identification
DynLeafNet: A dynamic lightweight architecture for plant disease classification using dynamic residual network with explainable artificial intelligence
Mining non-redundant closed flexible periodic patterns
Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case
Block-Matching Fuzzy C-Means clustering algorithm for segmentation of color images degraded with Gaussian noise
Semantic Shapley-based counterfactual explanations for end-to-end autonomous driving
Mamba-based hybrid network for multi-modality feature fusion
Marine dual fuel engines monitoring in the wild through weakly supervised data analytics
Knowledge graph-based operation and maintenance risk analysis and early warning approach for railway traction power supply systems
A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network
ITran: A novel transformer-based approach for industrial anomaly detection and localization
Hybrid ANFIS-PSO algorithm for estimation of the characteristics of porous vacuum preloaded air bearings and comparison performance of the intelligent algorithm with the ANN
Self-distilled masked autoencoders for medical images
F2M: Ensemble-based uncertainty estimation model for fire detection in indoor environments
Defect detection and data generation of shunt between three layers of resistance spot welding based on deep convolutional generative adversarial network and conditional variational autoencoder
DFP-SEPSF: A dynamic frequent pattern tree to mine strong emerging patterns in streamwise features
Three-way dynamic clustering algorithms based on generalized neighborhood relations in incomplete hybrid information systems with applications in medical decision-making
Patterns of time-interval based patterns for improved multivariate time series data classification
The application of neural networks to improve the quality of experience of video transmission over IP networks
A regularized constrained two-stream convolution augmented Transformer for aircraft engine remaining useful life prediction
Phase-aware and edge prediction error fusion for face anti-spoofing
Predictive modeling of combustion cycle variations in spark ignition engine based on backpropagation neural network and artificial bee colony algorithm
Research on multivariate time series prediction method for upper motion intention perception
Autonomic wireless sensor networks
Multi-modal ensemble framework of convolutional neural networks and transformers for visual intent detection using explainable artificial intelligence
A deep reinforcement learning assisted adaptive genetic algorithm for flexible job shop scheduling
Robust kernel extreme learning machines with weighted mean of vectors and variational mode decomposition for forecasting total dissolved solids
CN4SRSS: Combined network for super-resolution reconstruction and semantic segmentation in frontal-viewing camera images of vehicle
Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation
Deep reinforcement learning-based radio function deployment for secure and resource-efficient NG-RAN slicing
Multi-objective high-dimensional multi-fractional-order optimization algorithm for multi-objective high-dimensional multi-fractional-order optimization controller parameters of doubly-fed induction generator-based wind turbines
Cross-modal Semantic Interference Suppression for image-text matching
Interval type-2 fuzzy inverse controller design in nonlinear IMC structure
A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions
Diagnosing with a hybrid fuzzy-Bayesian inference approach
A hierarchical federated learning framework for collaborative quality defect inspection in construction
Convex sets as prototypes for classifying patterns
A method of user recruitment and adaptation degree improvement via community collaboration in sparse mobile crowdsensing systems
A heuristic algorithm combining Pareto optimization and niche technology for multi-objective unequal area facility layout problem
Dynamic model-based intelligent fault diagnosis method for fault detection in a rod fastening rotor
Secure fuzzy-based H∞ consensus control for nonlinear multi-agent systems under quantized sampled-data mechanism and its applications
Using fuzzy logic and particle swarm optimization to design a decision-based filter for cDNA microarray image restoration
Optimal strategies for spatial network disintegration through virtual node model
Vibration optimization of cantilevered bistable composite shells based on machine learning
Use of interpretable machine learning approaches for quantificationally understanding the performance of steel fiber-reinforced recycled aggregate concrete: From the perspective of compressive strength and splitting tensile strength
Multi-lead model-based ECG signal denoising by guided filter
Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey
Privacy-preserving customer churn prediction model in the context of telecommunication industry
Learning-based black box checking for k-safety hyperproperties
Detection of outlying patterns from sparse and irregularly sampled electronic health records data
An efficient frequency domain fusion network of infrared and visible images
Ant Colony Estimator: An intelligent particle filter based on ACO R
Hyperbolic Adversarial Variational Embedding for item recommendation
A comparative analysis of knowledge injection strategies for large language models in the scholarly domain
Synchronous spatio-temporal signature verification via Fusion Triplet Supervised Network
Machine learning-based prediction of compressive strength in sustainable self-compacting concrete
Integrate domain knowledge in training multi-task cascade deep learning model for benign-malignant thyroid nodule classification on ultrasound images
SkyWords : An automatic keyword extraction system based on the skyline operator and semantic similarity
Progressive information integration in lightweight image super-resolution
A novel methodology to classify test cases using natural language processing and imbalanced learning
A reward-directed diffusion framework for generative design
Modelling alarm management workflow in healthcare according to IHE framework by coloured Petri Nets
A reinforced iterative formalism to learn from human errors and uncertainty
Query-support semantic correlation mining for few-shot segmentation
Five-step discrete-time noise-tolerant zeroing neural network model for time-varying matrix inversion with application to manipulator motion generation
A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem
Adding compact parameter blocks to multimodal transformers to detect harmful memes
GAPN-LA: A framework for solving graph problems using Petri nets and learning automata
Data-driven multi-objective synergistic to targeted enhancement framework for high-performance aluminum alloy design
An outranking method for selecting the best gate security system using spherical fuzzy rough numbers
Thermal-aware routing in three-dimensional network on chips with temperature prediction using principal component analysis and adaptive neuro-fuzzy inference system
Enhanced forecasting method for realized volatility of energy futures prices: A secondary decomposition-based deep learning model
An ensemble learning approach to condition assessment of dissipative CLT connections based on piezoceramic sensor data
An Adaptive Physics-Informed Neural Network Observer for state estimation in nonlinear dynamical systems
Selective cooperative disassembly planning based on multi-objective discrete artificial bee colony algorithm
Prescriptive tool wear Control: Tool wear early prediction and cutting parameter regulation for discrete turning operations
A customized classification algorithm for credit card fraud detection
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation
On-line voltage security assessment of power systems using core vector machines
Multi-objective decision-making method for road network-level maintenance plans based on Hadamard product and non-dominated sorting genetic Algorithm-III algorithm
Reduced search space mechanism for solving constrained optimization problems
Forecasting total electricity consumption using a novel sinusoidal driving seasonal multivariable grey prediction model
Accurate wind speed prediction using a Variational AutoEncoder integrated with a sequence-to-sequence-bidirectional long short-term memory-encoder-decoder architecture
Constrained contextual bandit algorithm for limited-budget recommendation system
Artificial intelligent pancreas for type 1 diabetic patients using adaptive type 3 fuzzy fault tolerant predictive control
Machine learning techniques for scheduling jobs with incompatible families and unequal ready times on parallel batch machines
"Will artificial intelligence platforms replace designers in the future?" analyzing the impact of artificial intelligence platforms on the engineering design industry through color perception
Intelligent prediction framework for thermogravimetric behavior of cement-based materials with theoretical model embedding
Numerical simulation of ozonation in hollow-fiber membranes for wastewater treatment
A channel selection method to find the role of the amygdala in emotion recognition avoiding conflict learning in EEG signals
Hierarchical Meta Alignment for cross-domain object detection
Effective prediction of drug transport in a partially liquefied vitreous humor: Physics-informed neural network modeling for irregular liquefaction geometry
A unified open-world semi-supervised learning framework for industrial defect detection via contrastive embedding and dynamic attention
ESRPCB: An edge guided super-Resolution model and ensemble learning for tiny Printed Circuit Board defect detection
Detecting worker loss of balance events from point cloud sequence using unsupervised motion-pose learning
Skeleton-based multi-person action recognition towards real-world violence detection
Grouping efficiency measures and their impact on factory measures for the machine-part cell formation problem: A simulation study
Lightweight multi-level feature integration transformer for image super-resolution
Deep muscle electromyogram construction using a physics-integrated deep learning approach
Non-parametric spatially constrained local prior for scene parsing on real-world data
Semi-supervised image segmentation via selective self-ensembling and boundary uncertainty suppression
Federated clustering for recognizing driving styles from private trajectories
Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems
Multi-level attention network: Mixed time-frequency channel attention and multi-scale self-attentive standard deviation pooling for speaker recognition
A flow rate estimation method for gas-liquid two-phase flow based on filter-enhanced convolutional neural network
Air quality index prediction based on spatio-temporal graph neural networks: An empirical study of Xi'an, China
Data-driven models for monthly streamflow time series prediction
Simulation-Driven Subdomain Adaptation Network for bearing fault diagnosis with missing samples
Incorporating machine learning and optimization techniques for assigning patients to operating rooms by considering fairness policies
A multi-view collaborative heterogeneous graph neural network with semantic- and relation-aware for drug-disease association prediction
A novel failure mode and effect analysis model using personalized linguistic evaluations and the rule-based Bayesian network
Fusing multiple image transformations and a thermal sensor with kinect to improve person detection ability
A noise-robust framework for multi-step wind power forecasting via self-supervised joint optimization
An advanced physics-informed neural operator for comprehensive design optimization of highly-nonlinear systems: An aerospace composites processing case study
Robust and efficient task scheduling for robotics applications with reinforcement learning