yusuke1997/dblp-id-title huggingface dataset:
Internet of things with bio-inspired co-evolutionary deep-convolution neural-network approach for detecting road cracks in smart transportation
MOPRD: A multidisciplinary open peer review dataset
Research on disaster evolution process in open-pit mining area based on space fault network
Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image
Optimal path planning for drones based on swarm intelligence algorithm
Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques
Clustering of entropy topography in epileptic electroencephalography
A new discriminative collaborative representation-based classification method via l 2 regularizations
Comparison of artificial neural network and combined models in estimating spatial distribution of snow depth and snow water equivalent in Samsami basin of Iran
A new NEST-IGWO strategy for determining optimal IGWO control parameters
Bank credit risk prediction using machine learning model
Novel MCGDM analysis under m-polar fuzzy soft expert sets
Scale invariant point feature (SIPF) for 3D point clouds and 3D multi-scale object detection
A robust entropy regularized K-means clustering algorithm for processing noise in datasets
Numerical solution of fuzzy differential equations of n th-order by Runge-Kutta method
Deep long short-term memory based model for agricultural price forecasting
Improvement of grey wolf optimizer with adaptive middle filter to adjust support vector machine parameters to predict diabetes complications
Reliable H ∞ guaranteed cost control for uncertain switched fuzzy stochastic systems with multiple time-varying delays and intermittent actuator and sensor faults
Evolutionary algorithm applied to time-series landing flight path and control optimization of supersonic transport
Heterogeneous domain adaptation by class centroid matching and local discriminative structure preservation
Integrating Matlab Neural Networks Toolbox functionality in a fully reusable software component library
COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm
Spiking neural network-based target tracking control for autonomous mobile robots
Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario
The Hopfield Neural Network Applied to the Quadratic Assignment Problem
Robot knowledge analysis based on cognitive computing and modular neural network feature combination
Analysis of computational intelligence techniques for diabetes mellitus prediction
Emerging higher-level artificial neural network-based intelligent systems
An adaptive grey wolf optimization with differential evolution operator for solving the discount {0-1} knapsack problem
Orthogonal learning metaheuristics for structural optimization
Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets
Evaluation of a pressure head and pressure zones in water distribution systems by artificial neural networks
Data-driven approaches and model-based methods for detecting and locating leaks in water distribution systems: a literature review
Correction to: Special issue on large-scale neural computing and cybersecurity opportunities using artificial intelligence
Real-time embedded emotional controller
Intelligent e-learning system based on fuzzy logic
Self-supervised modal optimization transformer for image captioning
Quantitative cooperation analysis among cross-chain smart contracts
On non-Fourier flux in nonlinear stretching flow of hyperbolic tangent material
A deep learning analysis for the effect of individual player performances on match results
Artificial neural network models for FRP-repaired concrete subjected to pre-damaged effects
Improved adaptive neuro-fuzzy inference system
Numerical prediction of ureter stone size using an integrated CFD-ML approach
Modified orca predation algorithm: developments and perspectives on global optimization and hybrid energy systems
Discriminative latent subspace learning with adaptive metric learning
A graph-theoretic approach to exponential stability of stochastic BAM neural networks with time-varying delays
Self-distillation framework for improving fake speech detection in the domain variability scenario
HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
SedimentNet - a 1D-CNN machine learning model for prediction of hydrodynamic forces in rapidly varied flows
Predictive clustering on non-successive observations for multi-step ahead chaotic time series prediction
Estimation of landmine characteristics in sandy desert using neural networks
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem
A Siamese network-based tracking framework for hyperspectral video
Finite-time multistability of a multidirectional associative memory neural network with multiple fractional orders based on a generalized Gronwall inequality
Wavelet-based image interpolation using multilayer perceptrons
Dual attentive graph neural network for metro passenger flow prediction
Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach
Assessing the correlation between the sustainable energy for all with doing a business by artificial neural network
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle
Surface roughness prediction in turning using artificial neural network
Conditional hybrid GAN for melody generation from lyrics
Travel time prediction based on route links' similarity
Deep learning and Internet of Things for tourist attraction recommendations in smart cities
Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models
Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction
Fuzzy logic-based model for predicting material removal rate and average surface roughness of machined Nimonic 80A using abrasive-mixed electro-discharge diamond surface grinding
Artificial evolution using neuroevolution of augmenting topologies (NEAT) for kinetics study in diverse viscous mediums
Landslide detection in real-time social media image streams
Modeling on magnetohydrodynamic Stokes flow using machine learning and curve fitting
Artificial intelligence in music: recent trends and challenges
Stacked ensemble learning based on deep transfer learning models for food ingredient classification and food quality determination
A multi-criteria sustainability performance assessment based on the extended CRADIS method under intuitionistic fuzzy environment: a case study of Turkish non-life insurers
On the efficiency of artificial neural networks for plastic analysis of planar frames in comparison with genetic algorithms and ant colony systems
Generalization in multi-objective machine learning
Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks
Preparation and optimization of chitosan/polyethylene oxide nanofiber diameter using artificial neural networks
Correction to: Use of GMDH-type neural network to model the mechanical behavior of a cement-treated sand
A double Actor-Critic learning system embedding improved Monte Carlo tree search
GIMIRec: Global Interaction-aware Multi-Interest framework for sequential Recommendation
Online semi-supervised multi-channel time series classifier based on growing neural gas
Evaluation model of green supply chain cooperation credit based on BP neural network
Exponential synchronization of fractional-order multilayer coupled neural networks with reaction-diffusion terms via intermittent control
CUDA-based parallelization of a bio-inspired model for fast object classification
Transferring fashion to surveillance with weak labels
Hybrid semantic deep learning architecture and optimal advanced encryption standard key management scheme for secure cloud storage and intrusion detection
Q-learning as a model of utilitarianism in a human-machine team
Sparse data-based image super-resolution with ANFIS interpolation
New multi-criteria LNN WASPAS model for evaluating the work of advisors in the transport of hazardous goods
An improved KNN classifier based on a novel weighted voting function and adaptive k-value selection
Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition
Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy
Solving for time-varying and static cube roots in real and complex domains via discrete-time ZD models
Correction to: A hybrid teaching-learning slime mould algorithm for global optimization and reliability-based design optimization problems
Symmetric mean binary pattern-based Pakistan sign language recognition using multiclass support vector machines
Artificial bee colony algorithm with an adaptive search manner and dimension perturbation
A hybrid deep learning approach for classification of music genres using wavelet and spectrogram analysis
Corrosion and coating defect assessment of coal handling and preparation plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion
Cluster merging based on a decision threshold
Digital mammogram classification using 2D-BDWT and GLCM features with FOA-based feature selection approach
Generation of artificial neural networks models in anticancer study
Comparison of TSCS regression and neural network models for panel data forecasting: debt policy
Scheduling of combined heat and generation outputs in power systems using a new hybrid multi-objective optimization algorithm
Threat Object-based anomaly detection in X-ray images using GAN-based ensembles
Camera model identification using a deep network and a reduced edge dataset
Local part attention for image stylization with text prompt
Modeling of magnetic cooling power of manganite-based materials using computational intelligence approach
Micro-genetic algorithms for detecting and classifying electric power disturbances
Bayesian math word problem solvers with credibility level: know what they know and what they do not know
Retraction Note: Reality of virtual damage identification based on neural networks and vibration analysis of a damaged bridge under a moving vehicle
VISTA: vision improvement via split and reconstruct deep neural network for fundus image quality assessment
Research on computer vision enhancement in intelligent robot based on machine learning and deep learning
Prediction of industrial debutanizer column compositions using data-driven ANFIS- and ANN-based approaches
One-shot knowledge graph completion based on disentangled representation learning
Modeling of neurotransmitter effects in olfactory bulb
Adapting transfer learning models to dataset through pruning and Avg-TopK pooling
Detection of solidification crack formation in laser beam welding videos of sheet metal using neural networks
Boosting algorithms in energy research: a systematic review
Air infrared small target local dehazing based on multiple-factor fusion cascade network
Retraction Note: Sine-cosine algorithm for feature selection with elitism strategy and new updating mechanism
Comparison of export and outward foreign direct investment models of Chinese enterprises based on quantitative algorithm
Spatial division networks for weakly supervised detection
Smart aquaculture: an advanced intelligent predictive analysis of disease risks and recommendation system for managing fish health
A novel drowsiness detection model using composite features of head, eye, and facial expression
Modified Zhang and Xu's distance measure for Pythagorean fuzzy sets and its application to pattern recognition problems
Enhancing breast cancer histopathological image classification using attention-based high order covariance pooling
A neuroplasticity-inspired neural circuit for acoustic navigation with obstacle avoidance that learns smooth motion paths
Enhancing single-lead electrocardiogram arrhythmia detection with empirical mode decomposition
An attention-guided convolutional neural network for automated classification of brain tumor from MRI
Efficient multi-task learning with adaptive temporal structure for progression prediction
Risk assessment of young driver behavior using an extended decision-making approach based on FMEA in uncertain environments
Currency Exchange Rate Prediction and Neural Network Design Strategies
Enhanced prediction of agricultural CO 2 emission using ensemble machine learning-based imputation approach
A contrastive knowledge graph embedding model with hierarchical attention and dynamic completion
Handling occlusion in prohibited item detection from X-ray images
Global asymptotical stability for a class of non-autonomous impulsive inertial neural networks with unbounded time-varying delay
Evaluation and analysis of ear recognition models: performance, complexity and resource requirements
Cross-dimensional feature attention aggregation network for cloud and snow recognition of high satellite images
Intelligent tutoring system model based on fuzzy logic and constraint-based student model
An accurate flexible process planning using an adaptive genetic algorithm
Modeling and analysis of departure routine in air traffic control based on Petri nets
Elderly people activity monitoring with involved binary sensors and Deep Convolution Neural Network
Cortex-inspired ensemble based network intrusion detection system
High embedding capacity in 3D model using intelligent Fuzzy based clustering
A robust crow search algorithm-based power system stabilizer for the SMIB system
Improved Arabic image captioning model using feature concatenation with pre-trained word embedding
A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics-EMG features
A systematic mapping study on solving university timetabling problems using meta-heuristic algorithms
Reconciling predictive and interpretable performance in repeat buyer prediction via model distillation and heterogeneous classifiers fusion
IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture
Text emotion detection in social networks using a novel ensemble classifier based on Parzen Tree Estimator (TPE)
Fractional Volterra LMS algorithm with application to Hammerstein control autoregressive model identification
A fuzzy view of Γ-hyperrings
A study on self-supervised sketch-based image retrieval on unpaired data (S3BIR)
Toward cognitive support for automated defect detection
Computational Neural Networks for Mapping Calorimetric Data: Application of Feed-forward Neural Netwroks to Kinetic Parameters Determination and Signals Filtering
Leaf species and disease classification using multiscale parallel deep CNN architecture
Evaluating the impact of music tempo on drivers and their performance using an artificial intelligence model: a multi-source data approach
Retraction Note to: Predicting the effects of nanoparticles on early age compressive strength of ash-based geopolymers by artificial neural networks
Delayed impulsive control for exponential synchronization of stochastic reaction-diffusion neural networks with time-varying delays using general integral inequalities
Automatic sleep stages classification based on iterative filtering of electroencephalogram signals
Copy-move forgery detection technique based on discrete cosine transform blocks features
Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario
Using particle swarm optimization of fuzzy logic systems as a hybrid soft computing method to enhance solar energy prediction
A novel hybrid method based on fuzzy cognitive maps and fuzzy clustering algorithms for grading celiac disease
Event-triggered asynchronous distributed optimization algorithm with heterogeneous time-varying step-sizes
A novel fractional operator application for neural networks using proportional Caputo derivative
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Stochastic learning of multi-instance dictionary for earth mover's distance-based histogram comparison
Classification of anemia using Harris hawks optimization method and multivariate adaptive regression spline
A coevolutionary artificial bee colony for training feedforword neural networks
Evolutionary mating algorithm
Class-guided human motion prediction via multi-spatial-temporal supervision
Global exponential robust stability of reaction-diffusion interval neural networks with continuously distributed delays
Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes
Lgvc: language-guided visual context modeling for 3D visual grounding
Shape completion with azimuthal rotations using spherical gidding-based invariant and equivariant network
State estimation of recurrent neural networks with interval time-varying delay: an improved delay-dependent approach
Neural leader-follower swarm control algorithm for underwater vehicles
Enhanced early detection of ovarian cancer through deep learning and fuzzy rough sets
DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model
Mining hidden non-redundant causal relationships in online social networks
Frank prioritized Bonferroni mean operator with single-valued neutrosophic sets and its application in selecting third-party logistics providers
A novel hybrid approach of ABC with SCA for the parameter optimization of SVR in blind image quality assessment
Flood disaster risk assessment based on random forest algorithm
Rule-based detection technique for ICMPv6 anomalous behaviour
Statistical machine translation of Indian languages: a survey
An integration of enhanced social force and crowd control models for high-density crowd simulation
An admission control algorithm based on matching game and differentiated service in wireless mesh networks
A neural network proxy cache replacement strategy and its implementation in the Squid proxy server
Delay-dependent fault detection and diagnosis using B-spline neural networks and nonlinear filters for time-delay stochastic systems
Improved accuracy of He's energy balance method for analysis of conservative nonlinear oscillator
Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness
Correction to: Color constancy for non-uniform illumination estimation with variable number of illuminants
Prediction of asphaltene precipitation by using hybrid genetic algorithm and particle swarm optimization and neural network
Synthesis of linear antenna array using flower pollination algorithm
Global adaptive matrix-projective synchronization of delayed fractional-order competitive neural network with different time scales
ANWOA: an adaptive nonlinear whale optimization algorithm for high-dimensional optimization problems
Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification
Multi-camera person re-identification using spatiotemporal context modeling
A comparative evaluation of nonlinear dynamics methods for time series prediction
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
Confidential information protection method of commercial information physical system based on edge computing
An experimental approach to design deterministic and adaptive control schemes for grouping genetic algorithms
Three-dimensional neural network tracking control of a moving target by underactuated autonomous underwater vehicles
TLVANE: a two-level variation model for attributed network embedding
Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River
A deep learning-based resource usage prediction model for resource provisioning in an autonomic cloud computing environment
Top-N recommendation algorithm integrated neural network
Designing a skilled soccer team for RoboCup: exploring skill-set-primitives through reinforcement learning
Fuzzy truck control scheme for obstacle avoidance
Application of ANN and traditional ML algorithms in modelling compost production under different climatic conditions
An entropy fusion method for feature extraction of EEG
Toward an enhanced automatic medical report generator based on large transformer models
CGAN-based synthetic multivariate time-series generation: a solution to data scarcity in solar flare forecasting
A part-based spatial and temporal aggregation method for dynamic scene recognition
Cooperative output regulation of heterogeneous linear multi-agent systems with edge-event triggered adaptive control under time-varying topologies
2D fully chaotic map for image encryption constructed through a quadruple-objective optimization via artificial bee colony algorithm
Multi-sensor 3D object dataset for object recognition with full pose estimation
Noise-tolerant zeroing neural network control for a novel compliant actuator in lower-limb exoskeletons
Time series forecasting based on wavelet decomposition and feature extraction
Time-series prediction of hourly atmospheric pressure using ANFIS and LSTM approaches
Impacts of gold nanoparticles on MHD mixed convection Poiseuille flow of nanofluid passing through a porous medium in the presence of thermal radiation, thermal diffusion and chemical reaction
Cauchy with whale optimizer based eagle strategy for multi-level color hematology image segmentation
Artificial bee colony algorithm-neural networks for S-system models of biochemical networks approximation
A note on "Regular bipolar fuzzy graphs" Neural Computing and Applications 21(1) (2012) 197-205
Novel design of artificial ecosystem optimizer for large-scale optimal reactive power dispatch problem with application to Algerian electricity grid
Artificial intelligence-based load optimization in cognitive Internet of Things
RBF networks-based adaptive approximate model controller for steam valving control
Depth-guided deep filtering network for efficient single image bokeh rendering
AQRG: adaptive quantization reconstruction granularity for post-training quantization
Minimally buffered deflection router for spiking neural network hardware implementations
A robust weakly supervised learning of deep Conv-Nets for surface defect inspection
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population
Retraction Note to: Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer
Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach
Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction
Partial offloading strategy for mobile edge computing considering mixed overhead of time and energy
Retraction Note: A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system
Diegraph: dual-branch information exchange graph convolutional network for deformable medical image registration
Generative adversarial learning for missing data imputation
On Parity Problems and the Functional-link Artificial Neural Network
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing
A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting
Alleviating Chinese repetitive generation via intra and intersentence penalty
AGG: attention-based gated convolutional GAN with prior guidance for image inpainting
Research on water temperature prediction based on improved support vector regression
A hybrid breast cancer detection system via neural network and feature selection based on SBS, SFS and PCA