yusuke1997/dblp-id-title huggingface dataset:
Artificial neural network models to predict the response of 55NiTi shape memory alloy under stress and thermal cycles
Performance enhancement of deep neural network using fusional data assimilation and divide-and-conquer approach; case study: earthquake magnitude calculation
Adaptation of diagonal recurrent neural network model
A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment
Multi-step time series prediction intervals using neuroevolution
Image denoising via structure-constrained low-rank approximation
End-to-end dynamic residual focal transformer network for multimodal medical image fusion
Hybrid Shunted Transformer embedding UNet for remote sensing image semantic segmentation
A GA based hierarchical feature selection approach for handwritten word recognition
Learning enabled cooperative agent behavior in an evolutionary and competitive environment
Identification of Residential Property Sub-Markets using Evolutionary and Neural Computing Techniques
A novel image encryption technique based on Hénon chaotic map and S8 symmetric group
3D image retrieval based on differential geometry and co-occurrence matrix
Stochastic finite-time stabilization for stochastic multi-links coupled systems with time delays
CanSuR: a robust method for staining pattern recognition of HEp-2 cell IIF images
Cultural heritage digital twin: modeling and representing the visual narrative in Leonardo Da Vinci's Mona Lisa
Advances in plant nutrition diagnosis based on remote sensing and computer application
Accurate segmentation of COVID-19 infected regions in lung CT scans with deep learning
Multi-modal fusion learning through biosignal, audio, and visual content for detection of mental stress
Chaotic Flower Pollination Algorithm for scheduling tardiness-constrained flow shop with simultaneously loaded stations
Stability property of impulsive inertial neural networks with unbounded time delay and saturating actuators
Data augmentation and feature extraction using deep learning for motor imagery EEG-based brain-computer interface classification
A local-to-global scheme-based multi-objective evolutionary algorithm for overlapping community detection on large-scale complex networks
Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network
Multi-attention multiple instance learning
Leveraging AutoEncoders and chaos theory to improve adversarial example detection
A BERT-based model for coupled biological strategies in biomimetic design
Predictive model for shear strength estimation in reinforced concrete beams with recycled aggregates using Gaussian process regression
A deep learning-based framework for object recognition in ecological environments with dense focal loss and occlusion
An improved cuckoo search algorithm with self-adaptive knowledge learning
Squirrel search algorithm applied to effective estimation of solar PV model parameters: a real-world practice
Human face super-resolution on poor quality surveillance video footage
Financial model construction of a cross-border e-commerce platform based on machine learning
CTNet: convolutional transformer network for diabetic retinopathy classification
Dsa-PAML: a parallel automated machine learning system via dual-stacked autoencoder
A novel convolutional neural network with interference suppression for the fault diagnosis of mechanical rotating components
Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes
A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
Speech nonfluency detection using Kohonen networks
Recurrent self-optimizing proposals for weakly supervised object detection
Theoretical analysis framework of a shared economy supervision and management model using mobile information system data
Machine learning approaches to intrusion detection in unmanned aerial vehicles (UAVs)
Machine learning techniques for CT imaging diagnosis of novel coronavirus pneumonia: a review
A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays
Particle swarm optimization with local search for height-map surface reconstruction from point clouds in reverse engineering
Radiative and magnetohydrodynamic micropolar hybrid nanofluid flow over a shrinking sheet with Joule heating and viscous dissipation effects
Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising
Novel robust Elman neural network-based predictive models for bubble point oil formation volume factor and solution gas-oil ratio using experimental data
A multivariate ensemble learning method for medium-term energy forecasting
Study on supply chain strategy based on cost income model and multi-access edge computing under the background of the Internet of Things
Emergent self-organizing feature map for recognizing road sign images
A meta-heuristic-based energy efficient route modeling for EV on non-identical road surfaces
Effective non-random extreme learning machine
CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes
State of charge preventive control of storage device to stabilize VSI-based microgrid after islanding occurrence using ANN-based control
New weighted BERT features and multi-CNN models to enhance the performance of MOOC posts classification
Neural networks for power management optimal strategy in hybrid microgrid
An adaptive twin support vector regression machine based on rough and fuzzy set theories
Associate learning and correcting in a memristive neural network
A lightweighted densely connected network for insect-pest identification in cotton crop
Extreme learning machine-based predictor for real-time frequency stability assessment of electric power systems
Cross-region building counting in satellite imagery using counting consistency
Hyperchaos synchronization using PSO-optimized RBF-based controllers to improve security of communication systems
A review of the current publication trends on missing data imputation over three decades: direction and future research
Weights optimization for multi-instance multi-label RBF neural networks using steepest descent method
Financial time series prediction using distributed machine learning techniques
Speech emotion recognition using FCBF feature selection method and GA-optimized fuzzy ARTMAP neural network
Indoor scene segmentation algorithm based on full convolutional neural network
Tracking in scale quad-rotors through adaptive augmentation
The impact of intrinsic rewards on exploration in Reinforcement Learning
COREM 2 project: a beginning to end approach for cyber intrusion detection
Frequency-constrained unit commitment problem with considering dynamic ramp rate limits in the presence of wind power generation
Emotional sentiment analysis for a group of people based on transfer learning with a multi-modal system
Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region
Single-image low-light enhancement via generating and fusing multiple sources
Stacked autoencoder with novel integrated activation functions for the diagnosis of autism spectrum disorder
A novel feature extraction method for machine learning based on surface electromyography from healthy brain
Combining EfficientNet with ML-Decoder classification head for multi-label retinal disease classification
k-Means-MIND: comparing seeds without repeated k-means runs
ECNN: evaluating a cluster-neural network model for city innovation capability
Non-invasive quantitative diagnosis of liver fibrosis with an artificial neural network
Genetic algorithm-based community detection in large-scale social networks
Clustering unknown network traffic with dual-path autoencoder
Application of SVR, Taguchi loss function, and the artificial bee colony algorithm to resolve multiresponse parameter design problems: a case study on optimizing the design of a TIR lens
Nodes placement in wireless mesh networks using optimization approaches: a survey
Winner-Take-All Network Utilising Pseudoinverse Reconstruction Subnets Demonstrates Robustness on the Handprinted Character Recognition Problem
Multitask multilayer-prediction model for predicting mechanical ventilation and the associated mortality rate
High-performance UAVs visual tracking using deep convolutional feature
Consider high-order consistency for multi-view clustering
An empirical study on prediction of seismic activity using stochastic configuration networks
RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment
Regional economic development coordination management system based on fuzzy hierarchical statistical model
A conditional input-based GAN for generating spatio-temporal motor imagery electroencephalograph data
Improving security of the Internet of Things via RF fingerprinting based device identification system
Weighted pseudo-anti-periodic SICNNs with mixed delays
Generalized zero-shot domain adaptation with target unseen class prototype learning
GRU-based model-free adaptive control for industrial processes
Spatial-temporal dynamics of a non-monotone reaction-diffusion Hopfield's neural network model with delays
CFIDNet: cascaded feature interaction decoder for RGB-D salient object detection
Neural network quantization: separate scaling of rows and columns in weight matrix
A low-cost decision-aided channel estimation method for Alamouti OSTBC
Neural networks for the EMOBOT robot control architecture
An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis
A hybrid MPSO-BP structure adaptive algorithm for RBFNs
Learning deep convolutional descriptor aggregation for efficient visual tracking
Pathological brain classification using multiple kernel-based deep convolutional neural network
Novel neural adaptive terminal sliding mode control for TCP network systems with arbitrary convergence time
The use of neural networks for the prediction of cone penetration resistance of silty sands
Enhanced myoelectric control against arm position change with weighted recursive Gaussian process
DDSS: denge decision support system to recommend the athlete-specific workouts on balance data
Multi-class classification using hybrid soft decision model for agriculture crop selection
Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approach
CDFF: a fast and highly accurate method for recognizing traffic signs
Influence-aware memory architectures for deep reinforcement learning in POMDPs
A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification
Image retrieval using underlying importance feature histogram
A machine learning approach for cost prediction analysis in environmental governance engineering
An enhanced equilibrium optimizer for strategic planning of PV-BES units in radial distribution systems considering time-varying demand
Feature synthesis for image classification and retrieval via one-against-all perceptrons
Neural network training based on FPGA with floating point number format and it's performance
MHD stagnation point flow and heat transfer in viscoelastic fluid with Cattaneo-Christov heat flux model
AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus
A novel hybrid metaheuristic algorithm for model order reduction in the delta domain: a unified approach
Large Language Models in Finance (FinLLMs)
Application of Self-Organisation Neural Network for Direct Shape from Shading
Time-series benchmarks based on frequency features for fair comparative evaluation
An Empirical Evaluation of Probability Estimation with Neural Networks
Hierarchical stochastic graphlet embedding for graph-based pattern recognition
Coevolutionary genetic watermarking for owner identification
Intelligent approach for prediction of minimum miscible pressure by evolving genetic algorithm and neural network
DNN-MF: deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems
Boosting manta rays foraging optimizer by trigonometry operators: a case study on medical dataset
Subspace embedding for classification
Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm
Basic Competitive Neural Networks as Adaptive Mechanisms for Non-Stationary Colour Quantisation
The approximation of the T-S fuzzy model for a class of nonlinear singular systems with impulses
Forecasting Nordic electricity spot price using deep learning networks
Darcy-Brinkman bio-thermal convection in a suspension of gyrotactic microorganisms in a porous medium
Multiple delay-dependent finite-time boundedness and input-output finite-time mean square stabilization of uncertain semi-Markovian jump systems with input constraint
DKD-DAD: a novel framework with discriminative kinematic descriptor and deep attention-pooled descriptor for action recognition
Repformer: a robust shared-encoder dual-pipeline transformer for visual tracking
Performance of ANN and M5P-tree to forecast the compressive strength of hand-mix cement-grouted sands modified with polymer using ASTM and BS standards and evaluate the outcomes using SI with OBJ assessments
Modelling Temporal Series Through Synaptic Delay-based Neural Networks
FuzzyEn-based features in FrFT-WPT domain for epileptic seizure detection
Fairness-driven federated learning-based spam email detection using clustering techniques
Product failure prediction with missing data using graph neural networks
An adaptive intelligent diagnostic system to predict early stage of parkinson's disease using two-stage dimension reduction with genetically optimized lightgbm algorithm
Unsupervised learning-based solution of the Close Enough Dubins Orienteering Problem
Isolation and distillation network for generalized zero-shot learning
A modular neuro-wavelet based non-unit protection scheme for zone identification and fault location in six-phase transmission line
Deep Q networks-based optimization of emergency resource scheduling for urban public health events
Deepfake detection using convolutional vision transformers and convolutional neural networks
Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically
Fault analysis in TCSC-compensated lines using wavelets and a PNN
Performance analysis and comparison of Machine Learning and LoRa-based Healthcare model
Sales forecasting in rapid market changes using a minimum description length neural network
Athletic signature: predicting the next game lineup in collegiate basketball
A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text
Correction to: Design and implementation of an autonomous EGR cooling system using deep neural network prediction to reduce NOx emission and fuel consumption of diesel engine
Ant colony optimization edge selection for support vector machine speed optimization
Ovarian cancer subtype classification using convolutional neural networks: an evaluation of deep learning techniques for histopathological image analysis
Hybrid GA-PSO method with local search and image clustering for automatic IFS image reconstruction of fractal colored images
A novel form-finding method via noise-tolerant neurodynamic model for symmetric tensegrity structure
Erratum to: Real-time transient stability status prediction using cost-sensitive extreme learning machine
A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots
Adaptive Rule Weights in Neuro-Fuzzy Systems
Research on data fusion of multi-sensors based on fuzzy preference relations
A review of small object detection based on deep learning
Stagnation point flow of nanomaterial towards nonlinear stretching surface with melting heat
Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care setting
Innovative feature-driven machine learning and deep learning for finance, education, and healthcare
Multi-cohort intelligence algorithm for solving advanced manufacturing process problems
Robust stability analysis for uncertain recurrent neural networks with leakage delay based on delay-partitioning approach
Graph-level heterogeneous information network embeddings for cardholder transaction analysis
A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators
Unreal mask: one-shot multi-object class-based pose estimation for robotic manipulation using keypoints with a synthetic dataset
Stability analysis and dynamic output feedback control for fuzzy networked control systems with mixed time-varying delays and interval distributed time-varying delays
Exact and numerical solutions for unsteady heat and mass transfer problem of Jeffrey fluid with MHD and Newtonian heating effects
Brain mid-sagittal surface extraction based on fractal analysis
Kids Learning Optimizer: social evolution and cognitive learning-based optimization algorithm
Parallel bi-state deep reinforcement learning approach for SFC placements and deployments
Exploiting plaintext-related mechanism for secure color image encryption
Object affordance detection with boundary-preserving network for robotic manipulation tasks
Historical document image binarization via style augmentation and atrous convolutions
Secure image encryption scheme based on fractals key with Fibonacci series and discrete dynamical system
A novel group decision model based on mean-variance-skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty
Development of a non-destructive fruit quality assessment utilizing odour sensing, expert vision and deep learning algorithm
Almost periodic solution of impulsive Hopfield neural networks with finite distributed delays
A simple and efficient rainfall-runoff model based on supervised brain emotional learning
Reservoir weights learning based on adaptive dynamic programming and its application in time series classification
Extended collaborative neighbor representation for robust single-sample face recognition
Enhanced coyote optimizer-based cascaded load frequency controllers in multi-area power systems with renewable
A multi-view clustering algorithm for attributed weighted multi-edge directed networks
Kernel-based similarity sorting and allocation for few-shot semantic segmentation
Multilayer perceptron with different training algorithms for streamflow forecasting
An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
Tracking vital signs of a patient using channel state information and machine learning for a smart healthcare system
Pedestrian detection with LeNet-like convolutional networks
A multi-model methodology for forecasting sales and returns of liquefied petroleum gas cylinders
YOLO-based CAD framework with ViT transformer for breast mass detection and classification in CESM and FFDM images
Online adaptive multiple pedestrian tracking in monocular surveillance video
Analysis of international debt problem using artificial neural networks and statistical methods
Biogeography-based optimisation with chaos
BERT-based keyword extraction model for the Turkish language
A grouping biogeography-based optimization for location area planning
Small sample learning based on probability-informed neural networks for SAR image segmentation
Arabic text classification: the need for multi-labeling systems
Development of novel automated language classification model using pyramid pattern technique with speech signals
Artificial neural network-based risk assessment for occupational accidents in the shipbuilding industry in Turkey
Trajectory tracking control of a line-following quadcopter using multilayer type-2 fuzzy Petri nets controller
Text clustering using VSM with feature clusters
Retraction Note: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
An improved shuffled frog-leaping algorithm for the minmax multiple traveling salesman problem
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model
Pinball loss-based multi-task twin support vector machine and its safe acceleration method
A comparison of modified tree-seed algorithm for high-dimensional numerical functions
Combining nearest neighbor data description and structural risk minimization for one-class classification
An improved kernel-based incremental extreme learning machine with fixed budget for nonstationary time series prediction
COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays
Lagrange programming neural networks for time-of-arrival-based source localization
Design and analysis of a dual-output multidirectional 3D printing system through intelligent robots
Model predictive control for trajectory-tracking and formation of wheeled mobile robots
Extended fuzzy logic controller for high speed train
Dynamic scheduling of heterogeneous resources across mobile edge-cloud continuum using fruit fly-based simulated annealing optimization scheme
Dynamic differential annealing-based anti-spoofing model for fingerprint detection using CNN
Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach
An exponential approach for the system of nonlinear delay integro-differential equations describing biological species living together
Self-supervised discriminative model prediction for visual tracking
Robust guaranteed cost control for continuous-time uncertain Markov switching singular systems with mode-dependent time delays
Trust-aware task offloading for cost-effective UAV-based edge computing based on reinforcement learning
Task planning of space debris removal based on a hierarchical exploration artificial bee colony algorithm
Taking class imbalance into account in open set recognition evaluation
Quantum multiverse optimization algorithm for optimization problems
Completing tags by local learning: a novel image tag completion method based on neighborhood tag vector predictor
Special issue on neural computing and applications 2020
Identification and prediction of phubbing behavior: a data-driven approach
On multi-objective covering salesman problem
Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks
Delay-distribution-dependent non-fragile state estimation for discrete-time neural networks under event-triggered mechanism
LS-Net: a convolutional neural network for leaf segmentation of rosette plants
AC/DC power systems planning comprising voltage source converters using an enhanced symbiotic organisms search algorithm
Implicit sensing self-supervised learning based on graph multi-pretext tasks for traffic flow prediction
Fuzzy logic-based induction motor protection system
In-depth analysis of automated baggage inspection using simulated X-ray images of 3D models
Intoxicated person identification using Markov chains and neural networks
A Randomized Block-Coordinate Adam online learning optimization algorithm
Fuzzy identification of nonuniformly sampled nonlinear systems based on forwards recursive input-output clustering
Scheduling jobs with deterioration effect and controllable processing time
HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection
Gray relational clustering model for intelligent guided monitoring horizontal wells
A decision-making model for self-driving vehicles based on GPT-4V, federated reinforcement learning, and blockchain
MEDIC: a multi-task learning dataset for disaster image classification
The application of a new attribute selection technique to the forecasting of housing value using dependence modelling