yusuke1997/dblp-id-title huggingface dataset:
A blockchain-enabled quaternion evolutionary gravitational neocognitron neural network for securing IoT healthcare data in cloud environment
Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback
eFCMG: an evolving fuzzy classifier with participatory learning and multivariable gaussian for data stream
Gradual task complexity scaling (GTCS-DRL): a deep reinforcement learning approach for training automated guided vehicle system
Reducing the number of trees in a forest using noisy features
Robust copy-move forgery detection using modified superpixel based FCM clustering with emperor penguin optimization and block feature matching
Improved precedence preservation crossover for multi-objective job shop scheduling problem
New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo
Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images
The use of time stamps in handling latency and concept drift in online learning
A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm
Lévy flight and chaos theory based gravitational search algorithm for multilayer perceptron training
Deep rule-based classifier for finger knuckle pattern recognition system
Range-free localization for GWSN using k-NN algorithm with local linear Gaussian kernel regression (KGR)
A speed FPGA hardware accelerator based FSBMA-VBSME used in H.264/AVC
Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
A novel normalization algorithm to facilitate pre-assessment of Covid-19 disease by improving accuracy of CNN and its FPGA implementation
Handwritten signature verification system using hybrid transfer learning approach
Research on the application of an improved Autoformer model integrating CNN-attention-BiGRU in short-term power load forecasting
Dynamic Clustering
A network traffic data generation model based on AOT-DDPM for abnormal traffic detection
Analyzing flight delay prediction under concept drift
On cluster validity indices with its application to interleaved radar pulse separation through fuzzy-based representation
Multivariate time series short term forecasting using cumulative data of coronavirus
Efficient malware detection based on machine learning for enhanced cloud privacy protection
Finger kunckcle patterns based person recognition via bank of multi-scale binarized statistical texture features
Correction: Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation
A binary multi-objective optimization algorithm for large-scale feature selection problems
A parametric scoring function and the associated method for interval neutrosophic multi-criteria decision-making
Interval type-2 fuzzy logic controller design for TCSC
A dynamically adapted and weighted Bat algorithm in image enhancement domain
An inventory model for controllable probabilistic deterioration rate under shortages
Self-supervised learning for medical image analysis: a comprehensive review
Semantic lexicons of English nouns for classification
Action quality assessment via moment aware network
Question answering system with text mining and deep networks
Evolving online clustering for real-time driver behavior analysis in IoT-enabled vehicles
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks
A new feature extraction scheme in wavelet transform for stego image classification
Markovian statistics on evolving systems
A robust fuzzy adaptive law for evolving control systems
Evolutionary game of inter-firm knowledge sharing in innovation cluster
Spatial shape feature descriptors in classification of engineered objects using high spatial resolution remote sensing data
Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data
An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction
Comparison of two methods of removing EOG artifacts for use in a motor imagery-based brain computer interface
Editorial of the evolving and hybrid systems' modelling special issue
Penalized ensemble feature selection methods for hidden associations in time series environments case study: equities companies in Saudi Stock Exchange Market
Fault prognosis of subsurface safety valve system with limited real data using self-adaptive neural network
An explainable approach to deep learning from CT-scans for Covid identification
A memetic animal migration optimizer for multimodal optimization
An improved ear recognition system based on efficient feature extraction and fusion techniques
Self-supervised autoencoders for clustering and classification
Multi-objective optimal operation in a micro-grid considering economic and environmental goals
The auto-correlation enhanced transformer for information diffusion prediction in social networks
Evolving hyperbox fuzzy modeling
On-line learning with minimized change of the global mapping
Applications, results and future direction (EAIS 12)
An autonomous centreless approach to chunk-wise data partitioning
Editorial on the Special Issue Innovations of Evolving-Adaptive Systems in the Era of the 4th Industrial Revolution
Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective
An hybrid soft attention based XGBoost model for classification of poikilocytosis blood cells
Application of hybrid metaheuristic with Levenberg-Marquardt algorithm for 6-dimensional magnetic localization
A fuzzy approach towards inductive transfer and human-machine interface control design
A real-time personal authentication system based on incremental feature extraction and classification of audiovisual information
Efficient extraction and evaluation of hand-crafted meta-data features for Dravidian spam SMS classification
Quantifying the role of complexity in a system's performance
AEOWOA: hybridizing whale optimization algorithm with artificial ecosystem-based optimization for optimal feature selection and global optimization
Suicidal tendencies prediction in Greek poetry
Scale-invariant object detection by adaptive convolution with unified global-local context
ERDA: Evolving Robotic Dragonfly Algorithm for target search in unknown multi-robot environment
Deep neural networks for the early diagnosis of dementia and Alzheimer's disease from MRI images
Stochastic simulation of quorum sensing in Vibrio fischeri based on P System
An interval type-2 fuzzy inference system and its meta-cognitive learning algorithm
Online variational learning of finite Dirichlet mixture models
Controller parameters tuning of water cycle algorithm and its application to load frequency control of multi-area power systems using TD-TI cascade control
Biofeedback: e-health prediction based on evolving fuzzy neural network and wearable technologies
Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition
Evolving connectionist method for adaptive audiovisual speech recognition
Simulation evaluation of a relative frequency metric for web cache replacement policies
Handling of advanced persistent threats and complex incidents in healthcare, transportation and energy ICT infrastructures
ReAd: reactive-adaptive methodology to enable evolving intelligent agents for virtual environments
A novel hybrid PSO-ACO approach with its application to SPP
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images
Tackling over-smoothing in multi-label image classification using graphical convolution neural network
Automatic design of CNN architecture based on genetic algorithm and particle swarm optimization
An improved approach of self-organising fuzzy neural network based on similarity measures
An overview on evolving systems and learning from stream data
Pixelated disparity network for hepatocellular carcinoma recognition from ultrasound images
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances
Integrated temporal partitioning and partial reconfiguration techniques for design latency improvement
Adaptive unified predictive control applied to first-order-plus-dead-time processes to eliminate unknown class of deterministic disturbance
Automatic tuning of hyperparameters using Bayesian optimization
XECryptoGA: a metaheuristic algorithm-based block cipher to enhance the security goals
Error dynamic shaping in HIV optimized drug delivery control
Combined analysis on AGC and ELD of a hybrid power system with D-WCA designed Gaussian type-2 fuzzy controller
Evolving fuzzy predictor with multivariable Gaussian participatory learning and multi-innovations recursive weighted least squares: eFMI
EGPIECLMAC: efficient grayscale privacy image encryption with chaos logistics maps and Arnold Cat
EMMCA: enhancing modified Min-Min using cuckoo search algorithm in cloud computing
Time series anomaly detection via clustering-based representation
Adaptive octopus deep transfer learning based epileptic seizure classification on field programmable gate arrays
New approach based on light enhancement and real-time dual CNN for classification of COVID-19 X-ray images
Towards continuous water stress classification in tomato plants via fuzzy Hoeffding trees and in-vivo biosensors
Fuzzy evolving linear regression trees
A new flexible pricing mechanism considering price-quality relation for cloud resource allocation
STAC-HNN: a spatio-temporal auto-correlation based location recommendation using hypergraph neural network
Optimization of bound-constrained and constrained optimization problems with interval coefficients via extended tournament differential evolution
Hybrid ACO algorithm for edge detection
Botnet detection using negative selection algorithm, convolution neural network and classification methods
Freight transportation broker agent based on constraint logic programming
Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks
An artificial immune system for offline isolated handwritten arabic character recognition
Automated skin lesion division utilizing Gabor filters based on shark smell optimizing method
Guest editorial: Evolving learning and adaptive modelling approaches to prediction, forecasting and control - preface to the special issue
From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks
Evaluation of feature learning for anomaly detection in network traffic
Negotiating in dynamic environments: time-efficient automated negotiations by means of combinatorial auctions
Evaluation of a dynamic classification method for multimodal ambiguities based on Hidden Markov Models
FTN-ResNet50: flexible transformer network model with ResNet50 for road crack detection
AO-SAKEL: arithmetic optimization-based self-adaptive kernel extreme learning for international trade prediction
A hybrid principal label space transformation-based ridge regression and decision tree for multi-label classification
Comparative analysis with topic modeling and word embedding methods after the Aegean Sea earthquake on Twitter
Dual attention-based hybrid deep learning framework for short text classification
A trust region based local Bayesian optimization without exhausted optimization of acquisition function
Swarm based automatic clustering using nature inspired Emperor Penguins Colony algorithm
Two-space interaction enhanced particle swarm optimization for tackling high-dimensional problems
An improved restricted Boltzmann Machine using Bayesian Optimization for Recommender Systems
Feedforward neural network training using intelligent global harmony search
A novel learning method for feature evolvable streams
3D NoC-enabled spiking neural networks: a high-performance computing paradigm
Dendrite ellipsoidal neurons based on k-means optimization
Fuzzy hypotheses testing using fuzzy data and confidence interval in radar decision criteria
Real-time vessel behavior prediction
Neuro-computational frameworks for non-linear stochastic wireless channels
A multicriteria fuzzy pattern recognition approach for assessing the vulnerability to drought: Mediterranean region
HC-DMAformer: hybrid convolutional-dynamic multi-level attention transformer for efficient and accurate EEG-based autism detection
Confluence metaheuristic: a novel initialization strategy for metaheuristic algorithms
Sensecor: A framework for COVID-19 variants severity classification and symptoms detection
HDPA: historical document processing and analysis framework
Dimensionality reduction in the context of dynamic social media data streams
Improving the PSO method for global optimization problems
Phase-wise injury integrated severity modeling of road accidents: a two-stage hybrid multi-criteria decision-making model
Detecting changes in the heart rate of firefighters to prevent smoke inhalation and health effects
Healthcare fraud detection using adaptive learning and deep learning techniques
New attention-gated residual deep convolutional network for accurate lung segmentation in chest x-rays
Emergence of flocking behaviors transferring previously evolved alignment robot controllers
Enhancing fault detection and diagnosis systems for a chemical process: a study on convolutional neural networks and transfer learning
A hybridization of multiple imputation and one-class bagging ensemble approach for missing value and class imbalance problem
A finger vein feature extraction network fusing global/local features and its lightweight network
Artificial bee colony optimization (ABC) for grape leaves disease detection
Uniform global asymptotic stability for nonlinear systems with delay and sampling
A hybrid probabilistic bi-sector fuzzy regression based methodology for normal distributed hydrological variable
Evolving interval-based time series clustering for streaming industrial data
Rgb-t semantic segmentation based on cross-operational fusion attention in autonomous driving scenario
Score level fusion of major and minor finger knuckle patterns based symmetric sum-based rules for person authentication
Multichannel convolutional neural network-based fuzzy active contour model for medical image segmentation
Automated forecasting model leveraging large reservoirs of randomized fuzzy cognitive maps
Damage detection in frame elements using Grasshopper Optimization Algorithm (GOA) and time-domain responses of the structure
EvolveCluster: an evolutionary clustering algorithm for streaming data
Adaptive PID controller design for wing rock suppression using self-recurrent wavelet neural network identifier
Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms
Feature dimensionality reduction via homological properties of observability
Devolutionary genetic algorithms with application to the minimum labeling Steiner tree problem
Public key authenticated encryption with multiple keywords search using Mamdani system
MiniNet: a concise CNN for image forgery detection
Nature inspired optimization algorithms: a comprehensive overview
Optimized deep learning approach for automated fault diagnosis in mobile robot used for fire-fighting application
Self-adaptive henry gas solubility optimizer for identification of solid oxide fuel cell
Improving premise structure in evolving Takagi-Sugeno neuro-fuzzy classifiers
OMGD-StarGAN: improvements to boost StarGAN v2 performance
Short-term load forecasting based on successive variational mode decomposition and multi-band feature extraction
Enhanced evolving participatory learning fuzzy modeling: an application for asset returns volatility forecasting
Deep learning-based compression and encryption of CT images for secure telemedicine applications
Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs
Cyberbullying detection and classification on social media images using Convolution Neural Networks and CB-YOLO model
Optimal Volterra-based nonlinear system identification using arithmetic optimization algorithm assisted with Kalman filter
Continual learning approaches for anomaly detection
A structure evolving learning method for fuzzy systems
Multi-area economic environmental dispatch using multi-objective squirrel search algorithm
Application of evolving fuzzy modeling to fault tolerant control
A novel under sampling strategy for efficient software defect analysis of skewed distributed data
Adaptive data augmentation for salient sentence identification in Indian judicial decisions
PolyNet-FractalNet deep feature fusion framework with modified spider monkey optimization for multi-modal biometric recognition
CRCNet: convolutional multi-layer perceptron encoder with attention module for colorectal cancer segmentation
A new approach for estimating the number of communities in complex networks using PGD-SNMTF and GA
Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling
Deep residual learning-based denoiser for medical X-ray images
Timely advances in evolving neural-based systems special issue
edmABC: an improved artificial bee colony algorithm on detecting breast cancer for mammography images
Locally application of naive Bayes for self-training
A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Unit hydrograph identification based on fuzzy regression analysis
Integrated job shop scheduling and layout planning: a hybrid evolutionary method for optimizing multiple objectives
Concept drift from 1980 to 2020: a comprehensive bibliometric analysis with future research insight
A hybrid fuzzy-PID controller based on gray wolf optimization algorithm in power system
OWA filters and forecasting models applied to electric power load time series
Evolving classification of agents' behaviors: a general approach
Deep ensembled voting framework for human activity recognition and validation on video sequences
Grouped mask region convolution neural networks for improved breast cancer segmentation in mammography images
Notes on edge detection approaches
Carbon price volatility prediction using a hybrid CEEMDAN-attention-LSTM approach
A hybrid multi-strategy SCSO algorithm for robot path planning
Super-forecasting the 'technological singularity' risks from artificial intelligence
3D convolution neural network-based person identification using gait cycles
DeepSpacy-NER: an efficient deep learning model for named entity recognition for Punjabi language
Prim based link quality and thermal aware adaptive routing protocol for IoMT using SigFox network in WBAN
Maintenance of a Bayesian network: application using medical diagnosis
Modality of teaching learning based optimization algorithm to reduce the consistency ratio of the pair-wise comparison matrix in analytical hierarchy processing
A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning
An aggregation approach to multi-criteria recommender system using genetic programming
A novel data augmentation approach for ego-lane detection enhancement
Multi-modal fusion and vision transformers for robust early AMD prediction
An adaptive deep learning approach for identification of crop-types from remote sensing images
Multi-area interconnected power system load frequency control using ELQR based state feedback gain controller
Iris data encryption based on Aztec Symbology
Generic image application using GANs (Generative Adversarial Networks): A Review
Microfluidic droplet detection for bio medical application using YOLO with COA based segmentation
A physical dynamical evolution learning model for human pose estimation network
AFLF: a defensive framework to defeat multi-faceted adversarial attacks via attention feature fusion
ACFLN: artificial chemical functional link network for prediction of stock market index
Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil
Evolving personalized modeling system for integrated feature, neighborhood and parameter optimization utilizing gravitational search algorithm
Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems
A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network
Survey of deep learning in breast cancer image analysis
Addressing concept drift to improve system availability by updating one-class data-driven models
An efficient lung disease classification using dove swarm optimization based multi-scale faster-RCNN model
Infinite impulse response systems modeling by artificial intelligent optimization methods
Adaptive and on-line learning in non-stationary environments
Investigating U-Net variants for satellite image object detection: Towards an ensemble method and performance evaluation
Ensemble of transfer learning and light-weight convolutional neural network model for an effective ear recognition system
Protecting transmission line in STATCOM integrated DFIG system using adaptive distance relay blocking scheme
Improved discrete particle swarm optimization for solving the practical sensors deployment
Automatic segmentation and detection of renal cyst using AMS-PAN and RFN-PINN approach based on ultrasound image
Power spectrum and dynamic time warping for DNA sequences classification
Motor imagery task classification using spatial-time-frequency features of EEG signals: a deep learning approach for improved performance
Fault detection in smart grids with time-varying distributed generation using wavelet energy and evolving neural networks
Middleware for task resolution and adaptation in pervasive environments
IBLStreams: a system for instance-based classification and regression on data streams
Analysis of asynchronous distributed multi-master parallel genetic algorithm optimization on CAN bus
A mapping of epilepsy's evolution: implementation of the proposed knowledge based model
Retraction Note: Optimization of FRP jacket by fractional-order pathfinder algorithm to improve the reinforced concrete frames' seismic response
A fast online learning algorithm of radial basis function network with locality sensitive hashing
Deep recurrent Gaussian Nesterovs recommendation using multi-agent in social networks
A multi-objective evolutionary approach to scheduling for evolving manufacturing systems
Identification and eradication of attacker node in a mobile ad-hoc network environment using prediction model on delay factor
An agile FCM for real-time modeling of dynamic and real-life systems
Spherical vector-based artificial gorilla troops optimization for spherical asymmetric multiple traveling salesman problem
On using density maps for the calculation of ship routes
Multi-class classification of Alzheimer's disease through distinct neuroimaging computational approaches using Florbetapir PET scans
Optimization of a building energy performance by a multi-objective optimization, using sustainable energy combinations
A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index
Applying nature-inspired optimization algorithms for selecting important timestamps to reduce time series dimensionality
ILIOU machine learning preprocessing method for depression type prediction
Automatic pectoral muscle removal in mammograms
Discrete-time Kalman filter for Takagi-Sugeno fuzzy models
Transparent rule generator random forest (TRG-RF): an interpretable random forest
A novel improved arithmetic optimization algorithm for optimal design of PID controlled and Bode's ideal transfer function based automobile cruise control system
Edge detection based on type-1 fuzzy logic and guided smoothening
Impact of displayed inventory level in a two-warehouse system for deteriorating item with discount facilities via different metaheuristic algorithms
Regular development strategy model and algorithm solution of non-renewable resources
Multi-source information diffusion model for conversation recommender system