yusuke1997/dblp-id-title huggingface dataset:
Discussion and review on evolving data streams and concept drift adapting
Adaptive stream processing on edge devices through active inference
A deep learning approach for host-based cryptojacking malware detection
AnyNovel: detection of novel concepts in evolving data streams
Deep learning for efficient and multi-labelled classification of synthetic aperture radar images
Evolving classification of UNIX users' behaviors
A comparative analysis of heterogeneity in road accident data using data mining techniques
Discovering sentiment potential in Twitter conversations with Hilbert-Huang spectrum
Evolving medical image classification: a three-tiered framework combining MSPLnet and IRNet-VGG19
Adaptive systems for unsupervised speaker tracking and speech recognition
Evolving fuzzy classification for human-centered explainable learning analytics in virtual environments
Fuzzy logic, neural-fuzzy network and honey bees algorithm to develop the swarm motion of aerial robots
Hunger games search based deep convolutional neural network for crop pest identification and classification with transfer learning
Towards smarter mobility: a Grey Wolf Optimization-based incremental extreme learning machine framework for explainable bike-sharing demand forecasting
Deep reinforcement learning with positional context for intraday trading
Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment
A boosted sine cosine algorithm with dimension learning-based search and terminal replacement mechanism for optimization and engineering applications
An efficient real-time stock prediction exploiting incremental learning and deep learning
A comparative study of feature selection methods for binary text streams classification
Energy-efficient clustering method for wireless sensor networks using modified gravitational search algorithm
Backpropagation to train an evolving radial basis function neural network
Wireless sensor deployment scheme for cost-effective smart farming using the ABC-TEEM algorithm
A novel real-time design for fighting game AI
The power laws: Zipf and inverse Zipf for automated segmentation and classification of masses within mammograms
Design of an iterative method for enhanced disease detection and feature selection using particle swarm optimization, genetic algorithms, and convolutional neural networks
Science4Fashion: an end-to-end decision support system for fashion designers
Csa-gru: a hybrid CNN and self attention GRU for human identification using ear biometrics
Modified residual networks for severity stage classification of diabetic retinopathy
Online network traffic classification with incremental learning
Hybrid intelligent modeling of wild fires risk
Adaptive genetic algorithm-optimized temporal convolutional networks for high-precision ship traffic flow prediction
Attention-based hand semantic segmentation and gesture recognition using deep networks
A novel differential evolution algorithm integrating opposition-based learning and adjacent two generations hybrid competition for parameter selection of SVM
Advancing object detection performance: random replacement one-one optimized convolutional LeNet algorithm with novel strategies for improved efficiency
A review of online supervised learning
A new hybrid incremental learning system for an enhanced KNN algorithm (hoKNN)
Application of electronic tongue combined with meta-learning and contrastive learning dual aggregation network for rapid detection of rice origins
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames
Introduction to the special issue on handling concept drift in adaptive information systems
Real-time algorithm for changes detection in depth of anesthesia signals
Steady-state visual evoked potential (SSEVP) from EEG signal modeling based upon recurrence plots
Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network
A machine learning approach for asperities' location identification
Batch-enabled randomized parameter tuning for improved metaheuristic performance
An effective shunt active power filter based on novel binary multilevel inverter and optimal type-2 fuzzy system to accurately mitigate harmonic currents
A novel approach for classifying LEV motor bearing faults using a PSO-optimized CNN model and parameters based on transfer learning
A diagnosis and treatment of liver diseases: integrating batch processing, rule-based event detection and explainable artificial intelligence
The competition and cooperation strategy game of patent technology innovation among enterprises under closed loop supply chain
High gain circular slot MIMO antenna for Wi-Max and WLAN application with minimum ECC value
Very deep fully convolutional encoder-decoder network based on wavelet transform for art image fusion in cloud computing environment
Screening of the alterations in qualitative characteristics of grape under the impacts of storage and harvest times using artificial neural network
Meta-heuristic algorithms for influence maximization: a survey
Single-pass active learning with conflict and ignorance
Multiple traffic sign detection based on the artificial bee colony method
CCT-DOSA: a hybrid architecture for road network extraction from satellite images in the era of IoT
Experimental assessment and design of multiple model predictive control based on local model networks for industrial processes
A Valence-Totaling Model for Vietnamese sentiment classification
Evolving spiking neural network - a survey
Chest disease radiography in twofold: using convolutional neural networks and transfer learning
Comparing typhoon intensity prediction with two different artificial intelligence models
Fast and efficient exception tolerant ensemble for limited training
Adaptive partition of unity networks (APUNet): a localized deep learning method for solving PDEs
Know-How: a design pattern for generic log adapter
Data mining approach for energy efficiency improvements in a utilities supply on a petrochemical plant
Canny edge detector improvement using an intelligent ants routing
Neural network based CT-Canny edge detector considering watermarking framework
Speech emotion classification using feature-level and classifier-level fusion
Learning of operator hand movements via least angle regression to be teached in a manipulator
Incremental quantile estimation
Creating an AI fashioner through deep learning and computer vision
Evolving and intelligent systems applications special issue
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification
Research on intelligent collision avoidance decision-making of unmanned ship in unknown environments
Simultaneous feature selection and SVM optimization based on fuzzy signature and chaos GOA
Estimates of residential building energy consumption using a multi-verse optimizer-based support vector machine with k-fold cross-validation
Advanced fault detection and classification in high voltage transmission lines using deep learning integration
A wild horse-assisted decentralized control strategy for a PV-battery energy storage system in a DC microgrid
Sustainable mobility leveraging on 5G mobile communication infrastructures in the context of smart city operations
Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems
Block-based noise variance estimation algorithm in blurred and noisy images with its application to motion deblurring
Generalized smart evolving fuzzy systems
A dedicated state space for power system modeling and frequency and unbalance estimation
A new type of distance metric and its use for clustering
Calculating production by using short term demand forecasting models: a case study of fuel supply system
Towards improvement of baseline performance for regression based human pose estimation
Epileptic seizures identification with autoregressive model and firefly optimization based classification
Cubic graph representation of concept lattice and its decomposition
Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data
Adaptive neuro-fuzzy technique for performance tuning of database management systems
Recursive methods for updating consequent parameters in evolving fuzzy systems: a comprehensive review with computational experiments
Optimizing kernel possibilistic fuzzy C-means clustering using metaheuristic algorithms
Sliding mode control of fractional order nonlinear differential inclusion systems
A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems
NeuDen: a framework for the integration of neuromorphic evolving spiking neural networks with dynamic evolving neuro-fuzzy systems for predictive and explainable modelling of streaming data
A new emigrant utilization strategy for parallel artificial bee colony algorithm
Correction to: Predictive intelligence to the edge: impact on edge analytics
Artificial bee colony algorithm for enhancing image edge detection
Introducing evolving Takagi-Sugeno method based on local least squares support vector machine models
Deep adaptive fusion with cross-modality feature transition and modality quaternion learning for medical image fusion
Finding top- k elements in a time-sliding window
Improving MCI classification with multimodal hyper-connectivity and deep neural networks for early detection of Alzheimer's disease
Learning models to forecast toxicity in conversation threads by identifying potential toxic users
Intuitionistic neuro-fuzzy network with evolutionary adaptation
A new IoT recommendation system based on a dynamic ontology
Heterogeneous data format integration and conversion (HDFIC) using machine learning and IBM-DFDL for IoT
Adaptive nonparametric evolving fuzzy controller for uncertain nonlinear systems with dead zone
A comparative study of cellular automata-based digital image scrambling techniques
PDRF-Net: a progressive dense residual fusion network for COVID-19 lung CT image segmentation
Evolving fault-tolerant control models for optimized big data transmission in power systems using crossover-based chimp optimization
Leader-follower tracking in lipschitz nonlinear multi agent systems under undirected graph with noisy sinusoidal motion of the leader
Evolving learners' behavior in data mining
Optimal integration of multi-type DG in RDS based on novel voltage stability index with future load growth
Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization
Honey Badger algorithm using lens opposition based learning and local search algorithm
Recent advances on evolving intelligent systems and applications
Boundary-aware residual network for defect detection in strip steel products
Oppositional Crow Search Algorithm with mutation operator for global optimization and application in designing FOPID controller
Immune optimization approach solving multi-objective chance-constrained programming
Local thresholding of degraded or unevenly illuminated documents using fuzzy inclusion and entropy measures
Indoor fire danger tracking method with fusion of image difference and smart optimization
Object tracking based on the somatosensory system
Multi-area economic dispatching using improved grasshopper optimization algorithm
A novel online multi-label classifier for high-speed streaming data applications
Evolving sensor systems
A domain knowledge infused gated network using integrated sentiment prediction framework for aspect-based sentiment analysis
Quick continual kernel learning on bounded memory space based on balancing between adaptation and forgetting
Retraction Note: Optimization of a building energy performance by a multi-objective optimization, using sustainable energy combinations
DEMD-IoT: a deep ensemble model for IoT malware detection using CNNs and network traffic
EANN 2012: exploratory analysis of mobile phone traffic patterns using 1-dimensional SOM, clustering and anomaly detection
Lagrange stability of inertial type neural networks: A Lyapunov-Krasovskii functional approach
Design optimization of the complementary voltage controlled oscillator using a multi-objective gravitational search algorithm
Chimp optimization algorithm in multilevel image thresholding and image clustering
Online self-evolving fuzzy controller with global learning capabilities
Optimizing path reasoning scheme to improve conversational recommendation system
Data base definition and feature selection for the genetic generation of fuzzy rule bases
MONDE: a method for predicting social network dynamics and evolution
Multichannel KHMF for speech separation with enthalpy based DOA and score based CNN (SCNN)
A novel interval type-2 fuzzy Kalman filtering and tracking of experimental data
A robust intrusion detection framework: CapsuleLSTM-TransNet with OLPO for network traffic analysis
CAD-CKD: a computer aided diagnosis system for chronic kidney disease using automated BiGSqENet in the Internet of Things platform
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks
Optimal static and dynamic transmission network expansion planning
COVID-19 chest CT scan image segmentation based on chaotic gravitational search algorithm
Multi Kernel Polar Code using Nut cracker optimization based GAN for Successive Cancellation Decoder to attain low latency and high efficiency
Evolving security measures for IoT medical data in cloud environments
Adaptive bidding in combinatorial auctions in dynamic markets
Grasshopper optimization algorithm utilized Xilinx controller for maximum power generation in photovoltaic system
Application of neural network and fuzzy model to grinding process control
A novel synergistic fibroblast optimization based Kalman estimation model for forecasting time-series data
A novel metaheuristic population algorithm for optimising the connection weights of neural networks
Efficient cluster-based deep anomaly detection based traffic analysis and multi-objective optimization for smarter traffic control
An effective biometric identification system using enhanced palm texture features
A fast and light classifier for data streams
Correction: Healthcare fraud detection using adaptive learning and deep learning techniques
YOLOv8n-EggplantDiseases: an enhanced model for accurate disease detection in eggplants
A league-knock-out tournament quantum particle swarm optimization algorithm for nonlinear constrained optimization problems and applications
An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators
On-line incremental learning for unknown conditions during assembly operations with industrial robots
General controllability and observability tests for Takagi-Sugeno fuzzy systems
ResUNet + + : a comprehensive improved UNet + + framework for volumetric semantic segmentation of brain tumor MR images
A novel multilevel color image segmentation technique based on an improved firefly algorithm and energy curve
Incorporating manifold regularization into adaptive label thresholding algorithm for online semi-supervised multi-label classification
Enabling public verifiability and availability for secure data storage in cloud computing
Vaccination and isolation based control design of the COVID-19 pandemic based on adaptive neuro fuzzy inference system optimized with the genetic algorithm
Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module
Evolvable fuzzy systems: some insights and challenges
A large multiclass dataset of CT scans for COVID-19 identification
A C4.5 algorithm for english emotional classification
Recursive least square perceptron model for non-stationary and imbalanced data stream classification
A versatile package recommendation framework aiming at preference score maximization
Correlation-based modified long short-term memory network approach for software defect prediction
Adaptive confidence learning for the personalization of pain intensity estimation systems
Optimizing parameter settings for hopfield neural networks using reinforcement learning
A fuzzy connective score fusion technique for 2D and 3D palmprint authentication system
A mutual information based online evolving clustering approach and its applications
An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10)
DEES-breast: deep end-to-end system for an early breast cancer classification
Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine
Predicting missing links in complex networks using information about common neighbors and a degree of popularity
High-order spatial connectivity mining over neural graph collaborative filtering for POI recommendation in location-based social networks
Nonlinear dynamic engineering processes modeling using a lyapunov-stability based novel locally connected recurrent pi-sigma neural network: design, simulation, and a comparative study
AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19
Vessel traffic flow analysis and prediction by an improved PSO-BP mechanism based on AIS data
Evolve systems using incremental clustering approach
A butterfly optimization approach for improving the performance of futuristic internet-of-things
Honey Badger Optimization based grid interactive asymmetrical cascaded MLI with minimum voltage distortion
MFOFLANN: moth flame optimized functional link artificial neural network for prediction of earthquake magnitude
Design of spiking neural networks for blood pressure prediction during general anesthesia: considerations for optimizing results
An enhanced spider wasp optimization algorithm for multilevel thresholding-based medical image segmentation
An evolutionary approach with reliability priority to design Scada systems for water reservoirs
Incremental model selection and ensemble prediction under virtual concept drifting environments
Evolving fuzzy optimally pruned extreme learning machine for regression problems
Mathematical modeling and optimization of vision transformers for disease classification in agronomic imaging
Evolving integrated multi-model framework for on line multiple time series prediction
A human activity recognition method using wearable sensors based on convtransformer model
A hybrid machine learning framework for intrusion detection system in smart cities
Adaptive deep Runge Kutta Garson's network with node disjoint local repair protocol based multipath routing in MANET
Hybrid fuzzy inference system for evaluating lean product development practice
A new framework for grayscale ear images recognition using generative adversarial networks under unconstrained conditions
Min max kurtosis distance based improved initial centroid selection approach of K-means clustering for big data mining on gene expression data
Knowledge discovery in weather forecasting: mining fuzzy image association rules with fine-tuned CNN and fuzzy HIFP algorithm
Temperature and humidity prediction of mountain highway tunnel entrance road surface based on improved Bi-LSTM neural network
Lung tumor cell classification with lightweight mobileNetV2 and attention-based SCAM enhanced faster R-CNN
A graph neural network method for distributed anomaly detection in IoT
ARTdECOS, adaptive evolving connectionist model and application to heart rate variability
Hybrid local boosting utilizing unlabeled data in classification tasks
An augmented reality PQRST based method to improve self-learning skills for preschool autistic children
Act-Reco: Development of activity recognition framework based on deep learning in the real-time environment
A novel method for digital image copy-move forgery detection and localization using evolving cellular automata and local binary patterns
The future of wireless mesh network in next-generation communication: a perspective overview
Enhancing the chimp optimization algorithm to evolve deep LSTMs for accounting profit prediction using adaptive pair reinforced technique
Affect detection from non-stationary physiological data using ensemble classifiers
A multidimensional search algorithm based on serial computation for solving ultra-high dimensional optimization problems
On-line elimination of local redundancies in evolving fuzzy systems
Characterizing evolving behavior of context vectors for context based clustering
Online feature extraction based on accelerated kernel principal component analysis for data stream
Automatic model decomposition and reuse in an evolutionary cognitive mechanism
Smart walking assistant (SWA) for elderly care using an intelligent realtime hybrid model
Multiple phases modified termite life cycle optimizer for data clustering and engineering optimization
Dynamics of multi-point singular fifth-order Lane-Emden system with neuro-evolution heuristics
Binary Mountain Gazelle Optimizer and Binary Enhanced Mountain Gazelle Optimizer for 0-1 knapsack problems and uncapacitated facilty location problems
Online sequential ensembling of predictive fuzzy systems
Convolutive audio source separation using robust ICA and an intelligent evolving permutation ambiguity solution
Sign language mobile apps: a systematic review of current app evaluation progress and solution framework
Biometric fingerprint identification in low-quality samples using a hybrid features extraction method with deep learning
Visualization of evolving fuzzy rule-based systems
A method for predicting key bogie component status under limited and non-stationary data conditions
Improved equilibrium optimization based on Levy flight approach for feature selection
Adaptive cow movement detection using evolving spiking neural network models
Optimized ensemble deep learning approach for accurate breast cancer diagnosis using transfer learning and grey wolf optimization
Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method
A complex-valued encoding satin bowerbird optimization algorithm for global optimization
Evaluating renewable energy projects using fuzzy bipolar soft aggregation and entropy weights
Graph communities in Neo4j
Autonomous data partitioning for type-2 fuzzy set based time series
An evolutionary spectral representation for blind separation of biosignals
Multi-label active learning: key issues and a novel query strategy
Change mining in evolving fuzzy concept lattices
Location metadata extraction from Geosocial data of Road Accident using Deep Learning models
Stable parallel looped systems: a new theoretical framework for the evolution of order
Coal blocking detection method for underground transfer point conveyor based on MR-CAE
Heart disease detection using hybrid of bacterial foraging and particle swarm optimization
Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors
A domain adaptation technique through cluster boundary integration
Adaptive algorithms for YouTube channel analysis and revenue enhancement
A hybrid Fox optimization algorithm with chaotic maps and polynomial mutation for clustering applications
Evaluation of deep learning model for human activity recognition
Elastic Adaptive Dynamics Methodology on Ontology Matching on Evolving Folksonomy Driven Environment
A hybridization of grey wolf optimizer and differential evolution for solving nonlinear systems
Fuzzy and neutrosophic modeling for link prediction in social networks
Deep neural network parameter tuning using harmony search for a realistic flexible job shop scheduling
Key influencing factors in vehicle platoons: a systematic study and review
Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms
Enhancing security in cloud computing systems using hybrid feature selection and ensemble-based machine learning for intrusion detection
Evolving fuzzy-neural paradigm applied to the recognition and removal of artefactual beats in continuous seismocardiogram recordings
Producing fuzzy inclusion and entropy measures and their application on global image thresholding
A genetic algorithm for spatiosocial tensor clustering