yusuke1997/dblp-id-title huggingface dataset:
Metaheuristics with federated learning enabled intrusion detection system in Internet of Things environment
Enhancing Security and Performance in Live VM Migration: A Machine Learning-Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Environments
Reinforcement learning and blockchain-based intelligent and secure vaccine recommender system
A proposal for a 360° information system model for private health care organizations
An Ontology for In-Depth Description of User Situations in Connected Environments
Correction to "RETRACTION: Using Electroencephalogram Classification in a Convolutional Neural Network, Infer Privacy on Healthcare Internet of Things 5.0"
Diagnosis of depression level using multimodal approaches using deep learning techniques with multiple selective features
Health care intelligent system: A neural network based method for early diagnosis of Alzheimer's disease using MRI images
Multiple scale neural architecture for enhancing regions in the colour image segmentation process
Blockchain-based IoT architecture to secure healthcare system using identity-based encryption
Intelligent grey forecasting model based on periodic aggregation generating operator and its application in forecasting clean energy
Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding
Explaining 3D Semantic Segmentation Through Generative AI -Based Counterfactuals
Examination of static and 50 Hz electric field effects on tissues by using a hybrid genetic algorithm and neural network
An ordered sparse subspace clustering algorithm based on p-Norm
Developing a personal value analysis method of social media to support customer segmentation and business model innovation
An stochastic multiattribute acceptability analysis-based method for the multiattribute project portfolio selection problem with rank-level information
Sequential decision-theoretic models and expert systems
Churn prediction and social neighbour influences for different types of user groups in virtual worlds
Pose recognition of dancing images using fuzzy deep learning technique in an IoT environment
Comparing response latency and self-report methods for estimating levels of certainty in knowledge elicitation for rule-based expert systems
EBPSO: Enhanced binary particle swarm optimization for cardiac disease classification with feature selection
A heuristic-based hybrid sampling method using a combination of SMOTE and ENN for imbalanced health data
A novel YOLOv4-modified approach for efficient object detection in satellite imagery
Enriched Latent Dirichlet Allocation for Sentiment Analysis
A novel approach to detect fraud in Ethereum transactions using stacking
Soft computing applications in the field of industrial and environmental enterprises
Forecasting financial time series using a methodology based on autoregressive integrated moving average and Taylor expansion
Knowledge acquisition in incomplete fuzzy information systems via the rough set approach
A novel hybrid CNN methodology for automated leaf disease detection and classification
Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data
A Model-Based Method for an Online Diagnostic Knowledge-Based System
DST - GAT : Predicting Multi-Flight Trajectories With Spatio-Temporal Flight Correlation Dynamics Mining
Influence of codebook patterns on writer recognition: An experimental study
Lightweight Plant Disease Detection With Adaptive Multi-Scale Model and Relationship-Based Knowledge Distillation
Breast ultrasound tumour classification: A Machine Learning - Radiomics based approach
WegFormer: Transformers for weakly supervised semantic segmentation
How interesting and coherent are the stories generated by a large-scale neural language model? Comparing human and automatic evaluations of machine-generated text
A Strategic Data-Driven Roadmap for Enhancing Energy Security in Taiwan Under Industry 5.0
A Hurst-based diffusion model using time series characteristics for influence maximization in social networks
Optimising Performance Curves for Ensemble Models through Pareto Front Analysis of the Decision Space
T-CARE : temporal case retrieval system
Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization
Visualization of evolving social networks using actor-level and community-level trajectories
Research on the mechanism of knowledge and intelligence sharing in enterprises under big data: From the perspective of status-striving motivation and opinion dynamics
Gathering and evaluating innovation ideas using crowdsourcing: Impact of the idea title and the description on the number of votes in each phase of a two-phase crowdsourcing project
China's high-tech industry efficiency measurement with virtual frontier data envelopment analysis and Malmquist productivity index
A hybrid neural network approach for credit scoring
Introduction to the special issue on big data analytics with internet of things-oriented infrastructures for future smart cities
Comparison study of unsupervised paraphrase detection: Deep learning - The key for semantic similarity detection
Efficient representative pattern mining based on weight and maximality conditions
A bi-objective procedure to deliver actionable knowledge in sport services
Genetic programming for the minimum time swing up and balance control acrobot problem
A novel Orca Cultural Algorithm and applications
One-dimensional atrous conv-net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain-computer interface applications
Deming least square regressed feature selection and Gaussian neuro-fuzzy multi-layered data classifier for early COVID prediction
Hybrid genetic algorithms and case-based reasoning systems for customer classification
A double moral hazard model for inter-organizational knowledge sharing
PTXNet: An extended UNet model based segmentation of pneumothorax from chest radiography images
A feature selection enabled hybrid-bagging algorithm for credit risk evaluation
Evolving modular networks with genetic algorithms: application to nonlinear time series
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification framework using histopathological images
Autonomous driving planning and decision making based on game theory and reinforcement learning
Natural language processing with deep learning enabled hybrid content retrieval model for digital library management
Multi-focal channel attention for medical image segmentation
A scheduling algorithm for applications in a cloud computing system with communication changes
Coordination of intelligent agents in real-time search
Fruit classification by biogeography-based optimization and feedforward neural network
Multi-Pop: Enhancing user engagement with content-based multimodal popularity prediction in social media
Continuous Time Markov Chain for Smartwatch Sensors
Edge computing driven sustainable development: A case study on professional farmer cultivation mechanism
Enhancing Psychologists' Understanding Through Explainable Deep Learning Framework for ADHD Diagnosis
Prospect of large language models and natural language processing for lung cancer diagnosis: A systematic review
Comparison of different classification algorithms in clinical decision-making
Deep learning-based smishing message identification using regular expression feature generation
Medical informatization of management system for admission office under convolutional neural network
An evolving feature weighting framework for radial basis function neural network models
Predicting teamwork results from social network analysis
LightAuth: A Lightweight Sensor Nodes Authentication Framework for Smart Health System
HiSum: Hierarchical Topic-Driven Approach for Role-Oriented Dialogue Summarisation
Multi-view rank-based random forest: A new algorithm for prediction in eSports
Improving the SVM gender classification accuracy using clustering and incremental learning
Measuring environmental sustainability performance of freight transportation seaports in C hina: A data envelopment analysis approach based on the closest targets
Biometrics and quality of life of lymphoma patients: A longitudinal mixed-model approach
A fast expert system for electrocardiogram arrhythmia detection
An efficient feature selection method based on improved elephant herding optimization to classify high-dimensional biomedical data
Feature space theory in data mining: transformations between extensions and intensions in knowledge representation
Spherical fuzzy extension of AHP-ARAS methods integrated with modified k-means clustering for logistics hub location problem
A military reconnaissance network for small-scale open-scene camouflaged people detection
Dynamic recurrent neural networks for a hybrid intelligent decision support system for the metallurgical industry
Application of temporal difference learning rules in short-term traffic flow prediction
Artificial electric field algorithm with repulsion mechanism
A modified lightweight DNA-based cryptography method for internet of things devices
Coloured Petri nets and graphical animation: a proposal for a means to address problem frame concerns
Generative adversarial learning for optimizing ontology alignment
SLDCNet: Skin lesion detection and classification using full resolution convolutional network-based deep learning CNN with transfer learning
Design of highly effective multilayer feedforward neural network by using genetic algorithm
A fuzzy analytic hierarchy process approach in modular product design
Neurofuzzy models to automate the grading of old-age depression
Incorporating android conversational agents in m-learning apps
Linking AI supply chain strength to sustainable development and innovation: A country-level analysis
Usability and acceptability assessment of an empathic virtual agent to prevent major depression
Investigating the impact of training influence on employee retention in small and medium enterprises: a regression-type classification and ranking believe simplex analysis on sparse data
Chirplet transform-based machine-learning approach towards classification of cognitive state change using galvanic skin response and photoplethysmography signals
Mining of high-utility itemsets with negative utility
Assessing the competitiveness of insurance corporations using fuzzy correlation analysis and improved fuzzy modified TOPSIS
Simulation research on knowledge flow in a collaborative innovation network
Machine Learning-Based Prediction in HTTP Request-Response Cycles: Impacts on Webpage Quality Metrics
Heuristics-based sequence labelling model for finding educational domain acronym expansions
Building a pervasive social gaming experience using SocialPG
Deep learning methods to detect Alzheimer's disease from MRI: A systematic review
Contracting in Brazilian public administration: A machine learning approach
Electromagnetic optimization-based clustering algorithm
A supervised learning model to identify the star potential of a basketball player
Multi-aspect permutation tests for model selection
Endoscopy report mining for intelligent gastric cancer screening
Deriving the minimum staff number requirement for intelligent staff scheduling: An efficient constructive method and application
À-trous wavelet transform-based hybrid image fusion for face recognition using region classifiers
Network intrusion detection system: A survey on artificial intelligence-based techniques
Architecture-driven assistance for fault-localization tasks
A Novel Approach to Fire Detection With Enhanced Target Localisation and Recognition
Bargains in the diamond market? How to take advantage from online information
A chaotic grey wolf optimizer for constrained optimization problems
Cloud data analysis using a genetic algorithm-based job scheduling process
Early dropout prediction using data mining: a case study with high school students
Fourth special issue on knowledge discovery and business intelligence
Unsupervised Deep Image Prior-Based Neural Networks for Single Image Super-Resolution: Comparative Analysis and Modelling Guidelines
Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre
Deep learning-based gesture recognition for surgical applications: A data augmentation approach
Image super resolution model enabled by wavelet lifting with optimized deep convolutional neural network
MVFE - MC : Multi-View Feature Extraction and Multimodal Classifier for Concrete Defect Image Classification
ACRES: A framework for (semi)automatic generation of rule-based expert systems with uncertainty from datasets
RETRACTION: The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning
A rough set theory based method for anomaly intrusion detection in computer network systems
MBRSDTC: Design of a multimodal bioinspired model to improve resource scheduling efficiency with differential task-level constraints
Detecting the change of customer behavior based on decision tree analysis
State-Of-The-Art on Ensemble of Real Coded Genetic Algorithm Operators
Analysis of cancer data: a data mining approach
A stochastic multicriteria acceptability analysis-evidential reasoning method for uncertain multiattribute decision-making problems
ResNet-Attention model for human authentication using ECG signals
A philosophy-driven entity classification and enrichment for ontology mapping
Extractive summarization using concept-space and keyword phrase
A study on application of single nucleotide polymorphism and machine learning techniques to diagnosis of chronic hepatitis
Investigating long short-term memory approach for extremist messages detection in Kazakh language
Some applications of fuzzy logic in rule-based expert systems
Enhanced Semantic Natural Scenery Retrieval System Through Novel Dominant Colour and Multi-Resolution Texture Feature Learning Model
An agent-oriented and knowledge-based system for strategic e-procurement
Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification
New perspectives on the application of expert systems
Addressing deadlock in large-scale, complex rail networks via multi-agent deep reinforcement learning
Internet of things and machine learning-based approaches in the urban solid waste management: Trends, challenges, and future directions
Cuckoo and krill herd-based k-means++ hybrid algorithms for clustering
Meta-heuristic optimization algorithm for predicting software defects
Modeling uncertainties involved with software development with a stochastic Petri net
A knowledge sorting process for a product design expert system
How does energy transition improve energy utilization efficiency? A case study of China's coal-to-gas program
Development methodologies for ontology-based knowledge management systems: A review
Lightweight convolutional neural network architecture design for music genre classification using evolutionary stochastic hyperparameter selection
An intelligent sustainable efficient transmission internet protocol to switch between User Datagram Protocol and Transmission Control Protocol in IoT computing
Fuzzy sliding mode control of a finger of a humanoid robot hand
Welcome to Volume 27, Issue 1
Edge-featured graph attention network with dependency features for causality detection of events
An image watermark removal method for secure internet of things applications based on federated learning
Management and intelligent control of in-flight fuel distribution in a commercial aircraft
Flight scheduling incorporating bad weather conditions through big data analytics: A comparison of metaheuristics
Two-level pruning based ensemble with abstained learners for concept drift in data streams
Reduction of financial tick big data for intraday trading
User-centred design and educational data mining support during the recommendations elicitation process in social online learning environments
A fuzzy aggregation approach to group decision-making based on centroid measurement
Integrated approach of cognitive maps and neural networks using qualitative information on the World Wide Web: the KBNMiner
BWOA based metaheuristic approach for uncertain nonlinear milling CNC machine system
Trend analysis and forecasting of publication activities by Indian computer science researchers during the period of 2010-23
Emotion-aware polarity lexicons for Twitter sentiment analysis
Using edit distance to analyze card sorts
Preliminary evaluation of electroencephalographic entrainment using thalamocortical modelling
Classification by clustering using an extended saliency measure
Periodicity Variations Modelling Based on 2D Multi-Scale Patch for Multivariate Time Series Forecasting Using Improved MLP and Depthwise Separable Convolution
Advancing Disability Healthcare Solutions Through Privacy-Preserving Federated Learning With Theme Framework
Atrial fibrillation detection using Poincare geometry and heart beat intervals
Method of classifier selection using the genetic approach
Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C-means clustering intelligent algorithm
Towards Clustering of Incomplete Mixed-Attribute Data
Intelligent information processing in human resource management: an implementation case in China
Multilingual bi-encoder models for biomedical entity linking
Context-based email classification model
Some novel q -rung orthopair fuzzy similarity measures and entropy measures with their applications
Expert system for nuclear power plant accident diagnosis using a fuzzy inference method
Control methodologies for vibration control of smart civil and mechanical structures
Multi-level reranking approach for bug localization
Seamless connectivity with 5G enabled unmanned aerial vehicles base stations using machine programming approach
Unlabelled extra data do not always mean extra performance for semi-supervised fault prediction
An experiment for showing some kind of artificial understanding
SRAD: Autonomous Decision-Making Method for UAV Based on Safety Reinforcement Learning
GA-based feature selection method for oversized data analysis in digital economy
Predictive maintenance for offshore oil wells by means of deep learning features extraction
Overlapping community detection in complex networks using fuzzy theory, balanced link density, and label propagation
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection
Statistical and signal-based network traffic recognition for anomaly detection
Semantic Role Labelling: A Systematic Review of Approaches, Challenges, and Trends for English and Indian Languages
Categorizing approaches combining rule-based and case-based reasoning
A novel maritime risk assessment model incorporating a fuzzy rule-based approach
GRU-GBM: A combined intrusion detection model using LightGBM and gated recurrent unit
Machine learning-based classification of multiple heart disorders from PCG signals
Recent trends and advances in machine learning challenges and applications for industry 4.0
Expert systems: Special issue on "New trends and Innovations in Intelligent Distributed Computing"
Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials
A knowledge-based genetic algorithm for a capacitated fuzzy p-hub centre network under uncertain information
Incrementally updating a hybrid rule base based on empirical data
Neutrosophic structured element
Challenges and vulnerability evaluation of smart cities in IoT device based on cybersecurity mechanism
Privacy preserving security using multi-key homomorphic encryption for face recognition
Development of some techniques for solving system of linear and nonlinear equations via hybrid algorithm
An experimental comparison of metaheuristic frameworks for multi-objective optimization
Pulmonary nodule diagnosis using dual-modal supervised autoencoder based on extreme learning machine
Unsupervised feature selection for interpretable classification in behavioral assessment of children
A proposed expert system for word sense disambiguation: deductive ambiguity resolution based on data mining and forward chaining
Partial ordering of information granulations: a further investigation
An improved model for sentiment analysis on luxury hotel review
PC-Based User Continuous Authentication in the Artificial Intelligence Method and System Using the User's Finger Stroke Characteristics
An autonomous service-platform to support distributed ontology-based context-aware agents
An improved approach to medical data sets classification: artificial immune recognition system with fuzzy resource allocation mechanism
Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets
A robust and efficient convolutional deep learning framework for age-invariant face recognition
Feedback Artificial Tree-Anti Corona Virus Optimization enabled deep learning for detecting autism spectrum disorder
Optimised Multilevel Image Thresholding Leveraging Enhanced Elephant Herding and Symbiotic Organisms Search
Deep learning based one step and multi-steps ahead forecasting blood glucose level
Three Algorithms for Parallel Graph Summarization
A case-based reasoning approach to derive object-oriented models from software architectures
A new feature extraction approach for script invariant handwritten numeral recognition
Music genre recognition using convolutional recurrent neural network architecture
RETRACTION: The Construction of Enterprise's Financial Supply Chain Management Under Blockchain Technology
Neural network analysis and the characteristics of market sentiment in the financial markets
RETRACTION: A Predictive Typological Content Retrieval Method for Real-time Applications Using Multilingual Natural Language Processing
Clean-label poisoning attacks on federated learning for IoT
A novel completeness definition of event logs and corresponding generation algorithm
A study on how social media influences on impulsive buying
Using simple scenarios for wheelchair driving assistance
A hybrid knowledge-based system applied to epidemic screening
High performance accelerators for deep neural networks: A review
Iterative support vector machine with guaranteed accuracy and run time
An intelligent hybrid approach for hepatitis disease diagnosis: Combining enhanced k-means clustering and improved ensemble learning
An association model based reasoning method for individualized service recommender
Positioning push-pull boundary in a hesitant fuzzy environment
Exploring transformer models for sentiment classification: A comparison of BERT, RoBERTa, ALBERT, DistilBERT, and XLNet
A knowledge-based approach to maintenance project planning
Human muscle rigidity identification by human-robot approximation characteristics framework on internet of things platform
The design of supervisory rule-based control in the operating theatre via an anaesthesia simulator
Interpretable Machine Learning for Age-at-Death Estimation From the Pubic Symphysis
Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals
Fuzzy torque distribution control for a parallel hybrid vehicle
Quantum-inspired genetic programming model with application to predict toxicity degree for chemical compounds
Authority updating: An expert authority evaluation algorithm considering post-evaluation and power indices in social networks
Fuzzy predictive PI control for processes with large time delays
Optimizing a bi-objective vehicle routing problem that appears in industrial enterprises
RETRACTION: An Improved Model for Sentiment Analysis on Luxury Hotel Review