yusuke1997/dblp-id-title huggingface dataset:
A multi-camera vision system for fall detection and alarm generation
A cascaded deep learning framework for iris centre localization in facial image
The model of Tibetan thangka sales under blockchain technology
Special section on advances and applications of problem orientation
Classification of congestive heart failure with different New York Heart Association functional classes based on heart rate variability indices and machine learning
Decomposition and recompilation of mammograms for breast tumour detection
Towards aspectual problem frames: an example
An improved hybrid model for cardiovascular disease detection using machine learning in IoT
A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images
Applying domain knowledge and social information to product analysis and recommendations: an agent-based decision support system
Detection of APTs by Machine Learning: A Performance Comparison
Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)"
Transfer Learning-Based Automatic Sentiment Annotation of a Twitter-Based Arabic Mental Illness (AMI) Dataset
New data envelopment analysis models for assessing sustainability Part 2: A static data envelopment analysis approach
Android malware analysis and detection: A systematic review
Leveraging YOLOv5s with optimization-based effective anomaly detection in pedestrian walkways
Voice pathology identification system using a deep learning approach based on unique feature selection sets
Alternating optimization to solve penalized regression-based clustering model
Determination of the effectiveness of the realization of enterprise business objectives and improvement strategies in an uncertain environment
An intelligent hybrid approach for task scheduling in cluster computing environments as an infrastructure for biomedical applications
Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods
A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing
Enhanced Electricity Forecasting for Smart Buildings Using a TCN-Bi-LSTM Deep Learning Model
Long-term LEGO therapy with humanoid robot for children with ASD
Adversarial attack vulnerability for multi-biometric authentication system
Cassava disease recognition from low-quality images using enhanced data augmentation model and deep learning
RETRACTION: The Risk Evaluation and Management of the Sports Service Supply Chain by Introducing Fuzzy Comprehensive Appraisal and Artificial Intelligence Technology
Improving answer selection with global features
Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm
Modelling of biosignal based decision making model for intracranial haemorrhage diagnosis in IoT environment
The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification
Knowledge-related challenges and solutions in GSD
Assessing interpretability of data-driven fuzzy models: Application in industrial regression problems
An ensemble artificial intelligence-enabled MIoT for automated diagnosis of malaria parasite
Deep neural network for multi-class classification of medicinal plant leaves
Artificial Intelligence Web Application Firewall for advanced detection of web injection attacks
A new method of multi-attribute group decision making based on hesitant fuzzy soft expert information
RETRACTION: The Design for Supply Chain Management of Intelligent Logistics System Using Cloud Computing and the Internet of Things
Quasi-oppositional wild horse optimization based multi-agent path finding scheme for real time IoT systems
A co-training-based approach for the hierarchical multi-label classification of research papers
Food fraud detection using explainable artificial intelligence
The use of data mining to classify Carménère and Merlot wines from Chile
On the identification and analysis of citation pattern irregularities among journals
Detection of anomalous episodes in urban Ozone maps
Plant disease detection using machine learning approaches
Scenario-based knowledge representation in case-based reasoning systems
Enhanced text classification through an improved discrete laying chicken algorithm
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks
Development of intelligent and integrated technology for pattern recognition in EMG signals for robotic prosthesis command
Hybrid intelligent technology for plant health using the fusion of evolutionary optimization and deep neural networks
A long short-term memory based Schaeffer gesture recognition system
Social network analysis for cross-evaluation in data envelopment analysis
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals
Overview of ship-design expert systems
The Challenge of Generating and Evolving Real-Life Like Synthetic Test Data Without Accessing Real-World Raw Data - A Systematic Review
RETRACTION: The Analysis of Optimized Path Selection for Management Mode of Coastal Regional Circular Economy Based on Fuzzy Decision Algorithm
Green vehicle routing problem: Metaheuristic solution with time window
A Comprehensive Review of Unimodal and Multimodal Emotion Detection: Datasets, Approaches, and Limitations
Enhancing Arabic-text feature extraction utilizing label-semantic augmentation in few/zero-shot learning
News feature and call for papers
Mitigating the Negative Transfer in Multi-Task Learning for Harmful Language Detection in Spanish and Arabic
The refined management of medical finance combined with information technology construction
Regional-based multi-module spatial-temporal networks predicting city-wide taxi pickup/dropoff demand from origin to destination
Cluster validation in clustering-based one-class classification
Deep learning based spatio-temporal hand gesture recognition system in complex environment
Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma
Computational intelligence applied to cybersecurity
Interferenceless coexistence of 6G networks and scientific instruments in the Ka-band
Data envelopment analysis and robust optimization: A review
ERIM: An ensemble of rare itemset mining and its application in the automotive industry
Domain problem-solving expert identification in community question answering
On the use of ear and profile faces for distinguishing identical twins and nontwins
Improved grey-level correlation feature and neural network model for medical resource requirement prediction
Application of visual attribute transfer technology in analysing changes in emotional expression in picture books
Performance-enhanced modified self-organising map for iris data classification
The demand effect analysis of head books and tail books in book recommendation networks
Fifth-generation fractal antenna design based on the Koch Snowflake geometry. A fractal theory application
Is tangled the new wicked?
Forward stage-wise ensemble regression algorithm to improve base regressors prediction ability: an empirical study
TOPS: A Framework for Trusted Opinion Analysis of Product Reviews Using Hybrid Deep Learning Based D2CL Filter
Efficient malware detection using hybrid approach of transfer learning and generative adversarial examples with image representation
Towards explainable metaheuristics: Feature extraction from trajectory mining
An integrated approach for aircraft turbofan engine fault detection based on data mining techniques
Study and development of hybrid and ensemble forecasting models for air quality index forecasting
A complete chronicle discovery approach: application to activity analysis
The analysis and performance evaluation of the pheromone-Q-learning algorithm
Development of Artificial Intelligence-based chatbot for smart aquafarm practices
Detecting impersonation episode using teaching learning-based optimization and support vector machine techniques
A multi-task learning based approach for efficient breast cancer detection and classification
Skeleton-Based Posture Recognition for Home Care From Virtual Unmanned Aerial Vehicle
A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions
Integrating computer vision with web-based knowledge for medical diagnostic assistance
The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis
Meaningful web annotations for humans and machines using controlled natural language
Study of haze emission efficiency based on new co-opetition data envelopment analysis
Nature-inspired artificial bee colony-based hyperparameter optimization of CNN for anomaly detection in induction motor
Exploring Metaheuristic Optimization Algorithms in the Context of Textual Cyberharassment: A Systematic Review
Heartbeats classification using QRS and T waves autoregressive features and RR interval features
Proposing an architectural framework of a hybrid knowledge-based system for production rescheduling
Toxic language detection: A systematic review of Arabic datasets
Knowledge management for administrative knowledge
Special issue editorial on emerging trends in internet of things for e-health and medical supply chain systems
Using meta-learning to predict performance metrics in machine learning problems
Optimizing time delay in cloud using enhanced multi-hold inherited maximization algorithm to reduce cost and improve bandwidth
Improve the application of reinforcement learning and multi-modal information in music sentiment analysis
Identifying professional photographers through image quality and aesthetics in Flickr
Concept drift detection and adaption framework using optimized deep learning and adaptive sliding window approach
Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data
Feature Identification Using Hypotheses of Relevance and a 2D-Cascade of SEQENS Ensembles
CRAS-CBR: Internal control risk assessment system using case-based reasoning
On fault isolation by neural-networks-based parameter estimation techniques
Third special issue on knowledge discovery and business intelligence
Hybrid input shaping and fuzzy logic-based position and oscillation control of tower crane system
NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture
Securing internet of things device data: An ABE approach using fog computing and generative AI
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features
Creating sentiment lexicon for sentiment analysis in Urdu: The case of a resource-poor language
A comparison analysis for credit scoring using bagging ensembles
The economic globalization for sustainable management of overseas trade enterprise logistics
RETRACTION: Deep reinforcement learning-based precise prediction model for Smart M-Health system
Automatic estimation of exercises' difficulty levels in a tutoring system for teaching the conversion of natural language into first-order logic
A robust hybrid artificial neural network double frontier data envelopment analysis approach for assessing sustainability of power plants under uncertainty
Uncertain location-allocation decisions for a bi-objective two-stage supply chain network design problem with environmental impacts
Colon segmentation and colonic polyp detection using cellular neural networks and three-dimensional template matching
Knowledge-based system for telecontrol of anaerobic wastewater treatment plants
Goal programming and multiple criteria data envelopment analysis combined with optimization and Monte Carlo simulation: An application in railway components
Classify nodes based on their degree distribution: A more scalable method for influence maximization
Sustainable Edge AI for Precision Agriculture: A Lightweight CNN Model for Aloe Vera Leaf Disease Diagnosis
Qualitative hesitant fuzzy group decision making: An additively consistent probability and consensus-based perspective
A Survey on Internet of Medical Things (IoMT): Enabling Technologies, Security and Explainability Issues, Challenges, and Future Directions
Multi-disease classification model using deep neural network and Strassen's rectilinear fine-tune bouncing training algorithm
Special issue on intelligent biomedical data analysis and processing
Integrated recovery system with bidding-based satisfaction: An adaptive multi-objective approach
Window data envelopment analysis approach: A review and bibliometric analysis
The design process of expert systems development: some concerns
The strongest does not attract all but it does attract the most - evaluating the criminal attractiveness of shopping malls using fuzzy logic
Application of permutation entropy and factorization network in the classification of congenital heart disease
Multi-criteria approach for handling sophisticated data transmission over gateways in blockchain and Internet of Things (IoT) federated networks
A model-driven decision support system for product risk analysis
Trajectory clustering and query processing analysis framework for knowledge discovery in cloud environment
A Supervised Variational Autoencoder for Incomplete Multi-View Classification
Allocating the fixed cost based on data envelopment analysis in view of the Shapley value
A method of automatic field of view generation and path planning for automated x-ray inspection
Learning routines over long-term sensor data using topic models
Human action recognition with sparse classification and multiple-view learning
A wavelet multifractal model for quality of life index measuring during pandemics and crises
A multiperiod hybrid decision support model for medical diagnosis and treatment based on similarities and three-way decision theory
Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study
COVID-19 diagnosis system by deep learning approaches
KDBI special issue: Explainability feature selection framework application for LSTM multivariate time-series forecast self optimization
Emotional expression in jewellery design under the background of artificial intelligence
Group decision-making analysis based on distance measures under rough environment
Feature selection for classification of oscillating time series
Neuromuscular disease detection by neural networks and fuzzy entropy on time-frequency analysis of electromyography signals
Quantification of Data Imbalance
The Quality of a Scientific Manuscript Given by a Peer-Reviewed. Report in Three Dimensions: Accessibility, Contribution and Experimentation (AccConExp)
Traditional and deep-based techniques for end-to-end automated karyotyping: A review
Designing new digital tools to augment human creative thinking at work: An application in elite sports coaching
Implementing wavelet transform/mixture of experts network for analysis of electrocardiogram beats
Special Issue: WorldCist18
Efficient customer behaviour prediction in Indian metropolitan cities for E-commerce applications
Automated sarcasm detection and classification using hyperparameter tuned deep learning model for social networks
Special issue on "advances in visual analytics and mining visual data"
A formal method for privacy-preservation in cognitive smart cities
A new method based on generative adversarial networks for multivariate time series prediction
Characterization of heart rate variability and oxygen saturation in sepsis patients
Analysis of risk factors for blood transfusion in preterm infants based on statistical analyses
6G wireless communication assisted security management using cloud edge computing
A novel quantum-inspired binary bat algorithm for leukocytes classification in blood smear
Evaluation of an interactive educational system in urban knowledge acquisition and representation based on students' profiles
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction
Water-Energy-Carbon Nexus Within the Urban Eco-Transformation of the Beijing-Tianjin-Hebei Region
An intelligent system to monitor refrigeration devices
GRDATFusion: A gradient residual dense and attention transformer infrared and visible image fusion network for smart city security systems in cloud and fog computing
Assessment of the performances of multilayer perceptron neural networks in comparison with recurrent neural networks and two statistical methods for diagnosing coronary artery disease
A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory
When geoscience meets generative AI and large language models: Foundations, trends, and future challenges
Combining wavelet-based feature extractions with relevance vector machines for stock index forecasting
Hybrid firefly particle swarm optimisation algorithm for feature selection problems
A novel end-to-end deep learning scheme for classifying multi-class motor imagery electroencephalography signals
A new chaotic Lévy flight distribution optimization algorithm for solving constrained engineering problems
Recurrent knowledge tracing machine based on the knowledge state of students
A wavelet neural network for the detection of heart valve diseases
Getting the environmental information across: from the Web to the user
A geographic information system-based model for economical and eco-friendly high-speed railway route determination using analytic hierarchy process and least-cost-path analysis
Some novel operational laws and spherical fuzzy Choquet-Frank operators and their application to MCDM
BOSS: A new QoS aware blockchain assisted framework for secure and smart healthcare as a service
An adaptive fuzzy handover triggering approach for Long-Term Evolution network
Overcoming traditional ETL systems architectural problems using a service-oriented approach
Data mining for selection of insurance sales agents
RETRACTION: SVM-based Generative Adverserial Networks for Federated Learning and Edge Computing Attack Model and Outpoising
Multi-label logo recognition and retrieval based on weighted fusion of neural features
Transformer-Based Contrastive Learning With Dynamic Masking and Adaptive Pathways for Time Series Anomaly Detection
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks
A novel class of adaptive observers for dynamic nonlinear uncertain systems
Distance-based intuitionistic multiplicative multiple criteria decision-making methods for healthcare management in West China Hospital
A hybrid recommender system based on description/dialetheic logic and linked data
Belief-rule-based expert systems for evaluation of e-government: a case study
Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification
Providing Websites with capabilities of one-to-one marketing
Signed distance-based ORESTE for multicriteria group decision-making with multigranular unbalanced hesitant fuzzy linguistic information
A embedding model for text classification
Novel approach for quantification for severity estimation of blight diseases on leaves of tomato plant
Acquiring knowledge with limited experience
MCDIP-ADMM: Overcoming overfitting in DIP-based CT reconstruction
Developing a neural network approach for intelligent scheduling in GUESS
Automating test oracles from restricted natural language agile requirements
A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT-Fog system
On the Significance of Graph Neural Networks With Pretrained Transformers in Content-Based Recommender Systems for Academic Article Classification
Opposition-based ideal gas molecular movement algorithm with Cauchy mutation, velocity clamping, and mirror operator
Fractal based automatic detection of complexity in COVID-19 X-ray images
Modelling hospital readmissions under frailty conditions for healthy aging
Developing a model semantic-based image retrieval by combining KD-Tree structure with ontology
Rough sets and maintenance in a production line
Intelligent heart disease prediction in cloud environment through ensembling
Nested Named Entity Recognition: A Survey of Latest Research
An accurate soft diagnosis method of breast cancer using the operative fusion of derived features and classification approaches
GRIMP: A Genetic Algorithm for Compression-Based Descriptive Pattern Mining
Building bagging on critical instances
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
Towards the prediction of business failure via computational intelligence techniques
Analysis of user's car parking behaviour through twitter hashtags
TS-Mixer: A lightweight text representation model based on context awareness
Building the knowledge society begins with breakfast
Four-gene signature based on machine learning filtration could predict prognosis of patients with breast cancer
SVM-based generative adverserial networks for federated learning and edge computing attack model and outpoising
Solving a class of facility location problems using genetic algorithms
Response surface methodology to tune artificial neural network hyper-parameters
Requirement prioritization framework using case-based reasoning: A mining-based approach
A code change-oriented approach to just-in-time defect prediction with multiple input semantic fusion
Dynamic efficiency evaluation of state-level business incubators in China by using a slacks-based measure approach
Big data solar power forecasting based on deep learning and multiple data sources
Model-to-model and model-to-text: looking for the automation of VigilAgent
Analysis of the environmental efficiency in China based on the DEA cross-efficiency approach under different policy objectives
A vision-based clinical analysis for classification of knee osteoarthritis, Parkinson's disease and normal gait with severity based on k-nearest neighbour
Data-driven allocation of renewables quota among regional power industries under the policy of renewable electricity standard
Business goals, user needs, and requirements: A problem frame-based view
Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques
An online expert system for fault diagnosis in hydraulic systems
Robust genetic programming-based detection of atrial fibrillation using RR intervals
COVID-19 detection based on pre-trained deep networks and LSTM model using X-ray images enhanced contrast with artificial bee colony algorithm
Linking negative herding effect to online public opinion: A new BiGADG approach for sentiment classification
Fault prediction considering threshold effects of object-oriented metrics
Expert finding by the Dempster-Shafer theory for evidence combination
RETRACTION: Adaptive Control and Supply Chain Management of Intelligent Agricultural Greenhouse by Intelligent Fuzzy Auxiliary Cognitive System
Automatic segmentation algorithm for magnetic resonance imaging in prediction of breast tumour histological grading
A data-driven method for rating management information systems journals in the same scale of the Association of Business Schools Journal Guide
Fuzzy based fast dynamic programming solution of unit commitment with ramp constraints
Generating the structural graph-based model from a program source-code using chaotic forrest optimization algorithm
Effective hybrid deep learning model for COVID-19 patterns identification using CT images
Rule-based preprocessing for data stream mining using complex event processing
On procedures
Fuzzy logic and differential evolution-based hybrid system for gesture recognition using Kinect sensor
An Evolutionary Game Study of Consumers' Low-Carbon Travel Behavior Under Carbon-Inclusive Policy
Federated Multi-Source Data Fusion for Semi-Supervised Fault Detection in District Heating Substations
A review of performance criteria to validate simulation models