yusuke1997/dblp-id-title huggingface dataset:
A metal electrorefining cell condition identification method with entropy-weighted pseudo labeling in label scarcity scenarios
PBMA: Enhancing 3D point cloud tracking with Point-to-Box Motion Augmentation
M2KGRL: A semantic-matching based framework for multimodal knowledge graph representation learning
Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models
Mining customer knowledge to implement online shopping and home delivery for hypermarkets
VSQ: Enabling efficient and verifiable similarity queries in blockchain databases
Fast optimised ridesharing: Objectives, reformulations and driver flexibility
A consensus-based group decision-making method for multidisciplinary team meeting under q-rung orthopair fuzzy environment
Symbiotic Organisms Search Algorithm for multilevel thresholding of images
Integrated optimization approach to cell formation, cell layout, and group scheduling for dynamic cellular manufacturing system
A power line segmentation model in aerial images based on an efficient multibranch concatenation network
A real-time cyber-physical co-simulation platform for integrated aero-electromechanical virtual inertia control of large grid-connected wind turbine
Predicting time series of railway speed restrictions with time-dependent machine learning techniques
A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation
Low-rank persistent probability representation for higher-order role discovery
Gravelly soil uniformity identification based on the optimized Mask R-CNN model
A DDDAMS-based planning and control framework for surveillance and crowd control via UAVs and UGVs
DOG-ADTCP: A new feature descriptor for protection of face identification system
Exploiting dynamic spatio-temporal correlations for origin-destination demand prediction
Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition
Discovering key factors and causalities impacting bridge pile resistance using Ensemble Bayesian networks: A bridge infrastructure asset management system
Truss optimization with dynamic constraints using a particle swarm algorithm
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
A multilayer perceptron-based medical decision support system for heart disease diagnosis
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory
Live streaming recommendation based on multiple types of repeated behaviors
Patch distance based auto-encoder for industrial anomaly detection
Large-scale online learning of implied volatilities
On the generalized k-cosine arithmetic-mean curvature for multi-scale corner detection
GRASP algorithm for the unrelated parallel machine scheduling problem with setup times and additional resources
Web-based remote human pulse monitoring system with intelligent data analysis for home health care
A review: Knowledge reasoning over knowledge graph
Choquet integral-based hierarchical networks for evaluating customer service perceptions on fast food stores
Corrigendum to "Solution of economic dispatch problems by seeker optimization algorithm" by Binod Shaw et al. "Expert Systems with Applications", 39 January (2012) 508-519
Conception of complex probabilistic neural network system for classification of partial discharge patterns using multifarious inputs
Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work
Hybrid image splicing detection: Integrating CLAHE, improved CNN, and SVM for digital image forensics
Constructing and applying an improved fuzzy time series model: Taking the tourism industry for example
Object feedback and feature information retention for small object detection in intelligent transportation scenes
Ranking-based instance selection for pattern classification
CG-TRAN: A novel multi-label retinal disease classification model with partially known pathologies
A new linguisitic three-way decision model for multi-attribute group decision making problems under inconsistent group opinions
RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism
Exploring the feasibility and sensitivity of deep reinforcement learning controlled traffic signals in bidirectional two-lane road work zones
Hybrid CNN-MLP architecture data-driven airflow parameters perception in underground metal mine
Research intelligence involving information retrieval - An example of conferences and journals
A two-echelon location-routing model for designing recycling logistics networks with profit: MILP and heuristic approach
Intelligent Asset Allocation using Predictions of Deep Frequency Decomposition
Mining social lending motivations for loan project recommendations
A multidimensional approach for CSR assessment: The importance of the stakeholder perception
Cross-domain endoscopic image translation and landmark detection based on consistency regularization cycle generative adversarial network
DRA: A data reconstruction attack on vertical federated k-means clustering
Framework for syntactic string similarity measures
Long-term epileptic EEG classification via 2D mapping and textural features
Efficient Refined UNets: Efficient segmentation networks for boundary-aware cloud and shadow detection
Activity recognition with weighted frequent patterns mining in smart environments
Compact fuzzy association rule-based classifier
Fault Tree Analysis of chemical cargo contamination by using fuzzy approach
Formally analysing the concepts of domestic violence
Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI
Semi-supervised anomaly detection for visual quality inspection
LiDAR-Camera joint obstacle detection algorithm for railway track area
Experimental analysis of heuristic solutions for the moving target traveling salesman problem applied to a moving targets monitoring system
Improving cash logistics in bank branches by coupling machine learning and robust optimization
Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection
Content suppression mechanisms-based recommendation systems
Optimizing lung cancer classification using transformer and Gooseneck Barnacle Optimization
Breast DCE-MRI segmentation for lesion detection using Chimp Optimization Algorithm
Predictive modeling and multi-objective optimization of screw whirling milling based on ISSA-BP embedded NSGA-III algorithm
Note on "replenishment run time problem with machine breakdown and failure in rework"
Hierarchical reasoning based on perception action cycle for visual question answering
Design of a replenishment system for a stochastic dynamic production/forecast lot-sizing problem under bullwhip effect
Modeling personalized representation for within-basket recommendation based on deep learning
GO-DBN: Gannet Optimized Deep Belief Network Based wavelet kernel ELM for Detection of Diabetic Retinopathy
Truck-multidrone same-day delivery strategies: On-road resupply vs depot return
An approach to microalgae identification based on joint optimization model of slicing and detection
Predictive maintenance for critical infrastructure
CSRNet: Cascaded Selective Resolution Network for real-time semantic segmentation
Risk evaluation of green components to hazardous substance using FMEA and FAHP
Self-adaptive interval type-2 neural fuzzy network control for PMLSM drives
A survey of safe landing zone detection techniques for autonomous unmanned aerial vehicles (UAVs)
Unsupervised feature selection using an improved version of Differential Evolution
Partial reinforcement optimizer: An evolutionary optimization algorithm
A hybrid algorithm coupling genetic programming and Nelder-Mead for topology and size optimization of trusses with static and dynamic constraints
River ecosystem health assessment in the Qinghai-Tibet Plateau: A novel hybrid method based on artificial intelligence and multi-source data fusion
Developing a business failure prediction model via RST, GRA and CBR
AirLock: Unlock in-air via hand rotation recognition
Fusion of multivariate time series meteorological and static soil data for multistage crop yield prediction using multi-head self attention network
Phase equilibria prediction of solid solute in supercritical carbon dioxide with and without a cosolvent: The use of artificial neural network
A multi-task optimization algorithm via reinforcement learning for multimodal multi-objective optimization
A fuzzy logic feedback filter design tuned with PSO for L 1 adaptive controller
Fault Detection and Diagnosis in dynamic systems using Weightless Neural Networks
Effective diagnosis of heart disease through neural networks ensembles
Temporal-relational graph neural network for nearshore seawater quality parameters multivariate multi-step prediction and correlation modelling
Ontology-based description of functional design knowledge and its use in a functional way server
A blog article recommendation generating mechanism using an SBACPSO algorithm
Validation of biochemical laboratory results using the DNSev expert system
A time synchronization attack detection framework for communication base stations featuring ultra-low false alarm rate and balanced detection speed
Portfolio optimization with return prediction using deep learning and machine learning
ICSA: Intelligent chatbot security assistant using Text-CNN and multi-phase real-time defense against SNS phishing attacks
A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optimization
Span-level emotion-cause-category triplet extraction via table-filling
Prioritizing and aggregating interacting requirements for product-service system development
Predicting adherence to ecological momentary assessments
Density-based reliable and robust explainer for counterfactual explanation
Hybrid multi-document summarization using pre-trained language models
Shrinking for success: Multimodal dimensionality reduction for sustainable recommender systems
Automatic expert system for weeds/crops identification in images from maize fields
A framework on the right kernel and Lattice verses scale of data for better classification in Self organising map
A novel twin-center intuitionistic fuzzy large margin classifier with unified pinball loss for improving the performance of E-noses system
A fault diagnosis approach using improved multiscale fluctuation Rényi dispersion entropy and optimized binary tree LSTSVM
Orthogonal parametric non-negative matrix tri-factorization with α-divergence for co-clustering
A negotiation framework for heterogeneous group recommendation
The investigation of effects of digital proofing systems used in colour management on print quality with neural networks
Conversational recommender systems techniques, tools, acceptance, and adoption: A state of the art review
Collaborative logistics pickup and delivery problem with eco-packages based on time-space network
Financial fraud detection using graph neural networks: A systematic review
Multi-view and Multi-level network for fault diagnosis accommodating feature transferability
Revisiting the supplier selection problem: An integrated approach for group decision support
Regularization methods for sparse ESG-valued multi-period portfolio optimization with return prediction using machine learning
QoS-aware web services composition using GRASP with Path Relinking
End-to-end automated speech recognition using a character based small scale transformer architecture
A review of algorithms for surface defect detection in welds based on machine learning
StealthPhisher: A defensive framework against phishing attack using hybrid deep learning and GenAI
Text representation for direction prediction of share market
Emergency relief network design under ambiguous demands: A distributionally robust optimization approach
Heterogeneous graph knowledge tracing with novel contrastive view and meta-path contexts
Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting
Formal verification of blockchain driven packet management in congested network using Event B
A scheduling decision support model for minimizing the number of drones with dynamic package arrivals and personalized deadlines
A network analysis of the value migration process on the financial market. The effect of value migration network structure on stock returns
Fast fuzzy subsequence matching algorithms on time-series
Effective traffic density recognition based on ResNet-SSD with feature fusion and attention mechanism in normal intersection scenes
A multi-objective evolutionary approach for generator scheduling
Protecting the interests of owners of intelligent fault diagnosis models: A style relationship-preserving privacy protection method
Collaborative filtering based on iterative principal component analysis
Feature decision-making ant colony optimization system for an automated recognition of plant species
MVim: A high-accuracy, lightweight neural network for real-time driver behavior recognition
Swarm Intelligence applied in synthesis of hunting strategies in a three-dimensional environment
Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL Model: P-SERVQUAL 4.0
Fuzzy c-means clustering based active contour model driven by edge scaled region information
A hybrid approach to classifying Wikipedia article quality flaws with feature fusion framework
Enhancing polymer electrolyte membrane fuel cell system diagnostics through semantic modelling
Heuristic method on solving an inventory model for products with optional components under stochastic payment and budget constraints
A velocity-domain MAPPO approach for perimeter defensive confrontation by USV groups
MLIBT: A multi-level improvised binarization technique for Tamizhi inscriptions
Semi-supervised learning for ECG classification without patient-specific labeled data
Online burst detection in water distribution networks based on dynamic shape similarity measure
A parallelized DPPQN based Expert System method and implementation
Principles for small-unit sUAS tactical deployment from a combat-simulating agent-based model analysis
Interval set clustering
Fuzzy rule-based system for the economic analysis of RFID investments
A local random walk model for complex networks based on discriminative feature combinations
Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS
An information retrieval benchmarking model of satisficing and impatient users' behavior in online search environments
Assessment of data quality in accounting data with association rules
FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection
Model-based diversity-driven learn-to-rank test case prioritization
A rule dynamics approach to event detection in Twitter with its application to sports and politics
A probabilistic machine learning framework for daily extreme events forecasting
Multi-granularity physicochemical-inspired molecular representation learning for property prediction
A genetic algorithm based nonlinear grey Bernoulli model for output forecasting in integrated circuit industry
IMWMOTE: A novel oversampling technique for fault diagnosis in heterogeneous imbalanced data
A deep neural network approach towards real-time on-branch fruit recognition for precision horticulture
Graph signal processing meets machine learning: Multi-scale spatial-temporal ensemble learning methodology for air quality forecasting
MVCT image enhancement using reference-based encoder-decoder convolutional neural network
Relative uniqueness or uniqueness? A new cross-efficiency evaluation approach with weight priority strategy
Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography
Graph Attention Networks For Anomalous Drone Detection: RSSI-Based Approach with Real-world Validation
Vessel-guided and graph-based retinal vessel junction detection and classification
Knowledge-based linguistic equations for defect detection through functional testing of printed circuit boards
A new PROMETHEE-based approach applied within a framework for conflict analysis in Evidence Theory integrating three conflict measures
A fairer assessment of DMUs in a generalised two-stage DEA structure
Feature selection using fuzzy entropy measures with similarity classifier
Social media analysis by innovative hybrid algorithms with label propagation
Wastewater treatment monitoring: Fault detection in sensors using transductive learning and improved reinforcement learning
Speaker identification combining role knowledge graph correction and contextual block attention
An intelligent scheduling scheme for real-time traffic management using Cooperative Game Theory and AHP-TOPSIS methods for next generation telecommunication networks
Multiple criteria decision support system for customer segmentation using a sorting outranking method
Robust job shop scheduling problem: Mathematical models, exact and heuristic algorithms
Reconstruction of shredded document based on image feature matching
Assessing shoring strategies based on efficiency
Multi-objective optimization of analog integrated circuit placement hierarchy in absolute coordinates
A deceptive review detection framework: Combination of coarse and fine-grained features
IC-GAN: An Improved Conditional Generative Adversarial Network for RGB-to-IR image translation with applications to forest fire monitoring
Data-driven early fault diagnostic methodology of permanent magnet synchronous motor
Development of ECG beat segmentation method by combining lowpass filter and irregular R-R interval checkup strategy
Multiple attention segmentation-based fringe order correction for overlapping object 3D shape reconstruction
Expert system for extracting keywords in educational texts and textbooks based on transformers models
Multi-level production planning in a petrochemical industry using elitist Teaching-Learning-Based-Optimization
A focal-aware cost-sensitive boosted tree for imbalanced credit scoring
An expert system for an emergency response management in Networked Safe Service Systems
Clustering support vector machines for protein local structure prediction
Student modeling approaches: A literature review for the last decade
Commonsense knowledge powered heterogeneous graph attention networks for semi-supervised short text classification
An integrated artificial neural network algorithm for performance assessment and optimization of decision making units
Two-layer random forests model for case reuse in case-based reasoning
Active contour model with adaptive weighted function for robust image segmentation under biased conditions
The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research
Federated learning meets remote sensing
Urban rail transit disruption management based on passenger guidance and extended bus bridging service considering uncertain bus running time
Multi-classification assessment of bank personal credit risk based on multi-source information fusion
LLMCL-GEC: Advancing grammatical error correction with LLM-driven curriculum learning
Multilevel attention imitation knowledge distillation for RGB-thermal transmission line detection
A direct solution approach to fuzzy mathematical programs with fuzzy decision variables
The design of cognitive maps: A study in synergy of granular computing and evolutionary optimization
Accelerating the Miller-Tucker-Zemlin model for the asymmetric traveling salesman problem
Ensemble based sensing anomaly detection in wireless sensor networks
An ergonomic zone polyhedral representation-based mathematical program to prevent work-Related musculoskeletal risks
A color image watermarking scheme based on artificial immune recognition system
New approach in quantification of emotional intensity from the speech signal: emotional temperature
A genetic programming model for bankruptcy prediction: Empirical evidence from Iran
Beta control charts for monitoring fraction data
Hybrid microblog recommendation with heterogeneous features using deep neural network
Prediction of stress intensity factors in pavement cracking with neural networks based on semi-analytical FEA
A three-stage approach for aircraft line maintenance personnel rostering using MIP, discrete event simulation and DEA
Enhanced edge detection of harmful algal Blooms using diffusion probability models and Sobel-convolutional attention mechanisms
Multi-structural view knowledge distillation for node influence prediction in complex networks
Branch-and-bound and simulated annealing algorithms for a two-agent scheduling problem
Hybrid ensemble framework with self-attention mechanism for social spam detection on imbalanced data
A differential evolution with autonomous strategy selection and its application in remote sensing image denoising
Is taking natural log superior to not? - Using a characteristics oriented fuzzy Hopfield neural network to identify probability density functions
A novel diagnostic framework based on vibration image encoding and multi-scale neural network
M-AdaBoost-A based ensemble system for network intrusion detection
Bagged textural and color features for melanoma skin cancer detection in dermoscopic and standard images
KBCNet: Independently keypoint learning for Small Object Semantic Correspondence
Improved solution strategies for dominating trees
On the local convergence of GANs with differential Privacy: Gradient clipping and noise perturbation
LAPNet: A lightweight adaptive patch network for measuring water cut in oil-water two-phase flow
Experiment-based affect heuristic using fuzzy rules and Taguchi statistical method for tuning complex systems
Characterization of renal tumours based on Raman spectra classification
Self-supervised learning for hotspot detection and isolation from thermal images
Exponential stability of discrete-time switched neural networks via improved asymmetric functionals
Structural and empirical knowledge driven multi-objective evolutionary algorithm for urban drainage system design
PEGNN: Peripheral-Enhanced graph neural network for social bot detection
Applying Dempster-Shafer theory for developing a flexible, accurate and interpretable classifier
Prediction-based mean-variance portfolios with risk budgeting based on neural networks
Dual-attention pyramid transformer network for No-Reference Image Quality Assessment
An empirical validation of a neural network model for software effort estimation
An integrated framework for rainfall prediction and analysis using a Stacked Heterogeneous Ensemble Model (SHEM)
Dynamic hidden variable fuzzy broad neural network based batch process anomaly detection with incremental learning capabilities
Region-aware prediction strategy based on shared points and multiple scales for dynamic multi-objective optimization
Hierarchical agent architecture-based large-scale AGV cluster real-time motion collaboration control in dynamic and complex production environments
A hybrid random forest deep learning classifier empowered edge cloud architecture for COVID-19 and pneumonia detection
Adaptive segmentation and optimization for efficient centralizer selection and placement in oilfield drilling operations
An application of expert systems to botanical taxonomy
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools
Fileless malware threats: Recent advances, analysis approach through memory forensics and research challenges
Glaucoma diagnosis in the era of deep learning: A survey
Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com
A multi-scale model with feature recognition for the use of energy futures price forecasting
Sparse algorithms of Random Weight Networks and applications
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning