yusuke1997/dblp-id-title huggingface dataset:
Thermodynamic analysis of variable speed refrigeration system using artificial neural networks
AMSFuzz: An adaptive mutation schedule for fuzzing
A distance similarity-based genetic optimization algorithm for satellite ground network planning considering feeding mode
An algorithm for improving lower bounds in dynamic time warping
Decision making with extended fuzzy linguistic computing, with applications to new product development and survey analysis
An improved method for edge detection based on interval type-2 fuzzy logic
An argumentation-oriented multi-agent system for automating the freight planning process
A decision support system for fisheries management using operations research and systems science approach
Balanced uncertainty sets for Closed-Loop supply chain Design: A Data-Driven robust optimization framework with Fairness considerations
Recent developments in the organization goals conformance using ontology
A hybrid self-adaptive sine cosine algorithm with opposition based learning
Improving the undersampling technique by optimizing the termination condition for software defect prediction
Profit scoring with machine learning in marketplace lending: Incorporating soft information
Tunnel lining crack detection method based on deformable convolution and feature fusion with image enhancement of Retinex theory
Binary butterfly optimization approaches for feature selection
A new dynamic modeling framework for credit risk assessment
A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch
Measuring entrepreneurship: Expert-based vs. data-based methodologies
IOP-CapsNet with ISEMRA: Fetching part-to-whole topology for improving detection performance of articulated instances
Knowledge-based modeling for disruption management in urban distribution
Interpretable Mamdani neuro-fuzzy model through context awareness and linguistic adaptation
Source-seeking multi-robot team simulator as container of nature-inspired metaheuristic algorithms and Astar algorithm
Effect of dimensionality reduction on stock selection with cluster analysis in different market situations
Time-varying elite sand cat optimization algorithms for engineering design and feature selection
Cryptanalysis of an image encryption algorithm using quantum chaotic map and DNA coding
Effective cluster scheduling scheme using local gravitation method for wireless sensor networks
Design and field implementation of an impact detection system using committees of neural networks
Deriving thresholds of software metrics to predict faults on open source software: Replicated case studies
Region-scalable fitting-assisted medical image segmentation with noisy labels
Breast cancer diagnosis based on hybrid SqueezeNet and improved chef-based optimizer
Towards designing risk-based safe Laplacian Regularized Least Squares
Prediction of vehicle reliability performance using artificial neural networks
Prioritized relevant effect identification for problem solving based on similarity measures
Dynamic multi-fusion spatio-temporal graph neural network for multivariate time series forecasting
Hybrid expert systems: A survey of current approaches and applications
Large-Language model (LLM)-Powered system for Situated and Game-Based construction safety training
Adaptive fuzzy convolution networks for uncertainty-aware image analysis in ambiguous environments
Fractional order time-delay multivariable discrete grey model for short-term online public opinion prediction
Slippage-robust linear features for eye tracking
A prospective study: Advances in chaotic characteristics of serum Raman spectroscopy in the field of assisted diagnosis of disease
Oversampling techniques for imbalanced data in regression
Automated cryptocurrency trading approach using ensemble deep reinforcement learning: Learn to understand candlesticks
On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media
Bezier Search Differential Evolution Algorithm for numerical function optimization: A comparative study with CRMLSP, MVO, WA, SHADE and LSHADE
Dual-branch interactive cross-frequency attention network for deep feature learning
A dynamic gradient boosting machine using genetic optimizer for practical breast cancer prognosis
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
A progressive distillation network for practical image-based virtual try-on
Assessment of renewable energy alternatives for sustainable resource policies with knowledge-based expert prioritized quantum picture fuzzy rough modelling
Minimizing a nonlinear function under a fuzzy max-t-norm relational equation constraint
GGI-DDI: Identification for key molecular substructures by granule learning to interpret predicted drug-drug interactions
An effective knowledge-based evolutionary algorithm for task assignment problem of pollination robots and spraying drones in multi-orchard scenarios
Prediction of flashover voltage of insulators using least squares support vector machines
Automatic reconstruction of overlapped cells in breast cancer FISH images
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
A novel clustering algorithm based on the extension theory and genetic algorithm
Speech emotion recognition using recurrent neural networks with directional self-attention
Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization
Fault diagnosis of ball bearings using machine learning methods
A deep integrative approach for diabetic retinopathy classification with synergistic channel-spatial and self-attention mechanism
A multi-objective particle swarm optimization for project selection problem
Construction site image dedusting via pyramid architecture based on the Taylor series
Structural equation modeling for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry
A multidimensional ensemble generalized three-way decision approach under mixed-normal hesitant fuzzy sets for evaluating IoT-blockchain integration in supply chain performance
Genetic algorithm based model for optimizing bank lending decisions
Unifying structural proximity and equivalence for enhanced dynamic network embedding
Evaluation and selection of clustering methods using a hybrid group MCDM
HQE: A hybrid method for query expansion
Rail transport network reliability with train arrival delay: A reference indicator for a travel agency in tour planning
Asynchronous federated learning system for human-robot touch interaction
Clustering of interval-valued time series of unequal length based on improved dynamic time warping
A fuzzy expert system for noise-induced sleep disturbance
TIREDDX: an integrated intelligent defects diagnostic system for tire production and service
Short-term passenger flow prediction during station closures in subway systems
AVI-Net: Audio-visual-integration inspired deep network with application to short-term air temperature forecasting
Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life
Automatic detection of user trajectories from social media posts
A multi-modal tourist trip planner integrating road and pedestrian networks
A joint FrameNet and element focusing Sentence-BERT method of sentence similarity computation
A novel classification approach based on context connotative network (CCNet): A case of construction site accidents
SXRS: An XLink-based Recommender System using Semantic Web technologies
Robust fine-tuning for low-resource NLP: Combining adversarial and metric-based learning to mitigate overfitting
An accessible implementation of interest rate models with Markov-switching
Analytic hierarchy process and data envelopment analysis: A match made in heaven
A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system
A computational system for diagnosis of depressive situations
Kinematic re-envision of haptic expertise through Bernstein's problem: A comparative analysis of stochastic and deterministic features
Integer Linear Programming for the Tutor Allocation Problem: A practical case in a British University
Image enhancement and microstructure characterization of energy dispersive X-ray spectroscopy images of blended cement pastes
FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning
Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects
Design and implementation of a fuzzy inference system for supporting customer requirements
A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides
Analyzing the forecast of tennis ball landing Points: An Interdisciplinary study of Virtual-Reality integration and Multi-Camera perspectives
A new T-S fuzzy model predictive control for nonlinear processes
An automated knowledge structure construction approach: Applying information retrieval and genetic algorithm to journal of Expert Systems with Applications
Online dictionary learning algorithm with periodic updates and its application to image denoising
Optimizing R-tree for flash memory
Towards next generation electrochemical machining controllers: A fuzzy logic control approach to ECM
A hybrid approach of differential evolution and artificial bee colony for feature selection
Autonomous rule induction from data with tolerances in customer relationship management
Improved convolutional neural networks for the bullwhip effect in supply chains
Analysis of Credal-C4.5 for classification in noisy domains
A semantic-based, distance-proportional mutation for stock classification
Machine learning and hybrid intelligence for wind energy optimization: A comprehensive state-of-the-art review
Measuring the success of retention management models built on churn probability, retention probability, and expected yearly revenues
An attention mechanism augmented CNN-GRU method integrating optimized variational mode decomposition and frequency feature classification for complex signal forecasting
Structured design, consistency analysis and failure reasoning of business workflows with activity-control templates and causal ordering
Modelling knowledge strategy for solving the DNA sequence annotation problem through CommonKADS methodology
Filter method-based feature selection process for unattributed-identity multi-target regression problem
Omni-frequency diffusion-based regional feature consistency recovery for realistic image super-resolution
Boundary constrained voxel segmentation for 3D point clouds using local geometric differences
Research and application of the flatness target curve discrete dynamic programming based on two-dimensional decision making
Identifying complaints based on semi-supervised mincuts
Hybrid genetic algorithm and association rules for mining workflow best practices
Mining frequent itemsets in data streams using the weighted sliding window model
Enhanced industrial heat load forecasting in district networks via a multi-scale fusion ensemble deep learning
Using deep learning neural networks to predict the knowledge economy index for developing and emerging economies
AENAR: An aspect-aware explainable neural attentional recommender model for rating predication
Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of type 2 diabetes mellitus
BioDR: Semantic indexing networks for biomedical document retrieval
Smart energy meter based on a long-range wide-area network for a stand-alone photovoltaic system
A novel machine learning-based proposal for early prediction of endometriosis disease
Planning the development strategy for the mobile communication package based on consumers' choice preferences
Fault tolerant control using a fuzzy predictive approach
Earned benefit maximization in social networks under budget constraint
Scheduling residency time-constrained single-armed cluster tools with two-wafer types via mixed integer programming model
A feature-free search query classification approach using semantic distance
General framework for class-specific feature selection
Multi-tier linguistic and emotional modeling for cyberbullying detection in Tamil social media
XGFu: Enhancing low-light visualization by feature and graph fusion of multiple artificial exposure images
A general ontological timetabling-model driven metaheuristics approach based on elite solutions
Current sharing of paralleled DC-DC converters using GA-based PID controllers
CRM to improve the avoidance tendency in science and engineering college in Korea
A novel fuzzy clustering approach with transition matrix for explainable evaluation of social media-based digital literacy interventions
A new data clustering algorithm based on critical distance methodology
An uncertainty-induced axiomatic foundation of the analytic hierarchy process and its implication
A coupled UAU-DKD-SIQS model considering partial and complete mapping relationship in time-varying multiplex networks
Novel trajectory privacy protection method against prediction attacks
HBoost: A heterogeneous ensemble classifier based on the Boosting method and entropy measurement
Measuring flight-destination similarity: A multidimensional approach
An algorithm to cluster data for efficient classification of support vector machines
A user-generated content-based social network large-scale group decision-making approach in healthcare service: Case study of general practitioners selection in UK
Face recognition from a single registered image for conference socializing
Supervised contrastive knowledge graph learning for ncRNA-disease association prediction
TransReg: Multi-modal medical image registration via image translation guidance
Medical decision support system for cancer treatment in precision medicine in developing countries
A scatter search algorithm for solving vehicle routing problem with loading cost
A self-supervised anomaly detection algorithm with interpretability
Candidate project selection in cross project defect prediction using hybrid method
Exploiting discourse information to identify paraphrases
Using the XCS classifier system for portfolio allocation of MSCI index component stocks
Ship pipe production optimization method for solving distributed heterogeneous energy-efficient flexible flowshop scheduling with mobile resource limitation
Enhanced multi-label feature selection considering label-specific relevant information
Bi-directional information interaction for multi-modal 3D object detection in real-world traffic scenes
A new sentence similarity measure and sentence based extractive technique for automatic text summarization
Two gradient-based RNNs for achieving zero residual in time-dependent zero-searching problems
Multi-image encryption based on new two-dimensional hyperchaotic model via cyclic shift coding of deoxyribonucleic acid
Learned lessons in credit card fraud detection from a practitioner perspective
Sequential targeting: A continual learning approach for data imbalance in text classification
Prediction of risk factor in hepatitis diagnosis using interval value hyperneutrosophic and einstein aggregated operations with extended MCDM
An approach for sales forecasting
An efficient method for segmentation of images based on fractional calculus and natural selection
A hybrid approach for generating investor views in Black-Litterman model
Efficiency evaluation of underwater glider fleet based on Fuzzy-AHP-ADC model
An integrated infrastructure for monitoring and evaluating agent-based systems
Risk assessment modeling with application in the accounting cloud-service industry
A comparative study on face detection and tracking algorithms
Estimating cost function of expert players in differential games: A model-based method and its data-driven extension
An empirical test to measure the effectiveness of online advertising in online marketplaces using a hierarchical Bayes model
An weighted ontology-based semantic similarity algorithm for web service
Efficient solution of Otsu multilevel image thresholding: A comparative study
Investigation of teenager's psychological orientation towards cyberbullying: be a victim or offender
Incorporating temporal-bounded CBR techniques in real-time agents
Influencing factors of livestream selling of fresh food based on a push-pull model: A two-stage approach combining structural equation modeling (SEM) and artificial neural network (ANN)
Social spiders optimization and flower pollination algorithm for multilevel image thresholding: A performance study
Three-reference-point based group ELECTRE III method for urban flood resilience evaluation
Using a fuzzy association rule mining approach to identify the financial data association
Deep learning based bi-level approach for proactive loan prospecting
Multi-objective optimization of a welding process by the estimation of the Pareto optimal set
The manufacturer's optimal mode implementation strategies for third-party resale platform operations: trade-in vs. trade-in and refurbishment
A slippery genetic algorithm-based process mining system for achieving better quality assurance in the garment industry
Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers
A vehicle driving intention prediction method based on gated dual tower transformer model for autonomous driving
Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection
Cubic Paraconsistent Analysers with Evidence Filter and Temporal Analysis
The customer-centric, multi-commodity vehicle routing problem with split delivery
Bayesian network classifiers based on Gaussian kernel density
A two-stage frequency-domain generation algorithm based on differential evolution for black-box adversarial samples
Measuring effectiveness of a dynamic artificial neural network algorithm for classification problems
A digitalization-based image edge detection algorithm in intelligent recognition of 5G smart grid
Optimizing modularity to identify semantic orientation of Chinese words
Classification of the growth level of fungal colonies in solid medium: a machine learning approach
Advancing sustainable material handling in construction warehouses using Web 4.0 technologies through disc intuitionistic CRADIS-based decision analytics
Neural prediction of hydrocarbon degradation profiles developed in a biopile
Multi-scale temporal convolutional networks and continual learning based in silico discovery of alternative antibiotics to combat multi-drug resistance
The cumulative vehicle routing problem with arc time windows
Group decision making process for insurance company selection problem with extended VIKOR method under fuzzy environment
Enhancing data classification using locally informed weighted k-nearest neighbor algorithm
Balanced connected task allocations for multi-robot systems: An exact flow-based integer program and an approximate tree-based genetic algorithm
A prospect theory-based interval dynamic reference point method for emergency decision making
A linguistic-based portfolio selection model using weighted max-min operator and hybrid genetic algorithm
A decomposition-based multi-objective Jaya algorithm for lot-streaming job shop scheduling with variable sublots and intermingling setting
A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker resources and learning effect
Road network pixelization: A traffic flow imputation method based on image restoration techniques
Addressing domain shift in neural machine translation via reinforcement learning
Design of a modular DSS for public health decision-making in the context of a COVID-19 pandemic landscape
Unsupervised and supervised learning in cascade for petroleum geology
Improved multi-search strategy A* algorithm to solve three-dimensional pipe routing design
Equivalent reference points in multiobjective programming
Clustering and classification of time series using topological data analysis with applications to finance
Intelligent bearing fault detection by enhanced energy operator
SAMSAR: A modified SAM architecture for oceanic ship segmentation of satellite SAR images using CNN-based Cross-Fused Attention
Direct feature extraction and image co-registration of morphological structure from Bayer pattern raw planetary images
Multi-view brain network classification based on Adaptive Graph Isomorphic Information Bottleneck Mamba
A fuzzy logic approach to the selection of the best silicon crystal slicing technology
Swarm intelligence-based extremum seeking control
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
Economic-environmental dispatch of isolated microgrids based on dynamic classification sparrow search algorithm
Computer-assisted creativity: Emulation of cognitive processes on a multi-agent system
Bridging the gap between data distribution and model: Dynamic data distribution optimization for improving critique capabilities of large language models
Artificial neural network and wavelet neural network approaches for modelling of a solar air heater
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
Precision and speed: LSOD-YOLO for lightweight small object detection
MobileDenseNeXt: Investigations on biomedical image classification
A multi-objective framework for predicting public opinion trends on infectious diseases using NSGA-II and interval predictions
Interactive fuzzy Bayesian search algorithm: A new reinforced swarm intelligence tested on engineering and mathematical optimization problems
SmS: SMOTE-stacked hybrid model for diagnosis of polycystic ovary syndrome using feature selection method
Multi-decomposition in deep learning models for futures price prediction
A new support vector data description method for machinery fault diagnosis with unbalanced datasets
A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (SCL)
The comparisons of prognostic indexes using data mining techniques and Cox regression analysis in the breast cancer data
Projected fuzzy c-means clustering algorithm with instance penalty
Cascaded context enhancement network for automatic skin lesion segmentation
Cross-project software defect prediction based on domain adaptation learning and optimization
Automated visual inspection expert system for multivariate statistical process control chart
High level argumentative errors in Argument Mining: Enhancing argument detection and automatic error prediction
Case-based adaptation for automotive engine electronic control unit calibration
A computational approach for real-time detection of fake news
Orthogonal least square center selection technique - A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural Network
SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning
An ensemble framework based on multivariate statistical analysis for process monitoring
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Improved object detection via large kernel attention
Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding
A review of the frameworks, models, and algorithms for large-scale imaging satellite mission planning
Developing SFNN models to predict financial distress of construction companies
On linguistic representation of quantitative dependencies
Collaborative multiple centers fresh logistics distribution network optimization with resource sharing and temperature control constraints
Development of a fuzzy expert system for the nephropathy control assessment in patients with type 2 diabetes mellitus
A multi-objective mean-variance portfolio selection model combining sequential three-way decision and regret theory
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm