yusuke1997/dblp-id-title huggingface dataset:
Dual-Stage Jaya algorithm for optimizing valve openings in heating system networks
Dynamic Lightweight Siamese-Prototypical network for few-shot relation classification
Perception-guided generative adversarial network for end-to-end speech enhancement
WCBA: Weighted classification based on association rules algorithm for breast cancer disease
Automatic binary and ternary change detection in SAR images based on evolutionary multiobjective optimization
Fuzzy decision method to improve the information exchange in a vehicle sensor tracking system
Improving salt and pepper noise removal using a fuzzy mathematical morphology-based filter
Global solar radiation prediction: Application of novel hybrid data-driven model
Auction-based cooperation mechanism to parts scheduling for flexible job shop with inter-cells
Generation bidding strategy in a pool based electricity market using Shuffled Frog Leaping Algorithm
Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemic
Real-time path planning of controllable UAV by subgoals using goal-conditioned reinforcement learning
Encoder-driven dynamically sampling NAS for key region re-identification in re-shot welding radiographs retrieval
Heuristic-machine learning models for solar radiation forecasting in Köppen climate zones
Optimal design of linear phase multi-band stop filters using improved cuckoo search particle swarm optimization
A lightweight PolSAR image classification algorithm based on multi-scale feature extraction and local spatial information perception
A novel approach to the placement and routing problems for field programmable gate arrays
A spatial-temporal graph attention network approach for air temperature forecasting
Fuzzy inventory models: A comprehensive review
A chaotic time series prediction model for speech signal encoding based on genetic programming
Intelligent diagnosis method for machine faults based on federated transfer learning
Statistical and machine learning models in credit scoring: A systematic literature survey
Extracting hierarchical relationships of aspects from reviews
A formal approach for matching and ranking trustworthy context-dependent services
Real-time anomaly detection in seasonal time series with conditional variational autoencoder
Topological numbers of fuzzy soft graphs and their applications in globalizing the world by mutual trade
Type2 soft biclustering framework for Alzheimer microarray
Heterogeneous graph neural network with hierarchical attention for group-aware paper recommendation in scientific social networks
PSO-based Power-Driven X-Routing Algorithm in semiconductor design for predictive intelligence of IoT applications
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems
Elite-centered artificial bee colony algorithm with extended solution boundary
Interpretable fuzzy partitioning of classified data with variable granularity
Multi-objective genetic programming for binary classification with adaptive thresholds and a generalization-optimizing fitness function
Patch-Levy-based initialization algorithm for Bees Algorithm
A calibrated piecewise-linear FGM approach for travel destination recommendation during the COVID-19 pandemic
Representation embedded learning via autoencoder for large-scale multi-objective optimization
Modeling self-supervised learning for handling the concept drift with Ternary-Adaptive Ensemble
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
Fuzzy linear programming approach to multiattribute decision making with multiple types of attribute values and incomplete weight information
An evolutionary algorithm for multi-criteria inverse optimal value problems using a bilevel optimization model
Utilizing simplified structural information for multiobjective community detection
Detecting asthma control level using feature-based time series classification
Pulse-coupled neural network and its optimization for segmentation of electrical faults with infrared thermography
Differential Evolution for automatic rule extraction from medical databases
Particle swarm optimization-based strategy for detecting border-collision bifurcation points in piecewise smooth maps
Distributed generation allocation with on-load tap changer on radial distribution networks using adaptive genetic algorithm
Developing a dynamic neighborhood structure for an adaptive hybrid simulated annealing - tabu search algorithm to solve the symmetrical traveling salesman problem
Optimisation of control parameters for genetic algorithms to test computer networks under realistic traffic loads
Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactors
A game-theoretical constructive approach for the multi-objective frequency assignment problem
Conjunction and disjunction operations for digital fuzzy hardware
A kernel-free fuzzy reduced quadratic surface ν-support vector machine with applications
A novel hybrid KPCA and SVM with GA model for intrusion detection
A fuzzy neural approach to design of a Wiener printer model incorporated into model-based digital halftoning
Simplifying Particle Swarm Optimization
New metric learning model using statistical inference for kinship verification
A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring
A deep hypersphere approach to high-dimensional anomaly detection
Advancing multi-source domain adaptation via generalized divergence measures
Recurrent Tensor Factorization for time-aware service recommendation
Hybrid Differential Evolution and Greedy Algorithm (DEGR) for solving Multi-Skill Resource-Constrained Project Scheduling Problem
Iterative generation of insight from text collections through mutually reinforcing visualizations and fuzzy cognitive maps
Cross-individual electrophysiological signal recognition in Clivia biosensors via domain adaptation
Hybrid of jellyfish and particle swarm optimization algorithm-based support vector machine for stock market trend prediction
An SVD-based image watermarking in wavelet domain using SVR and PSO
Differential evolution with improved individual-based parameter setting and selection strategy
A Double Exponential Particle Swarm Optimization with non-uniform variates as stochastic tuning and guaranteed convergence to a global optimum with sample applications to finding optimal exact designs in biostatistics
A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems
A combined neural network and genetic algorithm based approach for optimally designed femoral implant having improved primary stability
A modified interval valued intuitionistic fuzzy CODAS method and its application to multi-criteria selection among renewable energy alternatives in Turkey
Transportation planning with modified S-curve membership functions using an interactive fuzzy multi-objective approach
Music auto-tagging using scattering transform and convolutional neural network with self-attention
An evolutionary intelligent control system for a flexible joints robot
Web table discrimination with composition of rich structural and content information
Multiobjective multifactorial immune algorithm for multiobjective multitask optimization problems
Ensemble learning via feature selection and multiple transformed subsets: Application to image classification
Advancements and prospects of fuzzy-based adaptive unscented Kalman filters for nonlinear systems: A review
Dynamic fuzzy neighborhood rough set approach for interval-valued information systems with fuzzy decision
Simulation based neuro-fuzzy hybrid intelligent PI control approach in four-area load frequency control of interconnected power system
Non-dominated sorting genetic algorithm using fuzzy membership chromosome for categorical data clustering
Automatic construction of accurate bioacoustics workflows under time constraints using a surrogate model
Fractional fuzzy transform: Integrating fuzzy approximation and fractional calculus
An adaptive ant colony algorithm for urban-rural collaborative electric vehicle routing problem
Prediction of temperature distribution in human BEL exposed to 900 MHz mobile phone radiation using ANFIS
Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach
Coverage exploration of unknown obstacle-cluttered environments using a swarm of ground robots
An innovative hybrid approach for multi-step ahead wind speed prediction
Real-time Energy Management for PV-battery-wind based microgrid using on-line sequential Kernel Based Robust Random Vector Functional Link Network
A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine-Russia conflict
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics
Spiking neural self-attention network for sequence recommendation
Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data
ANN based online voltage estimation
Identification of multi-resolution network structures with multi-objective immune algorithm
A fuzzy integer-nonlinear programming approach for creating a flexible just-in-time location-aware service in a mobile environment
The bare bones fireworks algorithm: A minimalist global optimizer
Macroeconomic indicators alone can predict the monthly closing price of major U.S. indices: Insights from artificial intelligence, time-series analysis and hybrid models
A self-adaptive multi-objective harmony search algorithm based on harmony memory variance
Evolutionary multiobjective overlapping community detection based on similarity matrix and node correction
A new axiomatic methodology for the image similarity
Two-stage short-term wind power probabilistic prediction using natural gradient boosting combined with neural network
A transmission line fault locator based on Elman recurrent networks
Physics of failure-based reliability prediction of turbine blades using multi-source information fusion
A PSO-AB classifier for solving sequence classification problems
Multi-scale channel importance sorting and spatial attention mechanism for retinal vessels segmentation
An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain
A hierarchical surrogate assisted optimization algorithm using teaching-learning-based optimization and differential evolution for high-dimensional expensive problems
Multi-scale Attention Recalibration Network for crowd counting
Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networks
Robust energy management technique for plug-in hybrid electric vehicle with traffic condition identification
A probability-based linguistic decision-making approach to a reliable Kano model for classifying quality attributes
Graph based fuzzy clustering algorithm for crime report labelling
Trajectory planning of autonomous mobile robots applying a particle swarm optimization algorithm with peaks of diversity
Chattering-free fuzzy variable structure control for multivariable nonlinear systems
Flexible job shop scheduling problem with interval grey processing time
A genetic algorithm with jumping gene and heuristic operators for traveling salesman problem
MidGAN: Mutual information in GAN-based dialogue models
A hybrid multi-population genetic algorithm for the dynamic facility layout problem
Using a non-uniform self-selective coder for option pricing
Mitigating bullwhip effect in an agent-based supply chain through a fuzzy reverse ultimatum game negotiation module
Federated learning for spiking neural networks by hint-layer knowledge distillation
Automatic design of machine learning via evolutionary computation: A survey
Improving robustness and flexibility of tardiness and total flow-time job shops using robustness measures
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition
Protein Secondary Structure Prediction Using Cascaded Feature Learning Model
An adaptive heuristic algorithm with a collaborative search framework for multi-UAV inspection planning
A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting
A bi-projection model based on linguistic terms with weakened hedges and its application in risk allocation
An efficient approximating alpha-cut operations approach for deriving fuzzy priorities in fuzzy multi-criterion decision-making
Optimal driving during electric vehicle acceleration using evolutionary algorithms
A multi-scale multi-head attention network for stock trend prediction considering textual factors
A deep fuzzy model for diagnosis of COVID-19 from CT images
Agricultural futures prices combination forecasting with whole-process interpretable method
Energy minimizing capacitated covering vehicle routing problem
Bi-MARS: A Bi-clustering based Memetic Algorithm for Recommender Systems
A modified salp swarm algorithm for task assignment problem
Multiprocessor task scheduling in multistage hybrid flow-shops: A parallel greedy algorithm approach
URNet: A U-Net based residual network for image dehazing
An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons
Automatic rule learning using roughset for fuzzy classifier in fault categorization of mono-block centrifugal pump
Variable scale fuzzy β-covering group approximation space and variable scale multi-granulation FCRSs with applications
Invariance measures for neural networks
Application of CMAC neural network to the control of induction motor drives
Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach
Intelligent complementary sliding-mode control with dead-zone parameter modification
Multi-channel Bayesian Adaptive Resonance Associate Memory for on-line topological map building
Natural language processing for construction engineering: Artificial intelligence-driven text analysis techniques
Cross-shard transaction optimization based on community detection in sharding blockchain systems
A novel method for image thresholding using interval type-2 fuzzy set and Bat algorithm
Adaptive clustering-based approach for forgery detection in images containing similar appearing but authentic objects
Synergic predator-prey optimization for economic thermal power dispatch problem
Soft Computing based object detection and tracking approaches: State-of-the-Art survey
Seeding the initial population of multi-objective evolutionary algorithms: A computational study
A new meta-heuristic optimizer: Pathfinder algorithm
FIL-DGA based hardware optimization system
Selecting skyline stars over uncertain databases: Semantics and refining methods in the evidence theory setting
Solving capacitated vehicle routing problem using cooperative firefly algorithm
Multi-modal data novelty detection with adversarial autoencoders
Load frequency regulation by de-loaded tidal turbine power plant units using fractional fuzzy based PID droop controller
Multi-source graph contrastive learning with dual-level dynamic fusion of structure and feature for inductive semi-supervised short text classification
Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach
A new Ensemble based multi-agent system for prediction problems: Case study of modeling coal free swelling index
Fuzzy logic and biometric-based lightweight cryptographic authentication for metaverse security
A comprehensive review of automatic programming methods
An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction
Argumentation meets matrix factorization: A dual perspective for explainable recommendations
Fuzzy least squares projection twin support vector machines for class imbalance learning
Multicriteria programming in medical diagnosis and treatments
Multi-objective brainstorm optimization algorithm based on Bayesian inference learning automaton for solving CVRP with time windows
A proposed PCNN features quality optimization technique for pose-invariant 3D Arabic sign language recognition
An alternative SMOTE oversampling strategy for high-dimensional datasets
Multi-objective crowd-aware robot navigation system using deep reinforcement learning
A differential evolutionary chromosomal gene expression programming technique for electronic nose applications
Redefining teaching-and-learning-process in TLBO and its application in cloud
Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index
HawkEye: A robust loss function for regression with bounded, smooth, and insensitive zone characteristics
Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction
Evaluate the fuzzy completion times in the fuzzy flow shop scheduling problems using the virus-evolutionary genetic algorithms
Semi-supervised learning based distributed attack detection framework for IoT
Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection
Generative adversarial network based on CNN classifier predicted scores for image style transfer
Deep label embedding learning for classification
Joint damage identification using Improved Radial Basis Function (IRBF) networks in frequency and time domain
Genetic and tabu search approaches for optimizing the hall call - Car allocation problem in elevator group systems
A compact neuromorphic architecture with dynamic routing to efficiently simulate the FXECAP-L algorithm for real-time active noise control
Binary firefly algorithm based reconfiguration for maximum power extraction under partial shading and machine learning approach for fault detection in solar PV arrays
Automatic parameter tuning for Evolutionary Algorithms using a Bayesian Case-Based Reasoning system
Hierarchical clustering: Visualization, feature importance and model selection
Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors
The minimum latency in location routing fuzzy inventory problem for perishable multi-product materials
Facing classification problems with Particle Swarm Optimization
A new framework for ultra-short-term electricity load forecasting model using IVMD-SGMD two-layer decomposition and INGO-BiLSTM-TPA-TCN
An informed genetic algorithm for the examination timetabling problem
A note on soft sets, rough soft sets and fuzzy soft sets
Explainable column-generation-based genetic algorithm for knapsack-like energy aware nanosatellite task scheduling
A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system
Work alone then meet: Cognitive attributes and team interaction in engineering design using evolutionary algorithms
Pigeon-inspired fuzzy multi-objective task allocation of unmanned aerial vehicles for multi-target tracking
Revolute manipulator workspace optimization: A comparative study
A dynamic threshold decision system for stock trading signal detection
A multi-objective routing algorithm for Wireless Multimedia Sensor Networks
A novel fuzzy linear regression model based on a non-equality possibility index and optimum uncertainty
A reference direction and entropy based evolutionary algorithm for many-objective optimization
Decoding the scientific creative-ability of subjects using dual attention induced graph convolutional-capsule network
Hadoop based uncertain possibilistic kernelized c-means algorithms for image segmentation and a comparative analysis
A comparison of five hybrid metaheuristic algorithms for unrelated parallel-machine scheduling and inbound trucks sequencing in multi-door cross docking systems
Finding low autocorrelation binary sequences with memetic algorithms
Fuzzy twin support vector machine based on fuzzy membership assignment strategy: A survey
Towards a unified multi-source-based optimization framework for multi-label learning
A framework based on heterogeneous ensemble models for liquid steel temperature prediction in LF refining process
DAPlanner: Dual-agent framework with multi-modal large language model for autonomous driving motion planning
Voice conversion using General Regression Neural Network
Soft computing for recommender systems and sentiment analysis
PPFLHE: A privacy-preserving federated learning scheme with homomorphic encryption for healthcare data
MODE/CMA-ES: Integrated multi-operator differential evolution technique with CMA-ES
A novel spatio-temporal adaptive network considering time-delay effect for traffic flow forecasting
A correlation guided genetic algorithm and its application to feature selection
A fixed-time convergent and noise-tolerant zeroing neural network for online solution of time-varying matrix inversion
A new hybrid particle swarm and simulated annealing stochastic optimization method
Quantum-inspired multi-step trust region policy optimization for integrated rotor angle stability control of time-varying renewable energy sources
Contrastive learning with hard negatives for sentence embeddings
Early detection of the risk of depressive episodes using a proprietary diagnostic test by new epistemic similarity measures
The Williams and Otto Chemical Plant re-evaluated using a Pareto-optimal formulation aided by Genetic Algorithms
Trapezoidal cloud based heterogeneous multi-criterion group decision-making for container multimodal transport path selection
Saccade inspired Attentive Visual Patch Transformer for image sentiment analysis
A new semi-supervised clustering algorithm with pairwise constraints by competitive agglomeration
Span-level emotion-cause-category triplet extraction with instruction tuning LLMs and data augmentation
Optimizing supply routes in a network interdiction model with dual defense operations
Bidimensional comparison of the extremely low frequency magnetic field ranges on the laptop surface
On line detection of mean and variance shift using neural networks and support vector machine in multivariate processes
A hybrid solution method for fuzzy train formation planning
Hyperspectral image classification using k-sparse denoising autoencoder and spectral-restricted spatial characteristics
A wind turbine damage detection algorithm designed based on YOLOv8
A GEP-based spatial decision support system for multisite land use allocation
Integrating data visibility decision in a multi-objective procurement transport planning under risk: A modified NSGA-II
An integrated multi-criteria decision making model with Self-Organizing Maps for the assessment of the performance of publicly traded banks in Borsa Istanbul
Fuzzy neural network for solving a system of fuzzy differential equations
Cost-effective subsidy policy for growers and biofuels-plants in closed-loop supply chain of herbs and herbal medicines: An interactive bi-objective optimization in T-environment
A deep matching model for detecting reviews mismatched with products in e-commerce
A Linguistic Possibility-Probability Aggregation Model for decision analysis with imperfect knowledge
Pattern Matching based Classification using Ant Colony Optimization based Feature Selection
An adaptive image steganographic scheme based on Noise Visibility Function and an optimal chaotic based encryption method
Comprehensive application of transfer learning, unsupervised learning and supervised learning in debris flow susceptibility mapping
Mobile app recommendation via heterogeneous graph neural network in edge computing
Motor delay image recognition based on deep learning and human skeleton model
Evolving temporal convolutional neural networks for modeling turntable servo systems
A decentralized Artificial Immune System for solution selection in Cyber-Physical Systems
Guided parallelized stochastic gradient descent for delay compensation
An efficient Meta-cognitive Fuzzy C-Means clustering approach