yusuke1997/dblp-id-title huggingface dataset:
Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology
Temporal event searches based on event maps and relationships
Voltage and frequency regulation in autonomous microgrids using Hybrid Big Bang-Big Crunch algorithm
Multi-strategy gravitational search algorithm for constrained global optimization in coordinative operation of multiple hydropower reservoirs and solar photovoltaic power plants
A novel image encryption scheme using both pixel level and bit level permutation with chaotic map
A novel nondominated sorting simplified swarm optimization for multi-stage capacitated facility location problems with multiple quantitative and qualitative objectives
Estimating incipient motion velocity of bed sediments using different data-driven methods
Non-inertial opposition-based particle swarm optimization and its theoretical analysis for deep learning applications
Time series forecasting based on echo state network and empirical wavelet transformation
CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems
Improved cardinalized probability hypothesis density filtering algorithm
Evaluation of risks impeding sustainable mining using Fermatean fuzzy score function based SWARA method
A Mixed-Heuristic Quantum-Inspired Simplified Swarm Optimization Algorithm for scheduling of real-time tasks in the multiprocessor system
A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
Prediction of influent wastewater quality based on wavelet transform and residual LSTM
A survey on personalized itinerary recommendation: From optimisation to deep learning
Unraveling asset pricing with AI: A systematic literature review
Chaos synchronization of nonlinear gyros using self-learning PID control approach
Advancing predictive modeling of LPS-induced acute lung injury: A machine learning model for success rate prediction
Artificial immune system based on interval type-2 fuzzy set paradigm
Daily PM 2.5 and PM 10 forecasting using linear and nonlinear modeling framework based on robust local mean decomposition and moving window ensemble strategy
Leveraging latent space representations for accurate wind power prediction
A hybrid genetic and imperialist competitive algorithm for green vendor managed inventory of multi-item multi-constraint EOQ model under shortage
Optimization of magnetic field assisted EDM using the continuous ACO algorithm
A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems
A new fuzzy TOPSIS method based on left and right scores: An application for determining an industrial zone for dairy products factory
Generative emulation and uncertainty quantification of geological CO2 storage with conditional diffusion models
A Gaussian random walk salp swarm algorithm for optimal dynamic charging of electric vehicles
Reliable numerical treatment of nonlinear singular Flierl-Petviashivili equations for unbounded domain using ANN, GAs, and SQP
Study impact of various load models on DG placement and sizing using backtracking search algorithm
Training of the feed forward artificial neural networks using dragonfly algorithm
A multiobjective dynamic rebalancing evolutionary algorithm for free-floating bike sharing
The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence
Towards learning behavior modeling of military logistics agent utilizing profit sharing reinforcement learning algorithm
Optimization models and solving approaches in relief distribution concerning victims' satisfaction: A review
A novel phase performance evaluation method for particle swarm optimization algorithms using velocity-based state estimation
Hybrid deep neural network model for human action recognition
Motion planning with adaptive motion primitives for modular robots
A new metaheuristic optimization methodology based on fuzzy logic
Discrete cuckoo search algorithms for test case prioritization
Image splicing localization based on dual-stream spatial-noise learning and hierarchical frequency fusion
Distributed multi-objective evolutionary optimization using island-based selective operator application
Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm
Solving the minimum labelling spanning tree problem by intelligent optimization
A novel highly efficient alternating direction method of multipliers for large-scale trimmed concave SVM
MTEEGC: A novel approach for multi-trial EEG clustering
Introducing clustering based population in Binary Gravitational Search Algorithm for Feature Selection
Golden Search Optimization based adaptive and diagonal kernel convolution neural network for disease prediction and securing IoT data in cloud
Cross-modal deep interaction and modal-aware aggregation network for visible and infrared tracking
Multi area AGC scheme using imperialist competition algorithm in restructured power system
Spatial and temporal saliency based four-stream network with multi-task learning for action recognition
An evolutionary knowledge transfer framework for solving workgroup reconfiguration problem in aircraft final assembly
Adaptive firefly algorithm with chaos for mechanical design optimization problems
Modeling of Wind/Environment/Economic Dispatch in power system and solving via an online learning meta-heuristic method
The physical information LSTM surrogate model for establishing a digital twin model of reciprocating air compressors
An efficient two-stage evolutionary algorithm for multi-robot task allocation in nuclear accident rescue scenario
Metaheuristic-driven feature selection with dual feedback mechanisms for imbalanced cancer classification
A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification
A deep learned type-2 fuzzy neural network: Singular value decomposition approach
Hybridizing ant colony optimization via genetic algorithm for mixed-model assembly line balancing problem with sequence dependent setup times between tasks
A noisy multi-objective evolutionary optimization algorithm based on Elman neural network
Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review
Research on the spacecraft ground equivalence test assessment problem: A comprehensive assessment method combining interval-type evaluation and prospect-two-dimensional cloud
Context-Aware Fuzzy Databases
Three-way decision based island harmony search algorithm for robust flow-shop scheduling with uncertain processing times depicted by big data
SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting
GAN-based approach for data imputation and handling class imbalance using one class ensemble
An End-to-end Deep Clustering Method with Consistency and Complementarity Attention Mechanism for Multisensor Fault Diagnosis
A decision making model based on the leading principal submatrices of a reciprocal preference relation
MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction
Lens imaging opposition-based learning for differential evolution with cauchy perturbation
An Automatic Credit Scoring Strategy (ACSS) using memetic evolutionary algorithm and neural architecture search
Integrated approach of network reconfiguration with distributed generation and shunt capacitors placement for power loss minimization in radial distribution networks
A hybrid self-adaptive bees algorithm for examination timetabling problems
Hardware efficient FIR filter design using Global Best Steered Quantum Inspired Cuckoo Search Algorithm
Development of precise forgery detection algorithms in digital radiography images using convolution neural network
Causality on cross-sectional data: Stable specification search in constrained structural equation modeling
Autoencoder-based multi-task learning for imputation and classification of incomplete data
Applying multi-objective ant colony optimization algorithm for solving the unequal area facility layout problems
Nonconvex economic load dispatch using an efficient real-coded genetic algorithm
Resilient and sustainable global COVID-19 vaccine supply chain design considering reverse logistics
A modified water cycle algorithm for long-term multi-reservoir optimization
A nature inspired intelligent water drops evolutionary algorithm for parallel processor scheduling with rejection
Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks
A novel artificial bee colony algorithm with Powell's method
Erratum to "A note on soft sets, rough soft sets and fuzzy soft sets" [Appl. Soft Comput. 11 (2011) 3329-3332
Controlling mixed-mode fatigue crack growth using deep reinforcement learning
Combined economic and emission power dispatch problems through multi-objective squirrel search algorithm
Reconfiguration of distribution networks using rain-fall optimization with non-dominated sorting
The periodicity and robustness in a single-track train scheduling problem
Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification
Soft computing based optimization of combined cycled power plant start-up operation with fitness approximation methods
An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild
Chaos-based optimal path planning of humanoid robot using hybridized regression-gravity search algorithm in static and dynamic terrains
A KNN quantum cuckoo search algorithm applied to the multidimensional knapsack problem
Differential evolution as the global optimization technique and its application to structural optimization
A 2-phase prediction of a non-stationary time-series by Taylor series and reinforcement learning
BP-CapsNet: An image-based Deep Learning method for medical diagnosis
A rough set method for the minimum vertex cover problem of graphs
A Chinese power text classification algorithm based on deep active learning
Classifying the degree of exposure of customers to COVID-19 in the restaurant industry: A novel intuitionistic fuzzy set extension of the TOPSIS-Sort
AVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio-visual​ deepfakes detection
Dynamical decomposition and selection based evolutionary algorithm for many-objective optimization
Research on Point-wise Gated Deep Networks
A case-based reasoning driven ensemble learning paradigm for financial distress prediction with missing data
Attention induced multi-head convolutional neural network for human activity recognition
Multi-objective closed-loop green supply chain model with disruption risk
Corrigendum to "Haplotype inference using a novel binary particle swarm optimization algorithm" [Appl. Soft Comput. 21(2014) 415-422]
Handling binary classification problems with a priority class by using Support Vector Machines
Sizing, layout and topology design optimization of truss structures using the Jaya algorithm
A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user's perspective in intuitionistic fuzzy environment
Mitigating the impact of adversarial attacks in very deep networks
A survey of mat-heuristics for combinatorial optimisation problems: Variants, trends and opportunities
A causal framework to determine the effectiveness of dynamic quarantine policy to mitigate COVID-19
Application of Hyper-Spherical Search algorithm for optimal energy resources dispatch in residential microgrids
Incorporating vision-based artificial intelligence and large language model for smart traffic light control
Variable neighborhood search for weighted total domination problem and its application in social network information spreading
Multimodal fine-grained reasoning for post quality evaluation
Using GAN-generated market simulations to guide genetic algorithms in index tracking optimization
Some optimal models for facility location-allocation problem with random fuzzy demands
Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees
Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation
Neural semantic evaluation of blockchain policy tools in China
A sarcasm detection method based on modality inconsistencies and textual knowledge enhancement
A benchmark dataset and lightweight model for multi-distance gesture recognition in UAV control
Dynamic interrelationships among crude oil, green bond, and carbon markets: Evidence from fuzzy logic autoencoders
ANFIS based sensor fault detection for continuous stirred tank reactor
A text mining-based framework to discover the important factors in text reviews for predicting the views of live streaming
Strong approximate Markov blanket and its application on filter-based feature selection
A genetic programming method for feature mapping to improve prediction of HIV-1 protease cleavage site
Online identification of evolving Takagi-Sugeno-Kang fuzzy models for crane systems
A pruning feedforward small-world neural network by dynamic sparse regularization with smoothing l 1/2 norm for nonlinear system modeling
A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations
Ameliorated moth-flame algorithm and its application for modeling of silicon content in liquid iron of blast furnace based fast learning network
Perceptual pain classification using ANFIS adapted RBF kernel support vector machine for therapeutic usage
Adversarial multi-source domain generalization approach for power prediction in unknown photovoltaic systems
Machine learning-driven feature selection and anomaly detection for Bitcoin price analysis
A Systolic Genetic Search for reducing the execution cost of regression testing
Model cooperation learning for multi-source domain generalization in medical image segmentation
Application of evolutionary fuzzy cognitive maps to the long-term prediction of prostate cancer
Optimising latent features using artificial immune system in collaborative filtering for recommender systems
Cost-sensitive matrixized classification learning with information entropy
Compensative weighted averaging aggregation operators
Real-time electrocardiogram streams for continuous authentication
Video sequence motion tracking by fuzzification techniques
Evolutionary deep learning for computer vision and image processing
An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming
Reconstruction of missing data in multidimensional time series by fuzzy similarity
A heterogeneous guided ant colony algorithm based on space explosion and long-short memory
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis
Hodrick-Prescott filter-based hybrid ARIMA-SLFNs model with residual decomposition scheme for carbon price forecasting
Solving DC power flow problems using quantum and hybrid algorithms
An unsupervised framework for drift-aware anomaly detection in streaming time series
A study of the hesitant fuzzy aggregation operators for the transportation of perishable goods under real life scenarios
Prediction of relative position of CT slices using a computational intelligence system
Classification of human cancer diseases by gene expression profiles
Objective weights with intuitionistic fuzzy entropy measures and computational experiment analysis
NSGA-III integrating eliminating strategy and dynamic constraint relaxation mechanism to solve many-objective optimal power flow problem
Semi-supervised Lip-Tongue segmentation with Boundary Region Contrast Sampling
A Coral Reefs Optimization algorithm for optimal mobile network deployment with electromagnetic pollution control criterion
Fuzzy optimal placement of capacitors in the presence of nonlinear loads in unbalanced distribution networks using BF-PSO algorithm
Adversarial behaviours in mixing coins under incomplete information
Two layered Genetic Programming for mixed-attribute data classification
Global temperature reconstruction of equipment based on the local temperature image using TRe-GAN
Neural networks to determine task oriented dexterity indices for an underwater vehicle-manipulator system
A robust firefly-swarm hybrid optimization for frequency control in wind/PV/FC based microgrid
Generalized fuzzy data envelopment analysis methods
Semi-supervised deep rule-based approach for image classification
A Fuzzy-AHP based prioritization of trust criteria in fog computing services
Spherical search algorithm with adaptive population control for global continuous optimization problems
Using adaptive neuro-fuzzy inference system for hydrological time series prediction
A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem
Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis
Bi-criteria ant colony optimization algorithm for minimizing makespan and energy consumption on parallel batch machines
A novel method for real parameter optimization based on Gene Expression Programming
Resource scheduling algorithm with load balancing for cloud service provisioning
Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations
Analysis of core attribute and approximate reduct based on the three-way decision
Islanding detection of distributed generation by using multi-gene genetic programming based classifier
A radial basis function neural network adaptive controller to drive a powered lower limb knee joint orthosis
A neural network-based sliding-mode control for rotating stall and surge in axial compressors
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
Chemical-reaction optimization for flexible job-shop scheduling problems with maintenance activity
LayerLog: Log sequence anomaly detection based on hierarchical semantics
Efficient protocol for data clustering by fuzzy Cuckoo Optimization Algorithm
Multichannel image contrast enhancement based on linguistic rule-based intensificators
Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network
Class-specific kernelized extreme learning machine for binary class imbalance learning
Optimizing an equilibrium supply chain network design problem by an improved hybrid biogeography based optimization algorithm
Terrain classification based on spatial multi-attribute graph using Polarimetric SAR data
Enhanced COVID-19 X-ray image preprocessing schema using type-2 neutrosophic set
Immunodomaince based Clonal Selection Clustering Algorithm
Negative Correlation Hidden Layer for the Extreme Learning Machine
Commentary on "On solving a multiobjective fixed charge problem with imprecise fractional objectives"
Enhanced safety prediction of vault settlement in urban tunnels using the pair-copula and Bayesian network
Hydrocarbon reservoir model detection from pressure transient data using coupled artificial neural network - Wavelet transform approach
Sparse and semi-attention guided faults diagnosis approach for distributed online services
Synergizing reinforcement learning and game theory - A new direction for control
Vehicle positioning in cell manufacturing systems via robust optimization
Linguistic description about circular structures of the Mars' surface
Machine learning for hardware security: Classifier-based identification of Trojans in pipelined microprocessors
Particle swarm optimization and opposite-based particle swarm optimization for two-agent multi-facility customer order scheduling with ready times
An application of OWA operators in fuzzy business diagnosis
On the performances of the flower pollination algorithm - Qualitative and quantitative analyses
An embedded feature selection approach for depression classification using short text sequences
A many-objective evolutionary algorithm based on reference vector guided selection and two diversity and convergence enhancement strategies
A framework to undersample and refine the synthetic minority set
Realization of learning induced self-adaptive sampling in noisy optimization
Evolutionary hidden information detection by granulation-based fitness approximation
Applying fuzzy mathematical programming approach to optimize a multiple supply network in uncertain condition with comparative analysis
A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve
Load frequency control of a microgrid employing a 2D Sine Logistic map based chaotic sine cosine algorithm
A hybrid CBO-PSO algorithm for optimal design of truss structures with dynamic constraints
Reinforcement learning based bilevel real-time pricing strategy for a smart grid with distributed energy resources
Multimodal feature fusion and exploitation with dual learning and reinforcement learning for recipe generation
Fuzzy risk analysis using area and height based similarity measure on generalized trapezoidal fuzzy numbers and its application
On the performance of nature inspired algorithms for the automatic segmentation of coronary arteries using Gaussian matched filters
Species-based Particle Swarm Optimizer enhanced by memory for dynamic optimization
Intuit before tuning: Type-1 and type-2 fuzzy logic controllers
Decomposed fuzzy proportional-integral-derivative controllers
Heuristic-aided fusion serial cascaded deep network for handwritten character recognition from handwritten images using optimization strategy
Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach
Hybrid whale optimization algorithm enhanced with Lévy flight and differential evolution for job shop scheduling problems
Wind turbine blades defect detection based on global and local attention with multi-feature fusion
R-WDLS: An efficient security region oversampling technique based on data distribution
Fuzzy enabled congestion control for Differentiated Services Networks
An optimal fuzzy control system in a network environment based on simulated annealing. An application to a drilling process
Machine learning-driven evaluation of carbon emissions in geopolymer concrete
Predicting the principal strong ground motion parameters: A deep learning approach
Applying large language models to sanitize self-disclosure in user-generated content
Correcting geometric deviations of CNC Machine-Tools: An approach with Artificial Neural Networks
Multi-type radar deployment for UAV swarms defense coverage using Firework Algorithm with Determinantal Point Processes under complex terrain
Comments on "Design of two-layered fractional order fuzzy logic controllers applied to robotic manipulator with variable payload"
A bi-objective load balancing model in a distributed simulation system using NSGA-II and MOPSO approaches
Multiplex network influence maximization based on representation learning method
A lightweight model for long-term multivariate time series forecasting via high-dimensional feature maps
Outlier detection based on Gaussian process with application to industrial processes
Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands
Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models
Evolutionary induced survival trees for medical prognosis assessment
ABT-SVDD: A method for uncertainty handling in domain adaptation using belief function theory
A duality-preserving fuzzy maximum flow framework using linear ranking: A scalable soft computing approach
Incremental Non-Dominated Sorting algorithms based on Irreducible Domination Graphs
Multiple attribute group decision making methods based on intuitionistic linguistic power generalized aggregation operators
A greedy belief rule base generation and learning method for classification problem