yusuke1997/dblp-id-title huggingface dataset:
Fuzzy cognitive maps and cellular automata: An evolutionary approach for social systems modelling
Improved MOSADE algorithm incorporating Sobol sequences for multi-objective design of Water Distribution Networks
Effective mutation rate for probabilistic evolutionary design of analogue electrical circuits
Application of modified beetle antennae search algorithm and BP power flow prediction model on multi-objective optimal active power dispatch
Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model
The genetic algorithm for breast tumor diagnosis - The case of DNA viruses
Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008-2018)
Using genetic algorithm to support clustering-based portfolio optimization by investor information
An artificial immune classifier for credit scoring analysis
A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithms
Dynamic target continuous assignment method for unmanned clusters in fragmented information environments
Diffusion-based road defect detection model integrating edge information and efficient multi-scale convolution
Secure and energy efficient routing protocol for underwater wireless sensor network using running city game optimization with XGBoost algorithm
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects
Facility location via fuzzy modeling and simulation
Estimating unit cost using agent-based fuzzy collaborative intelligence approach with entropy-consensus
DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments
Searching for local Pareto fronts based on the non-dominance range in the decision space
Hybrid evolutionary algorithm-based real-world flexible job shop scheduling problem: application service provider approach
Neighbors' distribution property and sample reduction for support vector machines
IHC-Net: A fully convolutional neural network for automated nuclear segmentation and ensemble classification for Allred scoring in breast pathology
Multi-layer protection of deep learning model using dual watermarking and encryption
Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods
Multi-objective optimization of the stack of a thermoacoustic engine using GAMS
Optimal design of laser solid freeform fabrication system and real-time prediction of melt pool geometry using intelligent evolutionary algorithms
Transparent and bias-resilient AI framework for recidivism prediction using deep learning and clustering techniques in criminal justice
Iris localization using rough entropy and CSA: A soft computing approach
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification
Chaotic crow search algorithm for fractional optimization problems
Large-scale group decision making with multiple stakeholders based on probabilistic linguistic preference relation
Optimal solutions to granular fuzzy relation equations with fuzzy logic operations
An oversampling technique based on noise detection and geometry
Economic environmental dispatch using multi-objective differential evolution
A deep learning model for FaceSwap and face-reenactment deepfakes detection
EvoSeedRNSAII: An improved evolutionary algorithm for generating detectors in the real-valued Negative Selection Algorithms
On the performance of deep learning for numerical optimization: An application to protein structure prediction
Dynamic scheduling for distributed flexible job shop using deep reinforcement learning
Kernel similarity-based multigranulation three-way decision approach to hypertension risk assessment with multi-source and multi-level structure data
On an evolutionary approach for constrained optimization problem solving
A deep learning based framework for remote sensing image ground object segmentation
Cluster-based information fusion for probabilistic risk analysis in complex projects under uncertainty
A low-level resource allocation in an agent-based Cloud Computing platform
Assembling translations from multi-engine machine translation outputs
On the performance of artificial bee colony (ABC) algorithm
Iterative software fault prediction with a hybrid approach
Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systems
Modeling and control of non-linear systems using soft computing techniques
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation
Interactive information bottleneck for high-dimensional co-occurrence data clustering
Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index
Optimization of fuzzy controller design using a new bee colony algorithm with fuzzy dynamic parameter adaptation
AGORA: An intelligent system for the anonymization, information extraction and automatic mapping of sensitive documents
Conjoining congestion speed-cycle patterns and deep learning neural network for short-term traffic speed forecasting
Intelligent decision support system for multi-objective 3D container loading using genetic algorithm combined with artificial bee colony
A survey on deep learning techniques for image and video semantic segmentation
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
Hierarchical layered multigraph network with scale importance estimation for image classification
An enhanced artificial bee colony algorithm with adaptive differential operators
Deep learning based source identification of environmental audio signals using optimized convolutional neural networks
Hierarchical extreme learning machine based image denoising network for visual Internet of Things
AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization
A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification
Anomaly-based network intrusion detection using denoising autoencoder and Wasserstein GAN synthetic attacks
Cooperative transportation system for humanoid robots using simulation-based learning
Non-interactive approach to solve multi-objective thermal power dispatch problem using composite search algorithm
Two-stage heuristic algorithm with pseudo node-based model for electric vehicle routing problem
Detection of loop closure in SLAM: A DeconvNet based approach
A new evolutionary algorithm with locally assisted heuristic for complex detection in protein interaction networks
New fuzzy wavelet neural networks for system identification and control
A fresh approach to evaluate performance in distributed parallel genetic algorithms
A note on the learning automata based algorithms for adaptive parameter selection in PSO
Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete
Dual-mutation mechanism-driven snake optimizer for scheduling multiple budget constrained workflows in the cloud
Evolutionary reinforcement learning for explainable recommendation on knowledge graph
Bayesian analysis of time series using granular computing approach
Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles
FL-Sleep: Temperature adaptive multi-attribute sleep-scheduling algorithm using hesitant fuzzy logic for Wireless Sensor Networks
Classification of DNA microarrays using artificial neural networks and ABC algorithm
Multiobjective coverage path planning: Enabling automated inspection of complex, real-world structures
The algorithmic composition for music copyright protection under deep learning and blockchain
A binary tree seed algorithm with selection-based local search mechanism for huge-sized optimization problems
A dual-branch encoder context-aware fusion network for ultrasound image segmentation
A distance-based three-way conflict analysis for fuzzy multiset
A light-weight skeleton human action recognition model with knowledge distillation for edge intelligent surveillance applications
Non-additive robust ordinal regression: A multicriteria decision model based on hierarchical-level-bidirectional Choquet integral
Acceleration harmonics estimation and elimination with MABC-RLS algorithm: Simulation and experimental analyses on shaking table
Improving decision making approaches based on fuzzy soft sets and rough soft sets
Expeditious COVID-19 similarity measure tool based on consolidated SCA algorithm with mutation and opposition operators
Developing a hybrid artificial intelligence model for outpatient visits forecasting in hospitals
Optimal harmonics prediction for distribution systems powered by multi-energy sources using bidirectional long-short term memory combined with data sequence
Assessing customer satisfaction of O2O takeaway based on online reviews by integrating fuzzy comprehensive evaluation with AHP and probabilistic linguistic term sets
Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image
Applying fuzzy scenarios for the measurement of operational risk
A green 4-dimensional multi objective transportation system for disaster relief operations under time-sequential complex fermatean framework with safety measure
Performance evaluation of efficient multi-objective evolutionary algorithms for design space exploration of embedded computer systems
An innovative design of a hybrid chain coding algorithm for bi-level image compression using an agent-based modeling approach
Decomposition based cross-parallel multiobjective genetic programming for symbolic regression
MetaNChemo: A meta-heuristic neural-based framework for chemometric analysis
Graphical EM for on-line learning of grammatical probabilities in radar Electronic Support
Signature kernel ridge regression time series model: A novel approach for hydrological drought modeling using multi-station meteorological drought information
RAM analysis of repairable industrial systems utilizing uncertain data
Dual-stream spatio-temporal decoupling network for video deblurring
Consensus kernel subspace clustering based on coefficient discriminant information
Adjusted SpikeProp algorithm for recurrent spiking neural networks with LIF neurons
Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
Using differential evolution and Moth-Flame optimization for scientific workflow scheduling in fog computing
Parameter identification of DC arc models using chaotic quantum cuckoo search
High-speed autonomous navigation system for heavy vehicles
Growing topology representing network
A completely new view to soft intersection rings via soft uni-int product
A novel multiple-criteria decision-making-based FMEA model for risk assessment
Selection of wire electrical discharge machining process parameters using non-traditional optimization algorithms
A multi-objective centralised agent-based optimisation approach for vehicle routing problem with unique vehicles
Machine learning based improved cross-project software defect prediction using new structural features in object oriented software
Mitigating over-squashing in graph few-shot learning by leveraging local and global similarities
A two-dimensional multilevel thresholding method for image segmentation
Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification
State-space recurrent neural networks for predictive analytics and latent state estimation
Blind de-convolution of images degraded by atmospheric turbulence
Self-growth learning-based machine scheduler to minimize setup time and tardiness in OLED display semiconductor manufacturing
A novel hybrid algorithm of gravitational search algorithm with genetic algorithm for multi-level thresholding
EDCNNS: Federated learning enabled evolutionary deep convolutional neural network for Alzheimer disease detection
An empirical framework for defect prediction using machine learning techniques with Android software
Change point determination for a multivariate process using a two-stage hybrid scheme
Expensive multiobjective optimization based on sequence learning of long-short-term-memory model
A nonlinear method of learning neuro-fuzzy models for dynamic control systems
Online advertising assignment problem without free disposal
Aggregating opinions in non-uniform ordered qualitative scales
A new hybrid approach for dynamic continuous optimization problems
Deep learning and Boosted trees for injuries prediction in power infrastructure projects
X-ray image analysis for explosive circuit detection using deep learning algorithms
Joint hierarchical multi-granularity adaptive embedding discriminative learning for unsupervised domain adaptation
Optimizing deep learning predictive models: A comprehensive review of RNN and its variant architectures
A novel method for automatic modulation recognition
A multi-subgroup decision-making method for design selection based on subjective reports and objective physiological index data
Improved learning efficiency of deep Monte-Carlo for complex imperfect-information card games
Two-stage greedy algorithm based on crowd sensing for tour route recommendation
GRU-ARX model-based adaptive error compensation predictive control strategy with application to quadrotor
Protein-peptide interaction region residues prediction using a generative sampling technique and ensemble deep learning-based models
HumanMoD: A multi-RAG collaborative LLM for inclusive urban public healthcare services
A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
A new type-2 fuzzy multi-criteria hybrid method for rail transit operation safety assessment
Fuzzy hypothesis testing: Systematic review and bibliography
Sparse Double-Geometric Nonlocal Mean image recovery via steerable kernel
Evaluation of metaverse-based digital transformation strategies via an interval-valued q-rung orthopair fuzzy methodology
A modified squirrel search algorithm based on improved best fit heuristic and operator strategy for bin packing problem
Hybrid neural network models for hydrologic time series forecasting
Adaptive elitist-ant system for solving combinatorial optimization problems
Modelling plant control strategies and their applications into a knowledge-based system
Incremental rare pattern based approach for identifying outliers in medical data
A composite weighted human learning network and its application for modeling of the intermediate point temperature in USC
FFNN: Fractional order basis function multi-step neural network method for fractional partial differential equations
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA
Heterogeneous collaborative filtering contrastive learning for social recommendation
Multimodal dynamic graph convolutional network for crowdfunding success prediction
Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms
A fast instance selection method for support vector machines in building extraction
Style transfer image steganography based on GANs with frequency domain attention and autoencoder networks
A consistency model for group decision making problems with interval multiplicative preference relations
Type-2 picture fuzzy VIKOR approach based on TODIM for evaluating last-leg delivery in metro cities in India
An optimized support vector regression for prediction of bearing degradation
Screening alternatives considering different evaluation index sets: A method based on soft set theory
Mission-oriented ant-team ACO for min-max MTSP
Network self attention for forecasting time series
Modeling a stress signal
Using IDS fitted Q to develop a real-time adaptive controller for dynamic resource provisioning in Cloud's virtualized environment
Automatic identification of modal parameters for high arch dams based on SSI incorporating SSA and K-means algorithm
The induced generalized aggregation operators for intuitionistic fuzzy sets and their application in group decision making
Adaptive neighborhood size and effective geometric features selection for 3D scattered point cloud classification
A reinforcement learning decision model for online process parameters optimization from offline data in injection molding
An adaptive response surface method and Gaussian global-best harmony search algorithm for optimization of aircraft stiffened panels
A systematic literature review on machine learning and deep learning-based covid-19 detection frameworks using X-ray Images
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
QPSO algorithm based on Lévy flight and its application in fuzzy portfolio
Local search versus Path Relinking in metaheuristics: Redesigning Meta-RaPS with application to the multidimensional knapsack problem
Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine
Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A tool for comorbidity risk assessment
Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic
Path planning approach based on flock dynamics of moving particles
Generation reliability assessment in power markets using Monte Carlo simulation and soft computing
Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction
Short-term wind power forecasting based on multivariate/multi-step LSTM with temporal feature attention mechanism
Few-shot outliers classification in high-speed railway track geometry based on self-supervised transformer
Construction of a new BRB based model for time series forecasting
Incentivizing fairness-aware task allocation in mobile crowdsensing with sweep coverage and stability control
Bayberry segmentation in a complex environment based on a multi-module convolutional neural network
Collaborative recommendation model based on multi-modal multi-view attention network: Movie and literature cases
Design of deep learning networks for nonlinear delay differential system for Stuxnet virus spread in an air gapped critical environment
A solid transportation problem with type-2 fuzzy variables
H infinity output feedback control for fuzzy systems with immeasurable premise variables: Discrete-time case
An adaptively reversed diffusion dual-drive evolutionary algorithm in dynamic environments for intelligence prediction
An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design
Gabor Log-Euclidean Gaussian and its fusion with deep network based on self-attention for face recognition
Mutual gain adaptive network for segmenting brain stroke lesions
A two level real-time path planning method inspired by cognitive map and predictive optimization in human brain
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids
Mining disjunctive consequent association rules
A medical big data access control model based on fuzzy trust prediction and regression analysis
An improved discrete immune optimization algorithm based on PSO for QoS-driven web service composition
Graph neural networks for the offline nanosatellite task scheduling problem
Assessing countries' performances against COVID-19 via WSIDEA and machine learning algorithms
Boosting fuzzy classification rules under footprint of uncertainty of type-2 fuzzy sets
HACH: Heuristic Algorithm for Clustering Hierarchy protocol in wireless sensor networks
Dynamic trajectory partition optimization method based on historical trajectory data
Genetically optimized Fuzzy C-means data clustering of IoMT-based biomarkers for fast affective state recognition in intelligent edge analytics
A fuzzy genetic algorithm for automatic orthogonal graph drawing
Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures
Softly combining an ensemble of classifiers learned from a single convolutional neural network for scene categorization
Time series classification and creation of 2D bifurcation diagrams in nonlinear dynamical systems using supervised machine learning methods
Particle swarm optimization assisted joint transmit/receive antenna combining for multiple relays in cooperative MIMO systems
MPCMamba: Privacy-preserving inference for Mamba models via secure multi-party computation
RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system
A novel blood supply management model using evolutionary neural network
A Q-learning based genetic algorithm for collaborative optimization of import container allocation and yard crane deployment in container terminal
Integrated RBF networks for periodic extensions for solving boundary value problems
Editorial note
An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems
Co-evolutionary algorithms to solve hierarchized Steiner tree problems in telecommunication networks
Three-way decisions with dual hesitant fuzzy covering-based rough set and their applications in medical diagnosis
A novel fused neural network controller for lateral control of autonomous vehicles
Multi-objective path planning in discrete space
Using Deep Learning for price prediction by exploiting stationary limit order book features
Knowledge transfer in system modeling and its realization through an optimal allocation of information granularity
A heuristic approach for optimal integrated airline schedule design and fleet assignment with demand recapture
Towards sustainable resource allocation in agriculture: A systematic review on cropping pattern optimization approaches
Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training
A multi-objective and evolutionary hyper-heuristic applied to the Integration and Test Order Problem
Towards an agent-oriented approach to conceptualization
C-BDCLSTM: A false emotion recognition model in micro blogs combined Char-CNN with bidirectional dilated convolutional LSTM
A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction
3D CAD model dynamic clustering based on inertial feature encoder
An enhanced classification method comprising a genetic algorithm, rough set theory and a modified PBMF-index function
The Bisection-Artificial Bee Colony algorithm to solve Fixed point problems
Detection algorithm for color dynamic images by multiple surveillance cameras under low luminance conditions based on fuzzy corresponding map
Inferring Absolutely Non-Circular Attribute Grammars with a Memetic Algorithm
L1-norm twin support vector quantile regression
Elastic net regularized kernel non-negative matrix factorization algorithm for clustering guided image representation
Fuzzy clustering for multiview data by combining latent information
BLDC motor speed control system fault diagnosis based on LRGF neural network and adaptive lifting scheme
A multi-scale analysis method with multi-feature selection for house prices forecasting
Simulating phenomenal consciousness using generative agents based on large language models
A meta-heuristic framework for forecasting household electricity consumption
Progressive neighbors pursuit for radar images classification
Deep reinforcement learning algorithms for dynamic pricing and inventory management of perishable products
BIM-aided large-scale group decision support: Optimization of the retrofit strategy for existing buildings
Boxing action recognition using inertial data and deep learning
Automatic identification of butterfly species based on local binary patterns and artificial neural network
An extended Fuzzy-AHP approach to rank the influences of socialization-externalization-combination-internalization modes on the development phase
Delay-sensitive task offloading and efficient resource allocation in intelligent edge-cloud environments: A discretized differential evolution-based approach