yusuke1997/dblp-id-title huggingface dataset:
A collusion attack optimization framework toward spread-spectrum fingerprinting
Data collection path planning with spatially correlated measurements using growing self-organizing array
A simulated annealing method based on a specialised evolutionary algorithm
Improving the performance of fault diagnosis network via interpretable projection information
Lazy fine-tuning algorithms for naïve Bayesian text classification
A multi-source domain adaptation approach with learning domain-specific representations for bearing fault diagnosis under limited samples
A neuro-fuzzy approach for prediction of human work efficiency in noisy environment
Competition-guided multi-neighborhood local search algorithm for the university course timetabling problem
FPGA implementation of population-based ant colony optimization
Joint optimization of signal control and speed planning at isolated mixed-traffic signalized intersections
A multiobjective fuzzy clustering method for change detection in SAR images
Intelligent process modeling and optimization of die-sinking electric discharge machining
An improved artificial bee colony algorithm and its application to reliability optimization problems
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges
CRT-Net: A generalized and scalable framework for the computer-aided diagnosis of Electrocardiogram signals
Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography
Globalized and localized matrix-pattern-oriented classification machine
Recognition of power quality disturbances using S-transform based ruled decision tree and fuzzy C-means clustering classifiers
Dual hesitant fuzzy power aggregation operators based on Archimedean t-conorm and t-norm and their application to multiple attribute group decision making
PIFHC: The Probabilistic Intuitionistic Fuzzy Hierarchical Clustering Algorithm
Oil spill segmentation in SAR images using convolutional neural networks. A comparative analysis with clustering and logistic regression algorithms
A physics-aware learning architecture with input transfer networks for predictive modeling
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems
A fuzzy matrix factor recommendation method with forgetting function and user features
Speed control of Brushless DC motor using bat algorithm optimized Adaptive Neuro-Fuzzy Inference System
A novel improved SMA with quasi reflection operator: Performance analysis, application to the image segmentation problem of Covid-19 chest X-ray images
Medical data classification using interval type-2 fuzzy logic system and wavelets
Residual LSTM based short-term load forecasting
Facing dynamic optimization using a cooperative metaheuristic configured via fuzzy logic and SVMs
Tourism destination events classifier based on artificial intelligence techniques
Graph Sample and Aggregate Attention Network optimized with Barnacles Mating Algorithm based Sentiment Analysis for Online Product Recommendation
Rough set based incremental crime report labelling in dynamic environment
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
Hesitant fuzzy Hamacher aggregation operators for multicriteria decision making
A new evolutionary multi-objective community mining algorithm for signed networks
Terrain-aware morphology searching algorithm for self-reconfigurable modular robot in dynamic environment
Multi-agent modeling for solving profit based unit commitment problem
Evolutionary neural architecture search with dual contrastive learning
An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images
Ensembles strategies for backtracking search algorithm with application to engineering design optimization problems
Pellet image segmentation model of superpixel feature-based support vector machine in digital twin
A hybrid multi-objective AIS-based algorithm applied to simulation-based optimization of material handling system
Parameter determination of support vector machine and feature selection using simulated annealing approach
Security optimal power flow considering loading margin stability using hybrid FFA-PS assisted with brainstorming rules
A fuzzy collaborative forecasting approach considering experts' unequal levels of authority
Application of online multitask learning based on least squares support vector regression in the financial market
Particle swarm-differential evolution algorithm with multiple random mutation
Time-series weather prediction in the Red sea using ensemble transformers
A hypervolume-based cuckoo search algorithm with enhanced diversity and adaptive scaling factor
Modeling nonlinear behavior of Buckling-Restrained Braces via different artificial intelligence methods
Querying informative constraints for data clustering: An embedding approach
Optimization of hybrid renewable energy system in radial distribution networks considering uncertainty using meta-heuristic crow search algorithm
A two stage fuzzy piecewise logistic model for penetration forecasting
Evaluating example-based explainable artificial intelligence methods for breast cancer diagnosis
Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Efficiently tracking multi-strategic opponents: A context-aware Bayesian policy reuse approach
A rapid structural damage detection method using integrated ANFIS and interval modeling technique
Evaluation and benchmarking of research-based microgrid systems using FWZIC-VIKOR approach for sustainable energy management
How to select plan in emergency decision-making? A two-stage method with case-based reasoning and prospect theory
Optimizing memory-efficient multimodal networks for image classification using differential evolution
EAD-net: Multi-scale wavelet mamba network for early Alzheimer's disease diagnosis
Matrix representations of the inverse problem in the graph model for conflict resolution with fuzzy preference
Electric network frequency-based digital audio tampering event identification using multimodal feature interaction network
Evaluation and prioritization of software packages for remote education assistance using picture fuzzy comprehensive distance-based ranking approach
Binary particle swarm optimisation with quadratic transfer function: A new binary optimisation algorithm for optimal scheduling of appliances in smart homes
A parallel multi-objective particle swarm optimization for cascade hydropower reservoir operation in southwest China
DNN surrogates for turbulence closure in CFD-based shape optimization
Failure mode and effect analysis: An interval-valued intuitionistic fuzzy cloud theory-based method
A discrete squirrel search algorithm for the surgical cases assignment problem
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies
Helper-objective optimization strategies for the Job-Shop Scheduling Problem
Using meta-heuristics for project scheduling under mode identity constraints
An adaptive genetic algorithm with neighborhood search for integrated O2O takeaway order assignment and delivery optimization by e-bikes with varied compartments
Identification of facial expression using a multiple impression feedback recognition model
Optimization of roadway support schemes with likelihood-based MABAC method
Expected hesitant VaR for tail decision making under probabilistic hesitant fuzzy environment
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data
Optimising genes selection with greedy heuristic fuzzy clustering for binary classification problems
Hesitant fuzzy linguistic portfolio model with variable risk appetite and its application in the investment ratio calculation
An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system
Artificial immune systems applied to fault detection and isolation: A brief review of immune response-based approaches and a case study
Analyzing critical success factors for green supplier selection: A combined DEMATEL-ISM approach and convolutional neural network based consensus model
A multi-strategy three-way decision approach for tri-state risk loss under q-rung orthopair fuzzy environment
Predictive control of a building hybrid heating system for energy cost reduction
Discrete cooperative particle swarm optimization for FPGA placement
A new discretization algorithm based on range coefficient of dispersion and skewness for neural networks classifier
A time-aware self-attention based neural network model for sequential recommendation
An effective approach for determining the class integration test order using reinforcement learning
Dynamic trend fusion module for traffic flow prediction
Automatic clustering and feature selection using multi-objective crow search algorithm
Differential evolution algorithm with cosine similarity-based individual reduction and symmetric uncertainty-based attribute recovery for feature selection
Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems
Scale-aware triple semantic deep network for polarimetric SAR image classification
Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks
NCC: Neural concept compression for multilingual document recommendation
Aspect-based context iterative network with hyperbolic tangent function for aspect-based sentiment classification
Strategy for mining association rules for web pages based on formal concept analysis
Adaptive multi-objective competitive swarm optimization algorithm based on kinematic analysis for municipal solid waste incineration
Advancement of artificial intelligence applications in hydrocarbon well drilling technology: A review
A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry
Polarimetric SAR image classification based on superpixel content-aware and semi-supervised ViT network
An Artificial Bee Colony algorithm with guide of global & local optima and asynchronous scaling factors for numerical optimization
Joint dual-stream interaction and multi-scale feature extraction network for multi-spectral pedestrian detection
A novel deep reinforcement learning model based on DDPG considering attention mechanism and combined with GRU network for short-term load forecasting
A novel evolutionary approach for learning syntactic features for cross domain opinion target extraction
Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study
Two storage inventory model of a deteriorating item with variable demand under partial credit period
Flexible control of Discrete Event Systems using environment simulation and Reinforcement Learning
Closed-form solution based genetic algorithm software: Application to multiple cracks detection on beam structures by static tests
Summit-Training: A hybrid Semi-Supervised technique and its application to classification tasks
Sequence-to-sequence digital twin model in chemical plants with internal rolling training algorithm
Hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in abrasive waterjet machining
Generative high-capacity image hiding based on residual CNN in wavelet domain
An efficient manta ray foraging optimization algorithm with individual information interaction and fractional derivative mutation for solving complex function extremum and engineering design problems
Learning-based stochastic multi-objective optimizer for uncertain power system scheduling
Multi-item 4D-TPs under budget constraint using rough interval
Brain-computer interface channel selection optimization using meta-heuristics and evolutionary algorithms
Consistency-informed progressive learning and segment anything model for edge detection
A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives
Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells
A new color image encryption scheme based on DNA sequences and multiple improved 1D chaotic maps
Finding a needle in a haystack using hints and evolutionary computation: the case of evolutionary MasterMind
Industrial power quality enhancement using fuzzy logic based photovoltaic integrated with three phase shunt hybrid active filter and adaptive controller
A personalized classification model using similarity learning via supervised autoencoder
FIAO: Feature Information Aggregation Oversampling for imbalanced data classification
Dynamic event-triggered adaptive fuzzy admittance control of robotic systems with uncertainties
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems
EEG classification for the detection of mental states
CaRGI: Causal semantic representation learning via generative intervention for single domain generalization
A novel ant-based clustering algorithm using Renyi entropy
Special issue on fuzzy systems for biomedical science in healthcare
The Fuzzified Grey Wolf: An improved grey wolf optimizer based on dynamic fuzzy system FGWO
A modified support vector data description based novelty detection approach for machinery components
An improved teaching-learning-based optimization algorithm and its application to a combinatorial optimization problem in foundry industry
Machine learning assistive application for users with speech disorders
Artificial intelligence in healthcare: A comprehensive survey on AI-driven diagnosis and patient monitoring
A fuzzy-filtered neuro-fuzzy framework for software fault prediction for inter-version and inter-project evaluation
Nonlinear optimization with a massively parallel Evolution Strategy-Pattern Search algorithm on graphics hardware
Optimal parameter tuning of Modified Active Disturbance Rejection Control for unstable time-delay systems using an AHP combined Multi-Objective Quasi-Oppositional Jaya Algorithm
A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution
Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps
WOA-TLBO: Whale optimization algorithm with Teaching-learning-based optimization for global optimization and facial emotion recognition
A comprehensive review on multi robot task assignment and path planning: Operational constraints, challenges, and potentials of deep reinforcement learning
A new decomposition ensemble model for stock price forecasting based on system clustering and particle swarm optimization
Learning dynamic simultaneous clustering and classification via automatic differential evolution and firework algorithm
Improving Ant Colony Optimization efficiency for solving large TSP instances
Disentangling multi-factor effects via graph contrastive learning for travel recommendation
Graph-based analysis of problem space and genetic programming classifier performance using optimal transport dataset distance
A clustering-based adaptive undersampling ensemble method for highly unbalanced data classification
A population dynamics model to describe gene frequencies in evolutionary algorithms
An inverse-distance weighting genetic algorithm for optimizing the wafer exposure pattern for enhancing OWE for smart manufacturing
A Q-learning based estimation of distribution algorithm for automated guided vehicle scheduling in disassembly workshop
A multi-objective programming method for solving network DEA
A generalized dynamic fuzzy neural network based on singular spectrum analysis optimized by brain storm optimization for short-term wind speed forecasting
A parallel simulated annealing algorithm based on functional feature tree modeling for 3D engineering layout design
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
Point cloud registration based on the dark forest algorithm and its application in coal industry
AI-driven predictive maintenance using an enhanced TOPSIS approach for complex fuzzy information with Z-numbers
Fuzzy logic techniques for navigation of several mobile robots
Model-free control based on reinforcement learning for a wastewater treatment problem
Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method
A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines
Taking advantage of improved resource allocating network and latent semantic feature selection approach for automated text categorization
Automatic revision of the control knowledge used by trial and error methods: Application to cartographic generalisation
A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR
Adaptive fuzzy wavelet neural network filter for hand tremor canceling in microsurgery
Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition
Choice range based MCDM approach in leukemia therapy selection under generalized n-polygonal fuzzy environment
Medical waste disposal planning for healthcare units using spherical fuzzy CRITIC-WASPAS
Open pit mine production schedule optimization using a hybrid of maximum-flow and genetic algorithms
A formal approach to candlestick pattern classification in financial time series
A rough-set and AI based approach for hierarchical cognitive processing of perceptions
Prediction and reduction of diesel engine emissions using a combined ANN-ACO method
A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications
Analysis and validation of wavelet transform based DC fault detection in HVDC system
ARNN-QA: Adaptive Recurrent Neural Network with feature optimization for incremental learning-based Question Answering system
Ordered weighted utility distance operators and their applications in group decision-making
A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research
A multiscale separable convolution network with lightweight spatiotemporal attention for remaining useful life prediction
Two-phase optimization for support vectors and parameter selection of support vector machines: Two-class classification
Variable weights combined model based on multi-objective optimization for short-term wind speed forecasting
Review on meta-heuristics approaches for airside operation research
A comprehensive study of practical economic dispatch problems by a new hybrid evolutionary algorithm
Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems
Parameter extraction of solar photovoltaic models using queuing search optimization and differential evolution
Data-driven multi-phase constrained optimization based on multi-surrogate collaboration mechanism and space reduction strategy
An evolutionary framework using particle swarm optimization for classification method PROAFTN
Risk assessment model with probabilistic linguistic fuzzy inference methods for maritime piracy crime and applications
Combination of features through weighted ensembles for image classification
A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots
Linguistic scale consistency issues in multi-granularity decision making contexts
Decoding the third dimension in the metaverse: A comprehensive method for reconstructing 2D NFT portraits into 3D models
Sequential unsupervised-supervised learning for clustering time-dependent patterns using ellipsoidal calculus
Align, enhance and read: Scene Tibetan text recognition with cross-sequence reasoning
MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection
HD-NSA: A real-valued negative selection algorithm based on hierarchy division
Design of dual-dimensional controller based on multi-objective gravitational search optimization algorithm for amelioration of impact of oscillation in power generated by large-scale wind farms
Fault transfer diagnosis of rolling bearings across different devices via multi-domain information fusion and multi-kernel maximum mean discrepancy
Prediction of manually controlled vessels' position and course navigating in narrow waterways using Artificial Neural Networks
A generative neural network model for the quality prediction of work in progress products
Fitness inheritance in multiple objective evolutionary algorithms: A test bench and real-world evaluation
A novel hybrid bat algorithm for solving continuous optimization problems
Cooperative DNN partitioning for accelerating DNN-empowered disease diagnosis via swarm reinforcement learning
A study on visual sensor network cross-layer resource allocation using quality-based criteria and metaheuristic optimization algorithms
Predicting the eddy current loss of a large nuclear power turbo generator using a fuzzy c-means deep Gaussian process regression model
Weight minimization of trusses with genetic algorithm
ML-MDLText: An efficient and lightweight multilabel text classifier with incremental learning
Adaptive force-environment estimator for manipulators based on adaptive wavelet neural network
On the feasibility of using evolvable hardware for hardware Trojan detection and prevention
An asymmetric Choquet integral-based TODIM linguistic FMEA method with interacting risk factors and incomplete weight information
Simultaneous feature selection and symmetry based clustering using multiobjective framework
On the extraction of decision support rules from fuzzy predictive models
Short-term hydrothermal generation scheduling using improved predator influenced civilized swarm optimization technique
CARR: Camera-aware reciprocal refinement for unsupervised visible-infrared person re-identification
Multivariate influence through neural networks ensemble: Study of Saharan dust intrusion in the Canary Islands
A multi-objective artificial butterfly optimization approach for feature selection
Automatic diagnosis of cardiac arrhythmia in electrocardiograms via multigranulation computing
Robust abdominal organ segmentation using regional convolutional neural networks
A new algorithmic approach to linguistic valued soft multi-criteria group decision-making problems using linguistic scale function
Graphics processing unit-enabled path planning based on global evolutionary dynamic programming and local genetic algorithm optimization
Classification-wise and cluster-wise contrastive learning for graph neural recommendation
MS-SVM: Minimally Spanned Support Vector Machine
Multi-objective railway alignment optimization considering costs and environmental impacts
An efficient memetic algorithm for total weighted tardiness minimization in a single machine with setups
A matheuristic framework for batch machine scheduling problems with incompatible job families and regular sum objective
Novelty detection for multi-label stream classification under extreme verification latency
Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic
Multi-objective simplified swarm optimization with weighting scheme for gene selection
A lightweight odometry network for GNSS/INS integration during GNSS outages
A robust fuzzy stochastic multi-objective model for stone paper closed-loop supply chain design considering the flexibility of soft constraints based on Me measure
A two-stage deep counting for bacterial colonies from multi-sources