yusuke1997/dblp-id-title huggingface dataset:
Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning
A novel approach to adaptive relational association rule mining
Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer
Development of scheduling strategies with Genetic Fuzzy systems
Combining binary classifiers in different dichotomy spaces for text categorization
Mathematical model and bee algorithms for mixed-model assembly line balancing problem with physical human-robot collaboration
A fuzzy hierarchical operator in the grey wolf optimizer algorithm
Heuristic-based neural networks for stochastic dynamic lot sizing problem
Towards the automation of intelligent data analysis
Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization
An application of fuzzy soft sets to a real-life problem: Classification of wood materials to prevent fire-related injuries and deaths
Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies
A regime-switching recurrent neural network model applied to wind time series
Integrating clustering with LSTM diffusion for video anomaly detection
Using Multilayer Fuzzy Cognitive Maps to diagnose Autism Spectrum Disorder
Solving low-carbon last mile delivery problem using discrete marine predators algorithm
A gene selection algorithm using simplified swarm optimization with multi-filter ensemble technique
Fast sharpness-aware training for periodic time series classification and forecasting
Weighted principal component extraction with genetic algorithms
Symbolic regression-aided hyperparameter relationship for developing ANN for fragility prediction
An oriented spanning tree based genetic algorithm for multi-criteria shortest path problems
Vector-valued ensemble regression model based on additive Gaussian process and sufficient dimension reduction
Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database
A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
Early neurological deterioration detection with a transformer convolutional auto-encoder model
Approximating alpha-cut operations approach for effective and efficient fuzzy analytic hierarchy process analysis
A hybrid Grey Wolf Optimization and Particle Swarm Optimization with C4.5 approach for prediction of Rheumatoid Arthritis
Fuzzy quality assessment of gridded approximations
Capsule Neural Networks for structural damage localization and quantification using transmissibility data
Possibility Extent and Possible Alternatives Preorder Type-2 Fuzzy Analytical Hierarchy Process (PE&PAP-AHP) to improve pharmaceutical R&D productivity
Automatized fuzzy evaluation of CT scan heart slices for creating 3D/4D heart model
Consensus analysis for a class of stochastic PSO algorithm
Particle swarm optimization with adaptive population size and its application
New approaches to determine age and gender in image processing techniques using multilayer perceptron neural network
A closed-loop dual-channel supply chain network for leather products: An integrated simulation optimization clustering approach
A self-adaptive joint bandwidth allocation scheme for heterogeneous wireless networks
Large language models for cyber resilience: A comprehensive review, challenges, and future perspectives
Associative cellular learning automata and its applications
Sequence encoding incorporated CNN model for Email document sentiment classification
Cloud detection in satellite images using multi-objective social spider optimization
A K-means triangular synthesis large margin classifier with unified pinball loss for imbalanced data
Combining dynamic adaptive snake algorithm with perturbation and observation for MPPT in PV systems under shading conditions
A fast parameter optimization approach based on the inter-cluster induced distance in the feature space for support vector machines
A computer vision approach for weeds identification through Support Vector Machines
Multi-mechanism swarm optimization for multi-UAV task assignment and path planning in transmission line inspection under multi-wind field
HilbertSCNet: Self-attention networks for small target segmentation of aerial drone images
Quantum Fruit Fly algorithm and ResNet50-VGG16 for medical diagnosis
Bagging ensemble models for bank profitability: An emprical research on Turkish development and investment banks
Generating synthetic benchmark circuits for accelerated life testing of field programmable gate arrays using genetic algorithm and particle swarm optimization
A feature selection model for software defect prediction using binary Rao optimization algorithm
Configuration space evolutionary algorithm for multi-objective unequal-area facility layout problems with flexible bays
Optimal control for stochastic linear quadratic singular Takagi-Sugeno fuzzy delay system using genetic programming
Equipping high-order fuzzy cognitive map with interpretable weights for multivariate time series forecasting
Modeling and solving constrained two-sided assembly line balancing problem via bee algorithms
A novel adaptive learning deep belief network based on automatic growing and pruning algorithms
Rough membership c-means clustering algorithm based on composite granulation and Mahalanobis distance
Cross-domain commercial site selection from Changsha to Wuhan in China using transfer learning
Cross-age crash risk analysis with high-dimensional small-sample data: An approach integrating feature augmentation and two-layer stacking
Mapping verbal AHP scale to numerical scale for cloud computing strategy selection
Interval type-2 fuzzy set based block-SBU for image fusion technique
Discrete Differentiated Creative Search for traveling salesman problem
Comprehensive benefit evaluation of mineral resources development based on dual population constrained multi-objective evolutionary algorithm
Three-teaching: A three-way decision framework to handle noisy labels
An efficient three-Level parallel ABC algorithm for secondary structure prediction of complex RNA sequences
MSA-GCN: A multi-modal spatiotemporal attention graph convolutional network for robust bearing fault diagnosis in noisy environments
Fuzzy MCDM approach for selecting the best environment-watershed plan
Augmented support vector regression with an autoregressive process via an iterative procedure
A kernel-free Laplacian quadratic surface optimal margin distribution machine with application to credit risk assessment
Biased random key genetic algorithm for the Tactical Berth Allocation Problem
Failure mode and effects analysis based on a novel fuzzy evidential method
A new methodology to improve interpretability in neuro-fuzzy TSK models
Time-series clustering based on linear fuzzy information granules
Hybrid control of the three phase induction machine using artificial neural networks and fuzzy logic
Observer-based adaptive neural control of robotic systems with prescribed performance
Robust visual object tracking via synergistic perceiving state changes and regulated communication
Decision rules for ambulance scheduling decision support systems
Nearest neighbour cuckoo search algorithm with probabilistic mutation
Discovering driving strategies with a multiobjective optimization algorithm
Attribute reduction in incomplete ordered information systems with fuzzy decision
Modeling and analysis of factors affecting repair effectiveness of repairable systems using Bayesian network
Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique
Data selection based on decision tree for SVM classification on large data sets
FH-ACO: Fuzzy heuristic-based ant colony optimization for joint virtual network function placement and routing
CNN-based transfer learning-BiLSTM network: A novel approach for COVID-19 infection detection
A new semi-supervised fuzzy clustering method based on latent representation learning and information fusion
Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression
Combining multiple classifiers to quantitatively rank the impact of abnormalities in flight data
Parameter estimation for crop growth model using evolutionary and bio-inspired algorithms
Position computation models for high-speed train based on support vector machine approach
Wind power forecasting: A multi-task learning framework based on hybrid model and knowledge sharing
An improved water flow-like algorithm for order acceptance and scheduling with identical parallel machines
State-space approach to adaptive fuzzy modeling for financial investment
Enhancing earth dam slope stability prediction with integrated AI and statistical models
A hardware/software partitioning algorithm based on artificial immune principles
Hybrid approach of optimization applied to an inverse problem in the dynamic modeling of a three-floor structure
Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach
A Relation B-cell Network used for data identification and fault diagnosis
Depress-DCNF: A deep convolutional neuro-fuzzy model for detection of depression episodes using IoMT
A novel phase angle-encoded fruit fly optimization algorithm with mutation adaptation mechanism applied to UAV path planning
Chaotic krill herd algorithm for optimal reactive power dispatch considering FACTS devices
A hybrid OC-GA approach for fast and global truss optimization with frequency constraints
Differential Evolution Classifier in Noisy Settings and with Interacting Variables
An effective Parallel Integrated Neural Network System for industrial data prediction
Thermal-aware floorplanner for 3D IC, including TSVs, liquid microchannels and thermal domains optimization
Federated cross-chain trust training for distributed smart grid in Web 3.0
An effective multi-objective hybrid immune algorithm for the frequency assignment problem
Intuitionistic fuzzy EM-SWARA-TOPSIS approach based on new distance measure to assess the medical waste treatment techniques
Multiple global optima location using differential evolution, clustering, and local search
A novel internal validity index based on the cluster centre and the nearest neighbour cluster
Boosting cattle face recognition under uncontrolled scenes by embedding enhancement and optimization
Social image mining for fashion analysis and forecasting
An interval neural network-based Caputo fractional-order extreme learning machine applied to classification
Multi-focus image fusion using biochemical ion exchange model
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms
Covering of fuzzy graphs and its application in emergency aircraft landing using particle swarm optimization method
An end-to-end deep learning framework for the portfolio optimization with stop-loss orders
Multi-objective scheduling of a single mobile robot based on the grey wolf optimization algorithm
Reinforcement learning based adaptive PID controller design for control of linear/nonlinear unstable processes
A modified ABC algorithm based on improved-global-best-guided approach and adaptive-limit strategy for global optimization
Suspended sediment concentration estimation by stacking the genetic programming and neuro-fuzzy predictions
Model-data co-driven U-net segmentation network for multimodal lung tumor images
Integration of object detection and semantic segmentation based on convolutional neural networks for navigation and monitoring of cyanobacterial blooms in lentic water scenes
A new grey prediction model and its application to predicting landslide displacement
Using empirical wavelet transform and high-order fuzzy cognitive maps for time series forecasting
On the evolution of ellipsoidal recognition regions in Artificial Immune Systems
Gene discretization based on EM clustering and adaptive sequential forward gene selection for molecular classification
Quantifying influences in the qualitative probabilistic network with interval probability parameters
A MADM framework for classifying wireless sensor networks in industrial automation and monitoring using hesitant bipolar complex fuzzy dombi power operators
Combining deterministic modelling with artificial neural networks for suspended sediment estimates
Path planning using a Multiclass Support Vector Machine
A survey on load frequency control using reinforcement learning-based data-driven controller
A combinatorial social group whale optimization algorithm for numerical and engineering optimization problems
Group maintenance based on deep hierarchical reinforcement learning and multi-stage degradation analysis
Rough-wavelet granular space and classification of multispectral remote sensing image
A modified approach to cross entropy method: Elitist stepped distribution algorithm
A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints
Combining heterogeneous classifiers via granular prototypes
Speed up grid-search for parameter selection of support vector machines
A new heuristic based on local best solution for permutation flow shop scheduling
Adaptive fuzzy control of MIMO nonlinear systems with fuzzy dead zones
Enhanced function approximation and applications to image scaling: A new family of exponential sampling neural network Kantorovich operators
Smooth pinball loss nonparallel support vector machine for robust classification
Evolutionary algorithms for multi-objective flexible job shop cell scheduling
Adjoint EKF learning in recurrent neural networks for nonlinear active noise control
Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem
Dynamic random distribution learning rate for neural networks training
Astronomical pipeline processing using fuzzy logic
Hybrid high order neural networks
Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types
Edge AI-driven neural network predictions for replica sync optimization
A memory efficient stochastic evolution based algorithm for the multi-objective shortest path problem
SPS-LCNN: A Significant Point Sampling-based Lightweight Convolutional Neural Network for point cloud processing
A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems
Peak and ultimate stress-strain model of confined ultra-high-performance concrete (UHPC) using hybrid machine learning model with conditional tabular generative adversarial network
Multidimensional Red Fox meta-heuristic for complex optimization
Deep neural network in QSAR studies using deep belief network
Automatically extracting T-S fuzzy models using cooperative random learning particle swarm optimization
Sustainable building material selection: An integrated multi-criteria large group decision making framework
Extremal optimization vs. learning automata: Strategies for spin selection in portfolio selection problems
Improved recognition of bacterial species using novel fractional-order orthogonal descriptors
Evaluating infant development through a novel hybrid intuitionistic fuzzy classification system
Numerical algorithm for optimal control of switched systems and its application in cancer chemotherapy
Assembly sequence planning and optimisation using genetic algorithms: Part I. Automatic generation of feasible assembly sequences
Context-based ensemble method for human energy expenditure estimation
A directed artificial bee colony algorithm
Sparse deep neural networks for modeling aluminum electrolysis dynamics
A multi-strategy surrogate-assisted competitive swarm optimizer for expensive optimization problems
Automated position control of tunnel boring machine during excavation using deep reinforcement learning
Orthogonal learning competitive swarm optimizer for economic dispatch problems
Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization
Pareto Optimal Prediction Intervals with Hypernetworks
Thermally-induced error compensation of spindle system based on long short term memory neural networks
Instance-wise multi-view visual fusion for zero-shot learning
Removal notice to: "Detecting Anomalies within Unmanned Aerial Vehicle (UAV) Video Based on Contextual Saliency" [Appl. Soft Comput. 96 (2020) 106715]
Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach
Efficient Volterra systems identification using hierarchical genetic algorithms
Visual object tracking: Review and challenges
Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs
Production scheduling in industrial mining complexes with incoming new information using tree search and deep reinforcement learning
Parallel quantum-inspired evolutionary algorithms for community detection in social networks
A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems
Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price
A neural network boosting regression model based on XGBoost
Reducing the number of local linear models in neuro-fuzzy modeling: A split-and-merge clustering approach
A multi-population algorithm for multi-objective knapsack problem
A semi-supervised framework for computational fluid dynamics prediction
A joint local spatial and global temporal CNN-Transformer for dynamic facial expression recognition
Multi-objective energy consumption scheduling based on decomposition algorithm with the non-uniform weight vector
Dynamic multi-swarm particle swarm optimizer with cooperative learning strategy
Reliability analysis of geostructures based on metaheuristic optimization
Speech emotion recognition based on meta-transfer learning with domain adaption
An outward search to increase population diversity for optimization algorithms
Spectral Richness PSO algorithm for parameter identification of dynamical systems under non-ideal excitation conditions
Geological and engineering insights from transfer learning with fourier neural operators: A case study of CO2 storage forecasting in disparate saline aquifers
Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty
Recursive surrogate model based on generalized regression neural network
Feature Fusion based Ensemble Method for remaining useful life prediction of machinery
Multi-objective genetic algorithm for multi-view feature selection
Location discovery in Wireless Sensor Networks using metaheuristics
Curve and surface reconstruction from points: an approach based on self-organizing maps
Analysis, modeling, and multi-objective optimization of machining Inconel 718 with nano-additives based minimum quantity coolant
A multi-objective algorithm for crop pattern optimization in agriculture
Multi-objective optimal power flow with stochastic wind and solar power
A particle swarm optimization algorithm with novelty search for combustion systems with ultra-low emissions and minimum fuel consumption
A communication-efficient federated learning approach via dynamic mutual distillation for image recognition
An intensify Harris Hawks optimizer for numerical and engineering optimization problems
Inferring tag co-occurrence relationship across heterogeneous social networks
Compound Linguistic Scale
A novel ant colony optimization based single path hierarchical classification algorithm for predicting gene ontology
A hybrid algorithm combining glowworm swarm optimization and complete 2-opt algorithm for spherical travelling salesman problems
Profit maximization through integrated order acceptance and scheduling: A metaheuristic approach
Semi-supervised partially labeled heterogeneous feature selection based on information-theoretic three-way decision model
Efficient DE-based symbiotic cultural algorithm for neuro-fuzzy system design
KDT-SPSO: A multimodal particle swarm optimisation algorithm based on k-d trees for palm tree detection
Interactive evolutionary generation of facial composites for locating suspects in criminal investigations
Face recognition using transform domain feature extraction and PSO-based feature selection
A genetic reduction of feature space in the design of fuzzy models
Multiple-colony ant algorithm for parallel assembly line balancing problem
An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem
Hybrid multiobjective artificial bee colony for multiple sequence alignment
Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids
The power of ants in solving Distributed Constraint Satisfaction Problems
Multi-module echo state network with variable skip length for chaotic time series prediction
Deep learning-based Bangla text normalization with emotion classification for expressive text-to-speech synthesizer
A synthetic method for knowledge management performance evaluation based on triangular fuzzy number and group support systems
An optimal adaptive robust PID controller subject to fuzzy rules and sliding modes for MIMO uncertain chaotic systems
A hybrid methodology of fuzzy grey relation for determining multi attribute customer preferences of edible oil
Structured synthesis of MEMS using evolutionary approaches
Classification of ball bearing faults using a hybrid intelligent model
Crowd social media computing: Applying crowd computing techniques to social media
Solving an extended multi-row facility layout problem with fuzzy clearances using GA
Histogram Modified Local Contrast Enhancement for mammogram images
SGOP: Surrogate-assisted global optimization using a Pareto-based sampling strategy
A multi-objective genetic algorithm applied to autonomous underwater vehicles for sewage outfall plume dispersion observations
Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k -best gravitational search strategy based grey wolf optimizer algorithm
An incremental adaptive neural network model for online noisy data regression and its application to compartment fire studies
Interval-valued inclusion-exclusion integral to aggregate interval-valued data based on multiple admissible orders
Applying sentiment analysis to automatically classify consumer comments concerning marketing 4Cs aspects
A spatially enhanced multiscale polarity sensing framework for UAV small target detection
An adaptive surrogate assisted differential evolutionary algorithm for high dimensional constrained problems
Integrating simplified swarm optimization with AHP for solving capacitated military logistic depot location problem
Data-unbalanced traffic accident prediction via adaptive graph and self-supervised learning
A new time invariant fuzzy time series forecasting method based on particle swarm optimization
The use of computational intelligence in intrusion detection systems: A review
Optimizing an artificial immune system algorithm in support of flow-Based internet traffic classification
Swarm intelligence algorithms for macroscopic traffic flow model validation with automatic assignment of fundamental diagrams
Consumer insight mining: Aspect based Twitter opinion mining of mobile phone reviews
A novel optimal replication allocation strategy for particle swarm optimization algorithms applied to simulation optimization problem
Efficient methods for a bi-objective nursing home location and allocation problem: A case study
An Iterative local-search framework for solving constraint satisfaction problem
An adaptive consensus model in large-scale group decision making with noncooperative and compromising behaviors
A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem
Cross-view multi-layer perceptron for incomplete multi-view learning
A fuzzy random EPQ model for imperfect quality items with possibility and necessity constraints
A multipopulation cultural algorithm using fuzzy clustering
Dual VAEGAN: A generative model for generalized zero-shot learning