yusuke1997/dblp-id-title huggingface dataset:
Wrapper-based optimized feature selection using nature-inspired algorithms
Design and implementation of bank CRM system based on decision tree algorithm
Mining periodic patterns from spatio-temporal trajectories using FGO-based artificial neural network optimization model
Indoor positioning algorithm based on improved convolutional neural network
Automatic real-word error correction in persian text
An optimal neural network design for fractional deep learning of logistic growth
A precise and stable machine learning algorithm: eigenvalue classification (EigenClass)
Enhancing generalization in autonomous driving through track-agnostic reinforcement learning
Combining time series prediction models using genetic algorithm to autoscaling Web applications hosted in the cloud infrastructure
A modified particle swarm optimization algorithm using Renyi entropy-based clustering
Binary tree pricing method of farmland management right mortgage based on machine learning and complex network algorithm
Enhancing patient-independent detection of freezing of gait in Parkinson's disease with deep adversarial network
Efficiency in uncertain variational control problems
Collective intelligence evolution using ant colony optimization and neural networks
DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images
Erratum to: Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers
SP-J48: a novel optimization and machine-learning-based approach for solving complex problems: special application in software engineering for detecting code smells
Using incomplete and incorrect plans to shape reinforcement learning in long-sequence sparse-reward tasks
The RKHS method for numerical treatment for integrodifferential algebraic systems of temporal two-point BVPs
Recognizing salat activity using deep learning models via smartwatch sensors
A new and efficient firefly algorithm for numerical optimization problems
A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets
A hybridization of butterfly optimization algorithm and harmony search for fuzzy modelling in phishing attack detection
Fingerpring Classification Using a Fuzzy Multilayer Perceptron
Image simulation of urban landscape in coastal areas based on geographic information system and machine learning
Automatic detection and classification of rotor cage faults in squirrel cage induction motor
Long-term analysis of HIV infection therapy with cubature Kalman filtering-based predictive control
A novel NLP-driven approach for enriching artefact descriptions, provenance, and entities in cultural heritage
Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study
Prediction of particular matter concentrations by developed feed-forward neural network with rolling mechanism and gray model
A novel method for intrusion detection in computer networks by identifying multivariate outliers and ReliefF feature selection
Non-negative enhanced discriminant matrix factorization method with sparsity regularization
A genetic-based hyper-heuristic optimisation method to solve the constrained multi-row facility layout problem
An integrated approach for prioritizing the strategic objectives of balanced scorecard under uncertainty
Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control
Reinforcement learning-based robust optimal tracking control for disturbed nonlinear systems
A review of intelligent music generation systems
Interval-valued probabilistic hesitant fuzzy set-based framework for group decision-making with unknown weight information
Classification of M-QAM and M-PSK signals using genetic programming (GP)
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks
ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India
The FCM-guided deep learning model for low-frequency oscillation damping for electric power networks
Design of an amplitude-bounded output feedback adaptive neural control with guaranteed componentwise performance
A pseudo genetic algorithm
Using neural-genetic hybrid systems for complex decision support
Design of nature-inspired heuristic paradigm for systems in nonlinear electrical circuits
An improved Henry gas optimization algorithm for joint mining decision and resource allocation in a MEC-enabled blockchain networks
STMVO: biologically inspired monocular visual odometry
A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification
Purities prediction in a manufacturing froth flotation plant: the deep learning techniques
Forecasting wholesale prices of yellow corn through the Gaussian process regression
Concepts and Facilities of a Neural Reinforcement Learning Control Architecture for Technical Process Control
Deep neural networks architecture driven by problem-specific information
Reducing Error in Neural Network Time Series Forecasting
Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification
A stateless deep learning framework to predict net asset value
Predictive modeling of physical and mechanical properties of pervious concrete using XGBoost
A hybrid rolling grey framework for short time series modelling
Identification and spatio-temporal analysis of earthquake clusters using SOM-DBSCAN model
Pipeline and dataset generation for automated fact-checking in almost any language
Pooling spike neural network for fast rendering in global illumination
Low-resolution degradation face recognition over long distance based on CCA
A sturdy CNN-based model for ambience recognition of acoustic communication
Research on manufacturing service combination optimization based on neural network and multi-attribute decision making
Novel input and output mapping-sensitive error back propagation learning algorithm for detecting small input feature variations
A novel feature selection algorithm based on LVQ hypothesis margin
On the use of fuzzy synthetic evaluation and optimal classification for computing fire risk ranking of buildings
Large Language Model XAI approach for illicit activity Investigation in Bitcoin
A new approach to predict ulcerative colitis activity through standard clinical-biological parameters using a robust neural network model
Double color images compression-encryption via compressive sensing
A soft voting ensemble learning-based approach for multimodal sentiment analysis
Modelling and prediction of antibacterial activity of knitted fabrics made from silver nanocomposite fibres using soft computing approaches
Common fixed points of Chatterjea type fuzzy mappings on closed balls
An effective cuckoo search algorithm for large-scale combined heat and power economic dispatch problem
Real-time signal queue length prediction using long short-term memory neural network
DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision
Bio-plausible digital implementation of a reward modulated STDP synapse
Optimizing software defect prediction: a fusion of binary horse herd optimizer and machine learning methods
Runtime analysis of some hybrid algorithms
Parallel tensor factorization for relational learning
A convolutional neural network method to obtain the dynamic model parameters of a three-linear-axis Cartesian robot
Efficient zone identification approach for the recognition of online handwritten Gurmukhi script
Elman neural networks for characterizing voids in welded strips: a study
Correction: A comprehensive study of fisheye image compression and perception for autonomous driving
Research on resource allocation methods for traditional Chinese medicine services based on deep reinforcement learning
A density invariant approach to clustering
Retraction Note: Using hardware counter-based performance model to diagnose scaling issues of HPC applications
Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models
True-link clustering through signaling process and subcommunity merge in overlapping community detection
Correction: A review of dialogue systems: current trends and future directions
Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction
Retraction Note: Quality assessment for virtual reality technology based on real scene
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains
Mean square input-to-state stability of a general class of stochastic recurrent neural networks with Markovian switching
Constructing interval-valued generalized partitioned Bonferroni mean operator with several extensions for MAGDM
Time integration and reject options for probabilistic output of pairwise LVQ
Mutual authentication for vehicular network in complex and uncertain driving
A linear hybrid methodology for improving accuracy of time series forecasting
Self-supervised few-shot medical image segmentation with spatial transformations
A comprehensive survey on Arabic text augmentation: approaches, challenges, and applications
Self-Organising Map for Data Imputation and Correction in Surveys
Fuzzy radial basis function network: a parallel design
Large-scale cellular traffic prediction based on graph convolutional networks with transfer learning
A weather station selection method based on the simulated annealing algorithm for electric load forecasting
Optimized gene selection and classification of cancer from microarray gene expression data using deep learning
FGNet: Fixation guidance network for salient object detection
Nonlinear control of benchmark problems using TSK-type fuzzy neural network
A neural network structure specified for representing and storing logical relations
Aspect-based sentiment analysis in Urdu language: resource creation and evaluation
Evolutionary framework for coding area selection from cancer data
Local linear wavelet neural network based breast tumor classification using firefly algorithm
A machine learning approach for cross-domain plant identification using herbarium specimens
Multi-granularity semantic representation model for relation extraction
Alternative mathematical formulation and hybrid meta-heuristics for patient scheduling problem in health care clinics
IoT-based intelligent waste management system
Robust encryption technique based on a block-lag-induced reactive substitution, fuzzy neural network, and memory-loss stochastic resonance
A biologically plausible network model for pattern storage and recall inspired by Dentate Gyrus
Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate
Information Retrieval and Categorisation using a Cell Assembly Network
Retraction Note: Editorial: neural computing in next-generation virtual reality technology
Syntax-aware neural machine translation directed by syntactic dependency degree
Policy-based optimization for drag reduction via spanwise wall oscillations
A neural network-based approach for calculating dissolved oxygen profiles in reservoirs
DL-DARE: Deep learning-based different activity recognition for the human-robot interaction environment
OtoVision: Bridging machine learning and edge computing for effective and affordable ear disease diagnosis
Cluster lag synchronization of delayed heterogeneous complex dynamical networks via intermittent pinning control
Comprehensive machine and deep learning analysis of sensor-based human activity recognition
Research on simulation of 3D human animation vision technology based on an enhanced machine learning algorithm
Revisiting squared-error and cross-entropy functions for training neural network classifiers
An asymmetry algorithm based on parameter transformation for Hessian matrix
Trajectory tracking of a SCARA robot using intelligent active force control
Detection and Classification of Alzheimer's disease from cognitive impairment with resting-state fMRI
Stability-based preference selection in affinity propagation
An artificial neural network for prediction of gas holdup in bubble columns with oily solutions
Regression and artificial neural network models for strength properties of engineered cementitious composites
Correction to: Adaptive 1-dimensional time invariant learning for inertial sensor-based gait authentication
Forecasting IBEX-35 moves using support vector machines
An unsupervised fuzzy clustering approach to the capacitated vehicle routing problem
Naural Simulation of Acquired and Progressive Language Disorders
Evolving artificial neural network and imperialist competitive algorithm for prediction permeability of the reservoir
Reading order detection on handwritten documents
Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread
Interpretable modular knowledge reasoning for machine reading comprehension
Topological structure regularized nonnegative matrix factorization for image clustering
Breadth search strategies for finding minimal reducts: towards hardware implementation
Image recoloring for color vision deficiency compensation using Swin transformer
Predicting design suitability of box-shaped sustainable timber structural members using machine learning and hyperparameter optimization
The experimental study of the effectiveness of Kohonen maps and autoassociative neural networks in the qualitative analysis of multidimensional data by the example of real data describing coal susceptibility to fluidal gasification
Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques
Correction: Improved hybrid feature extractor in lightweight convolutional neural network for postharvesting technology: automated oil palm fruit grading
A developed distance method for ranking generalized fuzzy numbers
Continuous drone control using deep reinforcement learning for frontal view person shooting
Constructive lower bounds on model complexity of shallow perceptron networks
Optimal power flow solution with stochastic wind power using the Lévy coyote optimization algorithm
Hutton L -double uniform spaces
Adversarial attack defense algorithm based on convolutional neural network
Unsupervised feature selection for sensor time-series in pervasive computing applications
Research on vehicle intelligent wireless location algorithm based on convolutional neural network
Posture transition analysis with barometers: contribution to accelerometer-based algorithms
Robust adaptive neural sliding mode control of MEMS triaxial gyroscope with angular velocity estimation
Generalized transformer in fault diagnosis of Tennessee Eastman process
SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo
An enhanced sitting-sizing scheme for shunt capacitors in radial distribution systems using improved atom search optimization
Long short-term memory neural network for glucose prediction
Tuberculosis disease diagnosis by using adaptive neuro fuzzy inference system and rough sets
Active learning based on coupled KNN pseudo pruning
Optimization analysis of sport pattern driven by machine learning and multi-agent
Improved statistical features-based control chart patterns recognition using ANFIS with fuzzy clustering
Improving the precision-recall trade-off in undersampling-based binary text categorization using unanimity rule
MMPL-Net: multi-modal prototype learning for one-shot RGB-D segmentation
A novel robust H ∞ fuzzy state feedback plus state-derivative feedback controller design for nonlinear time-varying delay systems
Device-free cross location activity recognition via semi-supervised deep learning
Multistability of complex-valued neural networks with distributed delays
An AI-based workflow for estimating shale barrier configurations from SAGD production histories
Glass-box model representation of seismic failure mode prediction for conventional reinforced concrete shear walls
Smooth twin support vector regression
Kimesurface representation and tensor linear modeling of longitudinal data
Tabu search-based classification for eye-movement behavioral decisions
Automatic optimized support vector regression for financial data prediction
Two-level matrix factorization for recommender systems
BF 2 SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?
Deep attention for enhanced OCT image analysis in clinical retinal diagnosis
A reference spike train-based neurocomputing method for enhanced tactile discrimination of surface roughness
Academic performance warning system based on data driven for higher education
Preassigned/fixed-time stochastic synchronization of complex networks via simpler nonchattering quantified adaptive control strategies
NECM: Neutrosophic evidential c-means clustering algorithm
Multiple ACO-based method for solving dynamic MSMD traffic routing problem in connected vehicles
Contextual word embeddings for tabular data search and integration
Feature self-calibration network with global-local training strategy for multi-region deformable medical image registration
The role of explainable AI in building trust and acceptance of AI-driven heart disease
Few-shot classification with intra-class co-salient learning and holistic metric
Appearance-based passenger counting in cluttered scenes with lateral movement compensation
An improved deep learning mechanism for EEG recognition in sports health informatics
Improving actor-critic structure by relatively optimal historical information for discrete system
Inverse optimal synchronization control of competitive neural networks with constant time delays
An efficient zeroing neural network for solving time-varying nonlinear equations
Artificial intelligence-based camel face identification system for sustainable livestock farming
Multilingual mixture attention interaction framework with adversarial training for cross-lingual SLU
Generation and Adaptation of Neural Networks by Evolutionary Techniques (GANNET)
A fast two-stage ACO algorithm for robotic path planning
A stacked ensemble deep learning framework for Alzheimer's severity ranking and classification using MRI scans
Early detection of fetal health status based on cardiotocography using artificial intelligence
A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices
A deeply coupled ConvNet for human activity recognition using dynamic and RGB images
Gorilla troops optimization-based load frequency control in PV-thermal power system
Developing a structural-based local learning rule for classification tasks using ionic liquid space-based reservoir
A classical-quantum convolutional neural network for detecting pneumonia from chest radiographs
Topic sensitive image descriptions
A dictionary learning algorithm for denoising polynomial phase signal based on neural networks
Multi-objective optimization of steel AISI 1040 dry turning using genetic algorithm
A deep learning approach for insulator instance segmentation and defect detection
Probabilistic collaborative representation on Grassmann manifold for image set classification
A genetic algorithm-based search space splitting pattern and its application in hydraulic and coastal engineering problems
Hmltnet: multi-modal fake news detection via hierarchical multi-grained features fused with global latent topic
Predicting consumer sentiments using online sequential extreme learning machine and intuitionistic fuzzy sets
Combining NEAT and PSO for learning tactical human behavior
Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study
Dual local learning regularized nonnegative matrix factorization and its semi-supervised extension for clustering
Enhancing adversarial transferability with partial blocks on vision transformer
Deep learning and fuzzy logic to implement a hybrid wind turbine pitch control
Mastering construction heuristics with self-play deep reinforcement learning
New models developed for detection of misconceptions in physics with artificial intelligence
Performance comparison of bio-inspired optimization algorithms for Sierpinski gasket fractal antenna design
Attention with kernels for EEG-based emotion classification
Self-guided deep deterministic policy gradient with multi-actor
Novel bacterial foraging-based ANFIS for speed control of matrix converter-fed industrial BLDC motors operated under low speed and high torque
Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions
Correction: Software effort estimation using convolutional neural network and fuzzy clustering
HMedCaps: a new hybrid capsule network architecture for complex medical images
An extended intuitionistic fuzzy ABAC method for evaluating innovative project ideas
DAC-HPP: deep attributed clustering with high-order proximity preserve
Parametric identification of robotic systems with stable time-varying Hopfield networks
QuasiVSD: efficient dual-frame smoke detection
RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system
Decision-making approaches focusing on best parameter-object pair for soft set
A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods
Memory-enriched big bang-big crunch optimization algorithm for data clustering
Modeling hardness of Nb-microalloyed steels using fuzzy logic
Quantifying Structural Time Varying Changes in Helical Data
Known and unknown event detection in OTDR traces by deep learning networks
Numerical treatment for solving one-dimensional Bratu problem using neural networks
SSNET: an improved deep hybrid network for hyperspectral image classification
Application on traffic flow prediction of machine learning in intelligent transportation
A dynamic multiobjective optimization algorithm based on decision variable relationship
Application of natural language modeling techniques in natural gas segmentation in seismic reflection images
Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning
Predicting hydrogen storage capacity of metal-organic frameworks using group method of data handling
ANFIS-based prediction of moment capacity of reinforced concrete slabs exposed to fire
A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints
An innovative interval type-2 fuzzy approach for multi-scenario multi-project cash flow evaluation considering TODIM and critical chain with an application to energy sector
Robust optimization based on ant colony optimization in the data transmission path selection of WSNs
Adaptive fuzzy controlled hybrid shunt active power filter for power quality enhancement
Sparse coding network model based on fast independent component analysis
A new multi-domain cooperative resource scheduling method using proximal policy optimization
Virtual reality research of the dynamic characteristics of soft soil under metro vibration loads based on BP neural networks
PID controller optimized by genetic algorithm for direct-drive servo system
4D-GWR: geographically, altitudinal, and temporally weighted regression
NeuProNet: neural profiling networks for sound classification
A new learning schema based on support vector for multi-classification
A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images
Recurrent wavelet neural backstepping controller design with a smooth compensator
Adaptive Neuro-Genetic Control of Chaos Applied to the Attitude Control Problem