Neural Computing & Applications

Papers
(The TQCC of Neural Computing & Applications is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Neural acceleration of incomplete factorization preconditioning575
Performance evaluation of cluster-based federated machine learning506
Estimation of leaf Mg values of apple trees in early period with machine learning methods461
Object modeling through weightless tracking385
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations359
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection310
Improving Chinese word segmentation with character–lexicon class attention293
An integrated biomedical images security approach to secure healthcare system256
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling245
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features199
An effective variational auto-encoder-based model for traffic flow imputation187
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing181
Bi-graph attention network for energy price forecasting via multiple time scale learning175
CEDT2M: text-driven human motion generation via cross-modal mixture of encoder-decoder172
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system161
Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN154
Who should I trust? Cautiously learning with unreliable experts153
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction148
Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation147
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities146
Ground-truth generation through crowdsourcing with probabilistic indexes144
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval143
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network142
Hierarchical capsule network for hyperspectral image classification140
An efficient and scalable semi-supervised framework for semantic segmentation135
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications134
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer131
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures129
A prediction model for plastic hinge length of rectangular RC columns using gene expression programming124
Prediction of temperature separation of a nitrogen-driven vortex tube with linear, kNN, SVM, and RF regression models123
A novel augmentation strategy for credit scoring modeling122
A detector for page-level handwritten music object recognition based on deep learning120
Group learning algorithm: a new metaheuristic algorithm118
Exploring vision transformer: classifying electron-microscopy pollen images with transformer116
Improve cluster quality with better centroid selection116
Deep learning model for early prediction of material fracture in tensile testing115
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions112
A framework for classifying breast cancer based on deep features integration and selection111
Lyapunov-guided representation of recurrent neural network performance110
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks106
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer106
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks104
Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems103
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks98
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics98
DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion94
Intelligent chatter detection in turning operations with imbalanced data using conditional generative adversarial networks94
Convolutional variational autoencoder for Northeast US coastal wind and flood hazard data augmentation93
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm92
RETRACTED ARTICLE: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction92
A new hybrid recurrent artificial neural network for time series forecasting91
A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems91
From fair solutions to compromise solutions in multi-objective deep reinforcement learning90
Deep learning-driven automatic detection of mucilage event in the Sea of Marmara, Turkey90
Integrating plant growth monitoring in a precision intrarow hoeing tool through canopy cover segmentation87
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning87
Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design86
Cost-effective economic dispatch in large-scale power systems using enhanced manta ray foraging optimization85
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease83
Improving automated latent fingerprint detection and segmentation using deep convolutional neural network83
Detecting and classifying breast masses via YOLO-based deep learning80
Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections79
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference78
Event prediction within directional change framework using a CNN-LSTM model75
Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers74
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem74
Occluded human pose estimation based on limb joint augmentation74
A feature selection method based on Shapley values robust for concept shift in regression74
JSMix: a holistic algorithm for learning with label noise74
Deep learning-based approaches for robust classification of cervical cancer73
Analysis of regional climate variables by using neural Granger causality72
Reviving autoencoder pretraining72
Hybrid ConvTransLSTM for spatio-temporal classification: identifying early Parkinson’s disease from gait patterns70
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features70
Distilled pooling transformer encoder for efficient realistic image dehazing70
Constructing a multimodal feature set for pain intensity classification70
Predict customer churn using combination deep learning networks model69
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans69
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system69
EEG-motion: a novel algorithm that detect restless legs syndrome using EEG signals on polysomnography67
Chimera states and information transfer in interacting populations of map-based neurons67
Robust bipedal walking control through a privileged learning-based, hierarchical imitation learning method67
Integration of global and local information for text classification66
LWIR2Vis-Net: feature injection-augmented encoder-decoder for efficient thermal-to-visible image translation66
Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets66
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification66
Defense against adversarial attacks via textual embeddings based on semantic associative field66
MindfulLIME: a stable solution for explanations of machine learning models with enhanced localization precision—a medical image case study64
A novel technique for evaluating and selecting wealthtech apps based on interval type−2 intuitionistic fuzzy technique for order preference by similarity to ideal solution63
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting63
An interactive deep model combined with Retinex for low-light visible and infrared image fusion63
Stable online adaptive formation control for leader-follower mobile robots based on reinforcement learning62
Physics-guided time-series transformer for accurate and robust battery SOC estimation61
Data-driven heat pump management: combining machine learning with anomaly detection for residential hot water systems60
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation60
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction60
Automated steel surface defect detection and classification using a new deep learning-based approach60
Transparent deep machine learning framework for predicting traffic crash severity59
GPU-accelerated homomorphic encryption computing: empowering federated learning in IoV59
Machine learning based multipurpose medical image watermarking59
Real-time guidance for powered landing of reusable rockets via deep learning58
A novel algorithm based on DNA coding for substitution box generation problem58
Deep learning and vision transformers-based framework for breast cancer and subtype identification58
Detection and classification of photovoltaic module defects based on artificial intelligence58
A hybrid approach to real-time multi-target tracking57
Application status of qualitative comparative analysis methods in the international ISLS field based on social network analysis56
Deep domain adaptation by joint distribution neural matching56
OmniNet: an expandable causal inference network for multiple modalities55
Deep learning-based comprehensive review on pulmonary tuberculosis55
Facial AU detection based on a guided attention inference network with embedded regional segmentation branch55
Distributed optimization with faulty nodes: robust aggregation in hyperbolic space55
Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance54
EV charging duration prediction using advanced ensemble learning techniques and feature importance analysis53
Using PSO and SA for optimizing the retardance in dextran-citrate coated ferrofluids53
Cortex-inspired ensemble based network intrusion detection system53
Cultural heritage digital twin: modeling and representing the visual narrative in Leonardo Da Vinci’s Mona Lisa53
Classification of apple images using support vector machines and deep residual networks53
Machine learning to predict gut microbiomes of agricultural pests53
Jointly learning distribution and expectation in a unified framework for facial age and attractiveness estimation51
Quantifying the effect of feedback frequency in interactive reinforcement learning for robotic tasks51
PRF: deep neural network compression by systematic pruning of redundant filters51
Exploring adversarial examples and adversarial robustness of convolutional neural networks by mutual information51
Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions51
Regularization of deep neural network using a multisample memory model51
Adaptive NN trajectory tracking control for underwater tracked robot with unknown slipping and nonsymmetric input saturation51
SBIR-BYOL: a self-supervised sketch-based image retrieval model51
MultiBSP: multi-branch and multi-scale perception object tracking framework based on siamese CNN51
Hybrid deep CNN model for multi-class classification of skin lesion50
Ontology construction and mapping of multi-source heterogeneous data based on hybrid neural network and autoencoder50
Fault-tolerant visual servo control for a robotic arm with actuator faults49
PL-Transformer: a POS-aware and layer ensemble transformer for text classification49
Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems49
Hybrid bio-inspired metaheuristic approach for design compressive strength of high-strength concrete-filled high-strength steel tube columns49
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population49
Dependency-enhanced graph convolutional networks for aspect-based sentiment analysis49
Neuro-evolutionary for time series forecasting and its application in hourly energy consumption prediction48
HFANet: hierarchical feature fusion attention network for classification of glomerular immunofluorescence images48
GA-SRN: graph attention based text-image semantic reasoning network for fine-grained image classification and retrieval48
FinGAN: Chaotic generative adversarial network for analytical customer relationship management in banking and insurance48
Prediction of global temperature anomaly by machine learning based techniques48
A deep learning approach to classify country and value of modern coins48
A Z-number based multi-attribute decision-making algorithm for hydro-environmental system management48
Special issue on neural computing and applications in cyber intelligence: ATCI 202247
Event-triggered observer-based T-S fuzzy dynamic positioning fault-tolerant control for unmanned surface vehicle47
A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data47
A new content-aware image resizing based on Rényi entropy and deep learning47
Few-shot learning for modeling cyber physical systems in non-stationary environments47
An improved parameter learning methodology for RVFL based on pseudoinverse learners46
Deep learning approaches and data augmentation for melanoma detection46
A syntactic multi-level interaction network for rumor detection46
Optimizing energy efficiency through precise occupancy detection: A tailored CNN architecture for smart buildings and beyond46
Honey formation optimization with single component for numerical function optimization: HFO-145
Recent advances in multi-objective grey wolf optimizer, its versions and applications45
Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection45
Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning45
Conditioned fully convolutional denoising autoencoder for multi-target NILM44
A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges44
Integrating CNN and BiLSTM for enhanced scene text recognition44
Evaluating BERT-based language models for detecting misinformation44
A Vision-based inventory method for stacked goods in stereoscopic warehouse44
Computationally efficient recognition of unconstrained handwritten Urdu script using BERT with vision transformers44
Chaotic fitness-dependent quasi-reflected Aquila optimizer for superpixel based white blood cell segmentation44
Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture43
Multi-scale residual attention model for retinal image feature segmentation: toward chemical exposure detection43
A novel N-degree mittag-leffler sigmoidal activation function for deep learning algorithms43
Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets43
Robust amplitude-limited interval type-3 neuro-fuzzy controller for robot manipulators with prescribed performance by output feedback43
Image captioning with residual swin transformer and Actor-Critic43
Shape completion with azimuthal rotations using spherical gidding-based invariant and equivariant network43
A systematic literature review on the application of artificial intelligence techniques for rock strength estimation43
Synthetic chest X-ray data generation for tuberculosis infection detection using generative adversarial networks43
Adapting artificial rabbit optimization for solving classification problem: benchmark dataset analysis43
Clustered design-model generation from a program source code using chaos-based metaheuristic algorithms43
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms42
A new CNN-based watermarking method for color medical images in a fusion domain42
Multi-objective optimization for home health care scheduling under uncertainty using fuzzy logic and non-dominated sorting genetic algorithm II42
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data42
Subspace embedding for classification42
Generalization potential of large language models42
Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities42
EduNER: a Chinese named entity recognition dataset for education research42
Machine learning-based CFD simulations: a review, models, open threats, and future tactics41
PreSA: an intelligent blockchain-based platform for monitoring and predicting water quality for smart aquaculture41
Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming41
Vision-language navigation: a survey and taxonomy41
A metaheuristic algorithm based on a radial basis function neural networks41
Segmenting pyramidal neurons in low-resolution images: a new dataset and CNN-based evaluation41
Detection of diseases in cucumber using deep neural networks41
From depth-aware haze generation to real-world haze removal41
Region-based feature enhancement using channel-wise attention for classification of breast histopathological images41
From data to clean water: XGBoost and Bayesian optimization for advanced wastewater treatment with ultrafiltration41
Determination of sample size and design of final product control plan based on product types40
The design and application of steerable side window framework40
Connecting modeling requirements and the choice of activation functions in fuzzy cognitive map simulations40
Enhancing clustering performance for TASOCNN: a topology adaptive approach for circular data with application to color image segmentation40
Spatial deep feature augmentation technique for FER using genetic algorithm40
A CNN-based framework for land use land cover classification of heterogeneous terrain using satellite images40
Simulation of fractional order mathematical model of robots for detection of coronavirus using Levenberg–Marquardt backpropagation neural network40
Athletic signature: predicting the next game lineup in collegiate basketball39
ECBTNet: English-Foreign Chinese intelligent translation via multi-subspace attention and hyperbolic tangent LSTM39
Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis39
The binary crayfish optimization algorithm with bitwise operator and repair method for 0–1 knapsack problems: an improved model39
Edge AI-powered marine pollution classification with customized CNN model39
MADM and assessment of pilot health projects based on spherical fuzzy information39
A semi-self-supervised learning model to recognize handwritten characters in ancient documents in Indian scripts39
A Kaizen Programming algorithm for multi-output regression based on a heterogeneous island model39
Multi-scale discriminant representation for generic palmprint recognition39
Exploring the distributed learning on federated learning and cluster computing via convolutional neural networks39
Artificial neural network-assisted theoretical model to predict the viscoelastic–plastic tensile behavior of polyamide-6 multi-ply yarns39
Stacked semi-supervised autoencoder-regularized RVFLNs for reliable prediction of molten iron quality in blast furnace39
Correction: Discriminative reward co-training38
Multi-class vulnerability prediction using value flow and graph neural networks38
Design of gender recognition system using quantum-based deep learning38
Analytical softmax temperature setting from feature dimensions for model- and domain-robust classification38
Deep Learning-based Image Analysis Method for Estimation of Macroscopic Spray Parameters38
Unsupervised fabric defect detection with local spectra refinement (LSR)38
Fuzzy rough digraph based on strength of connectedness with application38
A novel hybrid multilayer perceptron neural network with improved grey wolf optimizer37
PushNet: 3D reconstruction from a single image by pushing37
Retraction Note: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques37
A voice activity detection algorithm using deep learning in time–frequency domain37
Automatic generation of Labanotation based on human pose estimation in folk dance videos37
Retraction Note: Virtual reality research of the dynamic characteristics of soft soil under metro vibration loads based on BP neural networks37
Heuristic selection through neural networks: an extended analysis on the pod allocation problem within robotic mobile fulfillment systems37
Plantformer: plant point cloud completion based on local–global feature aggregation and spatial context-aware transformer37
Retraction Note: A novel feature selection method for brain tumor MR image classification based on the Fisher criterion and parameter-free Bat optimization37
Joint multi-view character embedding model for named entity recognition of Chinese car reviews37
Federated and transfer learning for cancer detection based on image analysis36
Optimizing organizational performance through integration of RBV, and TTF: a deep learning and optimization approach36
Self-tuning neuromorphic controller for real-time UAS trajectory tracking based on prescribed error sensitivity36
Leaf disease detection using convolutional neural networks: a proposed model using tomato plant leaves36
Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China36
Spatially aligned sketch-based fine-grained 3D shape retrieval36
Comprehensive different modeling technics for predicting compressive strength in sustainable Arabic gum-modified concrete36
Educational integrity in the age of generative AI: an interpretable random forest-based detection framework35
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models35
DAMNet: lightweight dual attention mixed network for efficient image deraining35
ESMPS: an efficient stock market prediction system based on optimized and ensemble deep learning architecture35
Swarm intelligence for handling out-of-vocabulary in Arabic Dialect Identification with different representations35
Transformer-enhanced multimodal learning model for multimedia content understanding35
An efficient lightweight algorithm for scheduling tasks onto dynamically reconfigurable hardware using graph-oriented simulated annealing35
Human-aligned reinforcement learning for autonomous agents and robots35
Compound encryption of multiple images by utilizing a novel chaos and nonlinear transform35
Fuzzy min–max neural networks: a bibliometric and social network analysis35
A review of machine learning techniques for diagnosing Alzheimer’s disease using imaging modalities35
A fault diagnosis method combining dual information with sample attention mechanism under small samples35
CBIR: a novel identification approach for college students in need based on consumer behavior psychology theory35
Privacy BERT-LSTM: a novel NLP algorithm for sensitive information detection in textual documents34
A novel approach to solar radiation forecasting using a SARIMA–LSTM hybrid model with seasonal trend loess decomposition34
DL-DARE: Deep learning-based different activity recognition for the human–robot interaction environment34
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