Neural Computing & Applications

Papers
(The median citation count of Neural Computing & Applications is 4. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Performance evaluation of cluster-based federated machine learning600
Estimation of leaf Mg values of apple trees in early period with machine learning methods503
Object modeling through weightless tracking393
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations390
An integrated biomedical images security approach to secure healthcare system326
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling313
Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing297
Bi-graph attention network for energy price forecasting via multiple time scale learning262
CEDT2M: text-driven human motion generation via cross-modal mixture of encoder-decoder236
Development of sliding mode control based on diagonal recurrent neural network for coupled tank system201
Who should I trust? Cautiously learning with unreliable experts199
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction197
Re-HGNM: a repeat aware hypergraph neural machine for session-based recommendation187
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities180
Ground-truth generation through crowdsourcing with probabilistic indexes172
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval168
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network167
Hierarchical capsule network for hyperspectral image classification161
An efficient and scalable semi-supervised framework for semantic segmentation160
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications157
Q-learning-based sequential recovery of interdependent power-communication network after cascading failures154
A detector for page-level handwritten music object recognition based on deep learning150
Group learning algorithm: a new metaheuristic algorithm149
Improve cluster quality with better centroid selection146
Exploring vision transformer: classifying electron-microscopy pollen images with transformer141
Deep learning model for early prediction of material fracture in tensile testing137
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions132
Lyapunov-guided representation of recurrent neural network performance131
Correction: Stochastic optimal reactive power dispatch at varying time of load demand and renewable energy resources using an efficient modified jellyfish optimizer128
Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks127
Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems124
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics123
Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks119
Intelligent chatter detection in turning operations with imbalanced data using conditional generative adversarial networks119
DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion117
Hybrid ConvTransLSTM for spatio-temporal classification: identifying early Parkinson’s disease from gait patterns113
Convolutional variational autoencoder for Northeast US coastal wind and flood hazard data augmentation113
Constructing a multimodal feature set for pain intensity classification112
Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features111
EEG-motion: a novel algorithm that detect restless legs syndrome using EEG signals on polysomnography111
Chimera states and information transfer in interacting populations of map-based neurons111
Robust bipedal walking control through a privileged learning-based, hierarchical imitation learning method110
LWIR2Vis-Net: feature injection-augmented encoder-decoder for efficient thermal-to-visible image translation101
Defense against adversarial attacks via textual embeddings based on semantic associative field98
Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets96
Integration of global and local information for text classification95
MindfulLIME: a stable solution for explanations of machine learning models with enhanced localization precision—a medical image case study94
Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm94
A new hybrid recurrent artificial neural network for time series forecasting93
RETRACTED ARTICLE: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction93
From fair solutions to compromise solutions in multi-objective deep reinforcement learning91
Cost-effective economic dispatch in large-scale power systems using enhanced manta ray foraging optimization91
Deep learning-driven automatic detection of mucilage event in the Sea of Marmara, Turkey91
Integrating plant growth monitoring in a precision intrarow hoeing tool through canopy cover segmentation91
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference89
A feature selection method based on Shapley values robust for concept shift in regression87
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem84
Reviving autoencoder pretraining82
JSMix: a holistic algorithm for learning with label noise82
Machine learning based multipurpose medical image watermarking82
Real-time guidance for powered landing of reusable rockets via deep learning78
A novel algorithm based on DNA coding for substitution box generation problem78
An effective variational auto-encoder-based model for traffic flow imputation78
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease78
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer77
A novel technique for evaluating and selecting wealthtech apps based on interval type−2 intuitionistic fuzzy technique for order preference by similarity to ideal solution77
Physics-guided time-series transformer for accurate and robust battery SOC estimation75
Stable online adaptive formation control for leader-follower mobile robots based on reinforcement learning75
Improving Chinese word segmentation with character–lexicon class attention74
Data-driven heat pump management: combining machine learning with anomaly detection for residential hot water systems74
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection72
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks72
Adaptive control for multi-agent systems in dynamic and uncertain environments72
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system71
Improving automated latent fingerprint detection and segmentation using deep convolutional neural network70
A novel k-step fault estimation and fault-tolerant control scheme in wireless power transfer systems70
Detecting and classifying breast masses via YOLO-based deep learning70
Analysis of regional climate variables by using neural Granger causality69
Prediction of temperature separation of a nitrogen-driven vortex tube with linear, kNN, SVM, and RF regression models69
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning68
A framework for classifying breast cancer based on deep features integration and selection66
Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections66
Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN66
A novel augmentation strategy for credit scoring modeling65
A hybrid approach to real-time multi-target tracking65
Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design65
Real-time emotion recognition pipeline in videogames using physiological signals from a wearable device and facial action labels64
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation64
Automated steel surface defect detection and classification using a new deep learning-based approach64
GPU-accelerated homomorphic encryption computing: empowering federated learning in IoV63
T2f: Actor-critic reinforcement learning for time-series forecasting63
Predict customer churn using combination deep learning networks model63
Transparent deep machine learning framework for predicting traffic crash severity62
Occluded human pose estimation based on limb joint augmentation62
Retraction Note: A novel K-nearest neighbor classifier for lung cancer disease diagnosis61
Distilled pooling transformer encoder for efficient realistic image dehazing61
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans60
Detection and classification of photovoltaic module defects based on artificial intelligence60
Deep learning-based approaches for robust classification of cervical cancer59
Deep learning and vision transformers-based framework for breast cancer and subtype identification59
Event prediction within directional change framework using a CNN-LSTM model59
An interactive deep model combined with Retinex for low-light visible and infrared image fusion59
A prediction model for plastic hinge length of rectangular RC columns using gene expression programming59
An intelligent approach for autism spectrum disorder diagnosis and rehabilitation features identification58
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction58
Neural acceleration of incomplete factorization preconditioning58
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting58
Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers56
Facial AU detection based on a guided attention inference network with embedded regional segmentation branch55
Maximizing opinion mining: bio-sentiorank algorithm for optimized sentiment analysis and opinion ranking55
LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features55
Deep domain adaptation by joint distribution neural matching55
OmniNet: an expandable causal inference network for multiple modalities55
Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance54
Distributed optimization with faulty nodes: robust aggregation in hyperbolic space54
Using PSO and SA for optimizing the retardance in dextran-citrate coated ferrofluids53
Machine learning to predict gut microbiomes of agricultural pests53
Cortex-inspired ensemble based network intrusion detection system53
Quantifying the effect of feedback frequency in interactive reinforcement learning for robotic tasks52
Adaptive NN trajectory tracking control for underwater tracked robot with unknown slipping and nonsymmetric input saturation52
Cultural heritage digital twin: modeling and representing the visual narrative in Leonardo Da Vinci’s Mona Lisa52
Exploring adversarial examples and adversarial robustness of convolutional neural networks by mutual information52
Hybrid deep CNN model for multi-class classification of skin lesion52
Regularization of deep neural network using a multisample memory model52
Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions52
Jointly learning distribution and expectation in a unified framework for facial age and attractiveness estimation52
HFANet: hierarchical feature fusion attention network for classification of glomerular immunofluorescence images51
Dependency-enhanced graph convolutional networks for aspect-based sentiment analysis51
Neuro-evolutionary for time series forecasting and its application in hourly energy consumption prediction51
PL-Transformer: a POS-aware and layer ensemble transformer for text classification51
A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data51
Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems51
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population51
Special issue on neural computing and applications in cyber intelligence: ATCI 202250
Few-shot learning for modeling cyber physical systems in non-stationary environments50
A new content-aware image resizing based on Rényi entropy and deep learning50
Event-triggered observer-based T-S fuzzy dynamic positioning fault-tolerant control for unmanned surface vehicle50
Honey formation optimization with single component for numerical function optimization: HFO-149
A syntactic multi-level interaction network for rumor detection49
Chaotic fitness-dependent quasi-reflected Aquila optimizer for superpixel based white blood cell segmentation49
Optimizing energy efficiency through precise occupancy detection: A tailored CNN architecture for smart buildings and beyond49
Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection49
An improved parameter learning methodology for RVFL based on pseudoinverse learners49
Integrating CNN and BiLSTM for enhanced scene text recognition48
Adapting artificial rabbit optimization for solving classification problem: benchmark dataset analysis48
A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges48
Robust amplitude-limited interval type-3 neuro-fuzzy controller for robot manipulators with prescribed performance by output feedback48
From depth-aware haze generation to real-world haze removal47
EduNER: a Chinese named entity recognition dataset for education research47
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data47
Region-based feature enhancement using channel-wise attention for classification of breast histopathological images47
Image captioning with residual swin transformer and Actor-Critic47
Spatially aligned sketch-based fine-grained 3D shape retrieval47
A metaheuristic algorithm based on a radial basis function neural networks47
Multi-scale residual attention model for retinal image feature segmentation: toward chemical exposure detection47
Optimizing organizational performance through integration of RBV, and TTF: a deep learning and optimization approach46
Determination of sample size and design of final product control plan based on product types46
Segmenting pyramidal neurons in low-resolution images: a new dataset and CNN-based evaluation46
Connecting modeling requirements and the choice of activation functions in fuzzy cognitive map simulations46
Comprehensive different modeling technics for predicting compressive strength in sustainable Arabic gum-modified concrete46
Detection of diseases in cucumber using deep neural networks46
Spatial deep feature augmentation technique for FER using genetic algorithm46
Self-tuning neuromorphic controller for real-time UAS trajectory tracking based on prescribed error sensitivity46
Artificial neural network-assisted theoretical model to predict the viscoelastic–plastic tensile behavior of polyamide-6 multi-ply yarns45
Exploring the distributed learning on federated learning and cluster computing via convolutional neural networks45
ECBTNet: English-Foreign Chinese intelligent translation via multi-subspace attention and hyperbolic tangent LSTM45
Stacked semi-supervised autoencoder-regularized RVFLNs for reliable prediction of molten iron quality in blast furnace45
Multi-scale discriminant representation for generic palmprint recognition45
Athletic signature: predicting the next game lineup in collegiate basketball45
Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis45
The design and application of steerable side window framework45
Analytical softmax temperature setting from feature dimensions for model- and domain-robust classification45
Correction: Discriminative reward co-training44
Fuzzy rough digraph based on strength of connectedness with application44
Deep Learning-based Image Analysis Method for Estimation of Macroscopic Spray Parameters44
Joint multi-view character embedding model for named entity recognition of Chinese car reviews43
Multi-class vulnerability prediction using value flow and graph neural networks43
Retraction Note: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques43
Retraction Note: Virtual reality research of the dynamic characteristics of soft soil under metro vibration loads based on BP neural networks43
Heuristic selection through neural networks: an extended analysis on the pod allocation problem within robotic mobile fulfillment systems43
Retraction Note: A novel feature selection method for brain tumor MR image classification based on the Fisher criterion and parameter-free Bat optimization43
Evaluating BERT-based language models for detecting misinformation42
Plantformer: plant point cloud completion based on local–global feature aggregation and spatial context-aware transformer42
PushNet: 3D reconstruction from a single image by pushing42
A deep learning approach to classify country and value of modern coins41
Shape completion with azimuthal rotations using spherical gidding-based invariant and equivariant network41
A review of machine learning techniques for diagnosing Alzheimer’s disease using imaging modalities41
A semi-self-supervised learning model to recognize handwritten characters in ancient documents in Indian scripts41
Transformer-enhanced multimodal learning model for multimedia content understanding41
Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets41
PRF: deep neural network compression by systematic pruning of redundant filters41
FinGAN: Chaotic generative adversarial network for analytical customer relationship management in banking and insurance41
Educational integrity in the age of generative AI: an interpretable random forest-based detection framework41
Clustered design-model generation from a program source code using chaos-based metaheuristic algorithms41
Synthetic chest X-ray data generation for tuberculosis infection detection using generative adversarial networks41
Unsupervised fabric defect detection with local spectra refinement (LSR)40
SBIR-BYOL: a self-supervised sketch-based image retrieval model40
Deep learning-based comprehensive review on pulmonary tuberculosis40
Federated and transfer learning for cancer detection based on image analysis40
Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming40
Hybrid bio-inspired metaheuristic approach for design compressive strength of high-strength concrete-filled high-strength steel tube columns40
Leaf disease detection using convolutional neural networks: a proposed model using tomato plant leaves40
EV charging duration prediction using advanced ensemble learning techniques and feature importance analysis39
Automatic generation of Labanotation based on human pose estimation in folk dance videos39
Machine learning and diffusion kinetics of predicting boride layer thickness on differently boronized stainless steels39
Conditioned fully convolutional denoising autoencoder for multi-target NILM39
Design of gender recognition system using quantum-based deep learning39
A novel N-degree mittag-leffler sigmoidal activation function for deep learning algorithms39
The binary crayfish optimization algorithm with bitwise operator and repair method for 0–1 knapsack problems: an improved model39
Computationally efficient recognition of unconstrained handwritten Urdu script using BERT with vision transformers38
Vision-language navigation: a survey and taxonomy38
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models38
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms38
A systematic literature review on the application of artificial intelligence techniques for rock strength estimation38
MADM and assessment of pilot health projects based on spherical fuzzy information38
Prediction of global temperature anomaly by machine learning based techniques37
Fuzzy min–max neural networks: a bibliometric and social network analysis37
Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture37
A novel hybrid multilayer perceptron neural network with improved grey wolf optimizer37
Edge AI-powered marine pollution classification with customized CNN model37
A Z-number based multi-attribute decision-making algorithm for hydro-environmental system management37
Deep learning approaches and data augmentation for melanoma detection37
A Kaizen Programming algorithm for multi-output regression based on a heterogeneous island model36
An efficient lightweight algorithm for scheduling tasks onto dynamically reconfigurable hardware using graph-oriented simulated annealing36
A CNN-based framework for land use land cover classification of heterogeneous terrain using satellite images36
Application status of qualitative comparative analysis methods in the international ISLS field based on social network analysis36
Multi-objective optimization for home health care scheduling under uncertainty using fuzzy logic and non-dominated sorting genetic algorithm II36
Fault-tolerant visual servo control for a robotic arm with actuator faults36
A quantum-enhanced self-attention model with swin transformer for soybean leaf disease classification with explainable AI36
Classification of apple images using support vector machines and deep residual networks36
Improving educational predictive modeling with a hierarchical ANFIS approach based on neutrosophic entropy and DEMATEL36
TriCe: Tri-stream video-based emotion change estimation framework36
From data to clean water: XGBoost and Bayesian optimization for advanced wastewater treatment with ultrafiltration35
Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China35
Human-aligned reinforcement learning for autonomous agents and robots35
PreSA: an intelligent blockchain-based platform for monitoring and predicting water quality for smart aquaculture35
Noise-learning transformers for image dehazing35
A new CNN-based watermarking method for color medical images in a fusion domain35
Machine learning-based CFD simulations: a review, models, open threats, and future tactics35
A fault diagnosis method combining dual information with sample attention mechanism under small samples35
Enhancing clustering performance for TASOCNN: a topology adaptive approach for circular data with application to color image segmentation35
Ontology construction and mapping of multi-source heterogeneous data based on hybrid neural network and autoencoder35
Generalization potential of large language models35
A voice activity detection algorithm using deep learning in time–frequency domain35
Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities35
Recent advances in multi-objective grey wolf optimizer, its versions and applications35
Simulation of fractional order mathematical model of robots for detection of coronavirus using Levenberg–Marquardt backpropagation neural network35
Decision-making approaches focusing on best parameter-object pair for soft set34
Individual tree crown delineation in high-resolution remote sensing images based on U-Net34
A new hand-modeled learning framework for driving fatigue detection using EEG signals34
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