PeerJ Computer Science

Papers
(The median citation count of PeerJ Computer Science is 1. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation1667
The multi-modal fusion in visual question answering: a review of attention mechanisms162
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework149
Research on image classification method based on improved multi-scale relational network139
Joint embedding VQA model based on dynamic word vector125
Blockchain and smart contract for IoT enabled smart agriculture101
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network99
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations94
Self-supervised learning methods and applications in medical imaging analysis: a survey87
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease86
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning83
A comprehensive review of deep learning-based single image super-resolution81
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing76
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms74
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning74
PyMC: a modern, and comprehensive probabilistic programming framework in Python73
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures73
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm73
From ECG signals to images: a transformation based approach for deep learning72
Towards generalisable hate speech detection: a review on obstacles and solutions65
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing65
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study62
Detection of sitting posture using hierarchical image composition and deep learning62
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model61
Survey on graph embeddings and their applications to machine learning problems on graphs60
Lightweight transformer image feature extraction network60
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches55
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays55
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier51
Explainable stock prices prediction from financial news articles using sentiment analysis50
Data augmentation based malware detection using convolutional neural networks50
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification49
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods45
Secure biometric authentication with de-duplication on distributed cloud storage45
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models45
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions44
A systematic literature review on spam content detection and classification44
Selective oversampling approach for strongly imbalanced data41
Classification model for accuracy and intrusion detection using machine learning approach41
Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks41
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model40
Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study40
Overview of current state of research on the application of artificial intelligence techniques for COVID-1939
Knowledge distillation in deep learning and its applications39
A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm38
pyVHR: a Python framework for remote photoplethysmography38
LSTM-based sentiment analysis for stock price forecast37
Fake news detection: a survey of evaluation datasets37
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles36
A new optimization algorithm based on mimicking the voting process for leader selection36
A novel multi-class imbalanced EEG signals classification based on the adaptive synthetic sampling (ADASYN) approach36
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images35
ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans34
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-1934
Network intrusion detection using oversampling technique and machine learning algorithms33
COVID-19: a new deep learning computer-aided model for classification33
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover32
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images32
A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset31
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS31
Artificial intelligence maturity model: a systematic literature review31
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans31
Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media30
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study30
State-of-the-art violence detection techniques in video surveillance security systems: a systematic review30
A review of microscopic analysis of blood cells for disease detection with AI perspective30
Formulaic language identification model based on GCN fusing associated information29
IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage29
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis29
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases29
Deepfake tweets classification using stacked Bi-LSTM and words embedding28
Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics28
A systematic review on machine learning models for online learning and examination systems28
Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks28
ShExML: improving the usability of heterogeneous data mapping languages for first-time users27
Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning27
Mobile-assisted and gamification-based language learning: a systematic literature review27
Cyber-attack method and perpetrator prediction using machine learning algorithms27
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data27
Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer27
PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites27
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?26
Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation26
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition26
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN26
Deep learning model for deep fake face recognition and detection26
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model26
Descriptive analysis of dental X-ray images using various practical methods: A review25
A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data25
Efficient UAV-based mobile edge computing using differential evolution and ant colony optimization25
Self-supervised recurrent depth estimation with attention mechanisms25
OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals25
A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images25
RiceChain: secure and traceable rice supply chain framework using blockchain technology25
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm24
Stance detection with BERT embeddings for credibility analysis of information on social media24
The classification of movement intention through machine learning models: the identification of significant time-domain EMG features24
Advanced methods for missing values imputation based on similarity learning24
Deep learning prediction of mild cognitive impairment conversion to Alzheimer’s disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI24
Effect on speech emotion classification of a feature selection approach using a convolutional neural network23
Introductory programming course: review and future implications23
Application and evaluation of knowledge graph embeddings in biomedical data23
Big data clustering techniques based on Spark: a literature review23
Predicting Brazilian Court Decisions23
Prescriptive process monitoring: Quo vadis?23
Online supervised attention-based recurrent depth estimation from monocular video23
Classification ofZophobas morioandTenebrio molitorusing transfer learning23
Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms23
FrameAxis: characterizing microframe bias and intensity with word embedding23
Neural network hyperparameter optimization for prediction of real estate prices in Helsinki22
Numerical behavior of NVIDIA tensor cores22
A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss22
A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments22
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images22
Deep learning-based anomaly-onset aware remaining useful life estimation of bearings22
Fusion of text and graph information for machine learning problems on networks22
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species22
Deep learning for aspect-based sentiment analysis: a review22
Impact analysis of keyword extraction using contextual word embedding22
Feature selection of EEG signals in neuromarketing21
Predictions of bitcoin prices through machine learning based frameworks21
A framework for the prediction of earthquake using federated learning21
A survey of Sybil attack countermeasures in IoT-based wireless sensor networks21
A novel deep autoencoder based survival analysis approach for microarray dataset21
Machine learning analysis of TCGA cancer data21
GrimoireLab: A toolset for software development analytics21
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network20
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)20
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach20
Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact20
The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central20
Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records20
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry20
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak19
Immersive virtual environments and embodied agents for e-learning applications19
CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism19
Semantic micro-contributions with decentralized nanopublication services19
Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system19
Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction19
A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities19
Empirical evaluation of methods forde novogenome assembly19
Predicting rice diseases across diverse agro-meteorological conditions using an artificial intelligence approach19
Efficient data transmission on wireless communication through a privacy-enhanced blockchain process18
Microservice security: a systematic literature review18
Identifying defective solar cells in electroluminescence images using deep feature representations18
A comparative analysis on question classification task based on deep learning approaches18
Bots in software engineering: a systematic mapping study18
Temporal network embedding framework with causal anonymous walks representations18
IoT-CCAC: a blockchain-based consortium capability access control approach for IoT18
OES-Fed: a federated learning framework in vehicular network based on noise data filtering18
Collective view: mapping Sargassum distribution along beaches17
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators17
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT17
A knowledge graph based question answering method for medical domain17
Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach17
Multi-step rainfall forecasting using deep learning approach17
IoT-based intrusion detection system using convolution neural networks17
Smart apiculture management services for developing countries—the case of SAMS project in Ethiopia and Indonesia17
Emerging IoT domains, current standings and open research challenges: a review17
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis17
Lightweight and efficient neural network with SPSA attention for wheat ear detection17
Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition17
Assistive technology: autonomous wheelchair in obstacle-ridden environment17
Multi-label emotion classification of Urdu tweets17
Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach17
On the classification of Microsoft-Windows ransomware using hardware profile16
Alzheimer’s disease diagnosis and classification using deep learning techniques16
People’s expectations and experiences of big data collection in the Saudi context16
The rise of obfuscated Android malware and impacts on detection methods16
Blockchain technology in the pharmaceutical industry: a systematic review16
Research on digital copyright protection based on the hyperledger fabric blockchain network technology16
Incremental learning of LSTM framework for sensor fusion in attitude estimation16
A multi-objective algorithm for virtual machine placement in cloud environments using a hybrid of particle swarm optimization and flower pollination optimization16
Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia16
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis16
Classification of breast cancer using a manta-ray foraging optimized transfer learning framework16
A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization16
Undergraduate data science degrees emphasize computer science and statistics but fall short in ethics training and domain-specific context16
Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia16
A deep learning approach to predict blood-brain barrier permeability15
Ordinal losses for classification of cervical cancer risk15
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet15
A new optimization algorithm based on average and subtraction of the best and worst members of the population for solving various optimization problems15
Integer particle swarm optimization based task scheduling for device-edge-cloud cooperative computing to improve SLA satisfaction15
A systematic review of automated pre-processing, feature extraction and classification of cardiotocography15
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)15
Abusive language detection in youtube comments leveraging replies as conversational context15
AndroAnalyzer: android malicious software detection based on deep learning15
Event detection in finance using hierarchical clustering algorithms on news and tweets15
Current approaches for executing big data science projects—a systematic literature review15
Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks15
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification15
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation15
Machine learning applications to predict two-phase flow patterns15
Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble14
Automatic emotion recognition in healthcare data using supervised machine learning14
Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system14
A machine learning framework for the prediction of chromatin folding inDrosophilausing epigenetic features14
Log-based software monitoring: a systematic mapping study14
Low-cost intelligent surveillance system based on fast CNN14
A deep learning-based ensemble method for helmet-wearing detection14
Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm14
An intelligent approach for Arabic handwritten letter recognition using convolutional neural network14
Defining and measuring microservice granularity—a literature overview14
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study14
Accessibility challenges of e-commerce websites14
Exploring the technological acceptance of a mobile learning tool used in the teaching of an indigenous language14
Vector representation based on a supervised codebook for Nepali documents classification14
Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models13
Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings13
Automatic modular design of robot swarms using behavior trees as a control architecture13
Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic13
Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks13
The adoption of an e-learning system using information systems success model: a case study of Jazan University13
Switch controllers of an n-link revolute manipulator with a prismatic end-effector for landmark navigation13
FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems13
A novel IoT-based health and tactical analysis model with fog computing13
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem13
Discovering generative models from event logs: data-driven simulation vs deep learning13
Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble13
Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset13
Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction13
Classification ofCurcuma longaandCurcuma zanthorrhizausing transfer learning13
The classification of skateboarding tricks via transfer learning pipelines13
Efficiency aware scheduling techniques in cloud computing: a descriptive literature review13
Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks13
Deepfake video detection: YOLO-Face convolution recurrent approach13
FCMpy: a python module for constructing and analyzing fuzzy cognitive maps13
An optimized deep learning approach for suicide detection through Arabic tweets13
Assessing English language sentences readability using machine learning models13
Ultrasonic based concrete defects identification via wavelet packet transform and GA-BP neural network13
How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models13
Facial expression recognition based on active region of interest using deep learning and parallelism12
Secure and dynamic access control for the Internet of Things (IoT) based traffic system12
Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss12
The role of metacognition in promoting deep learning in MOOCs during COVID-19 pandemic12
A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks12
Adaptive model to support business process reengineering12
A systematic review on artificial intelligence techniques for detecting thyroid diseases12
Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms12
Video captioning based on vision transformer and reinforcement learning12
How to get best predictions for road monitoring using machine learning techniques12
Classifier uncertainty: evidence, potential impact, and probabilistic treatment12
Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments12
Robust adaptive PD-like control of lower limb rehabilitation robot based on human movement data12
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism12
Sensitivity of deep learning applied to spatial image steganalysis12
Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential12
Technology investigation on time series classification and prediction12
Sentiment analysis of vegan related tweets using mutual information for feature selection12
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