PeerJ Computer Science

Papers
(The TQCC of PeerJ Computer Science is 6. 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 2020-08-01 to 2024-08-01.)
ArticleCitations
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation1487
The multi-modal fusion in visual question answering: a review of attention mechanisms155
Research on image classification method based on improved multi-scale relational network139
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework134
Joint embedding VQA model based on dynamic word vector125
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network98
Blockchain and smart contract for IoT enabled smart agriculture95
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning82
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease81
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations80
A comprehensive review of deep learning-based single image super-resolution77
Self-supervised learning methods and applications in medical imaging analysis: a survey76
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing75
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 learning70
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures69
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms69
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning69
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing63
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study58
Survey on graph embeddings and their applications to machine learning problems on graphs58
Towards generalisable hate speech detection: a review on obstacles and solutions57
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model57
Detection of sitting posture using hierarchical image composition and deep learning56
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays53
Lightweight transformer image feature extraction network53
PyMC: a modern, and comprehensive probabilistic programming framework in Python53
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches53
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier49
Data augmentation based malware detection using convolutional neural networks47
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification46
Explainable stock prices prediction from financial news articles using sentiment analysis45
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods44
Secure biometric authentication with de-duplication on distributed cloud storage44
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features44
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions41
A systematic literature review on spam content detection and classification41
Selective oversampling approach for strongly imbalanced data39
Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks39
Classification model for accuracy and intrusion detection using machine learning approach39
Overview of current state of research on the application of artificial intelligence techniques for COVID-1939
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models38
Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study38
A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm37
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model37
Knowledge distillation in deep learning and its applications37
Fake news detection: a survey of evaluation datasets36
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles36
pyVHR: a Python framework for remote photoplethysmography36
LSTM-based sentiment analysis for stock price forecast35
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-1934
ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans33
A new optimization algorithm based on mimicking the voting process for leader selection33
A novel multi-class imbalanced EEG signals classification based on the adaptive synthetic sampling (ADASYN) approach33
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images33
COVID-19: a new deep learning computer-aided model for classification33
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS31
A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset31
Network intrusion detection using oversampling technique and machine learning algorithms30
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans30
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study29
Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media29
A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans29
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover28
Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer27
Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics27
IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage27
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images27
Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning27
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis27
Deepfake tweets classification using stacked Bi-LSTM and words embedding27
A systematic review on machine learning models for online learning and examination systems27
State-of-the-art violence detection techniques in video surveillance security systems: a systematic review27
A review of microscopic analysis of blood cells for disease detection with AI perspective27
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases27
Artificial intelligence maturity model: a systematic literature review27
PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites26
Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation26
Formulaic language identification model based on GCN fusing associated information26
Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks26
Self-supervised recurrent depth estimation with attention mechanisms25
Mobile-assisted and gamification-based language learning: a systematic literature review25
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition25
OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals25
A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data25
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN24
ShExML: improving the usability of heterogeneous data mapping languages for first-time users24
Cyber-attack method and perpetrator prediction using machine learning algorithms24
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data24
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?24
Predicting Brazilian Court Decisions24
Effect on speech emotion classification of a feature selection approach using a convolutional neural network23
RiceChain: secure and traceable rice supply chain framework using blockchain technology23
Efficient UAV-based mobile edge computing using differential evolution and ant colony optimization23
A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images23
Deep learning model for deep fake face recognition and detection23
Classification ofZophobas morioandTenebrio molitorusing transfer learning23
Online supervised attention-based recurrent depth estimation from monocular video23
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm23
Introductory programming course: review and future implications23
Application and evaluation of knowledge graph embeddings in biomedical data22
Fusion of text and graph information for machine learning problems on networks22
Stance detection with BERT embeddings for credibility analysis of information on social media22
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images22
Numerical behavior of NVIDIA tensor cores22
Descriptive analysis of dental X-ray images using various practical methods: A review22
A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments22
FrameAxis: characterizing microframe bias and intensity with word embedding22
Deep learning-based anomaly-onset aware remaining useful life estimation of bearings22
The classification of movement intention through machine learning models: the identification of significant time-domain EMG features22
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species22
Deep learning for aspect-based sentiment analysis: a review21
A framework for the prediction of earthquake using federated learning21
GrimoireLab: A toolset for software development analytics21
A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss21
Impact analysis of keyword extraction using contextual word embedding21
Big data clustering techniques based on Spark: a literature review21
Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms21
A novel deep autoencoder based survival analysis approach for microarray dataset20
Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact20
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)20
Predictions of bitcoin prices through machine learning based frameworks20
Machine learning analysis of TCGA cancer data20
Deep learning prediction of mild cognitive impairment conversion to Alzheimer’s disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI20
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model20
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network20
Advanced methods for missing values imputation based on similarity learning20
Semantic micro-contributions with decentralized nanopublication services19
A survey of Sybil attack countermeasures in IoT-based wireless sensor networks19
Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records19
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry19
Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media19
Predicting rice diseases across diverse agro-meteorological conditions using an artificial intelligence approach19
Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system18
Temporal network embedding framework with causal anonymous walks representations18
IoT-CCAC: a blockchain-based consortium capability access control approach for IoT18
Empirical evaluation of methods forde novogenome assembly18
Neural network hyperparameter optimization for prediction of real estate prices in Helsinki18
Microservice security: a systematic literature review18
Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction18
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak17
Identifying defective solar cells in electroluminescence images using deep feature representations17
Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach17
Collective view: mapping Sargassum distribution along beaches17
Bots in software engineering: a systematic mapping study17
Immersive virtual environments and embodied agents for e-learning applications17
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach17
Smart apiculture management services for developing countries—the case of SAMS project in Ethiopia and Indonesia17
Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach17
Lightweight and efficient neural network with SPSA attention for wheat ear detection16
Feature selection of EEG signals in neuromarketing16
The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central16
Emerging IoT domains, current standings and open research challenges: a review16
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis16
Multi-step rainfall forecasting using deep learning approach16
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis16
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators16
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT16
Efficient data transmission on wireless communication through a privacy-enhanced blockchain process16
A comparative analysis on question classification task based on deep learning approaches16
Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia16
Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition16
Assistive technology: autonomous wheelchair in obstacle-ridden environment16
Prescriptive process monitoring: Quo vadis?16
Ordinal losses for classification of cervical cancer risk15
People’s expectations and experiences of big data collection in the Saudi context15
OES-Fed: a federated learning framework in vehicular network based on noise data filtering15
Abusive language detection in youtube comments leveraging replies as conversational context15
AndroAnalyzer: android malicious software detection based on deep learning15
Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia15
The rise of obfuscated Android malware and impacts on detection methods15
A new optimization algorithm based on average and subtraction of the best and worst members of the population for solving various optimization problems15
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation15
A knowledge graph based question answering method for medical domain15
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)15
A multi-objective algorithm for virtual machine placement in cloud environments using a hybrid of particle swarm optimization and flower pollination optimization15
Incremental learning of LSTM framework for sensor fusion in attitude estimation15
Machine learning applications to predict two-phase flow patterns15
A systematic review of automated pre-processing, feature extraction and classification of cardiotocography15
Integer particle swarm optimization based task scheduling for device-edge-cloud cooperative computing to improve SLA satisfaction15
Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble14
Blockchain technology in the pharmaceutical industry: a systematic review14
IoT-based intrusion detection system using convolution neural networks14
A machine learning framework for the prediction of chromatin folding inDrosophilausing epigenetic features14
Vector representation based on a supervised codebook for Nepali documents classification14
Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks14
Current approaches for executing big data science projects—a systematic literature review14
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet14
Multi-label emotion classification of Urdu tweets14
Log-based software monitoring: a systematic mapping study14
A deep learning approach to predict blood-brain barrier permeability14
On the classification of Microsoft-Windows ransomware using hardware profile14
Research on digital copyright protection based on the hyperledger fabric blockchain network technology14
The distributed ledger technology as a measure to minimize risks of poor-quality pharmaceuticals circulation14
Undergraduate data science degrees emphasize computer science and statistics but fall short in ethics training and domain-specific context14
Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks13
Alzheimer’s disease diagnosis and classification using deep learning techniques13
FCMpy: a python module for constructing and analyzing fuzzy cognitive maps13
Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm13
The adoption of an e-learning system using information systems success model: a case study of Jazan University13
A novel IoT-based health and tactical analysis model with fog computing13
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study13
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification13
Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic13
Exploring the technological acceptance of a mobile learning tool used in the teaching of an indigenous language13
Event detection in finance using hierarchical clustering algorithms on news and tweets13
Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction13
Low-cost intelligent surveillance system based on fast CNN13
A deep learning-based ensemble method for helmet-wearing detection13
Automatic modular design of robot swarms using behavior trees as a control architecture13
Accessibility challenges of e-commerce websites13
Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system13
CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism13
The classification of skateboarding tricks via transfer learning pipelines13
Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models13
Equity distribution of quality evaluation reports to doctors in health care organizations12
Ultrasonic based concrete defects identification via wavelet packet transform and GA-BP neural network12
A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities12
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem12
Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings12
Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments12
Assessing English language sentences readability using machine learning models12
Defining and measuring microservice granularity—a literature overview12
Distributed ledger technology based robust access control and real-time synchronization for consumer electronics12
How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models12
Robust adaptive PD-like control of lower limb rehabilitation robot based on human movement data12
Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble12
Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks12
Sentiment analysis of vegan related tweets using mutual information for feature selection12
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain12
Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images12
Classification of breast cancer using a manta-ray foraging optimized transfer learning framework12
Deepfake video detection: YOLO-Face convolution recurrent approach12
Secure and dynamic access control for the Internet of Things (IoT) based traffic system12
Classifier uncertainty: evidence, potential impact, and probabilistic treatment12
Technology investigation on time series classification and prediction11
Steganography in color images with random order of pixel selection and encrypted text message embedding11
A three-stage heuristic task scheduling for optimizing the service level agreement satisfaction in device-edge-cloud cooperative computing11
Automatic emotion recognition in healthcare data using supervised machine learning11
Discovering generative models from event logs: data-driven simulation vs deep learning11
A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks11
Efficient steganalysis using convolutional auto encoder network to ensure original image quality11
Effects of using mobile augmented reality for simple interest computation in a financial mathematics course11
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism11
Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential11
Adaptive model to support business process reengineering11
A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks11
A systematic literature review on the usability of mobile applications for visually impaired users11
Modular automatic design of collective behaviors for robots endowed with local communication capabilities11
Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms11
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