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 2020-05-01 to 2024-05-01.)
ArticleCitations
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation1219
The multi-modal fusion in visual question answering: a review of attention mechanisms140
Research on image classification method based on improved multi-scale relational network136
Joint embedding VQA model based on dynamic word vector124
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework114
Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network95
Blockchain and smart contract for IoT enabled smart agriculture87
Classification of botnet attacks in IoT smart factory using honeypot combined with machine learning79
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease75
Deep learning based Sequential model for malware analysis using Windows exe API Calls71
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing70
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm68
From ECG signals to images: a transformation based approach for deep learning67
A comprehensive review of deep learning-based single image super-resolution66
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning63
Self-supervised learning methods and applications in medical imaging analysis: a survey63
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms63
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations61
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures59
Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model57
Survey on graph embeddings and their applications to machine learning problems on graphs56
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing56
Towards generalisable hate speech detection: a review on obstacles and solutions53
Detection of sitting posture using hierarchical image composition and deep learning50
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches48
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier48
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays48
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification44
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features44
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study41
Explainable stock prices prediction from financial news articles using sentiment analysis41
Data augmentation based malware detection using convolutional neural networks41
Forecasting Bitcoin closing price series using linear regression and neural networks models40
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods39
Secure biometric authentication with de-duplication on distributed cloud storage39
Overview of current state of research on the application of artificial intelligence techniques for COVID-1938
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images36
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions36
A systematic literature review on spam content detection and classification36
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model35
Classification model for accuracy and intrusion detection using machine learning approach35
Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks35
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles34
Selective oversampling approach for strongly imbalanced data34
A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm34
Knowledge distillation in deep learning and its applications33
Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study33
Adaptations of data mining methodologies: a systematic literature review33
COVID-19: a new deep learning computer-aided model for classification32
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images32
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS31
LSTM-based sentiment analysis for stock price forecast31
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-1931
A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset30
A new optimization algorithm based on mimicking the voting process for leader selection29
Fake news detection: a survey of evaluation datasets29
pyVHR: a Python framework for remote photoplethysmography28
PyMC: a modern, and comprehensive probabilistic programming framework in Python28
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models28
A novel multi-class imbalanced EEG signals classification based on the adaptive synthetic sampling (ADASYN) approach28
ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans28
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans28
Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media27
A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans27
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases27
Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning26
Formulaic language identification model based on GCN fusing associated information26
Network intrusion detection using oversampling technique and machine learning algorithms26
IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage26
Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics25
Deepfake tweets classification using stacked Bi-LSTM and words embedding25
A review of microscopic analysis of blood cells for disease detection with AI perspective25
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover25
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study25
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis24
Mobile-assisted and gamification-based language learning: a systematic literature review24
Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer24
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images24
Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation23
Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks23
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition23
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN23
Cyber-attack method and perpetrator prediction using machine learning algorithms23
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data23
Introductory programming course: review and future implications22
Application and evaluation of knowledge graph embeddings in biomedical data22
OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals22
Fusion of text and graph information for machine learning problems on networks22
FrameAxis: characterizing microframe bias and intensity with word embedding22
Online supervised attention-based recurrent depth estimation from monocular video21
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?21
Numerical behavior of NVIDIA tensor cores21
GrimoireLab: A toolset for software development analytics21
Deep learning-based anomaly-onset aware remaining useful life estimation of bearings21
A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images20
Deep learning for aspect-based sentiment analysis: a review20
Predicting Brazilian Court Decisions20
A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data20
Effect on speech emotion classification of a feature selection approach using a convolutional neural network20
PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites20
Classification ofZophobas morioandTenebrio molitorusing transfer learning20
ShExML: improving the usability of heterogeneous data mapping languages for first-time users20
Self-supervised recurrent depth estimation with attention mechanisms20
Big data clustering techniques based on Spark: a literature review20
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species20
A systematic review on machine learning models for online learning and examination systems20
Deep learning prediction of mild cognitive impairment conversion to Alzheimer’s disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI19
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network19
Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms19
A framework for the prediction of earthquake using federated learning19
The classification of movement intention through machine learning models: the identification of significant time-domain EMG features19
Artificial intelligence maturity model: a systematic literature review19
Predictions of bitcoin prices through machine learning based frameworks19
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm18
RiceChain: secure and traceable rice supply chain framework using blockchain technology18
Efficient UAV-based mobile edge computing using differential evolution and ant colony optimization18
Descriptive analysis of dental X-ray images using various practical methods: A review18
Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction18
A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss18
Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media18
Stance detection with BERT embeddings for credibility analysis of information on social media18
A survey of Sybil attack countermeasures in IoT-based wireless sensor networks17
A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments17
Temporal network embedding framework with causal anonymous walks representations17
A novel deep autoencoder based survival analysis approach for microarray dataset17
Identifying defective solar cells in electroluminescence images using deep feature representations17
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images17
Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach17
Collective view: mapping Sargassum distribution along beaches17
Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact17
Advanced methods for missing values imputation based on similarity learning17
Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records16
Impact analysis of keyword extraction using contextual word embedding16
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)16
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis16
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak16
Empirical evaluation of methods forde novogenome assembly16
Deep learning model for deep fake face recognition and detection16
State-of-the-art violence detection techniques in video surveillance security systems: a systematic review16
Smart apiculture management services for developing countries—the case of SAMS project in Ethiopia and Indonesia16
People’s expectations and experiences of big data collection in the Saudi context15
Ordinal losses for classification of cervical cancer risk15
OES-Fed: a federated learning framework in vehicular network based on noise data filtering15
Incremental learning of LSTM framework for sensor fusion in attitude estimation15
IoT-CCAC: a blockchain-based consortium capability access control approach for IoT15
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)15
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model15
Predicting rice diseases across diverse agro-meteorological conditions using an artificial intelligence approach15
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach15
Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition15
Assistive technology: autonomous wheelchair in obstacle-ridden environment15
Feature selection of EEG signals in neuromarketing14
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification14
Abusive language detection in youtube comments leveraging replies as conversational context14
Machine learning applications to predict two-phase flow patterns14
Vector representation based on a supervised codebook for Nepali documents classification14
Multi-step rainfall forecasting using deep learning approach14
Machine learning analysis of TCGA cancer data14
The distributed ledger technology as a measure to minimize risks of poor-quality pharmaceuticals circulation14
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry14
Emerging IoT domains, current standings and open research challenges: a review14
A comparative analysis on question classification task based on deep learning approaches14
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators14
Immersive virtual environments and embodied agents for e-learning applications14
A new optimization algorithm based on average and subtraction of the best and worst members of the population for solving various optimization problems14
Neural network hyperparameter optimization for prediction of real estate prices in Helsinki14
The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central13
Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach13
Microservice security: a systematic literature review13
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis13
Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia13
Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models13
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation13
Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system13
Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction13
Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia13
Current approaches for executing big data science projects—a systematic literature review13
A novel IoT-based health and tactical analysis model with fog computing13
Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic13
AndroAnalyzer: android malicious software detection based on deep learning13
A knowledge graph based question answering method for medical domain13
A systematic review of automated pre-processing, feature extraction and classification of cardiotocography13
Semantic micro-contributions with decentralized nanopublication services13
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet13
Robust adaptive PD-like control of lower limb rehabilitation robot based on human movement data13
A machine learning framework for the prediction of chromatin folding inDrosophilausing epigenetic features12
Integer particle swarm optimization based task scheduling for device-edge-cloud cooperative computing to improve SLA satisfaction12
On the classification of Microsoft-Windows ransomware using hardware profile12
Equity distribution of quality evaluation reports to doctors in health care organizations12
Lightweight and efficient neural network with SPSA attention for wheat ear detection12
Distributed ledger technology based robust access control and real-time synchronization for consumer electronics12
A deep learning-based ensemble method for helmet-wearing detection12
Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system12
Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments12
Log-based software monitoring: a systematic mapping study12
A deep learning approach to predict blood-brain barrier permeability12
Ultrasonic based concrete defects identification via wavelet packet transform and GA-BP neural network12
Lightweight transformer image feature extraction network12
Research on digital copyright protection based on the hyperledger fabric blockchain network technology12
Bots in software engineering: a systematic mapping study12
FCMpy: a python module for constructing and analyzing fuzzy cognitive maps12
Prescriptive process monitoring: Quo vadis?12
Undergraduate data science degrees emphasize computer science and statistics but fall short in ethics training and domain-specific context12
Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble12
The classification of skateboarding tricks via transfer learning pipelines12
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study12
A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities12
Automatic modular design of robot swarms using behavior trees as a control architecture12
Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms11
Efficient data transmission on wireless communication through a privacy-enhanced blockchain process11
Classifier uncertainty: evidence, potential impact, and probabilistic treatment11
The adoption of an e-learning system using information systems success model: a case study of Jazan University11
A multi-objective algorithm for virtual machine placement in cloud environments using a hybrid of particle swarm optimization and flower pollination optimization11
Defining and measuring microservice granularity—a literature overview11
Effects of data count and image scaling on Deep Learning training11
FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems11
Deepfake video detection: YOLO-Face convolution recurrent approach11
Automatic emotion recognition in healthcare data using supervised machine learning11
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT11
Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks11
Multi-label emotion classification of Urdu tweets11
A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks11
The rise of obfuscated Android malware and impacts on detection methods11
Switch controllers of an n-link revolute manipulator with a prismatic end-effector for landmark navigation11
Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks11
Low-cost intelligent surveillance system based on fast CNN11
Modular automatic design of collective behaviors for robots endowed with local communication capabilities11
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem11
Secure and dynamic access control for the Internet of Things (IoT) based traffic system11
Exploring the technological acceptance of a mobile learning tool used in the teaching of an indigenous language11
Steganography in color images with random order of pixel selection and encrypted text message embedding11
Efficient steganalysis using convolutional auto encoder network to ensure original image quality11
Event detection in finance using hierarchical clustering algorithms on news and tweets11
Blockchain technology in the pharmaceutical industry: a systematic review11
Efficiency aware scheduling techniques in cloud computing: a descriptive literature review11
Database limitations for studying the human gut microbiome11
Facial expression recognition based on active region of interest using deep learning and parallelism11
Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks10
A survey on common criteria (CC) evaluating schemes for security assessment of IT products10
A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks10
Sentiment analysis of vegan related tweets using mutual information for feature selection10
Video captioning based on vision transformer and reinforcement learning10
Accessibility challenges of e-commerce websites10
Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential10
Enhancement of conformational B-cell epitope prediction using CluSMOTE10
Discovering generative models from event logs: data-driven simulation vs deep learning10
Musculoskeletal modeling and humanoid control of robots based on human gait data10
Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm10
Traffic signal coordination control along oversaturated two-way arterials10
BMDD: a novel approach for IoT platform (broker-less and microservice architecture, decentralized identity, and dynamic transmission messages)10
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