A Deep-Learning Approach to Driver Drowsiness Detection

Safety, Journal Year: 2023, Volume and Issue: 9(3), P. 65 - 65

Published: Sept. 13, 2023

Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has become an essential task to seek understanding the situation in order be able take immediate remedial actions detect driver drowsiness and enhance road safety. To address issue safety, proposed model offers method for evaluating level fatigue based changes driver’s eyeball movement using convolutional neural network (CNN). Further, with help CNN VGG16 models, facial sleepiness expressions were detected classified into four categories (open, closed, yawning, no yawning). Subsequently, dataset 2900 images eye conditions associated was used test which include different range features such as gender, age, head position, illumination. The results devolved models show high degree accountability, whereas achieved accuracy rate 97%, precision 99%, recall F-score values 99%. reached 74%. This considerable contrast between state-of-the-art methods literature similar problems.

Language: Английский

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Harnessing Geospatial Technology for Sustainable Development: A Multifaceted Analysis of Current Practices and Future Prospects

Published: Jan. 1, 2024

Language: Английский

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Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model

Mathematical Modelling and Engineering Problems, Journal Year: 2022, Volume and Issue: 9(6), P. 1574 - 1582

Published: Dec. 31, 2022

Saudi Telecom Company (STC) is among the most popular companies in Arabia, with many customers. Yet, there still a big room for improvement users' satisfaction. Social media robust platform to gauge satisfaction and determine their sentiments critics. Twitter social this regard. STC customers prefer use write feedback because it's fast way get responses due customer services account. One achieve demands improve service using Sentiment Analysis tool. on highly used of significant number tweets different opinions. Likewise, Deep learning best existing method, it has diverse models. Bidirectional Encoder Representations from Transformers (BERT) model one deep models which have achieved excellent results Natural Language Processing (NLP). NLP mainly investigated English language. However, Arabic, gap be filled. This study trained proposed MARBERT measured performance f1-score, precision, recall metrics. We an Arabic dataset 24,513 tweets, including 1,437 positive, 13,828 negative, 5,694 neutral, 1,221 sarcasm, 2,297 indeterminate tweets. The main goal analyze sentiment service. scheme promising terms accuracy contrast techniques literature.

Language: Английский

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Blockchain Empowered Interoperable Framework for Smart Healthcare

Mathematical Modelling and Engineering Problems, Journal Year: 2024, Volume and Issue: 11(5), P. 1330 - 1340

Published: May 30, 2024

In the past, healthcare industry used paper-based systems to manage and store medical records.However, these are vulnerable data breaches, loss, errors.To overcome issues, a research study has been conducted create safe efficient Electronic Data Interchange (EDI) system for using blockchain technology.The utilized various tools methods including Python as programming language implement environment, pyQT5 library graphical user interface (GUI), MySQL database management repository Health Records (EHR) with DBeaver, cross-platform tool management.The work involves development of blockchain-based smart contract storage, exchange, retrieval EHR.Additionally, application based on is created provide users friendly GUI.The proposed provides secure platform storing managing EHR well enabling EDI among stakeholders like practices, doctors, labs, pharmacies.Furthermore, scalable user-friendly, includes features patient visits, history, appointment scheduling.Blockchain technology ensures integrity, EDI, confidentiality, while user-friendly enhances experience compared existing standards health level 7 (HL7).

Language: Английский

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Assessment of Information Extraction Techniques, Models and Systems

Mathematical Modelling and Engineering Problems, Journal Year: 2022, Volume and Issue: 9(3), P. 683 - 696

Published: June 30, 2022

The present article aims to review and evaluate the practiced classical techniques, tools, models, systems concerning automatic information extraction (IE) from published scientific documents like research articles, patents, theses, technical reports, case studies etc. IE is performed for various reasons such as better indexing, archiving, searching, retrieving. That mainly used by search engines indexing services well digital libraries semantic web. In this regard, several have been conducted targeting nature of documents. study pays special consideration successful algorithms approaches applied structural To grasp this, paper classified into segments each segment covers a significant aspect IE. Furthermore, validate their benefits drawbacks, comparative all in terms performance factors precision, accuracy, recall F-score. Potential areas improvement emphasized gap scholars closely related areas. Ultimately, comprehensive summary evaluation presented tabular form concluded. It was observed that hybrid methods outperform other due versatile address document formats.

Language: Английский

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Early Detection of Diabetic Retinopathy Utilizing Advanced Fuzzy Logic Techniques

Mathematical Modelling and Engineering Problems, Journal Year: 2023, Volume and Issue: 10(6), P. 2086 - 2094

Published: Dec. 21, 2023

The escalating prevalence of diabetes globally, exacerbated by lifestyle changes postpandemic-including increased screen time, sedentary behavior, and remote workhas consequently driven a surge in associated complications, notably, Diabetic Retinopathy (DR).This ocular complication presents pressing concern due to its potential precipitate irreversible vision loss.Consequently, the necessity for timely accurate DR detection is paramount, especially circumstances where conventional diagnostic approaches are either challenging or financially prohibitive.Capitalizing on prowess fuzzy logic managing uncertainties, this study introduces an innovative application Extended Fuzzy Logic early-stage DR.Rather than focusing solely overt symptoms, approach discerns subtle similarities retinal irregularities between diabetic patients non-diabetic individuals.To quantify these similarities, 'f-validity' value was computed based risk factors which were subsequently transformed into membership function values.The aggregation values facilitated Ordered Weighted Averaging (OWA) operator.The experimental outcomes align satisfactorily with expert anticipations, boasting accuracy 90%, precision 92.2%, sensitivity 75%.These results, when juxtaposed against contemporary studies field, underscore promise scheme advancing early diagnostics DR.The thus proposes solution that leverages power address burgeoning challenge DR.

Language: Английский

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Desain Backbone System Platform Metabase GIS Data Analysis Berbasis Cloud

Techno Com, Journal Year: 2023, Volume and Issue: 22(4), P. 1004 - 1013

Published: Nov. 28, 2023

Tujuan dari penelitian ini adalah untuk mengkaji bagaimana kualitas air dan sanitasi mempengaruhi Kejadian Luar Biasa (KLB) Diare di Provinsi Jawa Barat, Indonesia, menggunakan data Pendataan Potensi Desa (PODES) tahun 2021. merupakan permasalahan serius dalam kesehatan masyarakat terutama pada kelompok anak balita, salah satu faktor penyebab utamanya rendahnya sanitasi. Dalam konteks ini, kami menerapkan metode algoritma K-Nearest Neighbors (K-NN) mengklasifikasikan wilayah-wilayah yang mengalami KLB Diare. Hasil eksplorasi menunjukkan variasi signifikan jumlah kasus diare sejumlah kabupaten kota tersebar wilayah Barat. Untuk menangani masalah ketidakseimbangan data, teknik Pengurangan Acak (Random Under Sampling), Penambahan Over Synthetic Minority Oversampling Technique (SMOTE). analisis bahwa model K-NN dengan penggunaan SMOTE menghasilkan tingkat akurasi tertinggi, yaitu sebesar 71.28%. Meskipun demikian, nilai F1 score semua cenderung rendah, mengindikasikan adanya tantangan Penelitian memberikan wawasan penting mengenai korelasi antara air, sanitasi, serta mengidentifikasi memerlukan perhatian lebih upaya pencegahan pengendalian penyakit diare. dapat digunakan sebagai dasar merancang program-program efektif daerah-daerah insiden tinggi.

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Implementation of Big Data Information System Using Open-Source Metabase for Civil Registration and Vital Statistics Data Visualization in Surabaya

JOIV International Journal on Informatics Visualization, Journal Year: 2023, Volume and Issue: 7(4), P. 2358 - 2358

Published: Dec. 31, 2023

Civil registration involves the mandatory and continuous documentation of important life events a country's population under local legal requirements. In many countries, these documents are required to access government services such as education, healthcare, social services, formal employment, insurance benefits, inheritance rights. Indonesia should prioritize building comprehensive Registration Vital Statistics (CRVS) using big data information system ensure every individual has identity, can collect accurate reliable statistics on vital through geospatial maps. Surabaya, city in Indonesia, still needs system. We produce informative visualizations from query modeling processes Metabase. Based PIECES framework, this application's importance level is 4.56 or 91.25%, meaning application important, satisfaction 4.29 85.76%, satisfied for respondents. This research provides brief overview how Metabase works it be used generate job-type data. It demonstrates ease with which changed customized. had good affordability point, making its implementation easier more beneficial. also emphasizes having powerful tool like analysis decision-making, especially dispendukcapil civil agency.

Language: Английский

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ML-Based Prediction of Ideal Discipline for UG Students: A Sustainable Educational Perspective

Technical and vocational education and training, Journal Year: 2024, Volume and Issue: unknown, P. 283 - 293

Published: Jan. 1, 2024

Language: Английский

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Blockchain for Secure Healthcare: Opportunities, Challenges and Solutions

Mathematical Modelling and Engineering Problems, Journal Year: 2022, Volume and Issue: 9(5), P. 1313 - 1320

Published: Dec. 13, 2022

With the tremendous advancement in information and communication technologies (ICT), gradually human lives have been relying on them by means of healthcare, communication, many other aspects.However, ICT has a major issue terms security which is one hottest areas research at present.Among numerous modern that help improving privacy, Blockchain grabbed its place remarkably enhanced industries.Furthermore, executed within or top cloud computing paradigm allows users to obtain essential data with more security.With that, inherent privacy related issues are radically mitigated.Currently, among several industrial systems, healthcare systems maintained through cloudbased centers facilitate diverse stakeholders like patients, practices, labs, pharmacies, entities, processing ubiquity.However, not adequate thus vulnerable breaches.As potential solution, Blockchain-based Cloud Computing offers availability for these records what Healthcare mainly lacking.In this paper, we will state how affecting field, enhancements could happen if medical use Blockchain.Moreover, opportunities secure challenges their solutions discussed.

Language: Английский

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