Chronic Kidney Disease is a serious lifelong condition that induced by either kidney pathology or reduced functions. Early prediction and proper treatments can possibly stop, slow the progression of this chronic disease to end-stage, where dialysis transplantation only way save patient's life. In study, we examine ability several machine-learning methods for early Disease. This matter has been studied widely; however, are supporting our methodology use predictive analytics, in which...

The contextual compendium analysis presented in this paper focuses on the Industry 4.0 and healthcare services innovation that relate to it. appraisal discerns specific components of their related innovations or contribution industry. first component, Cyber-physical systems, has led Medical systems applied different circumstance improve efficiency service provision. second Internet Things, brought with it expanded networks, biosensors, smart pharmaceuticals, other artificial organs. final...

Under the influence of COVID-19 pandemic, there is an accelerated transition from traditional form knowledge transfer to online learning. Our study 344 automotive students showed that success this depends on readiness introduce special digital tools for organizing and conducting practical forms classes. In regard, a modern transferring service engineers in virtual laboratories was developed presented article. The work scenarios, functionality, minimum technical requirements as software...

Machine learning is a branch of Artificial Intelligence that concerned with the design and development algorithms, it enables today's computers to have property learning. gradually growing becoming critical approach in many domains such as health, education, business.In this paper, we applied machine diabetes dataset aim recognizing patterns combinations factors characterizes or explain re-admission among patients. The classifiers used include Linear Discriminant Analysis, Random Forest,...

Alzheimer's disease (AD) is a type of brain disorder that regarded as degenerative because the corresponding symptoms aggravate with time progression. Single nucleotide polymorphisms (SNPs) have been identified relevant biomarkers for this condition. This study aims to identify SNPs associated AD in order perform reliable classification AD. In contrast existing related works, we utilize deep transfer learning varying experimental analysis For purpose, convolutional neural networks (CNN) are...

Appears in: EDULEARN18 Proceedings Publication year: 2018Pages: 6562-6571ISBN: 978-84-09-02709-5ISSN: 2340-1117doi: 10.21125/edulearn.2018.1564Conference name: 10th International Conference on Education and New Learning TechnologiesDates: 2-4 July, 2018Location: Palma, Spain

The process of cement manufacturing produces a huge amount carbon dioxide (CO2). utilization alternative waste materials from various industrial processes as partial substitution to is encouraged due environmental and specific technical requirements. This strategy will have the potential reduce cost cement, conserve energy, volumes. Therefore, aim this research investigate effect replacement with modified fly ash (MFA) ground granulated blast furnace slag (GGBS) reach 80% total on mechanical...

Sign Language Recognition is a form of action recognition problem. The purpose such system to automatically translate sign words from one language another. While much work has been done in the SLR domain, it broad area study and numerous areas still need research attention. that we present this paper aims investigate suitability deep learning approaches recognizing classifying video frames different languages. We consider three languages, namely Indian Language, American Turkish Language....

The risk assessment of any Network or Security systems has a high level uncertainties because usually probability and statistics were used to evaluate the security different cyber systems. In this paper we will use Shannon entropy represent uncertainty information calculate weight method since object index is normally point significant components index. We in terms layers protections. system analysed by perimeter, network, host, application data layers' capability protections measured...

Abstract Speech is the essential way to interact between humans or human and machine. However, it always contaminated with different types of environment noise. Therefore, speech enhancement algorithms (SEA) have appeared as a significant approach in processing filed suppress background noise return back original signal. In this paper, new efficient two-stage SEA low distortion proposed based on minimum mean square error sense. The estimation clean signal performed by taking advantages...

Phishing website detection is the task of classifying websites as phishing or legitimate based on URL parameters and certain behaviour site. In today's world, dependency has become inevitable. With increase in users population rise internet, cyber-attacks have a common thing. Attackers across globe target innocent to steal their personal classified information such login credentials, credit debit card information, which may lead serious monetary identity damage for users. One main challenges...

Alzheimer's disease (AD) is neurodegenerative brain illness. It classified as a degenerative illness since it worsens with time. A multitude of risk factors contribute to the development disease, such demographic information, test scores, and genetics. The paper presents comparison machine learning algorithms identify highest accuracy level in classification Late Onset disease. Dataset from Disease Neuroimaging Initiative has been requested train models. dataset included 539 normal controls...

Electronic Governance (e-Governance) is the application of Information and Communication Technology (ICT) with aim to simplify support governance across different parties including public government organizations, business citizens. Through adoption use technology which will connect all these three together overall government's processes operations. It's anticipated that e-Governance shall bring boundless improvements towards strategic planning, proper monitoring programs, investments,...

Education With the inclusion and integration of internet digital learning 2. 0 brought tools in different context education. The use social networking concepts such as chat rooms ever-growing student data have placed education on brink becoming one craters users Big Data. As such, this paper explores educational mining techniques alongside some emerging analytics with objective gaining insight into common behaviors among students. task at hand embraces predictive it employs decision trees,...

The rate at which people miss hospital appointments has decreased but remains a big concern for health care professionals as well funding agencies. This research paper used an open data obtained from the NHS database to determine factors that may lead missed and create model can be predict likelihood of patient missing appointment. Logistic regression models bivariate analysis were whether there was meaningful relationship/association between "did not attend" forgetfulness, gender, apathy,...