A combined system metrics approach to cloud service reliability using artificial intelligence

TR Chhetri, CK Dehury, A Lind, SN Srirama… - Big Data and Cognitive …, 2022 - mdpi.com
Identifying and anticipating potential failures in the cloud is an effective method for
increasing cloud reliability and proactive failure management. Many studies have been …

[HTML][HTML] Разработка интеллектуальной модели для автоматизированного определения стиля архитектуры здания

ПА Пылов, АВ Дягилева, ЕА Николаева… - Вестник Томского …, 2023 - cyberleninka.ru
Актуальность темы исследования обусловлена постоянным ростом интереса к
тематике цифровой трансформации общества и всех сфер деятельности, в которое …

[图书][B] Основы работы с моделями машинного и глубокого обучения

П Пылов, Р Майтак, А Дягилева - 2023 - books.google.com
Представлены необходимые инструменты для программной и математической
разработки моделей прикладного машинного и глубокого обучения. Показаны базовые …

A Review of Artificial Intelligence Models in Prognosticating Abdominal Aorta Aneurysms

SK Saw, SA Sopandi, R bin Ramely… - … Industrial 4.0 Systems …, 2022 - igi-global.com
Abdominal aorta aneurysm (AAA) is defined as an abnormal dilatation of the aorta at least
50% more than the adjacent normal vessel diameter. AAA is usually asymptomatic until …

A Rural Healthcare Mobile App: Urdu Voice-Enabled Mobile App for Disease Diagnosis

A Ahmed, AA Khan, I Shah, MA Tahir… - … Industrial 4.0 Systems …, 2022 - igi-global.com
This chapter presents a voice-enabled mobile application that provides preliminary medical
diagnosis of non-fatal diseases. It operates in Urdu language, asking questions from the …

A combined metrics approach to cloud service reliability using artificial intelligence

T Chhetri, CK Dehury, A Lind, SN Srirama, A Fensel - 2021 - preprints.org
Identifying and anticipating potential failures in the cloud is an effective method for
increasing cloud reliability and proactive failure management. Many studies have been …

Deep learning for identification of gallbladder leakage during laparoscopic cholecystectomy

MH Gerkema - 2020 - essay.utwente.nl
This study aimed to develop a deep learning algorithm which is able to detect bile leakage
in laparoscopic cholecystectomy video frames. More research into complications could be …

Qualitat metodològica i report de les tècniques clustering en ciències de l'esport: una revisió sistemàtica

M Plensa Santallúsia - 2022 - upcommons.upc.edu
L'estadística descriptiva i concretament les tècniques clustering són de les més aplicades
en les ciències de l'esport. Aquest treball presenta una revisió sistemàtica (RS) d'articles …

[PDF][PDF] Towards AI for cloud services reliability using combined metrics

TR Chhetri - kodu.ut.ee
With the emergence of cloud computing and the Quality of Services (QoS), Compute Power,
Performance, and Scalability it offers, the paradigm of computing has shifted towards the …