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Real-time detection of coke particles in blast furnace operations using machine learning: Case of a steel plant in India
M Sabharwal, H Meena, S Sarkar… - Ironmaking & …, 2024 - journals.sagepub.com
The efficiency of blast furnace operations in a steel plant relies on the quality of raw
materials, including coke. The particle size distribution (PSD) of coke plays a vital role in …
materials, including coke. The particle size distribution (PSD) of coke plays a vital role in …
Developments on the “Machine Learning as a Service for High Energy Physics” Framework and Related Cloud Native Solution
L Giommi, D Spiga, M Paladino… - … on Cloud Computing, 2025 - ieeexplore.ieee.org
Machine Learning (ML) techniques have been successfully used in many areas of High
Energy Physics (HEP) and will play a significant role in the success of upcoming High …
Energy Physics (HEP) and will play a significant role in the success of upcoming High …
Navigating the Clouds: An Exploratory Research of Cloud Computing Adoption in Saudi Arabia's Small and Medium Enterprises
N Alamri, S Alzahrani - Engineering, Technology & Applied Science …, 2024 - etasr.com
The adoption of cloud computing has become essential for SMEs, especially in the e-
commerce industry, as it has the potential to improve the efficiency of operations. However …
commerce industry, as it has the potential to improve the efficiency of operations. However …
Optimizing Shared Micro-Mobility Services: Edge-Enabled Rebalance for Dock-Based Systems
The user experience is an important aspect of micro-mobility fleet operations, and placing
micro-vehicles in a suitable and optimized manner is a key element to enhancing user …
micro-vehicles in a suitable and optimized manner is a key element to enhancing user …
Best Practices Implementing AIOps in Large Organizations
WC Potts, C Carver - 2024 International Conference on Smart …, 2024 - ieeexplore.ieee.org
This paper is a Qualitative Research Narrative Case study in which the researchers were
total participants, and federal contractors, focused on an essential but underrepresented …
total participants, and federal contractors, focused on an essential but underrepresented …
Evaluating Model Compression Techniques for On-Device Browser Sign Language Recognition Inference
M Salazar, D Bandara… - 2024 IEEE XXXI …, 2024 - ieeexplore.ieee.org
Due to the improvement of sign language (SL) recognition models, more work has started to
build upon them to create end-user platforms such as video-based dictionaries. Although …
build upon them to create end-user platforms such as video-based dictionaries. Although …
Англійська термінологія у сфері комп'ютерних наук: лінгвістичний та перекладацький аспекти
ОА Шовкопляс - 2024 - essuir.sumdu.edu.ua
Кваліфікаційна робота висвітлює лінгвістичні та перекладацькі аспекти англійської
комп'ютерної термінології та вивчає її роль у формуванні фахової компетенції …
комп'ютерної термінології та вивчає її роль у формуванні фахової компетенції …
Strengthening Security in Clouds Through Cloud Computing Authentication Using Facial Image Forensics
P Dahiwal, V Khare - Journal of Computational and …, 2022 - ojs.bonviewpress.com
Numerous cyber threats may succeed in cloud platforms owing to unproductive
authentication methods. Multiple credential authentication is a vital precautionary measure …
authentication methods. Multiple credential authentication is a vital precautionary measure …
[PDF][PDF] ПОБУДОВА МОДЕЛЕЙ НЕЙРОННИХ МЕРЕЖ У ХМАРНОМУ СЕРЕДОВИЩІ ЗАСОБАМИ AWS EMR
ЄО Кириченко, ОЛ Кириченко - ВЧЕНІ ЗАПИСКИ, 2024 - tech.vernadskyjournals.in.ua
Стаття присвячена детальному аналізу можливостей використання хмарної технології
AWS EMR (Amazon Web Services Elastic MapReduce) для побудови моделей нейронних …
AWS EMR (Amazon Web Services Elastic MapReduce) для побудови моделей нейронних …