Sanitizing data for analysis: Designing systems for data understanding
As organizations accumulate vast amounts of data for analysis, a significant challenge
remains in fully understanding these datasets to extract accurate information and generate …
remains in fully understanding these datasets to extract accurate information and generate …
[HTML][HTML] High-performance Edwards curve aggregate signature (HECAS) for nonrepudiation in IoT-based applications built on the blockchain ecosystem
G Jayabalasamy, S Koppu - Journal of King Saud University-Computer and …, 2022 - Elsevier
Abstract “Blockchain” is a buzzword that has captured attention from researchers in almost
every possible domain. In a blockchain ecosystem, multiple parties across the network have …
every possible domain. In a blockchain ecosystem, multiple parties across the network have …
Run-to-failure relay dataset for predictive maintenance research with machine learning
F Winkel, J Deuse-Kleinsteuber… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Predictive maintenance (PdM) offers enormous potential for improvement, both
economically and ecologically. The extended use of components can improve sustainability …
economically and ecologically. The extended use of components can improve sustainability …
An Optimized Edward-elgamal Extreme Performance Signature Scheme Oedecas in Iot and Blockchain
R Anusha, R Saravanan - 2023 - researchsquare.com
Digital signatures (DS) are the modern-day guardians of authenticity and security in the
digital realm. Even though the goal has stayed the same, the scope of its suitability and the …
digital realm. Even though the goal has stayed the same, the scope of its suitability and the …
A survey on proactive customer care: Enabling science and steps to realize it
In recent times, advances in artificial intelligence (AI) and IoT have enabled seamless and
viable maintenance of appliances in home and building environments. Several studies have …
viable maintenance of appliances in home and building environments. Several studies have …
An Analysis of the Elevator Failure Prediction System with BigDL Time Series Forecasting Models
M Rajagopal, AK Jayaraman - 2024 15th International …, 2024 - ieeexplore.ieee.org
Predictive maintenance represents a revolutionary approach in industrial operations, aiming
to predict failures before they occur, thus ensuring continuity and efficiency. Elevator …
to predict failures before they occur, thus ensuring continuity and efficiency. Elevator …
Implementing Deep Learning Model to Predict the Maintenance of an Elevator System
G Verma, J Awatramani… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
In this world, where everything is becoming automated, humans have also got used to this
fast-paced life. One of the machines that we widely use in our day-to-day lives are elevators …
fast-paced life. One of the machines that we widely use in our day-to-day lives are elevators …
Importance of Edge Computing in Critical Manufacturing Systems: FPGA Implementation
T Ercan - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Academic and industrial studies on smart systems, which have entered all areas of our lives,
continue to their rapid developments along with gaining momentum with Industry 4.0 …
continue to their rapid developments along with gaining momentum with Industry 4.0 …