Over the past years, the assisted reproductive technologies (ARTs) have been accompanied by constant innovations. For instance, intracytoplasmic sperm injection (ICSI), time-lapse …
A Thakkar, R Lohiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The goal of securing a network is to protect the information flowing through the network and to ensure the security of intellectual as well as sensitive data for the underlying application …
Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern technology, educational data increases sharply. It is difficult for educational researchers to …
A supply chain performance prediction system aims to estimate lagging metrics based on leading metrics so as to predict performance based on causal relationships. Two studies in …
P Ziolkowski, M Niedostatkiewicz - Materials, 2019 - mdpi.com
Concrete mix design is a complex and multistage process in which we try to find the best composition of ingredients to create good performing concrete. In contemporary literature, as …
An enhanced design for a solar still desalination system which has been proposed in the previously conducted study of the research team is considered here, and the experimental …
J Singh, R Banerjee - 2019 3rd International Conference on …, 2019 - ieeexplore.ieee.org
Perceptron is the most basic model among the various artificial neural nets, has historically impacted and initiated the research in the field of artificial nets, with intrinsic learning …
T Chen, YC Wang - The International Journal of Advanced Manufacturing …, 2022 - Springer
Recently, many methods based on artificial neural networks (ANNs) or deep neural networks (DNNs) have been proposed to accurately predict the cycle time of a job. However …
Y Supriya, TR Gadekallu - ACM Journal of Data and Information Quality, 2023 - dl.acm.org
Federated Learning is a distributed, privacy-preserving machine learning model that is gaining more attention these days. Federated Learning has a vast number of applications in …