Effects of e-learning technologies on university librarians and libraries: a systematic literature review

K Shahzad, SA Khan - The Electronic Library, 2023 - emerald.com
Purpose The purpose of this study was to identify the effects of emerging technologies in e-
learning on university librarians and libraries. The study also intended to identify emerging …

An efficient forecasting approach for resource utilization in cloud data center using CNN-LSTM model

S Ouhame, Y Hadi, A Ullah - Neural Computing and Applications, 2021 - Springer
Cloud computing provides different kind of services for users and provides with the help of
internet. The Infrastructure as a service is a service model that provides virtual computing …

IoT based virtual E-learning system for sustainable development of smart cities

R Setiawan, MMV Devadass, R Rajan… - Journal of Grid …, 2022 - Springer
Globally, cities are emerging into Smart Cities (SC) as a result of sustainable cities and the
adaption of recent Internet of Things (IoT) technology. It is becoming essential to involve …

Morphology & word sense disambiguation embedded multimodal neural machine translation system between Sanskrit and Malayalam

C Rahul, T Arathi, LS Panicker… - … Signal Processing and …, 2023 - Elsevier
Abstract Machine translation is the process of conversion from one language to another
using computers. In spite of the existence of several traditional machine translation systems …

[Retracted] Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis

X Fan - Complexity, 2021 - Wiley Online Library
With the development of the mobile Internet of Things, people have higher and higher
requirements for services, and how to provide high‐quality services that meet the needs of …

Deep learning based optical network transmission application in Chinese English translation system in cloud computing environment

Y Mai, X Yuan - Optical and Quantum Electronics, 2024 - Springer
At present, human translation is characterized by low efficiency, high cost, high consumption
of resources and time, so it is urgent to study automatic translation technology to meet the …

Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural Network

M Salb, A Elsadai, L Jovanovic, M Zivkovic… - … Conference on IoT …, 2023 - Springer
Cloud services play an increasingly significant role in daily life. The widespread integration
of the Internet of Things, and online services has increased demand for stable and reliable …

Study on machine English translation error identification based on naive Bayesian algorithm

Z Yao - … Journal of Reasoning-based Intelligent Systems, 2023 - inderscienceonline.com
In order to improve the effect and accuracy of machine English translation error identification
and shorten the time of machine English translation error identification, a machine English …

[PDF][PDF] A study on deep learning-based multivariate resource estimation with feature selection in cloud computing

NM Dang-Quang, M Yoo - 한국통신학회 …, 2021 - journal-home.s3.ap-northeast-2 …
Resource provisioning in cloud computing environment depends on different future resource
utilization. Because the resource utilization trend may vary dynamically, we need to estimate …

Research on interactive system of Chinese-English translation model in cloud computing environment based on deep learning

Y Mai, X Yuan - 2023 - researchsquare.com
At present, human translation is characterized by low efficiency, high cost, high consumption
of resources and time, so it is urgent to study automatic translation technology to meet the …