Forecasting hydropower generation by GFDL‐CM3 climate model and hybrid hydrological‐Elman neural network model based on Improved Sparrow Search …

H Wang, X Wu, F Gholinia - Concurrency and Computation …, 2021 - Wiley Online Library
One of the most sensitive factors affecting hydropower generation is climate change. The
objective of this study is to forecast the hydropower generation under the influence of climate …

[PDF][PDF] Monitoring diabetes occurrence probability using classification technique with a UI

JR Thota, M Kothuru, A Shanmuk Srinivas… - Int J Sci Technol …, 2020 - academia.edu
Diabetes mellitus is responsible for not only high health-care costs, but has also become a
major cause of death prevailing over the past few decades, accounting for about 2, 23,000 …

Multi-Agent Reinforcement Learning for Dynamic Topology Optimization of Mesh Wireless Networks

W Sun, Q Lv, Y Xiao, Z Liu, Q Tang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In Mesh Wireless Networks (MWNs), the network coverage is extended by connecting
Access Points (APs) in a mesh topology, where transmitting frames by multi-hop routing has …

[PDF][PDF] Customer Churn Prediction in Telecom Industry Using Data Mining Techniques

AK Singh, AD Ture, AJ Shaikh… - The Journal of …, 2024 - jcse.cloud
Customer churn prediction is essential for telecom companies to retain customers and
minimize revenue loss. This study applies three machine learning techniques—Logistic …

[PDF][PDF] Enhancing Prediction Accuracy in Healthcare Data Using Advanced Data Mining Techniques

DM Bairagade, K Sharma, PR More - The Journal of …, 2024 - researchgate.net
This paper explores the application of advanced data mining techniques to enhance
prediction accuracy in healthcare data. Utilizing a hypothetical dataset of patient records, we …

RETRACTED ARTICLE: Prediction of energy demand by socio-economic and climatic indicators using ANN optimised by developed search and rescue (DSAR) …

M Chen, X Wang, S Zhao, H Wang… - International Journal of …, 2022 - Taylor & Francis
We, the Editors and Publisher of the International Journal of Ambient Energy, have retracted
the following article: Mei Chen, Xiaoyan Wang, Shufang Zhao, Hong Wang & Nicholas …

[PDF][PDF] Climate-Smart Agriculture Using Cloud-Based Solutions

DV Kishore, SN Pai, Y Kumar - The Journal of Computational Science …, 2024 - jcse.cloud
This research explores the application of cloud-based solutions to climate-smart agriculture,
emphasizing how cloud computing can assist farmers in adapting to climate change …

Design and implementation of an optimal N-edge connected networks for IOT based random mesh

VVR Kollu, SS Amiripalli… - International Journal of …, 2021 - ingentaconnect.com
Introduction: In IOT, very few problems were solved by using optimal n-edge connected
networks; however, this is the first attempt to increase the performance of IOT by optimal n …

[PDF][PDF] A NOVEL IMPLEMENTATION OF PEDESTRAIN DETECTION USING HOGD AND SVM ALGORITHMS

RK Raju, V Lakshmi - The Journal of Computational Science and … - jcse.cloud
ABSTRACT (9 PT) Human detection in real time is an extensive, hard and essential area of
research. It offers a wide variety of human recognition and video surveillance applications …

[PDF][PDF] Application of big data analytics and pattern recognition aggregated with random forest for detecting fraudulent credit card transactions (CCFD-BPRRF)

BJ Jaidhan, BD Madhuri, K Pushpa… - Int J Recent Technol …, 2019 - researchgate.net
People today tend to make multiple transactions every day. It has been observed that
around 150 million transactions are being carried out every 24 hours. There are several …