Machine learning‐based secure data acquisition for fake accounts detection in future mobile communication networks

B Prabhu Kavin, S Karki, S Hemalatha… - Wireless …, 2022 - Wiley Online Library
Social media websites are becoming more prevalent on the Internet. Sites, such as Twitter,
Facebook, and Instagram, spend significantly more of their time on users online. People in …

[PDF][PDF] IOT based smart wastewater treatment model for industry 4.0 using artificial intelligence

DN Singh, C Murugamani… - Scientific …, 2022 - pdfs.semanticscholar.org
Wastewater is created by pharma firms and has become a huge worry for the ecosystem. ere
is a significant amount of toxins that are being dropped continuously from numerous …

[PDF][PDF] Study on Fuzzy ELECTRE Method with Various Methodologies

S Chinnasamy, M Ramachandran… - REST Journal on …, 2022 - researchgate.net
The purpose of this thesis is to develop a MCDM system based on a deletion and selective
translation reality (ELECTRE) Assessment information is expressed and manipulated by the …

[PDF][PDF] Green Supply Chain Management; with Dematel MCDM Analysis

MR Kurinjimalar Ramu, M Nathiya… - Recent trends in …, 2022 - academia.edu
Demodel Causation between the components of a system and the result is a type Useful for
analysis Structural model approach relationships. Vague dematal, Green supply chain …

[PDF][PDF] A novel probabilistic-PSO based learning algorithm for optimization of neural networks for benchmark problems

S Akojwar, P Kshirsagar - WSEAS Transactions on Electronics, 2016 - wseas.com
This paper approbates a modern and stentorian version of standard particle swarm
optimization (PSO) for optimization of initial weights and biases for multi layer feed forward …

[PDF][PDF] An internet of things for data security in cloud using artificial intelligence

S Kavitha, A Bora, M Naved, KB Raj… - International Journal of …, 2021 - researchgate.net
Cloud computing (CC) offers online access to Network Services, in specific data collection
and processing capability, with advanced, transparent user management. CC has become a …

[PDF][PDF] Novel hybrid artificial intelligence based algorithm to determine the effects of air pollution on human electroencephalogram signals

MA Berlin, N Upadhayaya, A Alghatani… - Journal of …, 2021 - researchgate.net
NOVEL HYBRID ARTIFICIAL INTELLIGENCE-BASED ALGORITHM TO DETERMINE THE
EFFECTS OF AIR POLLUTION ON HUMAN ELECTROENCEPHALOGRAM SIG Page 1 1825 …

Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model

PR Kshirsagar, K Upreti, VS Kushwah… - Signal, Image and Video …, 2024 - Springer
Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is
being developed. Emulating these tangible traits has recently gained popularity. Ceramic …

Prediction of neurological disorders using optimized neural network

PR Kshirsagar, SG Akojwar - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
In the earth there is distressing number of people who suffer from neurological disorders.
Electroencephalogram EEG signal are chaotic time series signals and tends to change …

Deep convolutional neural network with sine cosine algorithm based wastewater treatment systems

A Muniappan, V Tirth, H Almujibah, AH Alshahri… - Environmental …, 2023 - Elsevier
Wastewater treatment systems are essential in today's business to meet the ever-increasing
requirements of environmental regulations while also limiting the environmental impact of …