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Sakthivel Ramachandran

As seen in: PLOS ONE, MDPI
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Articles by Sakthivel Ramachandran

Low-power artificial neuron networks with enhanced synaptic functionality using dual transistor and dual memristor

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By Keerthi Nalliboyina, Sakthivel Ramachandran
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Nalliboyina K, Ramachandran S (2025) Low-power artificial neuron networks with enhanced synaptic functionality using dual transistor and dual memristor. PLoS ONE 20(1): e0318009. https://doi.org/10.1371/journal.pone.0318009 Editor: Jun Ma, Lanzhou University of Technology, CHINA Received: July 11, 2024; Accepted: January 7, 2025; Published: January 27, 2025 Copyright: © 2025 Nalliboyina, Ramachandran.
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An Intelligent Waste Management Application Using IoT and a Genetic Algorithm–Fuzzy Inference System

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By Sumaiya Thaseen Ikram, Vanitha Mohanraj, Sakthivel Ramachandran, Anbarasu Balakrishnan
| MDPI
Abstract : The Internet of Things (IoT) is being used to create new applications for smart cities. Waste management is one issue that requires various IoT components for assistance, such as RFIDs and sensors. An efficient and innovative waste collection system is required to minimize investment, operational, and expenditure costs. In this paper, the novel idea is to develop an intelligent waste management model for smart cities using a hybrid genetic algorithm (GA)–fuzzy inference engine.
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