AI Strategy for Stake Cloud Computing and Edge Computing: A State of the art survey

MR Aishwarya, G Mathivanan - 2021 5th International …, 2021 - ieeexplore.ieee.org
In recent years, the growth of smart and intelligent products has been limitless. As a result,
numerous new applications, such as smart homes, smart cities, virtual reality, augmented …

Real time speech recognition based on PWP thresholding and MFCC using SVM

W Helali, Ζ Hajaiej, A Cherif - Engineering, Technology & Applied Science …, 2020 - etasr.com
The real-time performance of Automatic Speech Recognition (ASR) is a big challenge and
needs high computing capability and exhaustive memory consumption. Getting a robust …

Implementation of a Hybrid Technique for the Predictive Control of the Residential Heating Ventilation and Air Conditioning Systems

M Ray, P Samal, CK Panigrahi - Engineering, Technology & Applied …, 2022 - etasr.com
Since daily energy needs are increasing, it is imperative to find ways to save energy, such
as improving the energy consumption of buildings. Heating Ventilating and Air-Conditioning …

An improved nonlinear correlation method for feature selection of complex data

D Shang, A Li, P Shang - Nonlinear Dynamics, 2023 - Springer
In this paper, the affine-invariant Gini distance correlation/covariance is put forward to
characterize the dependence between categorical and numerical variables more effectively …

A check on who protocol implementation for COVID-19 using IoT

A Sharma, J Dhingra, P Dawar - Internet of Things and Its Applications, 2022 - Springer
The lockdowns imposed by the governments worldwide is proving to be one of the most
taxing repercussion of COVID 19 pandemic. One of the efficacious precautionary methods …

A ternary neural network with compressed quantized weight matrix for low power embedded systems

SN Truong - Engineering, Technology & Applied Science Research, 2022 - etasr.com
In this paper, we propose a method of transforming a real-valued matrix to a ternary matrix
with controllable sparsity. The sparsity of quantized weight matrices can be controlled by …

[PDF][PDF] AN INTEGRATED ARTIFICIAL NEURAL NETWORK PROTOTYPE ENABLING REAL-TIME OBJECT DETECTION USING RASPBERRY PI

BH Ugalde - Turkish Journal of Physiotherapy and Rehabilitation - academia.edu
The signed synaptic weights are represented using a ternary neural network with
complementary binary arrays. To recognize voice and images, the suggested ternary neural …