Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

Melanoma Classification using Deep Learning Architectures and Transfer Learning

M Jain, M Jain, M Faizan… - … Conference on Industrial …, 2021 - ieeexplore.ieee.org
Abnormal growth of skin cells, especially Melanoma, one of the most serious types of skin
cancer, is caused by melanin-producing cells (melanocytes). Melanoma can also form in the …

Traffic signs recognition using CNN

A Kapoor, N Nehra, D Deshwal - … International Conference on …, 2021 - ieeexplore.ieee.org
Convolutional Neural Networks (CNN) are already being used to perform an increasing
number of object identification challenges. Most of the existing and new computer vision …

Spectroscopy and Machine Learning: Revolutionizing Soil Quality Monitoring for Sustainable Resource Management

R Ellur, MA Anathakumar, H Vimalashree… - … Monitoring, Planning and …, 2024 - Springer
Soil, a complex blend of organic and inorganic elements, exhibits significant variability
across locations and even within a single field. Accurate and efficient estimation of soil …

Malware Detection in Network Flows With Self-Supervised Deep Learning

TA Woolman, P Lunsford - … of Data Science and Machine Learning, 2023 - igi-global.com
This article explores the application of anomaly detection models from network flow data
using multi-layer perceptron autoencoding neural networks, for the purpose of self …

Effect of Gender Variability in Speaker Recognition

N Nehra, P Sangwan, N Trivedi - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Nowadays, because of the speech recognition system, there is much interaction between
humans and machines. The gender identification system is utilised in a wide range of …

Analysis of SIW filter with less dielectric substrate

V Tomar - … Conference on Industrial Electronics Research and …, 2021 - ieeexplore.ieee.org
The presence of dielectric limits the performance in the designing of devices like a filter,
especially at high frequencies. With the aim of solving this problem, a new designing …

Knowledge Representation Using Probabilistic Model and Reconstruction-Based Algorithms

S Dambhare, S Kumar, S Katiyar - Prediction and Analysis for …, 2022 - taylorfrancis.com
Representation learning is a prominent area in the machine learning due to the underlying
fact that the performance of machine learning methods is dependent on a surmount extent …

Tunnelling FETs, the Non-conventional Transistors: Basics

D Sheoran, VR Shokeen, P Sangwan… - … 2022: Proceedings of …, 2023 - books.google.com
The tunnel field-effect transistor (TFET) exploits the band to band tunneling (BTBT)
phenomenon for carrier injection and this helps to lower the subthreshold swing< …

Predicting Standings in F1 Sports Driver's Championship using Lasso Penalised Regression

R Rana, D Pandey, S Mishra, N Nehra… - 2021 International …, 2021 - ieeexplore.ieee.org
F1 has always consisted of intense battles of newly developed technologies between teams.
Each year, all 10 teams in F1 develop new strategies and cutting-edge technologies to stay …