A survey on machine learning in Internet of Things: Algorithms, strategies, and applications

S Messaoud, A Bradai, SHR Bukhari, PTA Quang… - Internet of Things, 2020 - Elsevier
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …

[HTML][HTML] AI-enabled intelligent visible light communications: Challenges, progress, and future

J Shi, W Niu, Y Ha, Z Xu, Z Li, S Yu, N Chi - Photonics, 2022 - mdpi.com
Photonics | Free Full-Text | AI-Enabled Intelligent Visible Light Communications: Challenges,
Progress, and Future Next Article in Journal Performance Enhancement of DWDM Optical Fiber …

Recognition and detection of tea leaf's diseases using support vector machine

S Hossain, RM Mou, MM Hasan… - 2018 IEEE 14th …, 2018 - ieeexplore.ieee.org
Tea is a popular beverage all around the world, and in Bangladesh the cultivation of tea
plays a vital role. Many diseases affect the proper growth of tea leaves leading to its …

[图书][B] Machine learning and deep learning in real-time applications

M Mahrishi, KK Hiran, G Meena, P Sharma - 2020 - books.google.com
Artificial intelligence and its various components are rapidly engulfing almost every
professional industry. Specific features of AI that have proven to be vital solutions to …

Automatic determination of digital modulation types with different noises using convolutional neural network based on time–frequency information

N Daldal, Z Cömert, K Polat - Applied Soft Computing, 2020 - Elsevier
In this study, a novel digital modulation classification model has been proposed for
automatically recognizing six different modulation types including amplitude shift keying …

Key technologies for high-speed Si-substrate LED based visible light communication

W Niu, Z Xu, Y Liu, X Lin, J Cai, J Shi… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
Nowadays, the demand for high-speed information transmission is increasing rapidly.
Visible light communication (VLC) based on light-emitting diodes (LEDs) is supposed as a …

[HTML][HTML] Deep learning-based signal detection for underwater acoustic otfs communication

Y Zhang, S Zhang, B Wang, Y Liu, W Bai… - Journal of Marine …, 2022 - mdpi.com
Orthogonal time frequency space (OTFS) is a novel two-dimensional (2D) modulation
technique that provides reliable communications over time-and frequency-selective …

Direct symbol decoding using GA-SVM in chaotic baseband wireless communication system

HP Yin, HP Ren - Journal of the Franklin Institute, 2021 - Elsevier
To retrieve the information from the serious distorted received signal is the key challenge of
communication signal processing. The chaotic baseband communication promises …

A survey on machine learning for optical communication [machine learning view]

MA Amirabadi - arXiv preprint arXiv:1909.05148, 2019 - arxiv.org
Machine Learning (ML) for Optical Communication (OC) is certainly a hot topic emerged
recently and will continue to raise interest at least for the next few years. The rate of research …

Integrated machine learning techniques for preserving privacy in Internet of Things (IoT) systems

S Kakandwar, B Bhushan, A Kumar - … solutions for the security of Iot-based …, 2023 - Elsevier
The advances in human-driven entities has resulted in a huge amount of smart
technologies, such as smart healthcare, smart offices, smart classrooms, and various others …