Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks

P Ajay, B Nagaraj, R Huang - Journal of Control Science and …, 2022 - search.proquest.com
Existing communication networks have inherent limitations in translation theory and adapt to
address the complexity of repairing new remote applications at the highest possible level …

Underwater object detection and temporal signal detection in turbid water using 3D-integral imaging and deep learning

R Joshi, K Usmani, G Krishnan, F Blackmon… - Optics …, 2024 - opg.optica.org
Underwater scattering caused by suspended particles in the water severely degrades signal
detection performance and poses significant challenges to the problem of object detection …

Reinforcement learning based on routing with infrastructure nodes for data dissemination in vehicular networks (RRIN)

A Lolai, X Wang, A Hawbani, FA Dharejo, T Qureshi… - Wireless …, 2022 - Springer
Abstract Vehicular-Ad hoc Networks are extremely important due to the potential for
improving road safety, traffic monitoring, and in-vehicle infotainment services. A novel Q …

Optical signal detection in turbid water using multidimensional integral imaging with deep learning

G Krishnan, R Joshi, T O'Connor, B Javidi - Optics Express, 2021 - opg.optica.org
Optical signal detection in turbid and occluded environments is a challenging task due to the
light scattering and beam attenuation inside the medium. Three-dimensional (3D) integral …

Performance analysis of feature selection algorithms in the classification of dry beans using KNN and neural networks

MV Subbarao, JTS Sindhu… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Post-harvest industrial operations are crucial to the preservation of the economic value of an
agriculture product. For dry bean separation and classification to be more efficient, new …

Machine learning enabled dynamic spectrum access for 6G wireless networks

S Iyer - Journal of Applied Security Research, 2024 - Taylor & Francis
In this article, a 6G scenario is considered which allows sharing of spectrum between links
which have spectrum license (6G license access), and which are unlicensed (Wi-Fi). A …

Deep Learning‐Based Scheduling Scheme for IEEE 802.15. 4e TSCH Network

MNM Haque, YD Lee, I Koo - Wireless Communications and …, 2022 - Wiley Online Library
IEEE 802.15. 4e time‐slotted channel hopping (TSCH) is one of the most reliable resources
of the Industrial Internet of Things (IIoT). TSCH operates on the slot‐frame structure …

Analysis of user pairing non-orthogonal multiple access network using deep Q-network algorithm for defense applications

S Ravi, GR Kulkarni, S Ray… - The Journal of …, 2023 - journals.sagepub.com
Non-orthogonal multiple access (NOMA) networks play an important role in defense
communication scenarios. Deep learning (DL)-based solutions are being considered as …

Hybrid Kriging and multilayer perceptron neural network technique for coverage prediction in cellular networks

N Mezhoud, M Oussalah, A Zaatri… - International Journal of …, 2020 - Taylor & Francis
Coverage prediction is a crucial issue in wireless network planning and design. Typically,
coverage prediction techniques start by model identification given a set of measurements at …

Self-controlling photonic-on-chip networks with deep reinforcement learning

N Do, D Truong, D Nguyen, M Hoai, C Pham - Scientific reports, 2021 - nature.com
We present a novel photonic chip design for high bandwidth four-degree optical switches
that support high-dimensional switching mechanisms with low insertion loss and low …