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Trends in Opto-electro & Optical Communication

toeoc | E-ISSN: 2231-0401 | Peer-Reviewed | Hybrid Open Access

About the Journal

Trends in Opto-electro & Optical Communication

Trends in Opto Electro & Optical Communication [2231-0401(e)] is a peer-reviewed hybrid open-access journal launched in 2011 focused on the rapid publication of fundamental research papers on all areas of Opto Electro & Optical Communication.

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Trends in Opto-electro & Optical Communication (TOEOC): 2231-0401(e) 
is a peer-reviewed hybrid open-access journal launched in 2011 focused on the rapid publication of

Journal Information

Title:
Trends in Opto-electro & Optical Communication
Abbreviation:
TOEOC
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2231-0401
Publisher:
116314
DOI:
10.37591/TOEOC
Starting Year:
2011
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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toeoc maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Anirudh Banerjee, Faculty & Programme Head

Amity University, Uttar Pradesh, India,

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Latest Articles

Design and Simulation of an Optical Fiber Communication System Using MATLAB

Optical fiber communication is widely used for high-capacity data transmission because of its large bandwidth, low attenuation, immunity to electromagnetic interference, and support for wavelength-division multiplexing.

Optical Fiber Communication, MATLAB, Attenuation, Chromatic Dispersion, Photodetection.

Hamiltonian Mathematical Modeling of Nonlinear Photonic Dynamics for Advanced Optical Communication Systems

With the rising requirement for high capacity, low latency and energy-efficient optical communication, the need for strict mathematical models of the nonlinear dynamics of photonic systems has grown.

Hamiltonian Dynamics; Nonlinear Photonics; Mathematical Modeling; Optical Communication; Phase-Space Analysis

Machine Learning Based Optical Fiber Fault Detection and Localization Using OTDR Signals

Optical fiber networks provide high bandwidth, low transmission loss, and immunity to electromagnetic interference, making them fundamental to modern communication infrastructure . 

OTDR, optical fiber, machine learning, fault detection, fault localization, random forest, SVM, ANN, XGBoost, optical communication

Machine Learning Based Optimization of Optical Fiber Parameters for Minimizing Dispersion and Attenuation

Optical fibers provide high-bandwidth and low-loss transmission for modern communication networks; however, attenuation and chromatic dispersion remain two important physical limitations affecting transmission distance, pulse integrity, and system capacity.

Optical fiber, machine learning, attenuation, chromatic dispersion, fiber optimization, XGBoost, artificial neural network, optical communication, 1550 nm, WDM

Thermal-Drift-Aware Adaptive Wavelength Stabilization Model for Silicon-Photonic Optical Communication Systems

The increasing integration density and operating speed of silicon-photonic communication devices have intensified the influence of thermo-optic effects on wavelength stability, resonance alignment, optical transmission, and communication reliability. 

Silicon photonics, thermo-optic effect, wavelength stabilization, microring resonator, optical communication

Spice Circuits for Optic Cellular Receiver Simulations

A circuit-theoretic approach to the generation of equivalent circuit models of optoelectronic and integrated photonic receiver applications is presented, especially optical cellular receiver systems.

Thevenin Equivalent Circuit; Optoelectronic Receivers; Integrated Photonics; SPICE Circuit Simulation; Optical Cellular Communication

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