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International Journal of Optical Innovations & Research

| Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Optical Innovations & Research International Journal of Optical Innovations & Research(IJOIR): is a peer-reviewed hybrid open-access journal launched in 2011 that creates awareness in the field of physics, specifically in the field of optical science and technology. Journal publishes major advancements in the field of astronomical, nonlinear, biometric optics, and other related issues. Journal is also devoted to ensuring the publication of original research papers and review articles. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas of its scope and research being done in the world, thus ensuring its scientific priority and significance.

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Journal Information

Title: International Journal of Optical Innovations & Research
Abbreviation: ijoir
Issues Per Year: 2 Issues
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJOIR
Starting Year: 2023
Subject: Optical Innovations
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ijoir 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. Vivekanand Mishra, Professor

Alliance University, Karnataka,Bengaluru, India, 562106

Email :

Institutional Profile Link:

Journal: International Journal of Optical Innovations & Research

Latest Articles

Ahead of Print

A Study on Optical Stethoscope

The traditional stethoscope, a staple in medical diagnosis, has remained relatively unchanged since its inception. However, with the advent of cutting-edge technologies, a revolutionary Optical Stethoscope design has emerged, poised to transform the field of medicine.

Optical, Stethoscope, Photonics, Signal processing, Medical, Light source

Design and Performance Analysis of Silicon Photonic Waveguides for High-Speed Optical Communication

The exponential growth of data traffic in data centers and high-performance computing systems necessitates a paradigm shift from conventional electrical interconnects to high- speed, low-power on-chip optical interconnects.

Silicon Photonics, Optical Waveguides, Rib Waveguide, Propagation Loss, Group Velocity Dispersion (GVD), Optical Interconnects, High-Speed Communication, CMOS Photonics.

Driver Drowsiness Detection System

One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion.

Driver Drowsiness Detection, Non-Invasive Monitoring, Eye Aspect Ratio (EAR), Computer Vision, OpenCV and Dlib Libraries.

EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING

Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery.

Electroencephalogram (EEG), SEED-V dataset, Human-Computer Interactions HCI, Convolutional Neural Networks CNNs, Fear, Disgust, Precision

A Study of Optical Sensor in Clinical applications

The escalating demand for precise, real-time, and minimally invasive diagnostic and monitoring tools in clinical practice has propelled the development of sophisticated sensor technologies.

Optical Sensor, light, Clinical Applications, Patient care, Pulse Oximeter,

Facial Emotion Detection and Its Applications

Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions.

Facial emotion detection, deep learning, computer vision, human-computer interaction, affective computing