International Journal of Electrical and Electronics Research (IJEER)

FP-IJEER is an open access peer-reviewed journal devoted to publishing cutting-edge research which provides an international forum for the dissemination of the latest original research, achievements and developments in all areas of electrical and electronic engineering.

International Journal of Electrical and Electronics Research (IJEER) is a Scopus indexed open access, peer reviwed journal which publishes original research papers, review papers, short communications, technical notes, case reports, book reviews and conference reports. Electrical and Electronic systems is the branch of engineering and technology dealing with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes and integrated circuits, and associated passive interconnection technologies. The scope of journal encompasses Electrical engineering, Wireless communication systems, Biosensors & actuators, Non-linear microscopy & ultrafast spectroscopy, Microelectronics & nanoelectronics, Computational electromagnetics, Power electronics and Electric drives, Network theory, Protection devices, Electrical machines and many more.

Under the norms of open access, the contents of the Journal of Electrical & Electronics Research can be transmitted and shared through the online medium to facilitate quick dissemination of research. The journal reports about the latest findings in the domain in the form of articles submitted by research authors. A comprehensive peer review process ensures the published articles are in line with open access publishing standards and comprised of genuine research article or case reports. The respective tracking system helps editors and reviewers through the handling process.

It is an online manuscript submission, review systems. Review processing is performed by the editorial board members of Journal of Electrical & Electronics Research (IJEER) or outside experts; at least two independent reviewers approval followed by editor approval is required for acceptance of any citable manuscript. Authors may submit manuscripts and track their progress through the system, hopefully to publication. Reviewers can download manuscripts and submit their opinions to the editor. Editors can manage the whole submission/review/revise/publish process.

Submit your manuscript to the Editorial Office at editor_ijeer@forexjournal.co.in

Facial Expression Analysis and Estimation Based on Facial Salient Points and Action Unit (AUs)

Shashank M Gowda, H N Suresh

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A New Hybrid Approach for Efficient Emotion Recognition using Deep Learning

Mayur Rahul, Namita Tiwari, Rati Shukla, Devvrat Tyagi and Vikash Yadav

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LoRa enabled Real-time Monitoring of Workers in Building Construction Site

G S Arun Kumar, Rajesh Singh, Anita Gehlot and Shaik Vaseem Akram

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Call for research papers - IJEER

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  • FOREX Press is very high efficient in publishing the papers within one month only. It is easier and faster for people to communicate their researches. It takes only about two weeks for us to get the feedbacks of the reviewers’ results. It is the fastest magazine in publishing the papers. Please attract more and more people to submit their high quality manuscripts to you.

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  • I am a member of Editorial Board of FOREX Press journal, which is in FPJ-structure. I believe it is full corresponds with my nice relation to FOREX Press. I published four my paper in this Group and hope to follow this way in the future. I wish for IJEER the best future!

    Dr. Vitaly Ovchinnikov Ph.D.

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Special issues on

In recent years, the intersection of artificial intelligence (AI) with electrical and electronics engineering has ushered in a new era of innovation and transformative solutions. This special issue seeks to delve into the rich landscape of AI applications within the realm of electrical and electronics engineering, aiming to explore and showcase the myriad ways in which AI is revolutionizing traditional practices and shaping the future of the field

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The Emerging trends in PID controller design within the realm of Electrical and Electronics Engineering (EEE) underscore a shift towards advanced methodologies that enhance performance, adaptability, and efficiency across diverse applications. Traditional Proportional-Integral-Derivative (PID) controllers have long been the cornerstone of control systems, offering simplicity and effectiveness. However, with the advent of new technologies and the growing complexity of modern systems, several trends have surfaced, reshaping PID controller design. One prominent trend is the integration of machine learning techniques into PID control. Machine learning algorithms, particularly neural networks, enable controllers to adaptively learn system dynamics and optimize control parameters in real-time, offering superior performance in complex and nonlinear systems.

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