How to Call Python from MATLAB

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Power Electrical Developing Advanced Research (PEDAR) Group

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What level of education are you studying?
anonymous poll

3- Ph.D or higher – 235
👍👍👍👍👍👍👍 60%

2- MSc – 121
👍👍👍👍 31%

1- Bsc – 35
👍 9%

👥 391 people voted so far.

22 people have published more than 200 papers in 2024 (so far, we still have another six months to go)

We have been doing some research on another project and saw something that we found interesting. We'd be interested to know what you think.

In 2024, 22 authors (according to @Scopus
) have published over 200 papers. The table below shows the details (we decided not to show author names at this time).

The author who has published the most papers has authored 261 papers (as at 15 Jun 2024) meaning that he/she has published 1.56 papers every day this year (and counting).

If we exclude weekends (everybody has to rest, right?), then they have published 2.18 papers every day.

Serious question: Is it possible for anybody to contribute in a meaningful way (at least to warrant being at author) when they are publishing a paper every day?
Source: https://lnkd.in/d_czxF-T

I believe none of these 22 individuals can simulate their own articles, nor can they create a basic program to even print their own names.☺️😉

Sincerely 🙏
Zareian Jahromi

How to Seek Assistance for MATLAB Programming Using AI (ChatGPT)



Power Electrical Developing Advanced Research (PEDAR) Group

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🔺June 23rd is "International Women In Engineering Day"

🔹 A day to encourage young girls and women to enter the engineering profession.

🔹 It is also a day to recognize and appreciate all women engineers worldwide, and this year, one of the goals is "Investing in women's skills in engineering to accelerate progress."

Congratulations to all the esteemed women engineers in the PowerMatlab family.



Power Electrical Developing Advanced Research (PEDAR) Group
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Project Number (3110):
How to Utilize ChatGPT for Simulating Your Target Model

Example #1 : PSO Algorithm

Example #2 : FlyBack Converter



YouTube link : https://youtu.be/ebGHaakOupU

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Power Electrical Developing Advanced Research (PEDAR) Group

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👇👇

I Think Neural Networks Be like :

" I know someone who knows someone"

just for fun☺️

Sincerely Zareian Jahromi

Project Number (3111):
Free Download of MATLAB Simulation File for Noninvasive Online Condition Monitoring of Output Capacitor’s ESR and C for a Flyback Converter


YouTube link : https://youtu.be/9cTYRPTKcXw

Instagram ID : https://www.instagram.com/power_matlab?r=nametag





Power Electrical Developing Advanced Research (PEDAR) Group

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👇👇

Exploring the Diverse Types of Neural Networks in AI 🤖

In the rapidly evolving field of artificial intelligence, understanding the different types of neural networks is crucial. Each type offers unique capabilities and applications. Let's delve into the various kinds of neural networks:

Perceptron 🧠

The perceptron is the simplest form of a neural network, consisting of a single neuron. It is primarily used for binary classification tasks, distinguishing between two distinct classes.
Feed-Forward Networks (FFNs) ➡️

Feed-forward networks are structured so that data flows in a single direction—from input to output. These networks are foundational in machine learning, useful for tasks such as prediction and classification.
Multi-Layer Perceptron (MLP) 🎛

Multi-layer perceptrons extend the concept of the perceptron by incorporating one or more hidden layers between the input and output layers. This architecture allows MLPs to capture complex patterns and interactions within the data.
Radial Basis Function Networks (RBFNs) 🎯

RBF networks utilize radial basis functions as activation functions. They are particularly effective for classification and regression problems, leveraging the properties of these functions to model complex relationships.
Convolutional Neural Networks (CNNs) 🖼

Convolutional neural networks are designed for processing visual data. By applying convolutional layers, CNNs can automatically and adaptively learn spatial hierarchies of features from input images, making them indispensable for image and video recognition tasks.
Recurrent Neural Networks (RNNs) 🔄

Recurrent neural networks are adept at handling sequential data due to their inherent structure, which allows them to maintain a 'memory' of previous inputs. This makes RNNs suitable for tasks such as time series forecasting, language modeling, and speech recognition.
Long Short-Term Memory Networks (LSTMs) ⏳

LSTMs are a specialized type of RNN designed to address the vanishing gradient problem. They excel at learning long-term dependencies, making them ideal for applications requiring the retention of information over extended periods, such as complex sequence prediction and natural language processing.

Power Electrical Developing Advanced Research (PEDAR) Group

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Why is solar energy important?

🌏 The Earth has infinite solar energy ☀️!
In this fascinating video, Richard Kemp explains simply and clearly how solar panels convert sunlight into electricity.

Advantages of using solar panels include:

📌Reducing energy costs
📌Reducing air pollution
📌Providing clean and unlimited energy
Watch the video to find out how solar energy can transform our future.

Power Electrical Developing Advanced Research (PEDAR) Group

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Project Number (3112): Free download of Matlab Simulation file for Hybrid AC/DC microgrid test system simulation: grid connected and Island Modes

Free training Video : 👇👇

YouTube link : https://youtu.be/XxCoB_Zi3ug

Instagram ID : https://www.instagram.com/power_matlab?r=nametag





Power Electrical Developing Advanced Research (PEDAR) Group

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Preventing step voltage in case of power cable breakage

Power Electrical Developing Advanced Research (PEDAR) Group

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Dear Colleagues,

We are thrilled to announce that a Special Issue noscriptd "AI-Based Modelling and Control of Power Systems" is now open for submissions.

This Special Issue is proudly supported by the Power Electrical Developing Advanced Research (PEDAR) Group and is hosted by the journal Processes (ISSN 2227-9717). This issue belongs to the "Energy Systems" section of the journal.


👉More details and submission entrance: https://www.mdpi.com/journal/processes/special_issues/N06O7BQX80

👉 Guest Editors:
Dr Mohammad Reza Maghami
Assoc. Prof. Javad Rahebi
Dr. Mehdi Zareian Jahromi


📆 Deadline for manunoscript submissions: 03 March 2025.


Power Electrical Developing Advanced Research (PEDAR) Group

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🔊 PowerMatlab is excited to showcase the incredible opportunities of Deep Learning. This cutting-edge technology has the potential to revolutionize various fields, including sports performance, industrial maintenance, machine translation, speech recognition, and many more.

🌟 A Smarter and More Efficient Future with Deep Learning 🌟

Deep Learning is rapidly evolving, providing numerous opportunities for innovation and enhanced performance across multiple domains. Notably, it has applications in:

Self-driving cars
Investment portfolio management
Image recognition for the visually impaired
Healthcare diagnosis
Join us as we leverage this advanced technology to make the world a better place.

📧 For more information and collaboration, contact us at:
info@powermatlab.com
electricalmatlab@gmail.com

🌐 Website: www.powermatlab.com

🔬🚀🤖🌍💡

#DeepLearning #AI #ArtificialIntelligence #MachineLearning

Project Number (3113): Free download of Matlab Simulation file for Transition of Hybrid AC/DC Microgrid Between Grid Connected Mode and Islanding Mode during the Operation

Free training Video : 👇👇

YouTube link : https://youtu.be/liEeO85KHDs

Instagram ID : https://www.instagram.com/power_matlab?r=nametag





Power Electrical Developing Advanced Research (PEDAR) Group

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@powermatlab