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zamaex96/README.md
MS

MS

🏆 Reach out to collaborate.🥇

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About Me:

I have research expertise in the domains of Artificial Intelligence, Internet of Things, Underwater Wireless Sensor Network, Underwater Wireless Optical Communication, and RF Communication Component Design. I utilize various tools and simulation techniques to evaluate and develop communication modules, analyze their performance, and publish academic papers that undergo peer review process. I utilize a diverse range of sensor data acquired by undersea and atmospheric sensor nodes to train machine learning models in order to predicts different patterens or parameters.

Social media: 📡

Join me on Linkedin.

LinkedIn

Algorithms Repos

Working on: 🚀

Languages and Tools

Languages:

Python C Embedded C Matlab R Studio
Python C Embedded C Matlab R studio

Best frameworks and main libraries for Python:

Pytorch Selenium Numpy Pandas Sklearn OpenCV
Pytorch Selenium Numpy Pandas sklearn mpl

Platforms

Avr Studio Stm32 IDE Arduino PyCharm Raspberry Pi VS Code
Avr Studio Stm32 IDE Arduino PyCharm Raspberry Pi VS Code

My tools for Data Manipulation & Visualisation:

Conda Plotly Matpltlib
Conda pltly pltly

Tools:

DesignSpark Mechanical Ansys HFSS Multisim MS Office Proteus CISCO Packet Tracer Network Analyzer Antenna Radiation Pattern Analyzer 3D Printing
3d-printer Ansys multisim microsoft-office-2019 circuit cisco-packet-tracer external-oscilloscope-science-and-technology-icongeek26-linear-colour-icongeek26 cellular-network--v1 external-makerbot-industries-an-american-desktop-3d-printer-manufacturer-logo-duo-tal-revivo

OS:

Linux Ubuntu windows Pi OS Mac OS
Linux Ubuntu Windows Pi OS Mac OS

some more supplementary tools.:

TexWorks YAML PyCharm Gitlab Putty Terraterm Agilent Waveforms Photoshop
Latex yaml PC GitLab putty term external-waveform-audio-video-line-ayo-icons-royyan-wijaya adobe-photoshop--v1


reimaginedreadme

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  1. Diversity-Gain-VLC Diversity-Gain-VLC Public

    Implementation of diversity gain combining techniques such as equal gain combining (EGC), majority logic combining (MLC), and selection combining (SC) on stm32 platform.

    C

  2. ML-LSTM ML-LSTM Public

    Fundamental files to train and evaluate a simple LSTM model which can be trained on a time-series dataset composed of n input features and m outputs classes.

    Python

  3. Explainable-AI-XAI- Explainable-AI-XAI- Public

    This setup provides a basic integration of SHAP into your model training process, enabling you to gain insights into how different features affect the model's predictions. You can further customize…

    Python

  4. Train-MobileNet Train-MobileNet Public

    This code is a script for training an image classification model MobileNet using PyTorch. The code is structured to facilitate easy training, evaluation, and monitoring of a deep learning model for…

    Python

  5. Aqua-sense Aqua-sense Public

    The algorithm is designed for sensor data processing, employing various combining techniques for robust VLC communication.

    C

  6. BCH-VLC BCH-VLC Public

    The provided code is written in Embedded C and is designed for an AVR microcontroller (likely ATmega128A), focusing on implementing a BCH (31,16) error-correcting code for encoding and decoding mes…

    C