Friday, 25 March 2022
MATLAB Software Free download with License
Saturday, 8 January 2022
IOT enabled Plant leaf disease detection to make the farming smarter
LUNG TUMOR DETECTION USING FPGA
https://youtu.be/I990D6sZruc
Thursday, 23 September 2021
Cross modal emotion Embedding model for Emotion analysis AI
- Python,
- Kiros,
- CrowdEmotion and measuring tool such as
- SAM,
- emoji model etc.
Wednesday, 18 August 2021
Prediction of Unknown room data using Virtual sensors modeling through Machine learning | Python projects in chennai
- Room A and B data is considered as the Physical data and Training data for the Machine Learning Model
- Create a Time Series NARX model or any other Time Series regression Algorithm using Machine Learning ToolBox (Python or MATLAB)
- At the end of the prediction state , The time State t+1 determine the Room C data (Which is unknown)
- Each sensors are tuned like this and Predicted with t+1, 2t+1, 3t+1,4t+1 etc.....
- Accumulated results at the time series data act as the Virtual Data and the Entire analysis Set up act as the Virtual Sensor
Tuesday, 27 July 2021
FPGA for Machine learning Applications
FPGA for Machine learning Applications
The merging growth in information handling technology that enables
the developers to understand the activity, evaluate the pattern and detect the
anomalies using Machine Learning algorithms in almost all industries. We need
high speed processing platforms at the other end to handle these data generated
features and ensemble various other platforms too.
The FPGA are High speed, configurable platforms that can adopt the fast twisted operation speeds within the single integrated SOC. Many semiconductor manufacturing industries are focused on developing the artificial intelligence AI sensors that stacked inside the SOC modules itself to help the ML developers utilize such IP cores for real time predictions.
These companies also incorporate references, design protocols, neural network IP cores, Software development tools and customized design services within the single SOC platforms. These FPGAs are high in performance, low power(starting from 1mW to 1W), flexible architecture and 5.5.mm package available [1] (ref. Lattice semiconductor)
The integrated FPGA accelerators helpful in developing lots of Smart applications enabled with machine learning frameworks. Where the data is larger, the device could take over the processing capability using the in-built accelerators. These devices are nowadays hardware adoptable and software adoptable too. evaluation of Tensor flow modules for training are accessed with the integrated environment itself.
Write to us for your machine learning based Research works qmostech@gmail.com
#qmostechnologies
#vlsiprojectsinchennai
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Links: vlsiprojectsinchennai, #machinelearningprojectsinchennai
References
[1] https://www.latticesemi.com/en/Solutions/Solutions/SolutionsDetails02/sensAI
Wednesday, 21 October 2020
Ph.D. Research Ideas using Machine Learning
Wednesday, 7 October 2020
How to write a Journal paper 5 STEPS !!!
Wednesday, 30 September 2020
How to install Modelsim Software and How to download Modelsim Free software
Contact us for for any kind of VLSI needs.
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