Abstract: Autonomous program code generation by machine learning is not only an ultimate goal but also a theoretical challenge to software science and engineering. A methodology and case study for ...

Materials of the paper F. Wilhelmi, S. Szott, K. Kosek-Szott and B. Bellalta, "Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 Networks ...

Prepared by: Lalit Pandurang Patil, PhD scholar, Plant Pathology, Indian Agricultural Research Institute New Delhi Learning MATLAB from Scratch: A Beginner’s Guide for Zero Coders MATLAB is ...

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

Cardiovascular diseases (CVDs) are a leading cause of death worldwide, with hypertension emerging as a significant risk factor. Early detection and treatment of hypertension can significantly reduce ...

Plastic deformation of crystalline materials is a problem of many length-scales. From the atomic level of dislocation core to the meso-scale collective dislocation dynamics, and ultimately to the ...

TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models. This project aims to predict the survival ...

Hello everyone, We are excited to announce that we will be organizing a MATLAB Tutorial focusing on AI/ML, Communication Systems, and SDR Prototyping at Seminar Hall, JC Bose BLOCK, IIT Ropar on 7th ...

Topology optimization by optimally distributing materials in a given domain requires non-gradient optimizers to solve highly complicated problems. However, with hundreds of design variables or more ...

Abstract: The use of FPGA has brought a new dimension to classroom activities. One can configure a system-on-chip (SoC) to boot Linux or use it as platform to launch Simulink logic models. At ...