MACHINE LEARNING / DEEP LEARNING BTech Project in Visakhapatnam, Chennai, Bengaluru final year projects

Exploration of Machine Learning Techniques in Emulating a Coupled Atmosphere Radiative Transfer Model for Multi-Parameter Estimation From

Project Title: Exploration of Machine Learning Techniques in Emulating a Coupled Atmosphere Radiative Transfer Model for Multi-Parameter Estimation Project Overview: This project aims to develop and evaluate various machine learning…

Estimating Summertime Precipitation and Global Forecast System

Project Title: Estimating Summertime Precipitation and Global Forecast System Project Overview: The “Estimating Summertime Precipitation and Global Forecast System” project aims to enhance the understanding and prediction of summertime precipitation…

EFFICIENT ENUMERATION OF URLS OF ACTIVE HIDDEN SERVERS OVER ANONYMOUS CHANNEL (TOR)

Project Title: Efficient Enumeration of URLs of Active Hidden Servers over Anonymous Channel (TOR) #Project Description: The proliferation of the Tor network as a vital tool for preserving privacy online…

Motion quantification and automated correction in clinical RSOM

Project Description: Motion Quantification and Automated Correction in Clinical RSOM Project Title: Motion Quantification and Automated Correction in Clinical Reflection Mode Optical Microscopy (RSOM) Background: Reflection Mode Optical Microscopy (RSOM)…

ISMAEL Using Machine Learning To Predict Acceptance of Virtual Clusters in Data Centers

Project Description: ISMAEL - Using Machine Learning to Predict Acceptance of Virtual Clusters in Data Centers #Project Overview ISMAEL (Intelligent System for Machine Analysis of Virtual Clusters) is an innovative…

Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images

Project Title: Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images Project Description: Introduction Remote sensing technology plays a critical role in monitoring and…

Power Management for Multicore Processors via Heterogeneous Voltage Regulation and Machine Learning Enabled Adaptation

Project Description: Power Management for Multicore Processors via Heterogeneous Voltage Regulation and Machine Learning Enabled Adaptation #1. Introduction As the demand for high-performance computing continues to rise, multicore processors have…

Analysis of Security of Split Manufacturing Using Machine Learning

Project Title: Analysis of Security of Split Manufacturing Using Machine Learning Project Overview: In an increasingly interconnected world, the security of manufacturing processes has become paramount. Split manufacturing, an innovative…

The search for BaTiO3 based piezoelectrics with large piezoelectric coefficient using machine learning

Project Title: The Search for BaTiO3-Based Piezoelectrics with Large Piezoelectric Coefficients Using Machine Learning #Project Overview This project aims to leverage machine learning techniques to accelerate the discovery and optimization…

Machine Learning Inspired Codeword Selection for Dual Connectivity in 5G User centric Ultra dense Networks

Project Title: Machine Learning Inspired Codeword Selection for Dual Connectivity in 5G User-Centric Ultra-Dense Networks Project Description #Introduction As the demand for higher data rates and low-latency connectivity continues to…

Machine Learning Based Handovers for Sub 6 GHz and mmWave Integrated Vehicular Networks

Project Title: Machine Learning Based Handovers for Sub 6 GHz and mmWave Integrated Vehicular Networks #Project Overview: The rapid advancement of vehicular technology and the increasing demand for reliable, high-speed…

DCDE An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition

Project Description: DCDE - An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition #Introduction Gene expression is a vital process in biology where specific genes are activated to…

Self Optimizing and Self-Programming Computing Systems A Combined Compiler, Complex Networks, and Machine Learning Approach

# Project Description: Self-Optimizing and Self-Programming Computing Systems Introduction In the realm of computer science and engineering, the concept of self-optimizing and self-programming computing systems represents a significant leap towards…

The What If Tool Interactive Probing of Machine Learning Models

Project Title: The What If Tool: Interactive Probing of Machine Learning Models Project Description: In the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML), understanding the behavior…

Towards On Demand Virtual Physical Therapist Machine Learning Based Patient Action Understanding, Assessment and Task Recommendation

Project Title: Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment, and Task Recommendation Project Description: In an era marked by rapid advancements in health technology and an…

Sentinel 2A Image Fusion Using a Machine Learning Approach

Project Title: Sentinel 2A Image Fusion Using a Machine Learning Approach #Project Overview The Sentinel-2 mission, part of the European Space Agency's Copernicus Programme, provides high-resolution optical images for land…

Active Machine Learning Approach for Crater Detection From Planetary Imagery and Digital Elevation Models

Project Title: Active Machine Learning Approach for Crater Detection from Planetary Imagery and Digital Elevation Models Project Description: 1. Introduction: The exploration of planetary bodies has become increasingly relevant with…

Scene Classification With Recurrent Attention of VHR Remote Sensing Images

Project Description: Scene Classification with Recurrent Attention of Very High Resolution (VHR) Remote Sensing Images #Overview The increasing availability of Very High Resolution (VHR) remote sensing images has revolutionized various…

Actuator Placement for Enhanced Grid Dynamic Performance: A Machine Learning Approach

Project Description: Actuator Placement for Enhanced Grid Dynamic Performance: A Machine Learning Approach Introduction In modern power grids, the need for optimized performance is paramount due to the increasing complexity…

Comparison of radiomics models built through machine learning in a multicentric context with independent testing: identical data, similar algorithms, different

Project Title: Comparative Analysis of Radiomics Models Built Through Machine Learning in a Multicentric Context with Independent Testing #Project Overview The objective of this project is to conduct a comprehensive…