Blazingprojects Mobile App

Object detection for localization and classification – Complete Phd and Masters Thesis

[ad_1] Introduction Object detection for localization and classification is a crucial task in the field of computer vision and machine learning. It involves the identification and precise location of objects within an image or video,…

Gesture recognition for human-computer interaction – Complete Phd and Masters Thesis

[ad_1] Introduction: Gesture recognition is a technology that allows a computer to interpret human gestures as commands for controlling devices or interacting with software applications. It has gained popularity as a natural and intuitive way…

Video summarization for highlight extraction – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the explosion of online video content has created a need for automated methods of video summarization for highlight extraction. Video summarization involves condensing the content of a video into a…

Image captioning for visual description generation – Complete Phd and Masters Thesis

[ad_1] Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9 Definition of…

Recurrent neural network language models for sequence prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Recurrent neural networks (RNNs) have gained significant attention in recent years for their ability to model sequential data and make predictions based on this data. In particular, recurrent neural network language models have…

Convolutional deep belief networks for spatial data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the development and application of deep learning techniques for the analysis of spatial data. Convolutional Deep Belief Networks (CDBNs) have emerged as a…

Deep belief networks for hierarchical representation – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep belief networks (DBNs) have gained significant attention in the field of artificial intelligence and machine learning due to their ability to learn hierarchical representations of data. These networks are…

Restricted Boltzmann machines for unsupervised feature learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Restricted Boltzmann Machines (RBMs) have gained popularity in recent years as a powerful tool for unsupervised feature learning in machine learning. RBMs are a type of artificial neural network that can learn a…

Long short-term memory networks for long-term dependencies – Complete Phd and Masters Thesis

[ad_1] Introduction Long short-term memory (LSTM) networks are a type of recurrent neural network (RNN) that have been specifically designed to address the issue of capturing long-term dependencies in sequential data. Traditional RNNs suffer from…

Convolutional neural networks for spatial data – Complete Phd and Masters Thesis

[ad_1] Introduction Convolutional neural networks (CNNs) have gained significant attention in recent years due to their exceptional performance in various domains, including computer vision, natural language processing, and speech recognition. CNNs are particularly well-suited for…

Tag: 5 year master’s program computer science