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Development of a Smart Water Management System Using IoT – Complete Phd and Masters Thesis

Development of a Smart Water Management System Using IoT – Complete Phd and Masters Thesis

[ad_1] Introduction Water is a vital resource for human survival and economic development. However, the unsustainable use and management of water resources have led to issues such as water scarcity, pollution, and inefficient water distribution…

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Development of a Smart Agriculture System Using IoT – Complete Phd and Masters Thesis

Development of a Smart Agriculture System Using IoT – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the application of Internet of Things (IoT) technology in various sectors, including agriculture. The use of IoT in agriculture, known as Smart Agriculture,…

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Development of a Blockchain-Based Voting System – Complete Phd and Masters Thesis

Development of a Blockchain-Based Voting System – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, blockchain technology has gained significant attention due to its potential applications in various industries. One such application is in the field of voting systems, where blockchain can be utilized to…

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Swarm intelligence for resource allocation – Complete Phd and Masters Thesis

Swarm intelligence for resource allocation – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, swarm intelligence has become a popular method for solving complex optimization problems in various fields. Swarm intelligence is a collective behavior of decentralized, self-organized systems, where simple agents interact locally…

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Natural language understanding for emotion recognition – Complete Phd and Masters Thesis

Natural language understanding for emotion recognition – Complete Phd and Masters Thesis

[ad_1] Introduction: Natural language understanding (NLU) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. Emotion recognition, on the other hand, is the process of identifying human emotions…

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Edge computing for smart grids – Complete Phd and Masters Thesis

Edge computing for smart grids – Complete Phd and Masters Thesis

[ad_1] Introduction Chapter 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…

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Explainable AI for educational assessment – Complete Phd and Masters Thesis

Explainable AI for educational assessment – Complete Phd and Masters Thesis

[ad_1] Introduction: Artificial Intelligence (AI) has become an integral part of various industries, including education. AI has been used for educational assessment to improve the assessment process by providing personalized and adaptive learning experiences for…

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Natural language processing for cross-lingual information retrieval – Complete Phd and Masters Thesis

Natural language processing for cross-lingual information retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interactions between computers and humans using natural language. In recent years, NLP has gained significant attention in the field…

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Neuromorphic computing for speech recognition – Complete Phd and Masters Thesis

Neuromorphic computing for speech recognition – Complete Phd and Masters Thesis

[ad_1] Introduction: Neuromorphic computing is a rapidly growing field that seeks to emulate the functionality of the human brain in artificial systems. This approach to computing has the potential to revolutionize speech recognition technology by…

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Reinforcement learning for network optimization – Complete Phd and Masters Thesis

Reinforcement learning for network optimization – Complete Phd and Masters Thesis

[ad_1] Introduction With the rapid expansion and complexity of modern computer networks, the need for efficient network optimization techniques has become increasingly important. Traditionally, network optimization has been carried out using mathematical optimization techniques which…

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