Master Thesis Artificial Neural Network Projects

         Master Thesis Artificial Neural Network Projects give superlative star stadium to draw high challenge-able research work with the world-taking victory. We are began our spectacular service with the major goal of provide our best of best for students and research intellectuals who come from various departments (CSE, IT, EEE and ECE). Our best make scholars as an amazing expert in their prospective vocation. Would you have any questions about your research? You can leave your questions through mail.

List of High-Tech Artificial Neural Network Projects:

• A novel pattern classifier approach towards the performance optimization of Big Data analysis in distributed environment
• CFCLP-a novel Clustering Framework based on Combinatorial approach and Linear Programming in Wireless Sensor Network
• A Reliability-Aware Network Service Chain Provisioning with Delay Guarantees in NFV-Enabled Enterprise Datacenter Networks [Master Thesis Artificial Neural Network Projects]
• Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality
• Real-time scheduling of non-preemptive sporadic tasks on uniprocessor systems using Supervisory Control of timed DES
• Service offloading of computationally intensive processes using Hadoop image processing interface in private cloud
• Genetic algorithm based clustering approach for wireless sensor network to optimize routing techniques
• Output Predictor-Based Active Disturbance Rejection Control for a Wind Energy Conversion System with PMSG
• Automatic Fetal Head Circumference Measurement in Ultrasound using Random Forest and Fast Ellipse Fitting
• Performance- and energy-aware optimization of BEOL interconnect stack geometry in advanced technology nodes
• Assessment of semantic similarity between proteins using information content and topological properties of the Gene Ontology graph
• Coverage and Rate Analysis for Facilitating Machine-to-Machine Communication in LTE-A Networks using Device-to-Device Communication
• An Energy Efficient Cell Selection Framework for Femtocell Networks with Limited Backhaul Link Capacity
• An efficient and secure data storage in Mobile Cloud Computing through RSA and Hash function [Master Thesis Artificial Neural Network Projects]
• Efficient Data Gathering and Estimation for Metropolitan Air Quality Monitoring by Using Vehicular Sensor Networks