2016-17 Java Projects

1.Fortifying Networks: Intrusion Detection and Decoy Systems Driven by Machine Learning.

2.Detection of phising websites using machine learning approaches.

3.Using machine learning and software-defined networking to detect and mitigate DDos attack in fiber-optic networks.

4.Islamphobic hate speech detection from electronic media using deep learning.

5.Fetal health classification based on machine learning.

6.Drug recommendation system based on sentiment analysis of drug reviews using machine learning.

7.Opinion mining based fake product review monitoring and removal system.

8.A machine learning approach to predict Autism Spectrum disorder.

9.A Hybrid Feature Extraction Method with Regularized Extreme Learning Machine for Brain Tumour Classification.

10.A Machine Learning Based Approach for Detection of Alzheimer Disease Using Analysis of Hippocampus Region from MRI Scan.

11.Computer-Aided Segmentation of Liver Lesions in CT Scans Using Cascade Convolutional Neural Networks and Genetically Optimised Classifier.

12.Algorithm for the Detection of Breast Cancer in Digital Mammograms Using DeepLearning.

13.Analysis of Chronic Kidney Disease Dataset by Applying Machine Learning Methods.

14.Automated Vision-based Surveillance System to Detect Drowning Incidents in Swimming Pools.

15.A robotic system for environment monitoring system based on Iot and data analytics using machine learning algorithm.

16.Estimating the social distancing in real time using by using Euclidean distance.

17.Phishing Web Sites Features Classification Based on Extreme Learning Machine.Machine Learning for Web Vulnerability Detection: The Case of Cross-Site RequestForgery.

18.Crime analysis and prediction using data mining techniques.

19.A Deep Learning Approach for Face Detection using YOLO.

20.Traffic sign detection using machine learning algorithm.

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