Data Mining-Python
Network Intrusion Detection for IoT Security based on Learning Techniques
Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn cyberattack e..
A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Auto encoders
Time-series forecasting is applied to many areas of smart factories, including machine health monit..
A Machine Learning Approach To Predict Thyroid Disease At Early Stages Of Diagnosis
Classification based Machine learning plays a major role in various medical services. In medical fi..
A New method for flow based network intrusion detection using the inverse Potts model
Network Intrusion Detection Systems (NIDS) play an important role as tools for identifying potentia..
Academic and Demographic Cluster Analysis of Engineering Student Success
Contribution: This article uses student semester grade point average (GPA) as a measure of student ..
An Efficient Deep Learning Framework For Intelligent Energy Management In Iot Networks
Green energy management is an economical solution for better energy usage, but the employed literat..
An Efficient Spam Detection Technique for IoT Devices using Machine Learning
The Internet of Things (IoT) is a group of millions of devices having sensors and actuators linked ..
An Empirical Evaluation of Machine Learning Techniques for Chronic Kidney Disease Prophecy
Chronic Kidney Disease (CKD) implies that the human kidneys are harmed and unable to blood filter i..
An Evaluation Of Gas Consumption Prediction On Ethereum Based On Transaction History Summarization
The author uses data about transactions on Ethereum as sources for studying the relationship betwee..
Analyse The Fake Product Review
With the continuous evolve of E-commerce systems, online reviews are mainly considered as a crucial..
Application Of Machine Learning To Construction Injury Prediction
The needs to ground construction safety-related decisions under uncertainty on knowledge extracted f..
Boosting-based DDoS Detection in Internet of Things Systems
Distributed denial of service (DDoS) attacks remain challenging to mitigate in existing systems, in..
Can Online Consumer Reviews Signal Restaurant Closure A Deep Learning-Based Time-Series Analysis
Business closure is a critical stage in the lifecycle of any business. Despite a body of literature..
Cardio vascular disease using machine learning
Cardio Vascular Disease (CVD) is, for the most part, alluding to conditions that include limited or..
Consumer Behaviour Analytics using Machine Learning Algorithms
User-generated content in the form of reviews, ratings, and comments can be analyzed for greater in..