₹6,000Original price was: ₹6,000.₹4,500Current price is: ₹4,500.
A Detailed Investigation and Analysis of using Machine Learning Techniques for Intrusion Detection Abstract-Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches. However, they are not very successful in identifying all types of intrusions. In this…
DDoS Attack Detection using Machine Learning Techniques in Cloud Computing Environments Abstract-Cloud computing is a revolution in IT technology that provides scalable, virtualized on-demand resources to the end users with greater ?exibility, less maintenance and reduced infrastructure cost. These resources are supervised by different management organizations and provided over Internet using known networking protocols, standards…
Hybrid Self-Organized Clustering Scheme for Drone based Cognitive Internet of Things Abstract-Network management by using cognitive approach is an attractive solution for drone based Internet of thing (IoT) environment to provide many modern facilities to IoT users. In this paper, we try to minimize the networking related issues for drone based IoT by providing a…
Multi-Context Integrated Deep Neural Network Model for Next Location Prediction Abstract-The prediction of next location for users in location-based social networks has become an increasing significant requirement since it can benefit both users and business. However, existing methods lack an integrated analysis of sequence context, input contexts and user preferences in a unified way, and…
Network Intrusion Detection for IoT Security based on Learning Techniques Abstract-Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn cyberattack exposed the critical fault-lines among smart networks. Security of Internet of Things (IoT) has become a critical concern. The danger exposed by infested Internet-connected things not only affects the…
Prediction of Heart Disease Using Machine Learning Algorithms Abstract-Heart disease is the one of the most common disease. This disease is quite common now a days we used different attributes which can relate to this heart diseases well to find the better method to predict and we also used algorithms for prediction. Naive Bayes, algorithm…
Semi-supervised machine learning approach for DDoS detection Abstract-Even though advanced Machine Learning (ML) techniques have been adopted for DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML-based DDoS detection approaches are under two categories: supervised and unsupervised. Supervised ML approaches for DDoS detection rely on availability of labeled…
Stocks Market Prediction Using Support Vector Machine Abstract-A lot of studies provide strong evidence that traditional predictive regression models face significant challenges in out-of sample predictability tests due to model uncertainty and parameter instability. Recent studies introduce particular strategies that overcome these problems. Support Vector Machine (SVM) is a relatively new learning algorithm that has…
A Framework for Supervised Classification Performance Analysis with Information-Theoretic Methods Abstract-?We introduce a framework for the evaluation of multiclass classifiers by exploring their confusion matrices. Instead of using error-counting measures of performance, we concentrate in quantifying the information transfer from true to estimated labels using information-theoretic measures. First, the Entropy Triangle allows us to visualize…
Time Series Database Preprocessing for Data Mining Using Python Abstract-Database Preprocessing for Data Mining Using Python lays the groundwork for data mining. Before the discovery of useful information/knowledge, the target data set must be properly prepared. Using Data Mining in census data has very high learning value and vast marketplace space. While census data are…
₹6,500Original price was: ₹6,500.₹5,500Current price is: ₹5,500.
Weakly-Supervised Network for Detection of COVID-19 in Chest CT Scans Abstract-COVID-19 is a bacterial, viral, or fungal infection of one or both sides of the lungs that causes lung alveoli to fill up with fluid or pus, which is usually diagnosed with chest CT scan. This work investigates opportunities for applying machine learning solutions for…
