A NOVEL LIGHTWEIGHT MACHINE LEARNING FRAMEWORK FOR IOT MALWARE CLASSIFICATION BASED ON MATRIX BLOCK MEAN DOWNSAMPLING

A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling

In recent years, the number of smart objects connected through the Internet of Things (IoT) has increased significantly.These smart objects are susceptible to cybersecurity threats and are easily affected by IoT malware.Malwares, if not detected, can harm different components of the IoT: smart objects, communication network, and the applications, l

read more


State-of-the-art review on various mathematical approaches towards solving population balanced equations in pharmaceutical crystallization process

Crystallization is an important process, which possesses an undeniable role in many chemical industries.In recent years, significant endeavors have been made to increase the efficiency of this process via designing novel crystallizers.Development of numerical models and their efficient solutions is known as an important approach to justify the beha

read more