Abstract Machine learning are vulnerable to the threats. The Intruders can utilize the
malicious nature of the nodes to attack the training dataset to worsen the process and …

e-Learning is a sought-after option for learners during pandemic situations. In e-Learning
platforms, there are many courses available, and the user needs to select the best option for …

Abstract Recently, applying Software-Defined Networking (SDN) in automotive industry has
sparked a lot of interest due to its capacity to ensure focused organization across the board …

Recently, the tourism trend has been shifting towards the Tourism 2.0 paradigm due to
increased travel experiences and the increase in acquiring and sharing information through …

The rapid advancement of computation techniques and cloud computing has led to
substantial advancements in Cyber-Physical Systems (CPS), particularly in the field of …

In the current COVID-19 pandemic era, Learning Management Systems (LMS) are
commonly used in e-learning for various learning activities in Higher Education. Learning …

The healthcare sector has been revolutionized by Blockchain and AI technologies. Artificial
intelligence uses algorithms, recommender systems, decision-making abilities, and big data …

Determination of the type of sugar present in a beverage is one of the key parameter in
assessing their nutritious values. This article presents a novel technique of hexose …

With the recent growth in food-delivery applications, creating new recommendation systems
tailored to this platform is essential. State-of-the-art restaurant recommendation systems are …

Intuitive context-aware algorithms called" Next Basket recommender systems" improve
consumers' decision-making by offering suggestions for potential products they might like to …