Abstract Dimensionality reduction or Feature Selection (FS) is a multi-target optimization
problem with two goals: improving the classification efficiency while simultaneously …

Recently, a number of classification techniques have been introduced. However, processing
large dataset in a reasonable time has become a major challenge. This made classification …

With the increasing popularity of electric vehicles, cable-driven serial manipulators have
been applied in auto-charging processes for electric vehicles. To ensure the safety of the …

The main purpose of this research paper is to understand how artificial intelligence and
machine learning applied to human behaviour has been treated, both theoretically and …

Influenced by national policies and macro-economic environment, large domestic
enterprises is actively promoting strategic transformation to enhance their core …

Our recently developed synchronized low-energy electronically chopped passive infrared
(SLEEPIR) sensor node enables the stationary occupancy detection capability of traditional …

This chapter explores into an integrated approach aimed at enhancing Network Intrusion
Detection Systems (NIDS) by amalgamating the K-nearest neighbors (KNN) algorithm …

Accurate occupancy detection remains a challenging problem due to dynamic occupancy
patterns and varying environments. Traditional machine learning (ML) struggles with this …

The stratospheric polar vortex is a cyclonic circulation that forms over the winter pole, whose
edge is characterized by a strong westerly jet (also called polar night jet, PNJ). The PNJ …

Emotions and personality traits profoundly influence human behavior and well-being.
Recent advancements in computer-based tools utilizing machine learning techniques have …