The measurement of electrical activity in the brain, known as Electroencephalogram (EEG),
is a common non-invasive diagnostic method used to detect neurological disorders and …

Brain signals have recently been proposed as a strong biometric due to their characteristics
such as, uniqueness, permanence, universality, and confidentiality. There are many factors …

Confusion emotion in a learning environment can motivate the learner, but prolonged
confusion hinders the learning process. Recognizing confused learners is possible; …

This study presents a detailed analysis of coding standards in the context of university-level
programming courses. Focusing on the challenges faced by students in understanding and …

The ability to accurately estimate crop numbers for various varieties of vegetables makes
crop classification an essential component of agriculture. In order to meet the anticipated …

This study investigates the potential use of Natural Language Processing (NLP) techniques
to analyze coding standards violations within the context of an introductory programming …

Electroencephalogram (EEG) signals for emotion classification have gained significant
attention in recent times due to its implicit applications in varied fields, including human …

The state of confusion while learning can reduce the performance of students in their
studies. Monitoring the engagement of students in online courses is a tedious job. This …

Brain fog, characterized by confusion, lack of attention, and mental clarity, is one of the main
reasons that lead to the downgrading of performance in the learning process. In recent …

Mobile Ad Hoc Networks are known to be dynamic in nature and have no rigid or reliable
network infrastructure by their very definition. They are expected to be self-governed and …