Brain cancer classification is an important step that depends on the physician's knowledge
and experience. An automated tumor classification system is very essential to support …

This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

At present, the fusion of different unimodal biometrics has attracted increasing attention from
researchers, who are dedicated to the practical application of biometrics. In this paper, we …

Reducing energy loads while maintaining the degree of hotness and coldness plays an
essential role in designing energy-efficient buildings. Some previous methods have been …

Recently, sentiment analysis of social media contents is very important for opinion mining in
several applications and different fields. Arabic sentiment analysis is one of the more …

Nowadays, cloud computing has provided enterprises and users with several capabilities to
process and store their data in various cloud data centers. Storing and processing these …

Currently, the number of traffic accidents has been increased globally. One of the main
reasons for this increase is the distraction of the driver on the road. Distracted driving can …

Anomaly classification based on network traffic features is an important task to monitor and
detect network intrusion attacks. Network-based intrusion detection systems (NIDSs) using …

Palmprint has been found to possess distinct features for reliable person identification and
gender classification. Traditionally, the palmprint-based recognition approaches often rely …

The network intrusion detection system (NIDS) has become an essential tool for detecting
attacks in computer networks and protecting the critical information and systems. The …