Sensor networks collect data that is often contaminated by noise. Therefore, it is often
necessary to analyze sensor data to determine if a signal is present. This research project …

As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming
increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML …

The increasing use of IoHT devices in healthcare has brought about revolutionary
advancements, but it has also exposed some critical vulnerabilities, particularly in …

Breast cancer is still one of the most common cancers in women, and it is also the leading
cause of mortality among women. Breast cancer detection has been improved using a …

Automatic Essay Scoring (AES) is one of the significant and challenging research topics in
the Natural Language Processing (NLP) area. However, existing AES models majorly …

Background: Machine learning (ML) model composition is a popular technique to mitigate
shortcomings of a single ML model and to design more effective ML-enabled systems. While …

Artificial intelligence (AI) is designing new genesis around the globe and garnering great
attention from industries and academia. AI algorithms are indigenously intensely …

Breast cancer is the second most type of cancer diagnosed in women; it is also the leading
cause of cancer caused deaths in women after lung cancer. Breast lumps can be classified …

Abstract Machine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems
to adapt to their environment based on past experiences. Machine Learning (ML) and …

This comprehensive study addresses the correlation between water levels and
meteorological features, including air temperature, evaporation, and precipitation, to …