This paper aims to propose a robust hybrid probabilistic learning approach that combines
appropriately the advantages of both the generative and discriminative models for the …

Automated guided vehicles (AGVs) have become prevalent over the last decade. However,
numerous challenges remain, including path planning, security, and the capacity to operate …

The Water distribution networks (WDN) experience substantial water loss due to leakage in
pipelines caused by pipe aging or pipe bursts. The Machine Learning (ML) and Deep …

Breast cancer is a worldwide health issue affecting women, and research is primarily done
in medical images for early diagnosis and detection. The problem statement is to train model …

Early diagnosis of melanoma is important for patient care, but dermatologists are struggling
to keep up with the increasing demand for skin disease care. Computer-aided diagnostic …

An evaluation of teaching quality is a decision making of teaching value of teachers and
learning of the students, becomes the significant role of teaching management and …

In recent years strong vocabulary extraction is essential for learning English since it
improves linguistic ability. However, vocabulary extraction is often a challenging process …

With the rapid development of computer technology, people's demand for information
processing continues to increase. In terms of howto better store and manage data with …

UAVs have the advantages of efficient and automated inspection in life, and have important
application value in industry, construction, energy and other fields. In this paper, an …

The English Grammatical error correction has been considered as an application closely
related to daily life and essential communication using in perfectly. However, English …