Multi-view learning is an emerging direction in machine learning which considers learning
with multiple views to improve the generalization performance. Multi-view learning is also …

Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …

Privacy-preserving transportation mode identification (TMI) is among the key challenges
toward future intelligent transportation systems. With recent developments in federated …

Multi-view classification is an essential issue in machine learning. Many multi-view
classification methods have been proposed by fusing complementary information of multiple …

Music courses in colleges and universities have undergone significant changes as the new
curriculum reform has proceeded. As a result, student evaluations in the classroom are …

Federated Learning (FL) collaboratively trains a model while preserving privacy and
providing intelligence. This makes it ideal for Consumer Electronics (CE) applications …

Decision tree is a well-known classifier which is widely used in real-world applications. It is
easy to interpret, however it suffers from instability and lower classification performance for …

Vegetables are rich in minerals, vitamins, and calcium. It benefits our body in many ways. To
know about the vegetable, firstly need to identify and their classification. The identification of …

This paper introduces a novel approach for feature set partitioning in multi-view ensemble
learning (MVEL) utilizing the minimum spanning tree clustering (MSTC) algorithm. The …

Decision tree is a widely used non-parametric technique in machine learning, data mining
and pattern recognition. It is simple to understand and interpret, however it faces challenges …