Federated learning (FL) is a distributed approach to developing collaborative learning
models from decentralized data. This is relevant to many real applications, such as in the …

Reservoir computing is an efficient and flexible framework for decision-making, control, and
signal processing. It uses a network of interacting components varying from abstract …

With the increasing concern on soil pollution in context of land market reform, it's an
emerging topic to discuss whether soil pollution can cause land economic value …

Parkinson's disease (PD) is the second most common neurological disorder caused by
damage to dopaminergic neurons. Therefore, it is important to develop systems for early and …

The primary objective in building predictive analytics models is to achieve optimal accuracy
with real datasets. The limitations of existing models lie in their storage capacity, which …

In today's world, agricultural production and operation activities generate a lot of data. As a
result, computer-aided agriculture applications have become a hot topic in the study, with …

The essentiality of categorizing dry foods plays a crucial role in maintaining quality control
and ensuring food safety for human consumption. The effectiveness and precision of …

The sudden change in the interface between coal-rock mass can lead to the increased
abrasion of picks and the failure rate of mining machinery. The safe and efficient coal-rock …

The concept of “digital twin” has recently gained popularity due to its ability to create a virtual
representation of systems in order to improve the performance of its cyber-physical …

The farming industry widely requires automatic detection and analysis of rice diseases to
avoid wasting financial and other resources, reduce yield loss, improve processing …