Convolutional neural networks (CNNs) have excelled in artificial intelligence, particularly in
image-related tasks such as classification and object recognition. However, manually …

The aging population in China is increasing the prevalence of degenerative diseases such
as knee osteoarthritis (KOA), which significantly impacts the elderly's quality of life …

In this paper, a multi-strategy fusion enhanced Honey Badger algorithm (EHBA) is proposed
to address the problem of easy convergence to local optima and difficulty in achieving fast …

Advancements in lab-scale catalysts for alkaline water electrolysers (AWE) show promise for
industrial application, yet their integration faces challenges due to the complex interplay of …

In recent years, the application of Data-Driven Models (DDMs) in ecological studies has
garnered significant attention due to their capacity to accurately simulate complex …

Computational intelligence (CI) techniques have developed very fast over the past two
decades, with many new methods emerging. Novel machine learning techniques, such as …

Autonomous vehicles have a number of open challenges, one of which is decision-making
regarding motion, particularly while operating in an environment that is both complex and …

Deep Learning and Enhanced Emissions Modeling and Deposition Prediction JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …

As deep artificial neural networks (ANNs) get bigger, deeper, and used in more challenging
applications, the need for non-gradient based training methods becomes more desirable …

Crop Yield Estimation Using Spiking Neural Networks Through Spatiotemporal Analysis of
Image Time Series JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions …