Interpreting NMR spectra to accurately predict molecular structures remains a significant challenge in chemistry due to the complexity of spectral data and the need for precise structural elucidation. This study introduces NMRGen, a generative modeling framework that predicts molecular structures fr...

To find an approach that combines standardization and personalization, the course resources and teaching modes are explored by generative artificial intelligence. By researching and summarizing the problems and solutions in the course teaching process, it is proposed to set up an assessment way base...

The inaugural issue of the Journal of Blockchain Technology (JBT) marks a significant milestone in fostering innovation and advancing the academic discourse in blockchain technology. This editorial underscores the transformative impact of blockchain across industries such as finance, healthcare, sup...

Welcome to the inaugural issue of the ICCK Journal of Neural Computing and Applications. As we embark on this exciting journey, we are thrilled to introduce a new platform dedicated to advancing the field of neural computing and its practical applications. This journal represents a collaborative eff...

The ICCK Transactions on Swarm and Evolutionary Learning (TSEL) is a new journal focused on nature-inspired computation. This journal is launched at a time when swarm and evolutionary algorithms have impacted different areas of research. Their progress is not only theoretical but also applications i...

In the therapy of Coronavirus, the drug target is a demanding task to find novel medicine. A bunch of pharmaceutics procedures are employed to recognize these mutual actions. But they are exhausting and high-priced. Keeping this in view, computational procedures are widely approached to determine th...

This inaugural editorial of the International Journal of Intelligent Signal Processing (IJISP) highlights the integration of artificial intelligence (AI), machine learning (ML), and traditional signal processing, transforming fields such as biomedical diagnostics, cybersecurity, autonomous systems,...

It is with great enthusiasm that we introduce the Journal of E-Government and Public Services, a dedicated platform for advancing knowledge and fostering dialogue in the dynamic field of e-government. As digital transformation continues to reshape governance and public service delivery, there is an...

With the increasing global focus on renewable energy and the growing proportion of renewable power in the energy mix, accurate forecasting of renewable power demand has become crucial. This study addresses this challenge by proposing a multimodal information fusion approach that integrates time seri...

Malaria remains a significant global health challenge, causing hundreds of thousands of deaths annually, particularly in tropical and subtropical regions. This study proposes an advanced automated approach for malaria detection by classifying red blood cell images using machine learning and deep lea...