The rapid evolution of digital threats is a major hurdle to the security of vital infrastructure, driving the need for advanced cybersecurity methods like those based on the use of new technologies. This research seeks to assess the use of neural networks in cybersecurity and especially the role of...

The global healthcare systems have faced unprecedented challenges due to the COVID-19 pandemic, necessitating innovative neural computing solutions to inform critical decision-making. In this study, we introduce a neural-inspired machine learning framework to predict COVID-19 mortality risk, utilizi...

The Internet of Vehicles (IoVs) is an emerging technology that enhances transportation systems by enabling interactions between vehicles, infrastructure, and other entities. Securing IoV networks from cyber threats like eavesdropping, data tampering, and intrusions is a major challenge. This researc...

This paper introduces ViTDroid, a novel hybrid model that combines Vision Transformers (ViTs) and recurrent neural networks (RNNs) to enhance Android and IoT malware detection. ViTDroid addresses critical challenges by leveraging ViTs to capture global spatial dependencies and RNNs (LSTM and GRU) to...

This study investigates the impact of three precipitation methods—ammonium sulfate (40%), acetone, and acetone with trichloroacetic acid (TCA)—on the yield and activity of protease extracted from Averrhoa carambola (starfruit) at different maturity stages (unripe, semi-ripe, and ripe). Response surf...

Currently, a considerable amount of people are sending messages on social networks such as Twitter, Amazon and Facebook. These media is colossal with data and information. Bearing in mind the need for these social media platforms to extract the appropriate negative or positive emotions from users an...

Inverse PCR (IPCR) is a reliable, straightforward, and effective technique for acquiring unknown sequences. In this study, we used the model monocot Brachypodium distachyon (ecotype Bd21) to standardize the conditions and materials necessary for the successful execution of IPCR. The analysis of the...

Sea ice detection is of vital importance for maritime navigation. Satellite imagery is a crucial medium for conveying information about sea ice. Currently, most sea ice detection models mainly rely on texture information to identify sea ice in satellite imagery, while ignoring sea ice size informati...

With the growing global population and the challenges of environmental change, genomics has a crucial role to play in improving agricultural yield and sustainability. This article reviews the application of genomics in crop, animal husbandry, fishery and forestry in the past five years. In crop prod...

Acrylamide, a toxic compound with potential carcinogenic effects, is commonly formed in carbohydrate-rich foods through the Maillard reaction between reducing sugars and amino acids during high-temperature cooking processes. This study reviews the sources of acrylamide in food, its health risks, and...