"Many cinnamon growers are unaware of diseases affecting their crops, leading to significant yield losses. Leaf chlorosis and rough bark disease are particularly problematic, often mistaken for natural aging or overlooked ...

"Monitoring theihealth of the foetusithroughout pregnancy requires beingiable to detect movements of the foetus. However, sinceiit can be difficult to analyseisensor dataiand differentiate between signals from the surroundings ...

"Anthurium, a plant of significant value in the decorative horticulture industry, faces considerable challenges in its cultivation as a result of its susceptibility to various diseases, such as Bacterial Blight and ...

"A more focused and efficient assault is promoted by the use of Grad-CAM++, which guarantees that the adversarial noise is aligned with significant picture features. The suggested strategy is shown to be effective in ...

"Considering the cryptocurrency market's volatility, price prediction for cryptocurrency is very challenging. There are various factors like news, and social media news that affect the prices of cryptocurrency. To ...

"Software testing is crucial for verifying program behavior, but as test suites grow due to the increasing complexity of modern software systems and frequent changes requiring regression testing, executing these extensive ...

The proliferation of spam poses a significant challenge to email users and organizations, leading to compromised security, loss of productivity and potential financial losses. Traditional spam detection methods often ...

"In existing web design and development, the process of translating visual representations, such as web wireframes and Graphical User Interfaces (GUIs), into functional React components poses significant challenges. This ...

"Mental health is the most important aspect of life. Emotional, psychological, and social wellbeing is mostly based on good mental health. Mental illnesses, on the other hand, impede people from enjoying their lives to ...

"Kidney CT imaging is important for diagnosing kidney issues and requires accurate segmentation techniques for efficient analysis. Traditional U-Net architecture, which are often used for this task, have limitations with ...