The segmentation accuracy of brain tumors has been improved through the application of
deep learning. According to current research, deep learning may produce high-quality …

Transfer learning has recently been developed as a powerful technique for accurate
classification of medical images. It is predominantly used in deep learning models to …

the paper discusses a way of growing the capability of severe deep learning machines
(ELM) for biomedical informatics programs. This technique involves varying the dimensions …

Smart farming generally refers to the application of advanced technologies in the farming. It
has the potential to change agriculture in a big way by making it more productive and …

In recent years, Neural networks are increasingly deployed in various fields to learn complex
patterns and make accurate predictions. However, designing an effective neural network …

Blockchain generation has emerged as a novel answer for securing decentralized networks.
This technology, which was first created for use in crypto currencies, has received enormous …

The agricultural sector increasingly uses data analytics to help with decision‐making.
Predictive models and real‐time decision‐making are essential components of data …

Drones have revolutionized agriculture and farming operations, providing benefits such as
boosting crop yields, saving time, and increasing efficiency and overall profitability. They can …

Gadget up to date has shown its effectiveness in several packages, identifying styles and
detecting anomalies. One such software enhances intrusion detection structures (IDS) …

This paper offers a complete analysis of the effect of human resources management (HRM)
algorithms on employee morale in multinational groups. To this quit, the study uses worker …