Wireless sensor networks are widely used in monitoring and managing environmental
factors like air quality, humidity, temperature, and pressure. The recent works show that …

Histopathological image classification is one of the important application areas of medical
imaging. However, an accurate and efficient classification is still an open-ended research …

With the spread of COVID-19, there is an urgent need for a fast and reliable diagnostic aid.
For the same, literature has witnessed that medical imaging plays a vital role, and tools …

With the rapid development of cloud computing, users are exposed to increasingly serious
security threats such as data leakage and privacy exposure when using cloud platform …

Drought is a naturally occurring event in particular geographical area. Droughts are
classified as one of the major naturally occurring hazards causing severe impact on the …

Deep learning models have been quite successful in discriminating synthesized or edited
fake-face images. However, in the case of small training data, transfer-learning is rather …

The field of Unmanned Aerial Vehicles (UAVs), or drones, is encountering quick
development in the areas of air transportation and computerization. Progress in innovation …

Sažetak Deep convolutional neural networks (CNN) have made a huge impact on computer
vision and set the state-of-the-art in providing extremely definite classification results. For …

Image segmentation is a technique in which an image is partitioned into different categories
or regions that correspond to objects or parts of objects. The performance of segmentation …

Background: With the expeditious development of current medical imaging technology, the
availability of histopathological images has been increased in a large number. Hence …