In this technologically advanced era, with the proliferation of artificial intelligence, many mobile apps are available for plant disease detection, diagnosis, and treatment, each a variety features. These need to be categorized reviewed following proper framework that ensures their quality. This study aims present an approach evaluating detection apps, which includes providing ratings distinct...

BACKGROUND Generating good training datasets is essential for machine learning-based nuclei detection methods. However, creating exhaustive nuclei contour annotations, to derive optimal training data from, is often infeasible. METHODS We compared different approaches for training nuclei detection methods solely based on nucleus center markers. Such markers contain less accurate information, e...

In India, gas leakage from the different factories harmful to human surveying in last fifty years is very low. However, there a lack of prior detection chemical gases system situation raised. So, this regard, gap identification intensity needed. work, main objective identify and maintain stream data database locations. To fill gap, that identifying high-intensity disaster areas. The first step ...

Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent further tissue damages death. The earliest most reliable sign ischemia regional wall motion abnormality (RWMA) the affected part ventricular muscle. Echocardiography can easily, i...

Quantitative monitoring is imperative to the sustainable management of coastal resources. Surfing resources have been both created and degenerated or destroyed by activities in zone. Effective surfing wave quality requires identification tracking breaking part unbroken crest. Remote Camera Systems (RCS) proven their utility being able monitor zone provide almost continuous, high frequency data ...