Countries are collaborating to make agriculture more efficient by combining new
technologies to improve its procedure. Improving irrigation efficiency in agriculture is thus …

In this work, a deep learning based optimum impedance spectroscopy model finding
algorithm is proposed. The technique uses convolutional neural networks with the long short …

Tissue identification is essential for surgeons to properly perform procedures and make
informed decisions to minimize potential harm to patients. Minimally invasive surgery (MIS) …

Cataracts, a prevalent eye condition impacting vision, demand accurate and prompt
identification for effective risk reduction and blindness prevention. Traditional methods of …

Between a global pandemic, aging population, and labor shortages, there is an ongoing
spike in the demand for healthcare that cannot be satisfied with traditional methods and the …

Over the past few years, machine learning (ML) has seen potential growth globally and has
contributed a huge role in technological advancements. With improved learning …

Smart irrigation technologies have emerged as crucial tools in modern agriculture, offering
innovative solutions to optimize water usage, enhance crop yields, and promote sustainable …

The first robotic system developed for intraocular procedures was reported in 1989. 3 Since
then, a dozen more systems have been developed. Initial devices were handheld tools that …