A Manifold Learning Framework for the Detection of Cardiac Disorders in Acoustic Signals

Keren Hochman, Amir Averbuch , Alon Schclar, and Raid Saabni Cardiac disorders are clinical situations in which the heart does not function properly. These disorders may be fatal to patients if they are not detected. Detecting such disorders often involves specia and in some cases very expensive medical devices such as Computer Tomography (CT), Magnetic […]

A Diffusion Dimensionality Reduction Approach to Background Subtraction in Video Sequences.

Dina Dushnik, Alon Schclar, Amir Averbuch, and Raid Saabni Identifying moving objects in a video sequence is a fundamental and critical task in many computer-visionapplications. A common approach performs background subtraction, which identifies moving objects as the portion of a video frame that differs significantly from a background model. An effective background sub- traction algorithm […]

Microclimate and crop performance in a tunnel greenhouse shaded by organic photovoltaic modules – Comparison with conventional shaded and unshaded tunnels

The use of flexible and semi-transparent organic photovoltaic (OPV) modules as shading elements in a greenhouse tunnel with a tomato crop is presented. Experiments were performed in two similar greenhouse tunnels, covered by diffuse polyethylene sheet, during two summer growing seasons. In 2018, one tunnel was shaded using OPV modules (covering 37% of the roof […]