The real estate market creates one of the significant business domains for investors, but a
wise investment in real estate is more important for low-income people who have just one …

The uses of robots are changing from static environments in factories to encompass novel
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …

The nuclear protein Ki-67 and Tumor infiltrating lymphocytes (TILs) have been introduced as
prognostic factors in predicting both tumor progression and probable response to …

We propose a novel approach for aerial video action recognition. Our method is designed
for videos captured using UAVs and can run on edge or mobile devices. We present a …

Over the last decade, the use of Deep Learning in many applications produced results that
are comparable to and in some cases surpassing human expert performance. The …

Point cloud completion is the task of producing a complete 3D shape given an input of a
partial point cloud. It has become a vital process in 3D computer graphics, vision and …

This paper addresses the problem of identifying two main types of lesions—Exudates and
Microaneurysms—caused by Diabetic Retinopathy (DR) in the eyes of diabetic patients. We …

The precise identification of arrhythmia is critical in electrocardiogram (ECG) research. Many
automatic classification methods have been suggested so far. However, efficient and …

Human interaction recognition (HIR) is challenging due to multiple humans' involvement and
their mutual interaction in a single frame, generated from their movements. Mainstream …

For recognizing speakers in video streams, significant research studies have been made to
obtain a rich machine learning model by extracting high-level speaker's features such as …