In the recent times, there has been a lot of speculation related to advanced driver‐
assistance system (ADAS) which provides best driving experience for the drivers. ADAS …

Generalizability of algorithms for binary cancer vs. no cancer classification is unknown for
clinically more significant multi-class scenarios where intermediate categories have different …

Annually, deep learning algorithms have proven their effectiveness in many vision-based
applications, such as autonomous driving, traffic, and congestion monitoring, and so on. In …

Traffic sign recognition plays a crucial role in the development of autonomous cars to reduce
the accident rate and promote road safety. It has been a necessity to address traffic signs …

Livestock management involves the monitoring of farm animals by tracking certain
physiological and phenotypical characteristics over time. In the dairy industry, for instance …

The popularity and the appeal of systems which are able to automatically determine the
gender from face images are growing rapidly. Such a great interest arises from the wide …

Delineation of curvilinear structures in images is an important basic step of several image
processing applications, such as segmentation of roads or rivers in aerial images, vessels or …

This paper presents a system for classifying images based on Deep Learning and applied in
the recognition of traffic signals aiming to increase road safety increased road safety using …

The correct and robust recognition of traffic signs is indispensable to self-driving vehicles
and driver-assistant systems. In this work, we propose and evaluate two network …

Аннотация Рассматривается задача определения текущего положения пневматических
исполнительных механизмов. Решение поставленной задачи достигается введением …