Supervised learning aims to build a function or model that seeks as many mappings as
possible between the training data and outputs, where each training data will predict as a …

Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …

Because there are various unsafe factors on the road, the testing of the virtual environment
is an important part of the automatic driving technology. This paper presents a CARLA …

Worldwide, energy consumption and saving represent the main challenges for all sectors,
most importantly in industrial and domestic sectors. The internet of things (IoT) is a new …

Bone marrow (BM) examination is an essential step in both diagnosing and managing
numerous hematologic disorders. BM nucleated differential count (NDC) analysis, as part of …

This paper proposes a CNN-LSTM-LightGBM based short-term wind power prediction
method based on the attention mechanism, which contains three main parts: data …

Automated driving and vehicle safety systems need object detection. It is important that
object detection be accurate overall and robust to weather and environmental conditions …

Traffic signs play a crucial role in managing traffic on the road, disciplining the drivers,
thereby preventing injury, property damage, and fatalities. Traffic sign management with …

Deep learning field has progressed the vision-based surround perception and has become
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …

A multiclass 3D object recognition has perceived a numerous evolution with respect to both
accuracy and speed. This study introduces the implementation of modern YOLO algorithms …