Lentic waters, such as lakes, lagoons, reservoirs, and wetlands are characterized by their
absence of current. In recent decades, they have been threatened by pollution and scarcity …

The analysis and interpretation of cytopathological images are crucial in modern medical
diagnostics. However, manually locating and identifying relevant cells from the vast amount …

Abstract 3D object detection from the LiDAR point cloud plays an important role in
autonomous driving. It is difficult to balance inference speed and detection accuracy when …

Photovoltaic (PV) heating is a promising technology for achieving fossil fuel–free heating
and carbon neutrality in the building sector. Cost-effective energy storage plays a critical role …

No-service rail-surface defect detection is a crucial method for assessing the quality of
railroad tracks. However, the low-contrast and dark-tone characteristics of track-surface …

Cage and raft aquaculture (CRA) is vital for the coastal economy and provides high-quality
aquatic products. Accurately monitoring large-scale CRA lays the foundation for predicting …

Spectral collinearity and limited spectral datasets are the problems influencing Chemical
Oxygen Demand (COD) modeling. To address the first problem and obtain optimal modeling …

Dalam kehidupan sehari-hari, daging sapi seringkali menjadi kebutuhan utama manusia.
Namun, harga daging sapi yang tinggi dan mahal menjadi masalah yang memicu …

Deep neural networks have been widely applied in many fields, but it is found that they are
vulnerable to adversarial examples, which can mislead the DNN-based models with …

Early and accurate diagnosis of plant diseases in agriculture is crucial to increase
productivity, reduce the use of chemicals, save costs and obtain high quality products …