|
|
|
|
|
Fan Yang, Anita Moldenhauer-Roth, Robert M. Boes, Yuhong Zeng and Ismail Albayrak
To study the fish behavioral response to up- and downstream fish passage structures, live-fish tests are conducted in large flumes in various laboratories around the world. The use of multiple fisheye cameras to cover the full width and length of a flume...
ver más
|
|
|
|
|
|
|
|
|
Shijing Liu, Cheng Qian, Xueying Tu, Haojun Zheng, Lin Zhu, Huang Liu and Jun Chen
Variable-condition fish recognition is a type of cross-scene and cross-camera fish re-identification (re-ID) technology. Due to the difference in the domain distribution of fish images collected under different culture conditions, the available training ...
ver más
|
|
|
|
|
|
|
|
|
Charles P. Humphrey, Jr., Nicole Lyons, Ryan Bond, Eban Bean, Michael O?Driscoll and Avian White
Urban runoff from the Boat House Creek watershed was suspected as a main delivery mechanism for fecal indicator bacteria (FIB) to the lower White Oak River Estuary in coastal North Carolina, but the dominant source of waste (animal or human) was unknown....
ver más
|
|
|
|
|
|
|
|
|
Min-Jen Tsai, Ya-Chu Lee and Te-Ming Chen
QR codes (short for Quick Response codes) were originally developed for use in the automotive industry to track factory inventories and logistics, but their popularity has expanded significantly in the past few years due to the widespread applications of...
ver más
|
|
|
|
|
|
|
|
|
Hy Nguyen, Srikanth Thudumu, Hung Du, Kon Mouzakis and Rajesh Vasa
Several approaches have applied Deep Reinforcement Learning (DRL) to Unmanned Aerial Vehicles (UAVs) to do autonomous object tracking. These methods, however, are resource intensive and require prior knowledge of the environment, making them difficult to...
ver más
|
|
|
|