|
|
|
Nadia Brancati and Maria Frucci
To support pathologists in breast tumor diagnosis, deep learning plays a crucial role in the development of histological whole slide image (WSI) classification methods. However, automatic classification is challenging due to the high-resolution data and ...
ver más
|
|
|
|
|
|
Ruihang Zhang, Jiayan Yang, Mu Jia, Tingting Zhang and Yachuan Bao
Wireless localization and target sensing both rely on precise extraction of parameters such as signal amplitude, propagation delay, and Doppler shift from the received signals. Due to the high multi-path resolution and strong penetration, both localizati...
ver más
|
|
|
|
|
|
Yu Dai, Jiaming Fu, Zhen Gao and Lei Yang
Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energ...
ver más
|
|
|
|
|
|
Jianbo Liao, Shuang Li, Yihong Liu, Siyuan Mao, Tuo Tian, Xueyan Ma, Bing Li and Yong Qiu
It is essential to reduce carbon emissions in wastewater treatment plants (WWTPs) to achieve carbon neutrality in society. However, current optimization of WWTPs prioritizes the operation cost index (OCI) and effluent quality index (EQI) over greenhouse ...
ver más
|
|
|
|
|
|
Dayana Carolina Chalá, Edgar Quiñones-Bolaños and Mehrab Mehrvar
Land subsidence is a global challenge that enhances the vulnerability of aquifers where climate change and driving forces are occurring simultaneously. To comprehensively analyze this issue, integrated modeling tools are essential. This study advances th...
ver más
|
|
|