Abstract Infectious diseases spread rapidly, and epidemiological surveys are vital to detect high-risk transmitters and reduce transmission rates.To enhance efficiency and reduce the burden on epidemiologists, an automatic tool to assist with epidemiological surveys is necessary.This study aims to develop an automatic epidemiological survey to pred
Wound Healing Activity of 80% Methanol Leaf Extract of Zehneria scabra (L.f) Sond (Cucurbitaceae) in Mice
Bezu Tekleyes,1 Solomon Assefa Huluka,1 Kebede Wondu,2 Yohannes Tsegyie Wondmkun1 1Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia; 2Department of Pharmaceutics and Social Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University,
FPGA-Based Hybrid-Type Implementation of Quantized Neural Networks for Remote Sensing Applications
Recently, extensive convolutional neural network (CNN)-based methods have been used in remote sensing applications, such as object detection and classification, and have achieved significant improvements in performance.Furthermore, there are a lot of hardware implementation demands for remote sensing real-time processing applications.However, the o
How to define more sustainable m-learning projects
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