2 天前 - … In this thesis, my first contribution was a deep learning … , statistical features and
machine learning to capture the … language model pipeline and android application, WashKaro, …

6 天前 - … based on Android platform in combination with the current wide application of
mobile terminal devices and the needs of athletes' daily sports monitoring. This project uses the …

20 天前 - … techniques and annotation at both whole and micro levels for comprehensive
analysis. … -NAS annotation models into an Android app, validating their effectiveness on unseen …

23 天前 - … Artificial Intelligence (AI), and Deep Learning (DL) algorithms … An innovative Apple
® and Android™ mobile application … techniques, Artificial Intelligence (AI), Machine Learning (…

24 天前 - … to identify events from 10 microblogging Android apps spanning one year. Each …
app-related events through machine learning techniques by developing a machine learning …

25 天前 - … -ECA with traditional machine learning methods and three other light-weight CNNs.
In the second layer, we also employ the optimizer Adam with a learning-rate of 0.00001. …

30 天前 - … analysis of our model’s performance against existing methods, including those
based on deep learning. … an Android malware analysis system that takes the entire code of an …

31 天前 - Stroke merupakan penyakit yang terjadi pada pembuluh darah pada otak yang
disebabkan karena kurangnya aliran oksigen ke otak sehingga menyebabkan kematian pada …

34 天前 - … in this study is designed for smartphones with Android OS. The app is used for
on-device ML model … Following are the description of the Machine Learning algorithms that were …

36 天前 - … Android application. This research can be used to develop the best machine
learning to classify malware applications using a Support Vector Machine (SVM), Decision Tree (…