|
|
|
|
|
Ali Abbasi Tadi, Saroj Dayal, Dima Alhadidi and Noman Mohammed
The vulnerability of machine learning models to membership inference attacks, which aim to determine whether a specific record belongs to the training dataset, is explored in this paper. Federated learning allows multiple parties to independently train a...
ver más
|
|
|
|
|
|
|
|
|
Dohoon Lee, David Camacho and Jason J. Jung
Many vehicles are connected to the Internet, and big data are continually created. Various studies have been conducted involving the development of artificial intelligence, machine learning technology, and big data frameworks. The analysis of smart mobil...
ver más
|
|
|
|
|
|
|
|
|
Hefdhallah S. Al-Aizari, Fatima Aslaou, Ali R. Al-Aizari, Abdel-Basit Al-Odayni and Abdul-Jaleel M. Al-Aizari
Groundwater is an essential and indispensable resource, meeting dire needs for drinking and irrigation purposes. The aim of this study is to assess the suitability of groundwater quality for drinking purposes. This evaluation will be conducted using the ...
ver más
|
|
|
|
|
|
|
|
|
Alex Brisbois and Rebecca Dziedzic
Installing pumps as turbines (PaTs) in water distribution networks can recover otherwise wasted energy, as well as reduce leakage caused by high water pressure. However, a barrier to their implementation is the lack of information on their performance in...
ver más
|
|
|
|
|
|
|
|
|
Dominik Wunderlich, Daniel Bernau, Francesco Aldà, Javier Parra-Arnau and Thorsten Strufe
Hierarchical text classification consists of classifying text documents into a hierarchy of classes and sub-classes. Although Artificial Neural Networks have proved useful to perform this task, unfortunately, they can leak training data information to ad...
ver más
|
|
|
|