Slaughtering traits and meat quality of Cinisara cattle native Italian breed

Autor: Biagina Chiofalo, Alberto Ferrante, Salvatore Vasi, Enrico D'Alessandro, Vincenzo Chiofalo, Luigi Liotta

Publikováno v: Italian Journal of Animal Science, Vol 10, Iss 2, Pp e28-e28 (2011)

The aim of our study was to make an initial contribution to carcass traits and meat quality for typing and product certification, using sixteen male (M) and twelve female (F) Cinisara cattle, a native Italian breed. The animals were sampled in the mo

Externí odkaz: https://doaj.org/article/f8906893afb84708b84cde4586f58a57

Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects

Autor: Luca Butera, Alberto Ferrante, Mauro Prevostini, Mauro Jermini, Cesare Alippi

Publikováno v: IEEE/CAA Journal of Automatica Sinica. 9:246-258

Pest insect monitoring and control is crucial to ensure a safe and profitable crop growth in all plantation types, as well as guarantee food quality and limited use of pesticides. We aim at extending traditional monitoring by means of traps, by invol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f7403cf4c72e8353dcec051413615c05
https://doi.org/10.1109/jas.2021.1004317

Power & performance optimized hardware classifiers for efficient on-device malware detection

Autor: Muhammad Abdul Wahab, Jelena Milosevic, Francesco Regazzoni, Alberto Ferrante

Publikováno v: Proceedings of the Sixth Workshop on Cryptography and Security in Computing Systems.

Dynamic malware detection methods are able to detect the presence of malware at run-time, while malicious payloads are being executed. These methods are valuable tools in detection and protection from ever-increasing malicious threats, in particular,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e40e8716f5fd1ece06ad5e9ba55737d
https://doi.org/10.1145/3304080.3304085

Extinguishing ransomware - a hybrid approach to android ransomware detection

Autor: Miroslaw Malek, Jelena Milosevic, Alberto Ferrante, Fabio Martinelli, Francesco Mercaldo

Publikováno v: Lecture Notes in Computer Science
Lecture Notes in Computer Science-Foundations and Practice of Security
Foundations and Practice of Security
Foundations and Practice of Security ISBN: 9783319756493
FPS

Mobile ransomware is on the rise and effective defense from it is of utmost importance to guarantee security of mobile users’ data. Current solutions provided by antimalware vendors are signature-based and thus ineffective in removing ransomware an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6738d26edfc6ed7ff09e4312febd2ee0
https://hdl.handle.net/11695/115408

MalAware: Effective and Efficient Run-Time Mobile Malware Detector

Autor: Alberto Ferrante, Jelena Milosevic, Miroslaw Malek

Publikováno v: DASC/PiCom/DataCom/CyberSciTech

Effective detection of malware is of paramount importance for securing the next generation of smart devices. Static detection, the preferred technique used so far, is not sufficiently powerful to defeat state-of-the-art malware, and will be even less

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6be41f5f202fc277a0b3530819f9ec7a
https://doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.65