EFFECTIVENESS OF PHAGE-BASED INHIBITION OF LISTERIA MONOCYTOGENES IN FOOD PRODUCTS AND FOOD PROCESSING ENVIRONMENTS

Effectiveness of Phage-Based Inhibition of Listeria monocytogenes in Food Products and Food Processing Environments

Providing safe products and compliance of legal requirements is still a great challenge for food manufacturers regarding microbiological safety, especially in the context of Listeria monocytogenes food bostik roll-cote contamination.L.monocytogenes is a human pathogen, which, due to the ability of survival and proliferation in preservation conditio

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A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling

In recent years, the number of smart objects connected through the Internet of Things (IoT) has increased significantly.These smart objects are susceptible to cybersecurity threats and are easily affected by IoT malware.Malwares, if not detected, can harm different components of the IoT: smart objects, communication network, and the applications, l

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CNN-BiLSTM: A Hybrid Deep Learning Approach for Network Intrusion Detection System in Software-Defined Networking With Hybrid Feature Selection

A Software-Defined Network (SDN) was designed to simplify network management by allowing the control and management of the entire network from a single place.SDN is commonly used in today’s data center network infrastructure, but new forms of threats such as chainsaw file Distributed Denial-of-Service (DDoS), web attacks, and the U2R (User t

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