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A Firewall Policy Anomaly Detection Framework for Reliable Network Security
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
One of the key challenges in computer networks is network security. For securing the network, various solutions have been proposed, including network security protocols and firewalls. In the case of so-called packet-filtering ...
Deep learning-based multi-task prediction system for plant disease and species detection
(
Elsevier
, 2022 , Article)
The manual prediction of plant species and plant diseases is expensive, time-consuming, and requires expertise that is not always available. Automated approaches, including machine learning and deep learning, are increasingly ...
Product failure detection for production lines using a data-driven model
(
Elsevier
, 2022 , Article)
For a healthy production line, it is essential to ensure a low failure rate of products. Product quality in production lines can be inspected using several techniques at the end of a production process, including a manual ...
Predicting Plasma Vitamin C Using Machine Learning
(
Taylor and Francis Ltd.
, 2022 , Article)
Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict ...
Applications of deep learning for mobile malware detection: A systematic literature review
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Springer Science and Business Media Deutschland GmbH
, 2022 , Article Review)
For detecting and resolving the various types of malware, novel techniques are proposed, among which deep learning algorithms play a crucial role. Although there has been a lot of research on the development of DL-based ...
Smart warehouses: Rationale, challenges and solution directions
(
MDPI
, 2022 , Article Review)
Smart warehouses aim to increase the overall service quality, productivity, and efficiency of the warehouse while minimizing costs and failures. In recent years, several studies have proposed and discussed different types ...
Applications of deep learning for phishing detection: a systematic literature review
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Phishing attacks aim to steal confidential information using sophisticated methods, techniques, and tools such as phishing through content injection, social engineering, online social networks, and mobile applications. To ...
Predictive maintenance using digital twins: A systematic literature review
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Elsevier
, 2022 , Article Review)
Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ...
Data analytics platforms for agricultural systems: A systematic literature review
(
Elsevier
, 2022 , Article Review)
With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the ...