Outputs (130)

Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0 (2021)
Presentation / Conference Contribution

Maximizing the production process in modern industry, as proposed by Industry 4.0, requires extensive use of Cyber-Physical Systems (CbPS). Artificial intelligence technologies, through CbPS, allow monitoring of natural processes , making autonomous,... Read More about Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0.

Recommender systems algorithm selection using machine learning (2021)
Presentation / Conference Contribution

This article delivers a methodology for recommender system algorithm selection using a machine learning classifier. Initially, statistical data from real collaborative filtering recommender systems have been collected to form the basis for a syntheti... Read More about Recommender systems algorithm selection using machine learning.

AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt (2021)
Journal Article

Sustainable Farming requires up-to-date advice on crop diseases, patterns, and adequate prevention actions to face developing circumstances. Currently, in developing countries like Egypt, farmers’ access to such information is extremely limited due t... Read More about AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt.

Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021 (2021)
Book

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed r... Read More about Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021.

On coevolution: Asymmetry in the NKCS model (2021)
Journal Article

The NKCS model was introduced to explore coevolutionary systems, that is, systems in which multiple species are closely interconnected. The fitness landscapes of the species are coupled to a controllable amount, where the underlying properties of the... Read More about On coevolution: Asymmetry in the NKCS model.

Towards energy efficient clustering in wireless sensor networks: A comprehensive review (2021)
Journal Article

Clustering is one of the fundamental approaches used to optimize energy consumption in wireless sensor networks. Clustering protocols proposed in the literature can be classified according to different criteria related to their features such as the c... Read More about Towards energy efficient clustering in wireless sensor networks: A comprehensive review.

Federated blockchained supply chain management: A cybersecurity and privacy framework (2021)
Presentation / Conference Contribution

The complete transformation of the supply chain in a truly integrated and fully automated process, presupposes the continuous and endless collection of digital information from every stage of the production scale. The aim is not only to investigate t... Read More about Federated blockchained supply chain management: A cybersecurity and privacy framework.

On the emergence of intersexual selection: Arbitrary trait preference improves female-male coevolution (2021)
Journal Article

Sexual selection is a fundamental aspect of evolution for all eukaryotic organisms with mating types. This article suggests intersexual selection is best viewed as a mechanism with which to compensate for the unavoidable dynamics of coevolution betwe... Read More about On the emergence of intersexual selection: Arbitrary trait preference improves female-male coevolution.

Geo-AI to aid disaster response by memory-augmented deep reservoir computing (2021)
Journal Article

It is a fact that natural disasters often cause severe damage both to ecosystems and humans. Moreover, man-made disasters can have enormous moral and economic consequences for people. A typical example is the large deadly and catastrophic explosion i... Read More about Geo-AI to aid disaster response by memory-augmented deep reservoir computing.

Deep HDR hallucination for inverse tone mapping (2021)
Journal Article

Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas must be expanded and any missing information due to over/under-exposure... Read More about Deep HDR hallucination for inverse tone mapping.