A software engineering perspective on engineering machine learning systems: State of the art and challenges

G Giray - Journal of Systems and Software, 2021 - Elsevier
Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

Software engineering for AI-based systems: a survey

S Martínez-Fernández, J Bogner, X Franch… - ACM Transactions on …, 2022 - dl.acm.org
AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …

[HTML][HTML] A compositional approach to creating architecture frameworks with an application to distributed AI systems

HM Heyn, E Knauss, P Pelliccione - Journal of Systems and Software, 2023 - Elsevier
Artificial intelligence (AI) in its various forms finds more and more its way into complex
distributed systems. For instance, it is used locally, as part of a sensor system, on the edge …

[PDF][PDF] A Secure Encrypted Classified Electronic Healthcare Data for Public Cloud Environment.

KSK Maathavan, S Venkatraman - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
The major operation of the blood bank supply chain is to estimate the demand, perform
inventory management and distribute adequate blood for the needs. The proliferation of big …

A holistic framework for AI systems in industrial applications

C Kaymakci, S Wenninger, A Sauer - … Systems: Volume II: A Collection of …, 2021 - Springer
Although several promising use cases for artificial intelligence (AI) for manufacturing
companies have been identified, these are not yet widely used. Existing literature covers a …

Benchmarking quantum versions of the kNN algorithm with a metric based on amplitude-encoded features

AY Guerrero-Estrada, LF Quezada, GH Sun - Scientific Reports, 2024 - nature.com
This work introduces a quantum subroutine for computing the distance between two patterns
and integrates it into two quantum versions of the kNN classifier algorithm: one proposed by …

Detection and Prognosis of Cancer Using State-of-the-Art Technologies: Review, Issues, and Motivation

V Rawat, DP Singh, N Singh… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Cancer is the most dangerous disease. It has a high death rate, is challenging to prevent,
and is prone to recurrence and metastasis. A set of more than 100 distinct disorders …

Formally identifying COVID-19 patients for providing medical services using drones

M Iqbal, NA Zafar… - … International Conference of …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that allows connecting physical
devices that are linked to the internet across the world to communicate and share …

Evaluation of information security awareness among Palestinian learners

Y Salem, M Moreb, KS Rabayah - … International Conference on …, 2021 - ieeexplore.ieee.org
Most of cyber security threats originate from users' unconcerned behaviors, especially when
those users are less aware of security threats and consequences. Attackers are aware of this …

A Supervised Learning Identification System for Prognosis of Breast Cancer

V Rawat, K Gulati, U Kaur, JK Seth… - Mathematical …, 2022 - Wiley Online Library
Breast cancer is one of the most dangerous cancers, accounting for a large number of
fatalities each year. It is the leading cause of mortality among women globally. It is getting a …