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 development, where algorithms are hard-coded by humans, to ML systems …
Software engineering for AI-based systems: a survey
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 …
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
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 …
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 …
inventory management and distribute adequate blood for the needs. The proliferation of big …
A holistic framework for AI systems in industrial applications
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 …
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 …
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
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 …
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 …
devices that are linked to the internet across the world to communicate and share …
Evaluation of information security awareness among Palestinian learners
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 …
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
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 …
fatalities each year. It is the leading cause of mortality among women globally. It is getting a …