Autonomous cars: Research results, issues, and future challenges

R Hussain, S Zeadally - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …

Exploration of issues, challenges and latest developments in autonomous cars

B Padmaja, CHV Moorthy, N Venkateswarulu… - Journal of Big Data, 2023 - Springer
Autonomous cars have achieved exceptional growth in the automotive industry in the last
century in terms of reliability, safety and affordability. Due to significant advancements in …

Applying machine learning in self-adaptive systems: A systematic literature review

O Gheibi, D Weyns, F Quin - ACM Transactions on Autonomous and …, 2021 - dl.acm.org
Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …

Autonomous vehicle safety: An interdisciplinary challenge

P Koopman, M Wagner - IEEE Intelligent Transportation …, 2017 - ieeexplore.ieee.org
Ensuring the safety of fully autonomous vehicles requires a multi-disciplinary approach
across all the levels of functional hierarchy, from hardware fault tolerance, to resilient …

Requirements engineering for machine learning: Perspectives from data scientists

A Vogelsang, M Borg - 2019 IEEE 27th International …, 2019 - ieeexplore.ieee.org
Machine learning (ML) is used increasingly in real-world applications. In this paper, we
describe our ongoing endeavor to define characteristics and challenges unique to …

Feature-oriented software product lines

S Apel, D Batory, C Kästner, G Saake - 2013 - Springer
The idea for this book arose from a series of lectures on modern programming paradigms,
feature-oriented programming, and software product lines that are continuously held at the …

Software engineering of self-adaptive systems

D Weyns - Handbook of software engineering, 2019 - Springer
Modern software systems are expected to operate under uncertain conditions, without
interruption. Possible causes of uncertainties include changes in the operational …

A survey on engineering approaches for self-adaptive systems

C Krupitzer, FM Roth, S VanSyckel, G Schiele… - Pervasive and Mobile …, 2015 - Elsevier
The complexity of information systems is increasing in recent years, leading to increased
effort for maintenance and configuration. Self-adaptive systems (SASs) address this issue …

Characterizing context-aware recommender systems: A systematic literature review

NM Villegas, C Sánchez, J Díaz-Cely… - Knowledge-Based …, 2018 - Elsevier
Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …

The emerging role of cognitive computing in healthcare: a systematic literature review

RK Behera, PK Bala, A Dhir - International journal of medical informatics, 2019 - Elsevier
To assist medical professional in better treatment of diseases, and improve patient
outcomes, healthcare has brought about a cognitive computing revolution. The cognitive …