Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities

G Bathla, K Bhadane, RK Singh… - Mobile Information …, 2022 - Wiley Online Library
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

Machine learning-assisted approaches in modernized plant breeding programs

M Yoosefzadeh Najafabadi, M Hesami, M Eskandari - Genes, 2023 - mdpi.com
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Supporting Human-AI Teams: Transparency, explainability, and situation awareness

MR Endsley - Computers in Human Behavior, 2023 - Elsevier
Abstract System autonomy and AI are being developed for a wide variety of applications
where they will likely work in tandem with people, forming human-AI teams (HAT). Situation …

A meta-knowledge transfer-based differential evolution for multitask optimization

JY Li, ZH Zhan, KC Tan, J Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Knowledge transfer plays a vastly important role in solving multitask optimization problems
(MTOPs). Many existing methods transfer task-specific knowledge, such as the high-quality …

Hybrid collective intelligence in a human–AI society

MMM Peeters, J van Diggelen, K Van Den Bosch… - AI & society, 2021 - Springer
Within current debates about the future impact of Artificial Intelligence (AI) on human society,
roughly three different perspectives can be recognised:(1) the technology-centric …

Dynamic movement primitives based robot skills learning

LH Kong, W He, WS Chen, H Zhang… - Machine Intelligence …, 2023 - Springer
In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …

Human short long-term cognitive memory mechanism for visual monitoring in IoT-assisted smart cities

S Wang, X Liu, S Liu, K Muhammad… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the industry 4.0 era, the visualization and real-time automatic monitoring of smart cities
supported by the Internet of Things is becoming increasingly important. The use of filtering …

Mapping industry 4.0 enabling technologies into united nations sustainability development goals

M M. Mabkhot, P Ferreira, A Maffei, P Podržaj… - Sustainability, 2021 - mdpi.com
The emerging of the fourth industrial revolution, also known as Industry 4.0 (I4. 0), from the
advancement in several technologies is viewed not only to promote economic growth, but …

UcoSLAM: Simultaneous localization and mapping by fusion of keypoints and squared planar markers

R Munoz-Salinas, R Medina-Carnicer - Pattern Recognition, 2020 - Elsevier
Abstract Simultaneous Localization and Mapping is the process of simultaneously creating a
map of the environment while navigating in it. Most of the SLAM approaches use natural …