DAO to HANOI via DeSci: AI paradigm shifts from AlphaGo to ChatGPT
Q Miao, W Zheng, Y Lv, M Huang… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
From AlphaGo to ChatGPT, the field of AI has launched a series of remarkable
achievements in recent years. Analyzing, comparing, and summarizing these achievements …
achievements in recent years. Analyzing, comparing, and summarizing these achievements …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Fundamental limitations and state-of-the-art solutions for target node localization in WSNs: a review
With the advances in new technological trends and the reduction in prices of sensor nodes,
wireless sensor networks (WSNs) and their applications are proliferating in several areas of …
wireless sensor networks (WSNs) and their applications are proliferating in several areas of …
A systematic literature review on long‐term localization and map** for mobile robots
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Dual contrastive learning network for graph clustering
Graph representation is an important part of graph clustering. Recently, contrastive learning,
which maximizes the mutual information between augmented graph views that share the …
which maximizes the mutual information between augmented graph views that share the …
GraphCA: Learning from graph counterfactual augmentation for knowledge tracing
With the popularity of online learning in educational settings, knowledge tracing (KT) plays
an increasingly significant role. The task of KT is to help students learn more effectively by …
an increasingly significant role. The task of KT is to help students learn more effectively by …
Robust incremental long-term visual topological localization in changing environments
Robust long-term visual localization is challenging for a mobile robot, especially in changing
environments, where the dynamic scene changes degrade localization accuracy or even …
environments, where the dynamic scene changes degrade localization accuracy or even …
Learning robust representation and sequence constraint for retrieval-based long-term visual place recognition
Y Tan, P Ji, Y Zhang, F Ge, S Zhu - Engineering Applications of Artificial …, 2024 - Elsevier
Long-term visual place recognition is a crucial task for mobile robots. However, it poses
significant challenges due to factors such as seasonal changes and variations in …
significant challenges due to factors such as seasonal changes and variations in …