2.2k citations · 3.2k across the 37 of their papers we have counts for
7 papers · 1 filter
An adaptive experience-based discrete genetic algorithm for multi-trip picking robot task scheduling in smart orchards
Peng Chen, Jing Liangb, Kang-Jia Qiao +5
The continuous innovation of smart robotic technologies is driving the development of smart orchards, significantly enhancing the potential for automated harvesting systems. While…
A segment anchoring-based balancing algorithm for agricultural multi-robot task allocation with energy constraints
Peng Chen, Jing Liang, Kang-Jia Qiao +6
Multi-robot systems have emerged as a key technology for addressing the efficiency and cost challenges in labor-intensive industries. In the representative scenario of smart farmin…
RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis
Amith Khandakar, David Michelson, Shaikh Golam Rabbani +8
It's important to monitor road issues such as bumps and potholes to enhance safety and improve road conditions. Smartphones are equipped with various built-in sensors that offer a…
Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning
Junda Wang, Minghui Hu, Ning Li +2
Class incremental learning (CIL) requires an agent to learn distinct tasks consecutively with knowledge retention against forgetting. Problems impeding the practical applications o…
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Zhongzheng Qiao, Chenghao Liu, Yiming Zhang +6
Time series foundation models (TSFMs) demonstrate impressive zero-shot performance for time series forecasting. However, an important yet underexplored challenge is how to effectiv…
R^2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework
Anuradha Kumari, Mushir Akhtar, P. N. Suganthan +1
The random vector functional link (RVFL) neural network has shown significant potential in overcoming the constraints of traditional artificial neural networks, such as excessive c…
Learning Strategies in Particle Swarm Optimizer: A Critical Review and Performance Analysis
Dikshit Chauhan, Shivani, P. N. Suganthan
Nature has long inspired the development of swarm intelligence (SI), a key branch of artificial intelligence that models collective behaviors observed in biological systems for sol…