|
|
|
|
|
Yu Yao and Quan Qian
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ryo Matsuoka, Koichi Kobayashi and Yuh Yamashita
A pickup and delivery problem by multiple agents has many applications, such as food delivery service and disaster rescue. In this problem, there are cases where fuels must be considered (e.g., the case of using drones as agents). In addition, there are ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maryam Badar and Marco Fisichella
Fairness-aware mining of data streams is a challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans in critical decision-making processes, e.g., hiring staff, assessing credit risk, et...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Sebnem Ozer, Jeff Howe and Anwar Walid
We introduce a novel multipath data transport approach at the transport layer referred to as ?Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion Control? (DDPG-MPCC), which leverages deep reinforcement learning to enhance co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junsheng Liu, Guangze Zhao, Shuangxi Liu, Yi Liu, Huawei Yang, Jingwei Sun, Yinfa Yan, Guoqiang Fan, Jinxing Wang and Hongjian Zhang
In the realm of automated apple picking operations, the real-time monitoring of apple maturity and diameter characteristics is of paramount importance. Given the constraints associated with feature detection of apples in automated harvesting, this study ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tamir Shaqarin and Bernd R. Noack
Limiting the suspension stroke in vehicles holds critical and conceivable benefits. It is crucial for the safety, stability, ride comfort, and overall performance of the vehicle. Furthermore, it improves the reliability of suspension components and maint...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xing Yang, Bin Fu, Xiaochuan Ma, Yu Liu, Dongyu Yuan and Xintong Wu
The current paper verifies the asynchronous ??8
H
8
control and optimization problem for flight vehicles with a time-varying delay. The nonlinear dynamic model and Jacobian linearization establish the flight vehicle?s switched model. An asynchronous ??8...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhe Liu, Jie Yan, Bangcheng Ai, Yonghua Fan, Kai Luo, Guodong Cai and Jiankai Qin
This paper presents a deep neural network-based online trajectory generation method for the aerodynamic characteristic description and terminal-area energy management of wave-rider aircrafts. First, the flight dynamics equations in the energy domain are ...
ver más
|
|
|
|
|
|