Man Wu

TL;DR: In this article, a review of underwater routing protocols for UWSNs is presented, which classify the existing protocols into three categories: energy-based, data-based and geographic information-based protocols.

TL;DR: A mobility-assisted localization scheme with time synchronization-free feature (MALS-TSF) for three-dimensional (3D) large-scale UWSNs, where the underwater drift of the sensor node is considered in this scheme and results show that MALS- TSF can achieve a relatively high localization ratio without time synchronization.

TL;DR: A novel Progressive Low-Rank Subspace Alignment approach, which unifies a semi-supervised instance-transfer paradigm and an unsupervised mapping-transfer learning paradigm in a single optimization framework, and leverages the boosting-based TrAdaBoost algorithm and the Transfer Component Analysis algorithm for the implementation of instance reweighting and feature matching, respectively.

TL;DR: This paper proposes to acquire affective and robust representations automatically through the Stacked Denoising Autoencoder (SDA) architecture with unsupervised pre-training, followed by supervised fine-tuning, and reveals that the scheme slightly outperforms the other three deep feature extractors and surpasses the state-of-the-art of hand-engineered features.

TL;DR: A novel multi-target tracking algorithm that combines the joint probabilistic data association (JPDA) algorithm and the IUPF algorithm and a new multi-sensor distributed fusion model is proposed, which better integrates radar and infrared sensors.