A review on community detection in large complex networks from conventional to deep learning methods: A call for the use of parallel meta-heuristic algorithms
Complex networks (CNs) have gained much attention in recent years due to their
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
Outlier-resistant filtering with dead-zone-like censoring under try-once-discard protocol
In this paper, a novel outlier-resistant filtering problem is concerned for a class of networked
systems with dead-zone-like censoring under the weighted try-once-discard protocol …
systems with dead-zone-like censoring under the weighted try-once-discard protocol …
Bandwidth-constrained decentralized detection of an unknown vector signal via multisensor fusion
Decentralized detection is one of the key tasks that a wireless sensor network (WSN) is
faced to accomplish. Among several decision criteria, the Rao test is able to cope with an …
faced to accomplish. Among several decision criteria, the Rao test is able to cope with an …
Decomposed POMDP optimization-based sensor management for multi-target tracking in passive multi-sensor systems
This paper presents an efficient information-theoretic sensor management method to
maximize the performance of the passive multi-sensor system for multi-target tracking. We …
maximize the performance of the passive multi-sensor system for multi-target tracking. We …
Direct target localization with quantized measurements in noncoherent distributed MIMO radar systems
In this article, a direct target localization algorithm with quantized measurements for
noncoherent multiple-input–multiple-output (MIMO) systems is proposed. In this system …
noncoherent multiple-input–multiple-output (MIMO) systems is proposed. In this system …
Detection and localization of one-bit signal in multiple distributed subarray systems
A multiple distributed subarray (MDS) system usually transmits the raw data to the fusion
center (FC), where the target detection and localization can be processed. Transmitting raw …
center (FC), where the target detection and localization can be processed. Transmitting raw …
Weak signal detection with low-bit quantization in colocated MIMO radar
This paper addresses the weak signal detection problem in a massive colocated multiple-
input multiple-output (MIMO) radar. To cope with the sheer amount of data produced by the …
input multiple-output (MIMO) radar. To cope with the sheer amount of data produced by the …
Hybrid quantized signal detection with a bandwidth-constrained distributed radar system
This article addresses the hybrid quantized signal detection problem in a distributed radar
system, where widely separated antennas transmit low-bit quantized data with varying …
system, where widely separated antennas transmit low-bit quantized data with varying …
Dynamic quantizer design for target tracking for wireless sensor network with imperfect channels
Wireless sensor networks (WSNs) have been demonstrated to enhance parameter
estimation performance for target tracking. In this paper, a prior information based quantizer …
estimation performance for target tracking. In this paper, a prior information based quantizer …
Edge learning for large-scale Internet of Things with task-oriented efficient communication
In Internet of Things (IoT) networks, edge learning for data-driven tasks provides intelligent
applications and services. As the network size becomes large, different users may generate …
applications and services. As the network size becomes large, different users may generate …