no code implementations • IEEE Open Journal of Engineering in Medicine and Biology 2024 • JiaHui Pan, Member, Weijie Fang, Zhihang Zhang, Bingzhi Chen*, Zheng Zhang, Shuihua Wang, Senior Member, IEEE
Method: In this paper, we propose a deep learning-based multimodal emotion recognition (MER) called
no code implementations • journal 2024 • Liyun Zuo, Baoyan Wang, Lei Zhang, Jun Xu, Member, IEEE, and Xiantong Zhen
Existing meta-learning models learn the ability of learning good representation or model parameters, in order to adapt to new tasks with a few training samples.
no code implementations • IEEE TRANSACTIONS ON SYSTEMS 2024 • Ruihang Ji, Shuzhi Sam Ge, Kai Zhao, Member, and Haizhou Li, Fellow, IEEE
Abstract—This article addresses the entry capture problem (ECP) of uncertain nonlinear systems under asymmetric performance constraints.
no code implementations • IEEE Transactions on Circuits and Systems for Video Technology 2024 • Zining Chen, Weiqiu Wang, Zhicheng Zhao, Fei Su, Member, IEEE, Aidong Men, and Yuan Dong
In this paper, we propose an instance paradigm contrastive learning framework, introducing contrast between original features and novel paradigms to alleviate domain-specific distractions.
no code implementations • IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024 • Xiaohu Ma, Wuli Wang, Member, IEEE
Simultaneously, for PW-Conv, we design a spectral convolution with redundancy removal (R2Spectral-Conv).
no code implementations • TMC 2024 • Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, and Zhaofei Yu, Member, IEEE
The objective is to design a unified solution to minimize task execution time under different MTO scenarios.
no code implementations • IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023 • Mohammad Shushtari, Hannah Dinovitzer, Jiacheng Weng, and Arash Arami, Member, IEEE
The estimator is finally tested on a participant walking with an active exoskeleton, demonstrating the robustness of D67 in interaction with an exoskeleton without being trained on any data from the test subject with or without an exoskeleton.
1 code implementation • journal 2023 • Jiangfeng Nan, Weiwen Deng, Member, IEEE, Ruzheng Zhang, Ying Wang, Rui Zhao, Juan Ding
To consider the interaction factor, the reward function for planning is utilized to evaluate the joint trajectories of the autonomous driving vehicle (ADV) and traffic vehicles.
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2023 • Chuangji Meng, Jinghuai Gao, Member, IEEE, Yajun Tian, Zhiqiang Wang
Thus, our proposed framework called VI-Non-IID inclines to have better noise characterization and generalization capabilities, which brings better performance on seismic field NA.
no code implementations • journal 2023 • Yaojie Liu and Xiaoming Liu, Member, IEEE
Yet, it is a challenging task due to the diversity of spoof attacks and the lack of ground truth for spoof traces.
no code implementations • IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022 • Wenyu Yu, Hui Kang, Geng Sun, Member, Shuang Liang, and Jiahui Li, Student Member, IEEE
Finally, the proposed ISSA is utilized to solve the objective function.
no code implementations • IEEE 2022 • Mikel Ferrero-Jaurrieta, Zdenko Taka ́cˇ, Javier Ferna ́ndez, Member, IEEE, Lˇubom ́ıra Horanska ́, Grac ̧aliz Pereira Dimuro, Susana Montes, Irene D ́ıaz and Humberto Bustince, Fellow, IEEE.
Choquet integral is a widely used aggregation oper- ator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data.
no code implementations • journal 2022 • Chia-Hung Yeh, Chu-Han Lin, Li-Wei Kang, Member, Chih-Hsiang Huang, Min-Hui Lin, Chuan-Yu Chang, and Chua-Chin Wang, Senior Member, IEEE
Li-Wei Kang is with the Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan (e-mail: lwkang@ntnu. edu. tw).
no code implementations • IEEE Transactions on Smart Grid 2022 • Di Cao, Member, Junbo Zhao, Weihao Hu, Senior Member, Qishu Liao, Qi Huang, Zhe Chen, Fellow, IEEE
Abstract—This paper addresses the distribution system state estimation (DSSE) with unknown topology change.
no code implementations • IEEE Transactions on Industrial Informatics 2022 • Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Member, IEEE, Han Yu
—The revolutionary advances in machine learning and data mining techniques have contributed greatly to the rapid developments of maritime Internet of Things (IoT).
no code implementations • journal 2022 • Lanxiang Chen, Yujie Xue, Yi Mu, Senior Member, Lingfang Zeng, Fatemeh Rezaeibagha, Member, and Robert H. Deng, Fellow, IEEE
To address this problem, a new context-aware semantically extensible searchable symmetric encryption based on Word2vec model (CASE-SSE) is proposed to achieve context-aware semantic extension in this article.
no code implementations • 6 Mar 2022 • Jin Zhao, Member, Fangxing Li, Fellow, Srijib Mukherjee, Senior Member, Christopher Sticht
The proposed deep RL method provides real-time computing to support on-line dynamic MMGF scheme, and the scheme handles a long-term resilience enhancement problem using adaptive on-line MMGF to defend changeable conditions.
3 code implementations • IEEE Transactions on Image Processing 2022 • Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Senior Member, Wei zhang, Member, IEEE, and En Zhu
Specifically, multiple affinity matrices constructed from the incomplete multi-view data are treated as a thirdorder low rank tensor with a tensor factorization regularization which preserves the high-order view correlation and sample correlation.
no code implementations • IEEE Transactions on Intelligent Transportation Systems 2022 • Junchen Jin, Member, IEEE, Dingding Rong, Tong Zhang, Qingyuan Ji, Haifeng Guo, Yisheng Lv, Xiaoliang Ma, and Fei-Yue Wang
This paper proposes a short-term traffic speed prediction approach, called PL-WGAN, for urban road networks, which is considered an important part of a novel parallel learning framework for traffic control and operation.
no code implementations • 1 Dec 2021 • Hongmin Gao, Member, Zhonghao Chen, Student Member, IEEE, Chenming Li
Therefore, this letter proposes a shallow model for HSIC, which is called depthwise over-parameterized convolutional neural network (DOCNN).
no code implementations • 27 Jul 2021 • Hang Shuai, Xiaomeng Ai, Jiakun Fang, Wei Yao, Senior Member, Jinyu Wen, Member, IEEE
It is challenging to solve this kind of stochastic nonlinear optimization problem.
no code implementations • IEEE Transactions on Intelligent Transportation Systems 2021 • Liangtian Wan, Yuchen Sun, Lu Sun, Member, Zhaolong Ning, Senior Member, and Joel J. P. C. Rodrigues, Fellow, IEEE
Abstract— In this paper, a novel system architecture including a massive multi-input multi-output (MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is considered in vehicle location systems.
no code implementations • IEEE Transactions on Visualization and Computer Graphics 2021 • Yun Zhang, Yu-Kun Lai, and Fang-Lue Zhang, Member, IEEE
By analyzing the irregular boundary, we construct a piecewise rectangular boundary.
no code implementations • 29 May 2021 • Karen Montano-Martinez, Sushrut Thakar, Shanshan Ma, Zahra Soltani, Student Member, Vijay Vittal, Life Fellow, Mojdeh Khorsand, Raja Ayyanar, Senior Member, Cynthia Rojas, Member, IEEE
Reliable and accurate distribution system modeling, including the secondary network, is essential in examining distribution system performance with high penetration of distributed energy resources (DERs).
no code implementations • IEEE Transactions on Intelligent Transportation Systems 2021 • Zhidan Liu, Jiangzhou Li, and Kaishun Wu, Member, IEEE
Abstract— Proactive taxi dispatching is of great importance to balance taxi demand-supply gaps among different locations in a city.
no code implementations • IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2021 • Huafeng Qin, Mounim A. El-Y acoubi, Y a n t a o L i, Member, IEEE, and Chongwen Liu
Despite recent advances of deep neural networks in hand vein identification, the existing solutions assume the availability of a large and rich set of training image samples.
no code implementations • journal 2021 • Weiwei Shan, Minhao Yang, Tao Wang, Yicheng Lu, Hao Cai, Lixuan Zhu, Jiaming Xu, Chengjun Wu, Longxing Shi, Senior Member, and Jun Yang, Member, IEEE
We propose a sub-µW always-ON keyword spotting (µKWS) chip for audio wake-up systems.
no code implementations • 2 Nov 2020 • Xingyu Lei, Student Member, Zhifang Yang, Member, Junbo Zhao, Juan Yu, Senior Member, IEEE
Case studies performed on the PJM 5-bus and IEEE 118-bus systems demonstrate that the proposed method is capable of accurately accounting the influence of wind curtailment dispatch in CCO.
Systems and Control Systems and Control
no code implementations • 28 Oct 2020 • QiFeng Lin, Jianhui Zhao, Gang Fu, and Zhiyong Yuan, Member, IEEE
Extensive experiments on the public Dataset for Object deTection in Aerial images data set indicate that our CRPN can help our detector deal the larger image faster with the limited GPU memory; meanwhile, the SFNet is beneficial to achieve more accurate detection of geospatial objects with wide-scale range.
no code implementations • 1 Oct 2020 • Jonathan MOJOO†a), Yu ZHAO†, Muthu Subash KAVITHA†, Nonmembers, Junichi MIYAO†, Member, and Takio KURITA
This work proposes a novel method to solve the problem of multi-label image annotation by unifying two different types of Laplacian regularization terms in deep convolutional neural network (CNN) for robust annotation performance.
1 code implementation • 22 Sep 2020 • Haoyu Tang, Jihua Zhu, Meng Liu, Member, IEEE, Zan Gao, Zhiyong Cheng
Another contribution is that we propose an additional predictor to utilize the internal frames in the model training to improve the localization accuracy.
1 code implementation • IEEE Transactions on Circuits and Systems for Video Technology 2020 • Fenfen Zhou, Yingjie Tian, Member, IEEE, and Zhiquan Qi
Then, we introduce a scale transfer block to magnify the feature maps without adding extra information.
no code implementations • TRANSACTIONS ON INDUSTRIAL INFORMA TICS 2020 • un Zhu, Nan Chen, Member, IEEE, and Changqing Shen
To solve this issue, transfer learning is proposed by leveraging knowl- edge learned from source domain to target domain.
no code implementations • 16 Jun 2020 • Liya Xu, Mingzhu Ge, Weili Wu, Member, IEEE
In fact, the application of blockchain in IoVs can be implemented by employing edge computing.
no code implementations • IEEE Transactions on Mobile Computing 2020 • Yao Sun, Shuang Qin, Member, Gang Feng, Lei Zhang, and Muhammad Ali Imran, SeniorMember, IEEE
Network slicing (NS) has been identified as one of the most promising architectural technologies for future mobile network systems to meet the extremely diversified service requirements of users.
no code implementations • 16 May 2020 • I. Dey, H. Joshi, Member, N. Marchetti, Senior Member, IEEE
In this letter, we propose space-time spreading (STS) of local sensor decisions before reporting them over a wireless multiple access channel (MAC), in order to achieve flexible balance between diversity and multiplexing gain as well as eliminate any chance of intrinsic interference inherent in MAC scenarios.
no code implementations • 27 Feb 2020 • Kuljeet Kaur∗, Sahil Garg∗, Georges Kaddoum∗, Member, Mohsen Guizani†, Fellow, IEEE, and Dushantha Nalin K. Jayakody‡, Senior Member, IEEE.
With the advent of the Internet-of-Things (IoT), vehicular networks and cyber-physical systems, the need for realtime data processing and analysis has emerged as an essential pre-requite for customers’ satisfaction.
1 code implementation • 24 Feb 2020 • Chongwen Huang, Member, IEEE, Ronghong Mo, Chau Yuen, Senior Member
In this paper, we investigate the joint design of transmit beamforming matrix at the base station and the phase shift matrix at the RIS, by leveraging recent advances in deep reinforcement learning (DRL).
no code implementations • TRANSACTION 2020 • Yazhou Hu, Wenxue Wang, Hao liu, and Lianqing Liu, Member, IEEE
In this algorithm, a reward function is defined according to the features of tracking control in order to speed up the learning process, and then an RL tracking controller with a kernel-based transition dynamic model is proposed.
no code implementations • 24 Dec 2019 • Yunfei Zheng, Badong Chen, Shiyuan Wang, Senior Member, Weiqun Wang, Member, IEEE
As an effective and efficient discriminative learning method, Broad Learning System (BLS) has received increasing attention due to its outstanding performance in various regression and classification problems.
no code implementations • IEEE Internet of Things Journal 2019 • Muhammad Yeasir Arafat, Sangman Moh, Member, IEEE
Second, we propose an energy-efficient swarm-intelligence-based clustering (SIC) algorithm based on PSO, in which the particle fitness function is exploited for inter-cluster distance, intra-cluster distance, residual energy, and geographic location.
no code implementations • 21 May 2019 • Giuseppe C. Calafiore, Stephane Gaubert, Member, Corrado Possieri
We show that a neural network whose output is obtained as the difference of the outputs of two feedforward networks with exponential activation function in the hidden layer and logarithmic activation function in the output node (LSE networks) is a smooth universal approximator of continuous functions over convex, compact sets.
no code implementations • IEEE Transactions on Cybernetics 2019 • Qinglai Wei, Ruizhuo Song, Member, IEEE, Zehua Liao, Benkai Li, and Frank L. Lewis
Abstract—In this paper, a new iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal impulsive control problems for infinite horizon discrete-time nonlinear systems.
no code implementations • IEEE 2019 • Milad Izadi, Student Member, IEEE and Amir Safdarian, Member, IEEE
The model is applied to the RBTS-Bus4 and a real distribution network.
no code implementations • 1 Mar 2019 • Liqun Lin, Shiqi Yu, Tiesong Zhao, Member, Zhou Wang, Fellow, IEEE
To monitor and improve visual QoE, it is crucial to develop subjective and objective measures that can identify and quantify various types of PEAs.
no code implementations • IEEE INTERNET OF THINGS JOURNAL, VOL. 6, NO. 3 2018 • Jiawen Kang, Rong Y u, Xumin Huang, Maoqiang Wu, Sabita Maharjan, Member, Shengli Xie, and Y an Zhang, Senior Member, IEEE
Due to limited resources with vehicles, vehicular edge computing and networks (VECONs) i. e., the integration of mobile edge computing and vehicular networks, can provide powerful computing and massive storage resources.
no code implementations • 13 Aug 2018 • Xiaofeng Li, Cihan Tepedelenlio˘glu, and Habib ¸Senol, Member, IEEE
For the former, we propose a training scheme to estimate the overall channel, and for the latter the CRB and the optimal number of relays are derived when the distance between the source and the destination is fixed.
1 code implementation • journals 2016 • Ding Liu, Zhaowen Wang, Bihan Wen, Student Member, Jianchao Yang, Member, Wei Han, and Thomas S. Huang, Fellow, IEEE
We demonstrate that a sparse coding model particularly designed for SR can be incarnated as a neural network with the merit of end-to-end optimization over training data.
no code implementations • IEEE Transactions on Power Systems: A Publication of the Power Engineering Society. Volume 29 , Issue 4 . 2014. PP 17 2014 • Giulio Binetti, Ali Davoudi, Member
The second algorithm performs the estimation ofthe power mismatch in the system using a consensus strategy called consensus on the most up-to-date information.
no code implementations • journal 2013 • Hamed Rezaee, Student Member, and Farzaneh Abdollahi, Member, IEEE
The problem of formation control of a team of mobile robots based on the virtual and behavioral structures is considered in this paper.
1 code implementation • IEEE Transactions on Evolutionary Computation 2013 • Shengxiang Yang, Member, IEEE, Miqing Li, Xiaohui Liu, and Jinhua Zheng
Balancing convergence and diversity plays a key role in evolutionary multiobjective optimization (EMO).
no code implementations • 29 Jul 2011 • Christopher G. Scully, Student Member, Jinseok Lee, Joseph Meyer, Alexander M. Gorbach, Domhnull Granquist-Fraser, Yitzhak Mendelson, Member, and Ki H. Chon, Senior Member, IEEE
We show that a mobile phone can serve as an accurate monitor for several physiological variables, based on its ability to record and analyze the varying color signals of a fingertip placed in contact with its optical sensor.
Ranked #1 on SpO2 estimation on Video recordings of fingertip under mobile phone fla (using extra training data)
no code implementations • journal 2010 • Himal A. Suraweera, Member, HariK.Garg, and A. Nallanathan, Senior Member, IEEE
Abstract—We analyze the performance of a two hop channel state information (CSI)-assisted amplify-and-forward system, with co-channel interference at the relay.
no code implementations • 18 Feb 2010 • Guoren Wang, Bin Wang, Xiaochun Yang, IEEE Computer Society, and Ge Yu, Member, IEEE
Abstract—The graph structure is a very important means to model schemaless data with complicated structures, such as protein- protein interaction networks, chemical compounds, knowledge query inferring systems, and road networks.
no code implementations • IEEE 2007 • Ron Rubinstein, Member, Tomer Peleg, Student Member, and Michael Elad, Fellow, IEEE
Abstract—The synthesis-based sparse representation model for signals has drawn considerable interest in the past decade.