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Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis

computers, Materials & Continua 2024年第8期80卷 2081-2098页

作者： Atif Mehmood Zhonglong Zheng Rizwan Khan Ahmad Al Smadi Farah Shahid Shahid Iqbal Mutasem K.Alsmadi Yazeed Yasin Ghadi Syed Aziz Shah Mostafa M.Ibrahim Department of Computer Science and Technology Zhejiang Normal UniversityJinhua321002China Zhejiang Institute of Photoelectronics&Zhejiang Institute for Advanced Light Source Zhejiang Normal UniversityJinhua321004China Department of Data Science and Artificial Intelligence Zarqa UniversityZarqa13100Jordan School of Chemical and Environmental Engineering College of ChemistryChemical Engineering andMaterials ScienceSoochow UniversitySuzhou215123China Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammam32244Saudi Arabia Department of Computer Science Al Ain UniversityAbu Dhabi999041United Arab Emirates Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61519Egypt Healthcare Technology and Innovation Theme Faculty Research Centre for Intelligent HealthcareCoventry UniversityCoventryCV48BWUK

Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing Alzheimer’s disease(AD).Mild cognitive impairment(MCI)is a condition that falls between the spectrum of normal cognitive function and ***,previous studies have mainly used handcrafted features to classify MCI,AD,and normal control(NC)*** paper focuses on using gray matter(GM)scans obtained through magnetic resonance imaging(MRI)for the diagnosis of individuals with MCI,AD,and *** improve classification performance,we developed two transfer learning strategies with data augmentation(i.e.,shear range,rotation,zoom range,channel shift).The first approach is a deep Siamese network(DSN),and the second approach involves using a cross-domain strategy with customized *** performed experiments on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset to evaluate the performance of our proposed *** experimental results demonstrate superior performance in classifying the three binary classification tasks:NC ***,NC ***,and MCI ***,we achieved a classification accuracy of 97.68%,94.25%,and 92.18%for the three cases,*** study proposes two transfer learning strategies with data augmentation to accurately diagnose MCI,AD,and normal control individuals using GM *** findings provide promising results for future research and clinical applications in the early detection and diagnosis of AD.

关键词： Alzheimer’s disease mild cognitive impairment normal control transfer learning classification augmentation

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A Liquid-Based Reconfigurable Fabry-Perot Cavity Antenna for Beam Steering 11

A Liquid-Based Reconfigurable Fabry-Perot Cavity Antenna for...

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11th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings

作者： Ashfaq, Mubashir Khan, Muhammad U. Farooqi, Tayyaba Arya, Ravi Kumar Dong, Junwei Mittra, Raj Islamabad Pakistan Zhongshan Institute of Changchun University of Science and Technology Xiangshan Laboratory China University of Central Florida Department of Electrical and Computer Engineering FL United States

ISBN: (纸本)9798350326277

In this work, a liquid-based reconfigurable beam steerable antenna is presented. The proposed antenna is a Fabry-Pérot cavity antenna (FPCA) wherein the metasurface forming the cavity has four-quadrant 3D-printed liquid chambers. The chambers are sandwiched between two 16×16 conductive cross grid and square patch resonant element array layers making the metasurface. The source antenna is a planar coaxial-fed patch antenna radiating at 10 GHz. The proposed metasurface along with the source antenna forms a FPCA having a gain of 7 dBi. Beam steering is achieved and controlled by filling water chambers in different combinations. Beam steering of ±30° is achieved in two orthogonal planes i.e., xz-plane and yz-plane. © 2023 IEEE.

关键词： 3D printing Beam steering meta-surface water

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Ultra-compact and broadband polarization-insensitive mode-order converting power splitter

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Chinese Optics Letters 2024年第3期22卷 36-41页

作者：陈浩琪姚润葵汪鹏君符强陈伟伟戴世勋孔德军林健金涛李军戴庭舸杨建义 Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China College of Electrical and Electronic Engineering Wenzhou UniversityWenzhou 325035China College of Science and Technology Ningbo UniversityNingbo 315211China Laboratory of Infrared Materials and Devices The Research Institute of Advanced TechnologiesNingbo UniversityNingbo 315211China Department of Information Science and Electronics Engineering Zhejiang UniversityHangzhou 310027China

A polarization-insensitive mode-order converting power splitter using a pixelated region is presented and investigated in this *** TE_(0)and TM_(0)modes are injected into the input port,they are converted into TE_(1)and TM_(1)modes,which evenly come out from the two output *** finite-difference time-domain method and direct-binary-search optimization algorithm are utilized to optimize structural parameters of the pixelated region to attain small insertion loss,low crosstalk,wide bandwidth,excellent power uniformity,polarization-insensitive property,and compact *** results reveal that the insertion loss,crosstalk,and power uniformity of the fabricated device at 1550 nm are 0.57,-19.67,and 0.094 d B in the case of TE polarization,while in the TM polarization,the relevant insertion loss,crosstalk,and power uniformity are 0.57,-19.40,and 0.11 d *** a wavelength range from 1520 to 1600 nm,for the fabricated device working at TE polarization,the insertion loss,crosstalk,and power uniformity are lower than 1.39,-17.64,and 0.14 *** the case of TM polarization,we achieved an insertion loss,crosstalk,and power uniformity less than 1.23,-17.62,and 0.14 dB.

关键词： integrated optics optical waveguide polarization-insensitive property mode-order converting power splitter

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Low Voltage Switchable Bistable Twist Nematic Display

Low Voltage Switchable Bistable Twist Nematic Display

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The 2023 International Conference on Display Technology, (ICDT 2023)

作者： Liu, Pengcheng Tseng, Man Chun Yeung, Fion Sze Yan Kwok, Hoi Sing State Key Laboratory of Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

The most common electronic paper technology is E-ink, which enables many novel applications such as e-readers, watches and electronic shelf labels. However, due to the TFT backplane driving and complex production processes, the cost of this technology is high, which limits its popularity. Recently, a low-cost π-bistable twist nematic (π- BTN) liquid crystal display with a high pretilt angle is proposed. It has the same structure and production method as an ordinary liquid crystal display. Passive driving enables the manufacture of high-resolution bistable displays without the use of thin-film transistors. Compared with the current bistable twist nematic display technology, the high pretilt angles structure helps to achieve a low-voltage and fast-respond bistable display. This wide viewing angle, high contrast and TFT-free display is a promising candidate for flexible displays. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Liquid crystal displays

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Physical Layer Covert Communication in B5G Wireless Networks - its Research, Applications, and Challenges

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Proceedings of the IEEE 2024年第1期112卷 47-82页

作者： Jiang, Yu'e Wang, Liangmin Chen, Hsiao-Hwa Shen, Xuemin University Key Laboratory of Intelligent Perception and Computing of Anhui Province Anqing Normal University Anqing246011 China Southeast University School of Cyber Science and Engineering Nanjing211189 China National Cheng Kung University Department of Engineering Science Taiwan70101 Taiwan University of Waterloo Department of Electrical and Computer Engineering WaterlooN2L 3G1 Canada

Physical layer covert communication is a crucial secure communication technology that enables a transmitter to convey information covertly to a recipient without being detected by adversaries. Unlike typical cryptography and physical layer security systems that concentrate on protecting the sent signal content, covert communications seek to conceal the existence of legitimate transmission. Thus, with beyond fifth-generation (B5G) wireless communications, covert communications can operate in tandem or as a supplement to conventional security techniques. We provide an extensive overview of the basic theories and several strategies in physical layer covert communications in this article. In particular, we go into great detail about the basic theories of physical layer covert communications, such as channel models, codes, secret keys, and covertness metrics, as well as various covert schemes in progressively more complicated scenarios, such as covert communications in single-antenna and multiantenna three-node systems and covert communications in jammer- and relay-aided systems. In addition, we identify the challenges and future directions for research on covert communications in B5G wireless networks. © 1963-2012 IEEE.

关键词： Transmitters

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EEG-based Emotion Recognition using Graph Attention Network with Dual-Branch Attention Module 46

EEG-based Emotion Recognition using Graph Attention Network ...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Li, Cheng Pun, Sio Hang Li, Jia Wen Chen, Fei University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Southern University of Science and Technology Department of Electrical and Electronic Engineering Shenzhen China Guangdong Polytechnic Normal University School of Computer Science Guangzhou China

ISBN: (纸本)9798350371499

EEG reveals human brain activities for emotion and becomes an important aspect of affective computing. In this study, we developed a novel approach, namely DAM-GAT, which incorporated a dual-branch attention module (DAM) into a graph attention network (GAT) for EEG-based emotion recognition. This method used the GAT to capture the local features of emotional EEG signals. To enhance the important EEG features for emotion recognition, the proposed method also included a DAM that calculated weights considering both channel and frequency information. Additionally, the relationship between EEG channels was determined using the phase-locking value (PLV) connectivity of corresponding EEG signals. Based on the SEED datasets, the proposed approach provided an accuracy of up to 94.63% for emotion recognition, demonstrating its impressive performance compared with other existing methods. © 2024 IEEE.

关键词： Emotion Recognition

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Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space

Decoding White Matter Fiber ODFs: A Mixture Learning Framewo...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Ma, Jiquan Deng, Chengdong Chen, Geng Jiang, Haotian Huang, Shijie Kim, Jaeil Wen, Xuyun Shen, Dinggang Heilongjiang University Department of Computer Science and Technology Harbin China Northwestern Polytechnical University School of Computer Science and Engineering Xi'an China Kyungpook National University School of Computer Science and Engineering Daegu Korea Republic of Nanjing University of Aeronautics and Astronautics School of Computer Science and Technology Nanjing China ShanghaiTech University School of Biomedical Engineering State Key Laboratory of Advanced Medical Materials and Devices Shanghai China Shanghai United Imaging Intelligence Co. Ltd. Shanghai China Shanghai Clinical Research and Trial Center Shanghai China

ISBN: (纸本)9798350386226

Diffusion magnetic resonance imaging (dMRI), as a powerful non-invasive white matter imaging technology, plays an important role in studying brain white matter. The fiber orientation distribution functions (fODFs) derived from dMRI data provide the key directional information of fiber tracts for revealing the 3D geometric structure of brain white matter. The estimation of fODFs faces two challenges, including (i) the demand for dMRI data densely sampled in q-space and (ii) the joint consideration of x-q space. To address these challenges, we propose a mixture learning framework with q-space sparely sampled dMRI data as input. Specifically, we propose an x-space learning module based on 3D U-Net to learn x-space features and a q-space learning module based on spherical convolutional neural networks to learn q-space features. Two kinds of features are then fused with a mixture learning fusion module for fODFs estimation. The whole framework is supervised with an x-q space loss function. Our framework makes full use of joint x-q space information for fODFs estimation with clinically available q-space sparsely sampled dMRI data. Extensive experiments on three public datasets show that our framework is effective in fODFs estimation and outperforms cutting-edge models. © 2024 IEEE.

关键词： Magnetic resonance imaging

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Discrete-Time Uncertain Event-Triggered H∞ Control for Slow Sampling Markov Jump Systems With Strictly Dissipativity

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Mathematical Methods in the Applied sciences 2025年第11期48卷 10896-10908页

作者： Kchaou, Mourad Syed Ali, M. Vigneshwar, B. Sanober, Sumaya Ibrahim, Tarek F. D Alanazi, Faizah Electrical Department College of Engineering University of Hail Kingdom Saudi Arabia Complex Systems and Networked Science Research Laboratory Department of Mathematics Thiruvalluvar University Tamil Nadu Vellore India Department of Computer Science Old Dominion University NorfolkVA United States Department of Mathematics Sciences College King Khalid University Abha Saudi Arabia Department of Mathematics Faculty of Sciences Mansoura University Mansoura Egypt Department of Mathematics College of Science Northern Border University Arar Saudi Arabia

This paper investigates the (Formula presented.) control problem for discrete-time uncertain slow sampling Markov jump systems under the event-triggered scheme. Discrete-time Markov jumps are controlled using an event-triggered scheme. An event-based strategy is addressed to reduce the data communication and improve the control efficiency. By applying a switched Lyapunov functional and linear matrix inequalities (LMIs), we derive sufficient conditions for (Formula presented.) -dissipativity of the resulting system. An event-triggered scheme is introduced into LMIs approaches in order to solve the dissipative control problem. The control strategy is implemented by combining the disturbance output with state feedback control law in order to achieve asymptotically stable closed-loop systems. Convex combination approach is utilized to handle slow sampling input, while parameter uncertainty and external disturbances are both included, and the robustness (Formula presented.) performance is analyzed. The developed methods are illustrated with two examples that illustrate their flexibility and applicability. © 2025 John Wiley & Sons Ltd.

关键词： Markov processes

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Weighted AoI Minimization for RIS-Assisted Multi-User mmWave Communications 23

Weighted AoI Minimization for RIS-Assisted Multi-User mmWave...

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23rd IEEE International Conference on Communication Technology, ICCT 2023

作者： Guo, Ziqi Niu, Yong Wen, Shuxian Fang, Ying Han, Zhu Mao, Shiwen Guan, Shunji Wang, Ning Ai, Bo Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing100044 China University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Auburn University Department of Electrical and Computer Engineering AuburnAL36849-5201 United States School of Information Engineering Zhengzhou University Zhengzhou450001 China

ISBN: (纸本)9798350325959

In this paper, we focus on a reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) communications system, where a RIS is deployed to create reliable reflection links and alleviate multi-user interference. In the system, each user equipment (UE) is concerned with the freshness of the information received from the base station (BS) and has a certain transmission requirement. The age of information (AoI) is adopted as the metric for information freshness and on this basis, we define the weighted AoI to take into account the satisfaction of UE transmission requirements. Then, an average weighted AoI minimization problem is formulated by jointly optimizing the precoding, the discrete RIS phase shifts, and the scheduling strategy. The problem is decomposed into two subproblems. For the first precoding and RIS design subproblem, we aim to satisfy the transmission requirements of the scheduled UEs with minimum power consumption under a given scheduling strategy. We use the zero-force (ZF)-based precoder and adopt the local search method for the RIS design. For the second scheduling strategy design subproblem, we propose a heuristic scheduling algorithm to minimize the system's average weighted AoI. Simulation results verify the effectiveness of our proposed method over several baseline schemes. © 2023 IEEE.

关键词： millimeter-wave (mmWave) communication Reconfigurable intelligent surface (RIS) scheduling strategy weighted age of information (AoI)

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Multimode amplitude squeezing through cascaded nonlinear processes

Multimode amplitude squeezing through cascaded nonlinear pro...

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CLEO: Fundamental science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Pontula, Sahil Salamin, Yannick Soljacic, Marin Department of Physics MIT CambridgeMA02139 United States Department of Electrical Engineering and Computer Science MIT 02139 CambridgeMA United States Research Laboratory of Electronics MIT CambridgeMA02139 United States

We show how engineering a multimode nonlinear cavity with cascaded three wave mixing processes creates significant intracavity and output amplitude noise squeezing over 10 dB below the shot noise limit for multiple fr... 详细信息

ISBN: (纸本)9781957171395

关键词： Nonlinear optics

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