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Automated Grading of Breast Cancer Histopathology Images Using Multilayered Autoencoder

Computers, Materials & Continua 2022年第5期71卷 3407-3423页

作者： Shakra Mehak M.Usman Ashraf Rabia Zafar Ahmed M.Alghamdi Ahmed S.Alfakeeh Fawaz Alassery Habib Hamam Muhammad Shafiq Knowledge Unit of System and Technology University of Management&TechnologySialkot Campus51310Pakistan Department of Computer Science University of Management and TechnologySialkot Campus51310Pakistan Faculty of Computing and Technology University of Engineering&TechnologyNarowal51610Pakistan College of Computer Science and Engineering University of Jeddah21493Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Faculty of Engineering Moncton UniversityNBE1A3E9Canada Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Breast cancer(BC)is the most widely recognized cancer in women *** 2018,627,000 women had died of breast cancer(World Health Organization Report 2018).To diagnose BC,the evaluation of tumours is achieved by analysis of histological *** present,the Nottingham Bloom Richardson framework is the least expensive approach used to grade BC *** contemplate three elements,*** count,*** formation,and *** atypia,which is a laborious process that witness’s variations in expert’s ***,some algorithms have been proposed for the detection of mitotic cells,but nuclear atypia in breast cancer histopathology has not received much *** atypia analysis is performed not only to grade BC but also to provide critical information in the discrimination of normal breast,non-invasive breast(usual ductal hyperplasia,atypical ductal hyperplasia)and pre-invasive breast(ductal carcinoma in situ)and invasive breast *** proposed a deep-stacked multi-layer autoencoder ensemble with a softmax layer for the feature extraction and classification *** classification results show the value of the multilayer autoencoder model in the evaluation of nuclear *** proposed method has indicated promising results,making them more fit in breast cancer grading.

关键词： Breast cancer nuclear atypia autoencoder

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A Real-time Demonstration of Bidirectional Multiformat/Rate-adjustable Integrated Laser Communication/Ranging for Satellite Communication

A Real-time Demonstration of Bidirectional Multiformat/Rate-...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Wang, Yizhou Wang, Yuanxiang Luo, Zhen Zhong, Linsheng Zou, Yang Ao, Xueyuan Liu, Jiale Fan, Feng Li, Xiaoliang Dai, Xiaoxiao Yang, Qi Liu, Deming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science andEngineering Huazhong University of Science and Technology Wuhan430074 China Beijing Research Institute of Telemetry Beijing100094 China Jinyinhu Laboratory Wuhan430040 China

A multi-format/rate-adjustable integrated laser communication/ranging system is proposed, achieving adjustable rates between 0.625-10Gbit/s. Real-time experiment shows that at 1e-4 BER the ranging error is only 0.29% ... 详细信息

关键词： Satellite communication systems

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Velocity measurements in single and parallel channels using concentration changes in aqueous methylene blue solution

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International Journal of Hydrogen Energy 2025年 145卷 761-771页

作者： Yujin Cho Hanbyeol Pak Chang-Whan Lee Jeong-Hyun Kim Department of Mechanical Information Engineering Seoul National University of Science and Technology Seoul 01811 Republic of Korea Department of Mechanical System Design Engineering Seoul National University of Science and Technology Seoul 01811 Republic of Korea

Fluid flow along a path confined by a solid wall is observed in various industries, ranging from microfluidic channels to industrial piping systems. A straightforward technique is needed to measure the velocity in a branched channel system. This study proposes a non-invasive method for measuring the velocity in opaque parallel channel flows under laminar flow conditions. An aqueous methylene blue solution was infused into a channel with a square cross-section prefilled with deionized water, allowing for measuring the velocity field based on variations in liquid concentration. The proposed technique was tested in several configurations: a straight single channel, parallel channels with varying numbers of flow paths and inlet distribution lengths. As the number of flow paths for the parallel channel increased and the inlet distribution length decreased, a non-uniform flow distribution was observed. In all cases, the experimental results were in good agreement with the simulation results.

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Low-Complexity Chase Decoding of Hermitian Codes with Re-encoding Transform and Fast Factorization

Low-Complexity Chase Decoding of Hermitian Codes with Re-enc...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Liang, Jiwei Chen, Li School of System Science and Engineering Sun Yat-sen University Guangzhou510006 China School of Electronics and Information Technology Sun Yat-sen University Guangzhou510006 China

ISBN: (纸本)9798350370218

This paper proposes the low-complexity Chase (LCC) decoding for Hermitian codes, which is facilitated by the re-encoding transform (ReT) and fast factorization (FF). By identifying η unreliable received symbols, 2η test-vectors are formulated. Kotter's interpolation is performed for decoding the test-vectors, in which the common element interpolation is performed once and the uncommon element interpolation is further performed in a binary tree growing fashion. The ReT is introduced to reduce its complexity and latency. Moreover, the FF is introduced to obtain the estimated codewords directly from the interpolation outcome. It eliminates the redundant encoding that identifies the most likely decoding output. Our simulation results show that the decoding complexity and latency are effectively reduced over the prototype LCC decoding of Hermitian codes. © 2023 IEEE.

关键词： factorization Hermitian codes low-complexity Chase decoding re-encoding transform

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Clothed Human Model Estimation from Unseen Partial Point Clouds with Meta-learning 1st

Clothed Human Model Estimation from Unseen Partial Point Cl...

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1st International Artificial Intelligence Conference, IAIC 2023

作者： Fang, Chenghao Wang, Kangkan Yin, Shihao Li, Shaoyuan Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Nanjing University of Science and Technology Nanjing China Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9789819712793

This work aims to address the problems of clothed human reconstruction from unseen partial point clouds. Existing methods focus on estimating vertex offsets on top of parametric models for clothing details but with the limitation of the fixed topology, or reconstructing non-parametric shapes using implicit functions which are lack of semantic information. Moreover, due to limited training data, large variations in clothing details, and domain gaps between training data and real data, these methods often have poor generalization ability on real data. In this paper, we propose a generalizable approach for estimating dressed human models from single-frame partial point clouds based on meta-learning. Specifically, we first learn a meta-model that can efficiently estimate the parameters of unclothed human models from unseen data by a fast fine-tuning. Based on the unclothed human models, we further meta-learn the point-based human models in clothing with local geometric features, which is topologically flexible and rich in human details. Our approach outperforms previous work in terms of reconstruction accuracy, as evidenced by qualitative and quantitative results obtained from a variety of datasets. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Semantics

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Surface Threat Event Identification for Subway Tunnels Using Multi-classifier Fusion Algorithm Based Optical Fiber DAS system 28

Surface Threat Event Identification for Subway Tunnels Using...

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28th International Conference on Optical Fiber Sensors, OFS 2023

作者： He, Tao Zhang, Shixiong Li, Hao Yan, Zhijun Liu, Deming Sun, Qizhen School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China National Engineering Laboratory for Next Generation Internet Access System Wuhan430074 China

Multi-classifier fusion algorithm is proposed to identify surface intrusion events in the subway tunnel. Experimental demonstration verifies that the average recognition rate of 96.1% for four target events is achieve... 详细信息

ISBN: (纸本)9781957171302

关键词： Optical fibers

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Semantic information Extraction for Text Data with Probability Graph

Semantic Information Extraction for Text Data with Probabili...

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2023 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2023

作者： Zhao, Zhouxiang Yang, Zhaohui Hu, Ye Lin, Licheng Zhang, Zhaoyang Zhejiang University College of Information Science and Electronic Engineering Hangzhou China Zhejiang Lab Hangzhou China Hangzhou China University of Miami Department of Industrial and System Engineering Coral Gables United States

ISBN: (纸本)9798350345407

In this paper, the problem of semantic information extraction for resource constrained text data transmission is studied. In the considered model, a sequence of text data need to be transmitted within a communication resource-constrained network, which only allows limited data transmission. Thus, at the transmitter, the original text data is extracted with natural language processing techniques. Then, the extracted semantic information is captured in a knowledge graph. An additional probability dimension is introduced in this graph to capture the importance of each information. This semantic information extraction problem is posed as an optimization framework whose goal is to extract most important semantic information for transmission. To find an optimal solution for this problem, a Floyd's algorithm based solution coupled with an efficient sorting mechanism is proposed. Numerical results testify the effectiveness of the proposed algorithm with regards to two novel performance metrics including semantic uncertainty and semantic similarity. © 2023 IEEE.

关键词： Knowledge graph

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Extended NNs-Based Adaptive Event-Triggered Asymptotic Control for Nonlinear systems Against Actuator Faults 7

Extended NNs-Based Adaptive Event-Triggered Asymptotic Contr...

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7th International Symposium on Autonomous systems, ISAS 2024

作者： Liu, Shanlin Zhang, Yingwei Zhao, Xudong Wang, Hesheng Northeastern University College of Information Science and Engineering Shenyang China Northeastern University State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350363173

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent. © 2024 IEEE.

关键词： Approximation algorithms

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Bat Algorithm: A Review on Theory, Modifications and Applications 3

Bat Algorithm: A Review on Theory, Modifications and Applica...

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3rd International Conference on Intelligent Cybernetics technology and Applications, ICICyTA 2023

作者： Singh, Hakam Witarsyah, Deden Misra, Alok Tiwari, Raj Gaurang Chitkara University School of Engineering and Technology Department of Computer Science and Engineering Himachal Paradesh Baddi India Telkom University School of Industrial and System Engineering Information System Departement Bandung Indonesia Lovely Professional University School of Computer Application Punjab Phagwara India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350394559

Due to its many applications in a variety of domains, including clustering, cloud computing, and power systems, metaheuristic algorithms have attracted a lot of interest from the scholarly community. By using their self-explorative and adaptive processes, these algorithms provide certain benefits over conventional methods. One well-known metaheuristic approach is effective in resolving optimization problems with constraints and without constraints. This technique was inspired by nature, notably the echolocation ability of bat species. The Bat Algorithm (BA) makes use of a powerful search mechanism to provide the best results when compared to other algorithms of the same class. The theoretical underpinnings of the BA are explored in depth in this research, along with several changes and advancements that have improved its functionality. These enhancements include adjustments to search tactics as well as other developments. The report also thoroughly examines how the BA may be used across a variety of fields, demonstrating its competence and adaptability. The BA has been effectively used in several real-world applications, from cloud computing to clustering, and each one is carefully investigated. The study also offers a thoughtful examination of the BA's possible advancements and future possibilities. It also entails investigating novel modifications and tactics that might improve its effectiveness in handling challenging optimization issues. This study seeks to direct practitioners and academics toward more effective and efficient metaheuristic algorithms, thereby stimulating improvements in optimization approaches. It does this by summarising the present state of the BA and imagining its future development. © 2023 IEEE.

关键词： Cloud computing

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Risk-aware Online Optimization of Cross-Layer Resource Allocation in Next-Generation WLANs

Risk-aware Online Optimization of Cross-Layer Resource Alloc...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Zhang, Jing Zheng, Jinke Xiang, Lin Ge, Xiaohu Huazhong University of Science and Technology School of Electronic Information and Communications China Technische Universität Darmstadt Communications Engineering Lab Germany

ISBN: (纸本)9798350345384

Fiber-to-the-room (FTTR) technology provides a promising solution to enable high-capacity indoor wireless communications in next-generation wireless local area networks (WLANs). In this paper, we consider online cross-layer resource allocation in the uplink of FTTR WLANs to facilitate immersive user experience. We formulate a nonconvex optimization problem for maximizing the long-term total network utility while ensuring proportional fairness among the users and guaranteeing users' quality of service (QoS) requirements. Unlike the existing cross-layer resource allocation schemes, our approach simultaneously ensures queue stability and mitigates the risk of data loss caused by e.g. fading and interference, preemptive multiuser access, and finite buffer capacity, both achieved by limiting the entropic value-at-risk (EVaR) of the users' data queues. By employing Lyapunov optimization and relaxation techniques, we further transform the NP-hard problem into a convex problem and solve it via convex optimization. Simulation results show that the proposed EVaR-based cross-layer resource allocation framework can effectively limit the length of data queues at the users and, at the same time, provide fairness for the throughput achieved among users. © 2023 IEEE.

关键词： Quality of service

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