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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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Zero-DCE With Global information for low-Light Image Enhancement in Coal Mine IoVT

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IEEE Internet of Things Journal 2025年

作者： Tian, Zijian Li, XinLong Zhang, HaiLan Chen, Wei Yang, Wei Wang, Zehua Yu, Fei Richard Leung, Victor C. M. School of Artificial Intelligence Beijing100083 China China University of Mining and Technology School of Computer Science and Technology Jiangsu Xuzhou221116 China School of Mechanical Electronic and Information Engineering Beijing100083 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada Carleton University Department of Systems and Computer Engineering ON OttawaK1S 5B6 Canada

With the rapid advancement of technologies such as artificial intelligence and the Internet of Things, video surveillance—being a core component of video IoT systems—has been widely adopted for underground coal mine safety monitoring. However, the dim lighting and heavy coal dust in underground mines result in poor visibility and significant detail loss in monitoring images, posing a major challenge to coal mine safety management. To address these issues, we propose a low-light image enhancement method tailored for underground coal mine environments, based on *** our method, traditional convolutions are replaced with Ghost modules to reduce computational cost while maintaining feature extraction ***,we incorporate global context blocks and a Vision Transformer branch to integrate more global information into the ***, the global context blocks improve the model’s ability to correct uneven illumination and prevent ***, the Vision Transformer branch captures long-range dependencies and fuses local and global features to enhance brightness while mitigating color ***, we replace the original quadratic iterative function with a reciprocal illumination mapping function,enabling more stable and perceptually aligned brightness *** results on the coal mine underground personnel dataset demonstrate that our method outperforms several state-of-the-art low-light enhancement techniques, achieving superior results in both qualitative and quantitative *** findings indicate that our approach significantly improves the visibility and overall quality of underground coal mine monitoring images. © 2014 IEEE.

关键词： Coal dust

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New joint demosaicing and zooming algorithm for color filter array

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IEEE Transactions on Consumer Electronics 2009年第3期55卷 1477-1486页

作者： Chung, Kuo-Liang Yang, Wei-Jen Chen, Pang-Yen Yan, Wen-Ming Fuh, Chiou-Shann Department of Computer Science and Information Engineering National Taiwan University of Science and Technology No. 43 Section 4 Keelung Road Taipei 10672 Taiwan Department of Computer Science and Information Engineering National Taiwan University No. 1 Section 4 Roosevelt Road Taipei Taiwan

This paper presents a new joint demosaicing and zooming algorithm for digital cameras, each equipped with a single CCD/CMOS sensor and a color filter array (CFA). According to the proposed adaptive heterogeneity projection masks and Sobel- and luminance estimation-based masks, we can extract edge information of each pixel in terms of the direction of variation and the gradient from the mosaic image directly and accurately, and the extracted more accurate edge information will be utilized to assist the design of our proposed new joint demosaicing and zooming algorithm. Based on twenty-four popular testing mosaic images, our proposed new zooming algorithm has better image quality performance in terms of two objective color image quality measures, the color peak signal-to-noise ratio (CPSNR) and the S-CIELAB ΔEab * metric, and one subjective color image quality measure, the color artifacts, when compared with several previous zooming algorithms. © 2009 IEEE.

关键词： Digital cameras

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Uncertain Location Transmitter and UAV-Aided Warden Based LEO Satellite Covert Communication Systems

arXiv

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arXiv 2025年

作者： Peng, Pei Chen, Xianfu Xu, Tianheng Wu, Celimuge Zou, Yulong Ni, Qiang Soljanin, Emina School of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications Jiangsu Nanjing210003 China Shenzhen CyberAray Network Technology Company Ltd. Guangdong Shenzhen518042 China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai201210 China Meta-Networking Research Center The University of Electro-Communications Tokyo182-8585 Japan School of Computing and Communications Lancaster University LancasterLA1 4WA United Kingdom Department of Electrical and Computer Engineering Rutgers The State University of New Jersey PiscatawayNJ08854 United States

We propose a novel covert communication system in which a ground user, Alice, transmits unauthorized message fragments to Bob, a low-Earth orbit satellite (LEO), and an unmanned aerial vehicle (UAV) warden (Willie) attempts to detect these transmissions. The key contribution is modeling a scenario where Alice and Willie are unaware of each other’s exact locations and move randomly within a specific area. Alice utilizes environmental obstructions to avoid detection and only transmits when the satellite is directly overhead. LEO satellite technology allows users to avoid transmitting messages near a base station. We introduce two key performance metrics: catch probability (Willie detects and locates Alice during a message chunk transmission) and overall catch probability over multiple message chunks. We analyze how two parameters impact these metrics: 1) the size of the detection window and 2) the number of message chunks. The paper proposes two algorithms to optimize these parameters. The simulation results show that the algorithms effectively reduce the detection risks. This work advances the understanding of covert communication under mobility and uncertainty in satellite-aided systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Drones

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Cluster-based multicast routing protocol for MANET

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WSEAS Transactions on computers 2007年第3期6卷 566-572页

作者： Shih, Chao-Cheng Shih, Tzay-Farn Department of Information Management Shih Hsin University No. 1 Lane 17 Sec. 1 Mu-Cha Road Taipei 116 Taiwan Department of Computer Science and Information Engineering Chaoyang University of Technology Taichung 41349 Taiwan

Many applications of computer network such as videoconferencing will involve multiple users that will rely on the ability of the network to provide multicast services. It has recently attracted a lot of attention in the design of multicast routing protocol for ad hoc mobile network. Routing protocols used in conventional wired networks are not suited to the mobile environment due to the considerable overhead produced by periodic route update messages and their slow convergence to topological changes. Most of the proposed routing algorithms require maintaining a global network state at each node. The global state is always an approximation of the current network state due to the non-negligible delay of propagating local state. As the network size grows, the imprecision of global state and the storage and communication overhead increase. The imprecision of global state information and the high storage and communication overhead make those algorithms do not scale well. We propose a scalable and loop-free distributed cluster multicast QoS routing algorithm, which requires every node to maintain only its local state and uses physical location information provided by positioning devices in route discovery and route maintenance. In our protocol, the whole network is partitioned into several squares called zones or clusters. In each cluster, we first use a cluster head selection algorithm to select a cluster head and then use a gateway selection algorithm to select gateways to communicate with neighbor cluster heads. After the construction of cluster heads and gateway nodes, it uses a distributed computation to collectively utilize the most up-to-date local state information to find multicast tree in a hop-by-hop-basis. The performance of our algorithm was studied through extensive simulation. The simulation results reveal that it has a much better performance and lower route discovery traffic than other algorithm.

关键词： Multicasting

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Exception handling refactorings: Directed by goals and driven by bug fixing

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Journal of Systems and Software 2009年第2期82卷 333-345页

作者： Chen, Chien-Tsun Cheng, Yu Chin Hsieh, Chin-Yun Wu, I-Lang Department of Computer Science and Information Engineering National Taipei University of Technology 1 Sec 3 Chung-Hsiao E. Road Taipei 106 Taiwan

Exception handling design can improve robustness, which is an important quality attribute of software. However, exception handling design remains one of the less understood and considered parts in software development. In addition, like most software design problems, even if developers are requested to design with exception handling beforehand, it is very difficult to get the right design at the first shot. Therefore, improving exception handling design after software is constructed is necessary. This paper applies refactoring to incrementally improve exception handling design. We first establish four exception handling goals to stage the refactoring actions. Next, we introduce exception handling smells that hinder the achievement of the goals and propose exception handling refactorings to eliminate the smells. We suggest exception handling refactoring is best driven by bug fixing because it provides measurable quality improvement results that explicitly reveal the benefits of refactoring. We conduct a case study with the proposed refactorings on a real world banking application and provide a cost-effectiveness analysis. The result shows that our approach can effectively improve exception handling design, enhance software robustness, and save maintenance cost. Our approach simplifies the process of applying big exception handling refactoring by dividing the process into clearly defined intermediate milestones that are easily exercised and verified. The approach can be applied in general software development and in legacy system maintenance. © 2008 Elsevier Inc. All rights reserved.

关键词： Software design

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Volatile to Non-Volatile Switching Transition in Chalcogenides

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Advanced Functional Materials 2025年

作者： Zhao, Zihao Zhang, Mengfei Yang, Qun Gotoh, Tamihiro Ge, Qingqin Shi, Nannan Sun, Yuting Zhao, Jiayi Sui, Yanping Jiang, Ran Yu, Haibin Elliott, Stephen R. Song, Zhitang Zhu, Min National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Micro-System and Information Technology Chinese Academy of Sciences Shanghai200050 China University of Chinese Academy of Sciences Beijing100029 China Wuhan National High Magnetic Field Center and School of Physics Huazhong University of Science and Technology Wuhan430074 China Department of Physics Graduate School of Science and Technology Gunma University Maebashi3718510 Japan Thermo Fisher Scientific China Shanghai200050 China Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China Trinity College University of Cambridge CambridgeCB2 1TQ United Kingdom Physical and Theoretical Chemistry Laboratory University of Oxford OxfordOX1 3QZ United Kingdom School of Integrated Circuits Shanghai Jiao Tong University Shanghai200240 China

Over the past 60 years, three distinct electrical switching behaviors have been discovered in chalcogenides: ovonic threshold switch (OTS), ovonic memory switch (OMS), and phase-change switch (PCS). The first two have been successfully utilized in commercialized 3D Xpoint chips, serving as selector and memory cells, respectively. However, the relationships among these three behaviors remain unclear. Here, it is demonstrated that the Ge-Te binary system exhibits these three switching mechanisms. Specifically, the switching behavior transforms from PCS-like to OTS-like within the composition range from GeTe8 to GeTe6, while the shift from volatile (OTS) to non-volatile switching behavior (OMS) occurs between the compositions GeTe2 and GeTe. The PCS-to-OTS transition is primarily driven by enhancements in glass-forming ability, with the Turnbull parameter increasing from 0.58 to 0.6, and the crystallization temperature exceeding 145 °C, while the shift from OTS to OMS behavior is largely due to the significantly accelerated crystallization speed, from microseconds to nanoseconds. Most importantly, the GeTe16 PCS stands out, with a large ON current (0.6 mA), low leakage current (−8 A), high endurance (>6 × 109 cycles), and high-temperature back-end-of-line compatibility. The crystalline nature of this PCS material addresses the composition and toxicity issues in conventional OTS materials. Moreover, GeTe16 PCSs have been successfully integrated with GeTe OMSs, forming selector/memory arrays with a read margin of 0.4 V. These findings not only reveal the mechanisms underlying the volatile to non-volatile transition but also provide an alternative solution for high-density 3D memory, potentially replacing the OTS/OMS stack approach. © 2025 Wiley-VCH GmbH.

关键词： Phase change memory

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Class-conditional domain adaptation for semantic segmentation

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Computational Visual Media 2024年第5期10卷 1013-1030页

作者： Yue Wang Yuke Li James H.Elder Runmin Wu Huchuan Lu School of Information and Communication Engineering Dalian University of TechnologyDalian 116024China School of Computer Science Wuhan UniversityWuhan 430072China Department of Electrical Engineering and Computer Science York UniversityToronto M3J 1P3Canada Department of Computer Science the University of Hong KongHong Kong 999077China

Semantic segmentation is an important sub-task for many ***,pixel-level ground-truth labeling is costly,and there is a tendency to overfit to training data,thereby limiting the generalization *** domain adaptation can potentially address these problems by allowing systems trained on labelled datasets from the source domain(including less expensive synthetic domain)to be adapted to a novel target *** conventional approach involves automatic extraction and alignment of the representations of source and target domains *** limitation of this approach is that it tends to neglect the differences between classes:representations of certain classes can be more easily extracted and aligned between the source and target domains than others,limiting the adaptation over all ***,we address:this problem by introducing a Class-Conditional Domain Adaptation(CCDA)*** incorporates a class-conditional multi-scale discriminator and class-conditional losses for both segmentation and ***,they measure the segmentation,shift the domain in a classconditional manner,and equalize the loss over *** results demonstrate that the performance of our CCDA method matches,and in some cases,surpasses that of state-of-the-art methods.

关键词： domain adaptation generative adversarial networks semantic segmentation cityscapes

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Type-based useless-variable elimination

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Higher-Order and Symbolic Computation 2001年第2-3期14卷 221-260页

作者： Kobayashi, Naoki Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo 152-8552 Japan

Useless-variable elimination is a transformation that eliminates variables whose values does not affect the result of a computation. We present a type-based method for useless-variable elimination and prove its correctness. The algorithm is a surprisingly simple extension of the usual type-reconstruction algorithm. Our method has several attractive features. First, it is simple, so that the proof of the correctness is clear and the method can be easily extended to deal with a polymorphic language. Second, it is efficient: for a simply-typed λ-calculus, it runs in time almost linear in the size of an input expression. Moreover, our transformation is optimal in a certain sense among those that preserve well-typedness, both for the simply-typed language and for an ML-style polymorphically-typed language.

关键词： Program debugging

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Deep Learning Based Single Image Super-resolution:A Survey

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International Journal of Automation and computing 2019年第4期16卷 413-426页

作者： Viet Khanh Ha Jin-Chang Ren Xin-Ying Xu Sophia Zhao Gang Xie Valentin Masero Amir Hussain Department of Electronic and Electrical Engineering University of Strathclyde Glasgow G1 1XW UK College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China Department of Computer Systems and Telematics Engineering University of Extremadura Badajoz 06006 Spain School of Computing Edinburgh Napier University Edinburgh EH10 5DT UK School of Computer Science and Technology Anhui University Anhui 230039 China

Single image super-resolution has attracted increasing attention and has a wide range of applications in satellite imaging, medical imaging, computer vision, security surveillance imaging, remote sensing, objection detection, and recognition. Recently, deep learning techniques have emerged and blossomed, producing " the state-of-the-art” in many domains. Due to their capability in feature extraction and mapping, it is very helpful to predict high-frequency details lost in low-resolution images. In this paper, we give an overview of recent advances in deep learning-based models and methods that have been applied to single image super-resolution tasks. We also summarize, compare and discuss various models from the past and present for comprehensive understanding and finally provide open problems and possible directions for future research.

关键词： Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning

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