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International Conference on Contemporary Computing and informatics (IC3I)

作者： Gaurav Srivastav Mamoon Rashid Richa Singh Anita Gehlot Neha Sharma Computer Science & Engineering Datta Meghe Institute of Higher Education & Research Maharastra India Department of Computer Engineering Faculty of Science & Technology Vishwakarma University Pune India Computer Science & Engineering Krishna Institute of Engineering & Technology Gaziabad India Uttaranchal Institute of Technology Uttaranchal University Dehradun Uttrakhand India Chitkara University Institute of Engineering and Technology Chitkara University Rajpura Punjab India

Breast cancer is one of the most common cancer types. This is the second-leading cause of cancer-related death in women. It ranked 2 nd according to available data lung cancers is the only one causing more causalities. It’s critical to receive a breast cancer diagnosis quickly. The MIAS data set is used in this study to examine machine learning-based categorization approaches used to study breast cancer. Important image data is fetched from mammograms. We choose eight distinct classifiers and assess each one’s precision, recall, accuracy, and F-score. The analysis’s findings were higher than 69.88%.

关键词： Support vector machines Machine learning algorithms Supervised learning Lung cancer Machine learning Muscles Feature extraction

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Observation of Su-Schrieffer-Heeger Topological Model Band Structure in Integrated LNOI Coupled Ring Cavities

Observation of Su-Schrieffer-Heeger Topological Model Band S...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Hiep X. Dinh Armandas Balcytis Tomoki Ozawa Yasutomo Ota Toshihiko Baba Satoshi Iwamoto Arnan Mitchell Thach G. Nguyen Integrated Photonics and Applications Centre RMIT University Melbourne VIC Australia Advanced Institute for Materials Research Tohoku University Sendai Japan Department of Applied Physics and Physico-Informatics Keio University Yokohama Japan Department of Electrical and Computer Engineering Yokohama National University Yokohama Japan Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan

We report synthetic frequency dimension Su-Schrieffer-Heeger model and its band structure observation using coupled ring cavities on an integrated photonic chip. Intra-cell and inter-cell couplings between hybridized ... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Structural rings Band structures Couplings Frequency modulation Scalability Electro-optic modulators Ring lasers

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Federated Learning for Privacy-Preserving Healthcare Data Analysis in the Age of Cybersecurity Threats 1

Federated Learning for Privacy-Preserving Healthcare Data An...

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1st International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023

作者： Sravan, P. Saranya, S. Deepika, N.M. Nijhawan, Ginni Alawadi, Ahmed Hussien M.v, Suresh Kumar School of Cs & Ai Sr University Telanagan Warangal India Dr. N.G.P. Institute of Technology Department of Computer Science and Engineering Coimbatore India Institute of Aeronautical Engineering Dundigal Hyderabad India Lovely Professional University Phagwara India The Islamic University Najaf Iraq Research Scholar College of Law Koneru Lakshmaiah Education Foundation Green Fields Andhra Pradesh Vaddeswaram Guntur522302 India

ISBN: (纸本)9798350330915

This examination explores joined picking up gathering appraisals, unequivocally United Averaging (FedAvg), Weighted Consolidated Averaging (FedAvg-W), Bound together Learning with Adaptable Learning Rate (FedAdapt), and Secure Combination for Brought Learning (SecAgg), inside the space of assertion saving clinical benefits data assessment. The reason for the organized assessments was to assess their performance in terms of accuracy, evidence coverage and communication speed. This article provides a comparative evaluation to help practitioners select the most appropriate algorithm for clinical reasoning applications. The results show that FedAvg-W achieves much higher accuracy than other algorithms especially when used in locations with varying data attributes implying that it can adapt to the changes. In relation to this, a method called FedAdapt mixes quickly while maintaining high accuracy by way of dynamically changing learning rate limits with respect to particular instances of distribution information. A secure aggregation framework based on homomorphic encryption guarantees exact compliance. The review provides subtle experiences into space-related works, such as health informatics and federated learning. On one hand, SecAgg fulfills a basic requirement for ensuring and preserving medical benefits data while on the other side, FedAdapt's flexibility concerns the anticipated scalability of clinical evaluation applications. © 2023 IEEE.

关键词： Federated Learning Healthcare Data Analysis Homomorphic Encryption Privacy Preservation

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Illuminating the x-Axis by α-Floodlights 32

Illuminating the x-Axis by α-Floodlights

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32nd International Symposium on Algorithms and Computation, ISAAC 2021

作者： Nilsson, Bengt J. Orden, David Palios, Leonidas Seara, Carlos Żyliński, Pawel Department of Computer Science and Media Technology Malmö University Sweden Physics and Mathematics Department Universidad Alcalá Spain Department of Computer Science and Engineering University of Ioannina Greece Departament of Mathematics Universitat Politècnica de Catalunya Barcelona Spain Institute of Informatics University of Gdańsk Poland

ISBN: (纸本)9783959772143

Given a set S of regions with piece-wise linear boundary and a positive angle α ◦, we consider the problem of computing the locations and orientations of the minimum number of α-floodlights positioned at points in S which suffice to illuminate the entire x-axis. We show that the problem can be solved in O(n log n) time and O(n) space, where n is the number of vertices of the set S. © Bengt J. Nilsson, David Orden, Leonidas Palios, Carlos Seara, and Pawel Żyliński.

关键词： Floods

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Internet of Things Assisted Remote Health and Safety Monitoring Scheme Using Intelligent Sensors

Internet of Things Assisted Remote Health and Safety Monitor...

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Advances in Computing, Communication and Applied informatics (ACCAI), International Conference on

作者： V. RamKumar S. Shanthi K. Suresh Kumar S. Kanageswari S. Mahalakshmi R. Anusuya Department of ECE R.M.K. Engineering College Chennai Department of ECE CARE College of Engineering Tiruchirappalli Department of MBA Panimalar Engineering College Chennai Department of Computer Science Loyola College Chennai Department of Computer Science and Design R.M.K Engineering College Chennai Department of CSE Modern Institute of Technology and Research Centre Alwar Rajasthan

The Internet of Things (IoT) in telemedicine creates an enormous data volume that must be processed, analyzed, and stored. Risk to one's health is no longer mitigated by one's chronological age, thanks to today's hectic schedules and unexpected ways of living. The Internet of Things has made it easier to provide continuous remote health checks on patients outside of the hospital or clinic, or even in their own homes. Detectors record data on a variety of patient health factors, and the Internet of Things saves and displays this data on a website that also allows for remote monitoring. When the potential of IoT technology is taken into consideration, the challenges that patients with physical instability have while trying to regularly contact a doctor in person can be circumvented. The microcontroller's role in this project is that of a data relay. This system presents a new method for health service activities by using sensors to monitor a person's vitals and the network to alert concerned family members or physicians in the case of an *** attached buzzer in the controller will sound when there is a change in detector output, alerting the career. A microcontroller is used to monitor the patient's condition; this controller communicates with an LCD display and a wireless LAN to send out alert messages. The patient's heart rate, blood pressure, and temperature will all be displayed in the cloud in instantaneously, and a warning will be sent to the physician via the Internet of Things if the sensor recognizes an abnormality. In order to comprehend how the sensors worked, a comprehensive analysis of the data was collected with regard to fluctuations in physical and environmental activity.

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An Exploratory Investigation into Sustaining Cybersecurity Protection Through the Implementation of SETA

An Exploratory Investigation into Sustaining Cybersecurity P...

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International Conference on Emerging Trends in Networks and computer Communications (ETNCC)

作者： Abdullah Mahfuzul Huda Mohammed Brayyich Noor Hanoon Haroon Abdul Azeem Khan Rajan Verma University Institute of Computing Chandigarh University Punjab India College of Computing and Informatics Saudi Electronic University Riyadh KSA College of Technical Engineering National University of Science & Technology Dhi Qar Iraq Department of Computer Technical Engineering Technical Engineering College Al-Ayen University Thi-Qar Iraq Faculty of Islamic Technology Negara Brunei Darussalam Division of Research and Development Lovely Professional University Phagwara KKR & KSR Institute of Technology & Sciences Guntur Andhra Pradesh

ISBN: (数字)9798350353266

ISBN: (纸本)9798350353273

Most modern businesses run their competitive operations online. Cybersecurity is crucial to commercial operations. No cybersecurity defensive solution is universal. Standard security strategy involves using hardware and software to counter known security threats that may become stronger over time. Attackers and security professionals fight constantly. A security approach based primarily on tools is untenable. However, some firms skip employee awareness training, resulting in biased cybersecurity breach decisions. This study objectively analyzes key factors that help enterprises and organizations deploy Security Education, Training, and Awareness (SETA) to find ways to maintain such protection. A dataset of UK corporate cybersecurity breach surveys is used to perform performance testing on eight supervised learning models. The entire research uses the model's built characteristics that are excellent at recognizing SETA-adopting enterprises and organizations. The trial shows that awareness is vital when organizations use SETA. Many firms don't know how to safeguard employees from cybersecurity risks when they use online products and services, such as external web services.

关键词： Training Surveys Radio frequency Analytical models Web services Standards organizations Information security computer security Protection Testing

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An algorithmic study in the vector model for wireless power transfer maximization

arXiv

引用

arXiv 2021年

作者： Katsidimas, Ioannis Nikoletseas, Sotiris Raptis, Theofanis P. Raptopoulos, Christoforos Institute of Informatics and Telematics National Research Council Pisa Italy Department of Computer Engineering and Informatics University of Patras Patras Greece Computer Technology Institute and Press Diophantus Patras Greece

Rapid technological advances in the domain of Wireless Power Transfer (WPT) pave the way for novel methods for power management in systems of wireless devices and recent research works have already started considering algorithmic solutions for tackling emerging problems. However, many of those works are limited by the system modelling, and more specifically the one-dimensional abstraction suggested by Friis formula for the power received by one antenna under idealized conditions given another antenna some distance away. Different to those works, we use a model which arises naturally from fundamental properties of the superposition of energy fields. This model has been shown to be more realistic than other one-dimensional models that have been used in the past and can capture superadditive and cancellation effects. Under this model, we define two new interesting problems for configuring the wireless power transmitters so as to maximize the total power in the system and we prove that the first problem can be solved in polynomial time. We present a distributed solution that runs in pseudo-polynomial time and uses various knowledge levels and we provide theoretical performance guarantees. Finally, we design three heuristics for the second problem and evaluate them via simulations. © 2021, CC BY-NC-ND.

关键词： Energy transfer

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Advances in lithium niobate photonics:development status and perspectives

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Advanced Photonics 2022年第3期4卷 40-82页

作者： Guanyu Chen Nanxi Li Jun Da Ng Hong-Lin Lin Yanyan Zhou Yuan Hsing Fu Lennon Yao Ting Lee Yu Yu Ai-Qun Liu Aaron J.Danner National University of Singapore Department of Electrical and Computer EngineeringSingapore A*STAR(Agency for Science Technology and Research)Institute of MicroelectronicsSingapore Huazhong University of Science and Technology School of Optical and Electronic InformationWuhan National Laboratory for OptoelectronicsWuhanChina Nanyang Technological University Quantum Science and Engineering CentreSingapore

Lithium niobate(LN)has experienced significant developments during past decades due to its versatile properties,especially its large electro-optic(EO)*** example,bulk LN-based modulators with high speeds and a superior linearity are widely used in typical fiber-optic communication ***,with everincreasing demands for signal transmission capacity,the high power and large size of bulk LN-based devices pose great challenges,especially when one of its counterparts,integrated silicon photonics,has experienced dramatic developments in recent *** long ago,high-quality thin-film LN on insulator(LNOI)became commercially available,which has paved the way for integrated LN photonics and opened a hot research area of LN photonics *** allows a large refractive index contrast,thus light can be confined within a more compact *** with other properties of LN,such as nonlinear/acousto-optic/pyroelectric effects,various kinds of high-performance integrated LN devices can be demonstrated.A comprehensive summary of advances in LN photonics is *** LN photonics has experienced several decades of development,our review includes some of the typical bulk LN devices as well as recently developed thin film LN *** this way,readers may be inspired by a complete picture of the evolution of this *** first introduce the basic material properties of LN and several key processing technologies for fabricating photonics *** that,various kinds of functional devices based on different effects are ***,we give a short summary and perspective of LN *** hope this review can give readers more insight into recent advances in LN photonics and contribute to the further development of LN related research.

关键词： lithium niobate etching photonics integrated optics nanotechnology devices.

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NTIRE 2023 Quality Assessment of Video Enhancement Challenge

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Liu, Xiaohong Min, Xiongkuo Sun, Wei Zhang, Yulun Zhang, Kai Timofte, Radu Zhai, Guangtao Gao, Yixuan Cao, Yuqin Kou, Tengchuan Dong, Yunlong Jia, Ziheng Li, Yilin Wu, Wei Hu, Shuming Deng, Sibin Xiao, Pengxiang Chen, Ying Li, Kai Zhao, Kai Yuan, Kun Sun, Ming Cong, Heng Wang, Hao Fu, Lingzhi Zhang, Yusheng Zhang, Rongyu Shi, Hang Xu, Qihang Xiao, Longan Ma, Zhiliang Agarla, Mirko Celona, Luigi Rota, Claudio Schettini, Raimondo Huang, Zhiwei Li, Ya'nan Wang, Xiaotao Lei, Lei Liu, Hongye Hong, Wei Chuang, Ironhead Lin, Allen Guan, Drake Chen, Iris Lou, Kae Huang, Willy Tasi, Yachun Kao, Yvonne Fan, Haotian Kong, Fangyuan Zhou, Shiqi Liu, Hao Lai, Yu Chen, Shanshan Wang, Wenqi Wu, Haoning Chen, Chaofeng Zhu, Chunzheng Guo, Zekun Zhao, Shiling Yin, Haibing Wang, Hongkui Meftah, Hanene Brachemi Fezza, Sid Ahmed Hamidouche, Wassim Déforges, Olivier Shi, Tengfei Mansouri, Azadeh Motamednia, Hossein Bakhtiari, Amir Hossein Aznaveh, Ahmad Mahmoudi Shanghai Jiao Tong University China Eth Zürich Switzerland University of Würzburg Germany Department of Tao Technology Alibaba Group China Kuaishou Technology China Interactive Entertainment Group of Netease Inc Guangzhou China Transsion China Hefei University of Technology China Department of Informatics Systems and Communication University of Milano - Bicocca Italy Xiaomi Inc. China China Ji Liang University China FreeTech Advanced Research Center KKCompany Taiwan ByteDance China Mgtv China Fuzhou University China Shopee Information Technology Co. Ltd. S-Lab Nanyang Technological University Singapore Hunan University China Hangzhou Dianzi University China Insa Rennes Cnrs Ietr - Umr 6164 Rennes France National Higher School of Telecommunications and Ict Oran Algeria Buaa Department of Electrical and Computer Engineering Faculty of Engineering Kharazmi University Tehran Iran High Performance Computing Laboratory School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran Cyberspace Research Institute Shahid Beheshti University Tehran Iran

ISBN: (纸本)9798350302493

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2023. This challenge is to address a major challenge in the field of video processing, namely, video quality assessment (VQA) for enhanced videos. The challenge uses the VQA Dataset for Perceptual Video Enhancement (VDPVE), which has a total of 1211 enhanced videos, including 600 videos with color, brightness, and contrast enhancements, 310 videos with deblurring, and 301 deshaked videos. The challenge has a total of 167 registered participants. 61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions. A total of 176 submissions were submitted by 37 participating teams during the final testing phase. Finally, 19 participating teams submitted their models and fact sheets, and detailed the methods they used. Some methods have achieved better results than baseline methods, and the winning methods have demonstrated superior prediction performance. © 2023 IEEE.

关键词： Image enhancement

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Visualizing Quantum Circuit Probability estimating computational action for quantum program synthesis

arXiv

引用

arXiv 2023年

作者： Bach, Bao Gia Kundu, Akash Acharya, Tamal Sarkar, Aritra Faculty of Computer Science and Engineering Ho Chi Minh City University of Technology Viet Nam Viet Nam Joint Doctoral School Silesian University of Technology Gliwice Poland Institute of Theoretical and Applied Informatics Polish Academy of Sciences Gliwice Poland Independent Researcher Bengaluru India Quantum Machine Learning Research group Quantum Computing Division QuTech Netherlands Quantum Intelligence Research team Department of Quantum & Computer Engineering Delft University of Technology Netherlands

This research applies concepts from algorithmic probability to Boolean and quantum combinatorial logic circuits. A tutorial-style introduction to states and various notions of the complexity of states are presented. Thereafter, the probability of states in the circuit model of computation is defined. Classical and quantum gate sets are compared to select some characteristic sets. The reachability and expressibility in a space-time-bounded setting for these gate sets are enumerated and visualized. These results are studied in terms of computational resources, universality and quantum behavior. The article suggests how applications like geometric quantum machine learning, novel quantum algorithm synthesis and quantum artificial general intelligence can benefit by studying circuit probabilities. © 2023, CC BY-NC-SA.

关键词： Machine learning

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