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Enhancing Healthcare Applications with Object-Oriented Generative Adversarial Networks

Enhancing Healthcare Applications with Object-Oriented Gener...

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6th international conference on Futuristic Trends in Networks and computing Technologies, FTNCT 2024

作者： Yadav, Tanuj Punhani, Ritu Hans, Swati Department of Information and Technology Amity University Uttar Pradesh Noida India Manav Rachna International Institute of Research and Studies Faridabad India

Integrating object-oriented programming (OOP) principles with Generative Adversarial Networks (GANs) presents a novel approach to advancing healthcare applications. While OOP and GANs emerge from distinct paradigms, they share common modularity, scalability, and efficiency goals. this research explores how combining these concepts can lead to more adaptive and robust healthcare solutions, particularly in medical imaging, synthetic data generation, and diagnostic systems. By leveraging OOP design patterns, GAN architectures can become more modular and maintainable, enhancing their application in healthcare. this paper demonstrates the benefits of applying structured software design to machine learning models through case studies and comparative analysis, fostering innovations that improve diagnostic accuracy and patient outcomes. Furthermore, it offers insights into the future of healthcare technology, highlighting the potential of OOP-GANs to drive purposeful and ethical advancements in medical AI. © 2025 the Author(s). Published by Elsevier B.V.

关键词： Generative adversarial networks

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Effective Mueller matrix analysis in VR systems using Ansys Zemax OpticStudio 6

Effective Mueller matrix analysis in VR systems using Ansys ...

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6th conference on Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality-AR, VR, MR

作者： Hsiao, Yihua Zhang, Ling Chen, Yuan Matsumoto, Takashi Morales, Angel Ishikawa, Takashi Ansys Japan KK Shinjuku Ku 18F6-10-1 Nishishinjuku Tokyo Japan Ansys China 20F Verdant PlNo. 128West Nan Jing Rd Shanghai Peoples R China Ansys Inc 2600 Ansys Dr Canonsburg PA 15317 USA

ISBN: (纸本)9781510686069;9781510686076

Polarization analysis is crucial for optimizing VR systems, reducing unwanted reflections, enhancing image clarity, and improving contrast under varied lighting conditions. Traditional methods in lens design focus on ideal polarization components, such as perfect linear polarizers, and lack the ability to analyze real-world imperfections. this study introduces a workflow integrated into Ansys Zemax OpticStudio, enabling the analysis of imperfect polarization conditions, such as 10% depolarization, to simulate the realistic impact of non-ideal polarizers on the overall optical system. By modeling these imperfections and generating corresponding Mueller matrix maps, the workflow provides a comprehensive view of polarization transformations across the system's field of view. the results demonstrate how this approach streamlines polarization analysis, supports precise control under realistic conditions, and facilitates the design of high-performance VR optical systems, advancing both theoretical understanding and practical applications.

关键词： Mueller Matrix Ansys Zemax OpticStudio Polarization Analysis Virtual Reality systems

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6th international Workshop on FPGAs for Software Programmers, FSP 2019, co-located with international conference on Field Programmable Logic and Applications, FPL 2019

6th International Workshop on FPGAs for Software Programmers...

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6th international Workshop on FPGAs for Software Programmers, FSP 2019, co-located with international conference on Field Programmable Logic and Applications, FPL 2019

ISBN: (纸本)9783800750467

the proceedings contain 7 papers. the topics discussed include: accelerating human activity recognition systems on FPGAs through a DSL approach;accelerating design convergence of automata processing designs with a tiled hierarchy;impact of off-chip memories on HLS-generated circuits;libGalapagos: a software environment for prototyping and creating heterogeneous FPGA and CPU applications;run-time performance monitoring of heterogeneous Hw/Sw platforms using PAPI;ZUCL 2.0: virtualized memory and communication for ZYNQ UltraScale+ FPGAs;and OpenCL design flows for Intel and Xilinx FPGAs: using common design patterns and dealing with vendor-specific differences.

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Channel Coding QoS Evaluation for 3GPP Sub-6GHz and mmWave 5G V2X Highway Communication systems 23

Channel Coding QoS Evaluation for 3GPP Sub-6GHz and mmWave 5...

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proceedings of the 7th international conference on algorithms, computing and systems

作者： Dimitrios Chatzoulis Costas Chaikalis Dimitrios Kosmanos Kostas E. Anagnostou George Karetsos Petros Lampsas Department of Digital Systems University of Thessaly Greece Department of Informatics & Telecommunications University of Thessaly Greece

ISBN: (纸本)9798400709098

Vehicle-to-everything (V2X) communications has gained a lot of interest in recent years and inevitably became part of the 5th-Generation New Radio (5G-NR) technologies, namely the sub-6GHz 5G and millimeter wave (mmWave) 5G. Also, the 3rd-Generation Partnership Project (3GPP) has defined reliability, end-to-end latency, data rate and range as the most important quality of service (QoS) parameters, which become crucial in highway propagation environments where the vehicles are moving at high speeds. these parameters are mostly improved by channel coding, which is a mechanism for limiting errors and improving the communication quality. therefore, in this paper, we investigate the impact of use of 4th-Generation Long-Term Evolution (4G-LTE) turbo codes, 5G-NR polar codes and low-density parity-check codes (LDPC) in 5G V2X highway propagation environments and analyze the QoS parameters for both sub-6GHz 5G and mmWave 5G technologies. Our analysis shows that turbo-based coding schemes can be a future candidate for small data frame 5G V2X highway communications, since they present superior performance in most of the aforementioned QoS parameters.

关键词： 4G-LTE 5G-NR LDPC LOS NLOSv V2X highway traffic implementation scenarios mmWave 5G polar codes stochastic V2X model sub6-GHz 5G turbo codes

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Scalable Multi-Level Synchronization Technique of Distributed Multi-RFSoC-Server systems for 6G

Scalable Multi-Level Synchronization Technique of Distribute...

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IEEE international SOC conference

作者： Christian Karle Marc Neu Benjamin Nuss Lukas Witte Andre Scheder Eva Waldner Ema Shkurtaj Tanja Harbaum Jürgen Becker Institute for Information Processing Technology Karlsruhe Institute of Technology Germany Institute of Radio Frequency Engineering and Electronics Karlsruhe Institute of Technology Germany Institute of Microwaves and Photonics Friedrich-Alexander-Universität Erlangen-Nürnberg Germany

ISBN: (数字)9798350377569

ISBN: (纸本)9798350377576

the new 6th generation (6G) standard promises increased data transmission rates and opens up entirely new application fields, such as joint-communication and sensing (JCAS). Modern high-performance multiple-input multiple-output (MIMO) systems with high bandwidth and channel count allow evaluation and testing of waveforms and algorithms in real-world scenarios. However, commercial off-the-shelf (COTS) MIMO systems are often costly and cannot be scaled to massive MIMO (mMIMO) systems without huge overhead. the ReLoDAQ system, based on combined radio frequency system-on-chip (RFSoC)-server architecture, offers a cost-effective and scalable solution for the development of a modern mMIMO system. However, this system is only scalable in terms of channel count and does not provide scalable synchronization and trigger mechanisms, which are essential for applications like JCAS or radar. In this paper, we present a scalable sample- and data-level synchronization and trigger mechanism to operate a mMIMO system based on the ReLoDAQ structure in a phase coherent manner. To achieve this, we extend the firmware of the RFSoCs with additional trigger and synchronization logic. Furthermore, we developed a scalable clock distribution network to distribute phase coherent clocks in the mMIMO system. through measurements on an experimental mMIMO system consisting of two RFSoCs and four servers, we demonstrate that our approach enables phase coherent operation across all channels in the mMIMO system based on the cost-efficient and scalable ReLoDAQ architecture.

关键词： 6G mobile communication Phase measurement Oscilloscopes System-on-chip Radar applications Synchronization Servers Logic Clocks Microprogramming

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Prediction on Customer's Purchasing Decision based on Machine Learning Classification and Regression Models

Prediction on Customer's Purchasing Decision based on Machin...

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Frontiers Technology of Information and Computer (ICFTIC), IEEE international conference on

作者： Minxing Wang International Joint Audit Institute Nanjing Audit University Nanjing China

ISBN: (数字)9798331541750

ISBN: (纸本)9798331541767

this study investigates whether users will place an order for a specific item on an e-commerce platform (using *** as a case study) based on the comprehensive consideration of all available information. U sing machine learning methods, it analyzes a wide range of related factors to predict purchasing decisions. the dataset is preprocessed and feature-engineered to train predictive models. Key algorithms, including Decision Tree, Random Forest, and Logistic regression, are used for classification tasks, with hyperparameter tuning to ensure optimal performance. In the study, the Random Forest model demonstrates remarkable performance, achieving an accuracy score of 0.999817 and an Area Under the Curve (AUC) of 0.9998, reflecting a high probability of precise predictions. Notably, the features with the most significant predictive contributions are identified as the product's coupon discount level and quantity discount level, collectively accounting for over 50% of the predictive power. this research contributes to the field of e-commerce analyses by offering a data-driven approach to understanding and predicting consumer behavior, with potential applications in personalized recommendations and marketing strategies.

关键词： Accuracy Computational modeling Refining Predictive models Real-time systems Electronic commerce Time factors Random forests Tuning Regression tree analysis

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proceedings of the 12th international conference on Security of Information and Networks, SIN 2019

Proceedings of the 12th International Conference on Security...

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12th international conference on Security of Information and Networks, SIN 2019

ISBN: (纸本)9781450372428

the proceedings contain 28 papers. the topics discussed include: managing influence in complex systems to ensure safety of their operation;forecasting complex multi-component time series within systems designed to detect anomalies in dataflows of industrial automated systems;combined authentication schemes with increasing level of resistance and methods for improving the security of electronic signature schemes;steganalysis method of static jpeg images based on artificial immune system;the use of machine learning algorithms for detecting advanced persistent threats;liveness detection methods implementation to face identification reinforcement in gaming services;and optimization of the cyber security system structure based on accounting of the prevented damage cost.

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An Approach of Optimisation in Last Mile Delivery 1

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18th international conference on Soft computing Models in Industrial and Environmental Applications, SOCO 2023

作者： Simić, Dragan Calvo-Rolle, José Luis Villar, José R. Ilin, Vladimir Simić, Svetislav D. Simić, Svetlana Faculty of Technical Sciences University of Novi Sad Trg Dositeja Obradovića 6 Novi Sad21000 Serbia Department of Industrial Engineering University of A Coruña Avda. 19 de Febrero S/N A Coruña Ferrol15405 Spain University of Oviedo Campus de Llamaquique Oviedo33005 Spain Faculty of Medicine University of Novi Sad Hajduk Veljkova 1–9 Novi Sad21000 Serbia

ISBN: (数字)9783031425363

ISBN: (纸本)9783031425356

Transport is the backbone of the economy aiming to move people and goods efficiently. the gross domestic product is collected from vehicle taxes, energy taxes, and taxes on fuel. On the other side, 25% of the CO2 emission of the whole transport sector comes from urban transport. Simultaneously, new technologies are developed and applied in real life, and E-commerce represents approximately 10% of the global retail landscape. Although home delivery is convenient for the customer, last mile delivery (LMD) poses significant logistical challenges for companies. the aim of this paper is to propose an approach to cost-optimal routing of a truck-and-drone system for LMD. the applied solution is an algorithm based on a combination of the combinatorial optimisation genetic algorithm. the experimental results demonstrate that it is possible to optimise last mail delivery and significantly reduce total distance for truck route and drone route. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Genetic algorithms

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6th international Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, ISNPP 2021

6th International Symposium on Software Reliability, Industr...

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6th international Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, ISNPP 2021

ISBN: (纸本)9789811911804

the proceedings contain 62 papers. the special focus in this conference is on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant. the topics include: Research on Sensitivity of Axial Inductive Displacement Sensors with Constant Flux for Magnetic Bearings;a Primary Review on Team Performance in Automated systems;Economic Analysis of PROFIBUS Fieldbus Control System in Conventional Island of Nuclear Power Plant;reliability Analysis of Tripping Solenoid Valve Power System Based on Dynamic Fault Tree and Sequential Monte Carlo;troubleshooting of Frequent False Alarms on Low-Low Speed of the Main Pump in Nuclear Power Plants;research on Switch Signal Transmission System Based on Optical Fiber;research on Transient Control Performance Improvement of Complex Control System in Nuclear Power Plant;analysis of the Influence of Decision Module Performance on Transient Events in Steam Generator Level Control;research on Fault Diagnosis Method of Bus Type Intelligent Electric Valve in Nuclear Power Plant;Cause Analysis and Improvement of Abnormal Triggering Event in Radiation Monitoring Channel of NPP;Discussion of Full Digital I&C System for AP1000;discuss on Consistency Evaluation of 1E Cable Accessories Products and Qualification Prototype of Nuclear Power Plant;discuss on Application of High Frequency Electro-magnetic Compatibility Test of Digital Instrument and Control Equipment in Nuclear Power Plant;fault Analysis of Frequency Converter of Main Pump in a Nuclear Power Plant in China;A Kind of Monitoring System for RGL in Nuclear Power Plant;study on Implementing Supplemental Human-System Interfaces in Highly-Integrated Control Room.

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A Deep Learning Solution Framework for Awareness, Diagnosing and Predicting COVID-19 6th

A Deep Learning Solution Framework for Awareness, Diagnosing...

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6th international conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021

作者： ElGohary, Rania Hisham, Ahmed Salama, Mohamed Selim, Yousef A. Yousef Abdelwahab, M.S. Artificial Intelligence Technology Center Misr University for Science and Technology 6th of October City Egypt Souad Kafafi Hospiatl Misr University for Science and Technology 6th of October City Egypt Computing Misr University for Science and Technology 6th of October City Egypt

ISBN: (纸本)9783030697167

Covid-19 pandemic changed our world as many people lost their jobs. Technology’s role is helping and facilitating our life, this role highlights situations like covid-19 virus pandemic. In this paper, we propose an innovative framework integrated with the latest machine learning techniques to assist of the covid-19 virus outbreak. the proposed framework provides three modules awareness and guidance for individuals through Chabot, diagnosis and prediction of COVID-19. the initial diagnosis for covid-19 using chest X-ray and predictions for covid-19 new cases. Moreover, the proposed framework has the potential to help citizens and national healthcare systems in curtailing the COVID-19 pandemic. the Chabot represent all the following: the symptoms, precautions and safety measures, early detection for COVID-19 cases using chest X-ray, predictions for covid-19 new cases to in light governments with the future of the pandemic. the proposed framework assist the decision makers to make improved decisions in quarantine and lock-down. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： COVID-19

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