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International Symposium on applied Machine Intelligence and Informatics (SAMI)

作者： Khalil Ben Khaled Dönìz Borsos Jozsef Katona Kandó Kalmán Faculty of Electrical Engineering Institute of Microelectronics and Technology Obuda University Budapest Hungary Kándó Kálmán Faculty of Electrical Engineering Institute of Electronics and Communication Systems Obuda University Budapest Hungary Department of Software Development and Application Institute of Computer Engineering University of Dunaujvaros Dunaujvaros Hungary GAMF Faculty of Engineering and Computer Science John Von Neumann University Kecskemet Hungary Department of Applied Quantitative Methods Faculty of Finance and Accountancy Budapest Business University Budapest Hungary

ISBN: (数字)9798350379365

ISBN: (纸本)9798350379372

This study presents a comprehensive benchmarking analysis of cryptographic protocols for Internet of Things (IoT) malware defense. The framework was specifically tailored to evaluate cryptographic protocols such as AES-128, AES-256, ChaCha20, RSA (1024-bit, 2048-bit, and 4096-bit), SHA256, SHA512, and HMAC-SHA256 were tested in both standalone and emulated environments. The primary objective was to evaluate the performance and resource consumption of these protocols, focusing on their encryption and hashing efficiency. Key innovations include the comparative analysis of resource consumption and performance efficiency across diverse cryptographic operations, under both real-world and emulated conditions. By identifying protocols like ChaCha20 for high efficiency and minimal resource usage, and RSA 4096-bit for enhanced security at higher computational costs, this study provides actionable insights into the trade-offs between security and performance. These findings offer a foundational reference for selecting optimized cryptographic protocols, advancing IoT malware defense strategies through informed decision-making.

关键词： Performance evaluation Technological innovation Benchmark testing Malware Encryption Internet of Things Reliability Informatics Machine intelligence Cryptographic protocols

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Towards robust results in Multi-Criteria Decision Analysis: ranking reversal free methods case study 26

Towards robust results in Multi-Criteria Decision Analysis: ...

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26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022

作者： Wieckowski, Jakub Król, Robert Watróbski, Jaroslaw Research Team on Intelligent Decision Support Systems Department of Artificial Intelligence Methods and Applied Mathematics Faculty of Computer Science and Information Technology West Pomeranian University of Technology Szczecin ul. Zolnierska 49 Szczecin71-210 Poland Doctoral School of University of Szczecin ul. Mickiewicza 16 Szczecin70-383 Poland Institute of Management University of Szczecin ul. Cukrowa 8 Szczecin71-004 Poland

The practical capabilities of decision support systems are beneficial in many complex problems. They aim to equip the decision-maker with knowledge about the preferred choices from the set under consideration. Often, there are minor differences between the alternatives analyzed, making it necessary to determine whether changes in the parameters characterizing them can influence their final position. For this purpose, a sensitivity analysis of the solutions can be used to examine the resistance of the results to changes. In this paper, we address the problem of performing the sensitivity analysis using MCDA methods. Most studies focus on testing the sensitivity of rankings of popular methods. However, their main disadvantage is their susceptibility to the phenomenon of ranking reversal. It may distort the results obtained in a sensitivity analysis. Therefore, it is worth using methods resistant to the ranking reversal phenomenon for this purpose. The SPOTIS and COMET methods were used in a theoretical multi-criteria problem, where the calculated results were then subjected to sensitivity analysis. The study showed that the SPOTIS method tends to be more robust to the computed results. © 2022 The Authors. Published by Elsevier B.V.

关键词： Sensitivity analysis

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Cutting-Edge Communication: Integrated Satellite-Aerial 6G Networks for Point-to-Point Connectivity

Cutting-Edge Communication: Integrated Satellite-Aerial 6G N...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Keerthipati Kumar V Divya Vani Vijilius Helena Raj Amit Dutt Pankaj Kunekar Dilip Narayan Sahu Computer Science and Engineering SV College of Engineering Karkambadi Andhra Pradesh India Institute of Aeronautical Engineering Dundigal Hyderabad India Department of Applied Sciences New Horizon College of Engineering Bangalore Karnataka India Lovely Professional University Phagwara Punjab India Information Technology Vishwakarma Institute of Technology Pune Maharashtra India Department of MCA Gangadhar Meher University Odisha India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

Upcoming mobile networking will require wireless applications with global coverage and better data rates. Current diverse cellular systems like wireless and satellite systems are not able to satisfy these demands on their own in particularly remote places with mountains and seas. This paper uses transdisciplinary expertise, including domain knowledge of 6 G satellite communication, advanced NLP technology, and patent retrieval and analytic approaches, to identify the potential technological landscape and trends. Depending on the abovementioned objectives, this study offered an exhaustive evaluation of ISAC innovation for 6G ISTNs in this study. Initially, this investigation provided an outline of the main technologies, assessment criteria, and past development history of the ISAC. After that, a thorough discussion of the state of ISTN development was held, emphasizing integrated network topologies. Finally, we outline the key technologies and scenarios that could be implemented in the next generation of satellite-terrestrial ISAC.

关键词： 6G mobile communication Wireless communication Patents Wireless sensor networks Satellites Network topology Space-air-ground integrated networks Market research Satellite communications Next generation networking

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On Turán-type problems and the abstract chromatic number

arXiv

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arXiv 2024年

作者： Gerbner, Dániel Karim, Hilal Hama Kucheriya, Gaurav HUN-REN Alfréd Rényi Institute of Mathematics Hungary Department of Computer Science and Information Theory Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary Department of Applied Mathematics Charles University Prague Czech Republic

In 2020, Coregliano and Razborov introduced a general framework to study limits of combinatorial objects, using logic and model theory. They introduced the abstract chromatic number and proved/reproved multiple Erdős-Stone-Simonovits-type theorems in different settings. In 2022, Coregliano extended this by showing that similar results hold when we count copies of Kt instead of edges. Our aim is threefold. First, we provide a purely combinatorial approach. Second, we extend their results by showing several other graph parameters and other settings where Erdős-Stone-Simonovits-type theorems follow. Third, we go beyond determining asymptotics and obtain corresponding stability, supersaturation, and sometimes even exact *** Codes 05C35 © 2024, CC BY.

关键词： Number theory

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Evaluating the Impact of Different Routing Protocols on VANET Performance

Evaluating the Impact of Different Routing Protocols on VANE...

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International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Rubina Liyakat Khan Ramveer Singh Richa Vijay Raj Kumar Anupam Singh Danish Ather The Applied College. Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Department. of CSE Galgotias College of Engineering & Technology Greater Noida Amity University Noida Uttar Pradesh Department of Computer Applications Manav Rachna International Institute of Research and Studies (MRIIRS) Faridabad Department of Computer Science and Engineering Graphic Era hill University Dehradun Amity University in Tashkent Uzbekistan

Vehicular Ad Hoc Networks (VANETs) are the backbone of Intelligent Transportation Systems, aiming to enhance road safety, traffic efficiency, and comfort in driving. One of the critical factors influencing VANET performance is the routing protocol implemented. The current study evaluates the impact of three different routing protocols, i.e., Ad-hoc On-demand Distance Vector (AODV), Destination-Sequenced Distance Vector (DSDV), and Dynamic MANET On-demand (DYMO) on VANET performance in urban scenarios. Through comprehensive simulations using a realistic city scenario, we assess each protocol's performance based on several critical metrics such as packet delivery ratio, end-to-end delay, and network overhead. Our findings indicate significant differences in the performance of these protocols under various urban network conditions (AODV), being the best among all.

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Automated Bell Inequality Violation using Uncalibrated Fiber Squeezing Polarization Controllers

Automated Bell Inequality Violation using Uncalibrated Fiber...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Dowling, Evan Morris, Mark Baumgartner, Gerald Roy, Rajarshi Murphy, Thomas E. Inst. for Research in Electronics & Applied Physics University of Maryland College ParkMD20740 United States Dept. of Physics University of Maryland College ParkMD20740 United States Laboratory for Telecommunication Sciences College ParkMD20740 United States Inst. for Physical Science & Technology University of Maryland College ParkMD20740 United States Dept. of Electrical & Computer Engineering University of Maryland College ParkMD20740 United States

We experimentally report on a real-time self-guided method to search for maximal CHSH violations between two observers sharing polarization entangled photon pairs using uncalibrated piezoelectric fiber squeezers as po...

ISBN: (纸本)9781957171258

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THE ROLE OF SOCIAL MEDIA ON SELECTED BUSINESSES IN NIGERIA IN THE ERA OF COVID-19 PANDEMIC

arXiv

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arXiv 2023年

作者： Ihemebiri, Cajetan Ukwandu, Elochukwu Ofusori, Lizzy Olebara, Comfort Department of Applied Computing and Engineering Cardiff School of Technologies Cardiff Metropolitan University Cardiff United Kingdom School of Management Information Technology & Governance University of KwaZulu-Natal Westville Campus Durban South Africa Department of Computer Science Faculty of Physical Science Imo State University Imo State Owerri Nigeria

As several countries were experiencing unprecedented economic slowdowns due to the outbreak of COVID-19 pandemic in early 2020, small business enterprises started adapting to digital technologies for business transactions. However, in Africa, particularly Nigeria, COVID-19 pandemic resulted to some financial crisis that impacted negatively on the sustainability of small and medium-sized (SMEs) businesses. Thus, this study examined the role of social media on selected SMEs in Nigeria in the heat of the COVID-19 pandemic that led to several lock downs in a bid to curtail the spread of the virus. Cross-sectional survey research design was used alongside convenience population sampling techniques. The population was categorised based on selected SMEs businesses, while a quantitative research approach was adopted, and primary data were collected using a questionnaire. The questionnaires were administered to owners and operators of SMEs in Ikotun and Ikeja areas of Lagos State, Nigeria. A total of 190 questionnaires were distributed, where 183 usable responses were analysed. The findings of the study show that SMEs were aware of the usefulness of social media to their businesses as they largely leveraged it in conducting their businesses during the national lockdowns. The study recommended that labour/trade unions should sensitise and encourage business owners on the benefits of continuous use of social media in carrying out their business transactions. © 2023, CC BY-NC-SA.

关键词： COVID-19

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A PCA-based fuzzy tensor evaluation model for multiple-criteria group decision making

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applied Soft Computing 2023年 132卷

作者： Singh, Meenu Pant, Millie Kong, Lingping Alijani, Zahra Snášel, Václav Department of Applied Mathematics and Scientific Computing Indian Institute of Technology Roorkee Uttarakhand247667 India Mehta Family School of Data Science and Artificial Intelligence Indian Institute of Technology Roorkee Uttarakhand247667 India Faculty of Electrical Engineering and Computer Science VŠB-TU Ostrava Czech Republic Institute for Research and Applications of Fuzzy Modeling University of Ostrava 30. dubna 22 701 03 Ostrava Czech Republic

Multiple-criteria group decision-making (MCGDM) problems mainly consist of multiple factors and multiple Decision Makers (DMs) or Users, for which dimension extension is necessary when considering all the entries of DMs together. Tensor, a generalized form of a matrix, displays a multi-way array item, which is the most suitable and practical way to represent high-dimensional data without losing any information. In this paper, we first reduce the dimension through Principal Component Analysis (PCA), which helps consider the most-informative criteria. Then, we reintroduced the tensor as a fuzzy-form tensor for the MCGDM problem because of user information uncertainty. We choose Interval-valued Neutrosophic Fuzzy numbers (IVNFNs) as the basis for the tensor form because of their ability to distinguish between truth, indeterminacy, and falsity in the data. Lastly, a Generalized Interval-valued Neutrosophic Fuzzy Weighted Geometric (GIVNFWG) operator is defined. Moreover, a generalized framework for fuzzy-form tensors for high-dimensional MCGDM problems is proposed. The feasibility and efficiency of this proposed process is illustrated for a real-world MCGDM problem of ranking the most efficient Third Party Reverse Logistics Partners (3PRLPs), i.e., recycled fiber-based paper mills for the packaging industry. The obtained results are according to the experts and are validated using sensitivity analysis. This analysis facilitates in assessing the impact on the overall ranking performance of 3PRLPs by considering various combinations of environment and technological sub-criteria. © 2022 Elsevier B.V.

关键词： Principal component analysis

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Dynamic Determinants of AI-Based Innovation Management Practices and Sustainable FinTech: Application Preferences of AI-Innovators

Dynamic Determinants of AI-Based Innovation Management Pract...

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Contemporary Computing and Communications (InC4), IEEE International Conference on

作者： Manish Dadhich Preeti Yadav Abhineet Saxena Rakesh Kumar Birda Sumit Mathur Kamal Kant Hiran School of Management Sir Padampat Singhania University Udaipur India Amity Business School Amity University Rajasthan Jaipur India Government College Deshnok (VSY) Bikaner India Madhav University Abu Road Pindwara India School of Computer Science and Information Technology Symbiosis University of Applied Science Indore India

In the era of technological disruption, AI created enormous opportunities for the Fintech industry. This exploratory study comprises 325 AI-savvy innovation managers working in the FinTech industry who have an in-depth understanding of AI and innovation management. Different groups differ in strategy, organizational structure, skill-building, perceived potential, knowledge of desired changes, and corporate environments. The study found that implementation preferences, perceptual factors, and organizational factors greatly influence the promotion of AI-based innovation management systems. The study also established a model in which AI-based innovation management mediates selected manifest and sustainable FinTech. The study also concludes that AI creators may focus most of their efforts on link-building and management with companies outside their current networks. Given that innovation is occurring increasingly in open networks where the distinctions between enterprises, users, and start-ups are dissolving, FinTech businesses will need to work harder to become more open to the outside world to tackle the difficulties posed by AI. The study contributes to understanding AI-based innovation management, its influence on upcoming innovation practices, and differences in company AI goals and implementation strategies.

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Optimizing Customer Response Prediction in Auto Insurance: A Comparative Study of Machine Learning Models

Optimizing Customer Response Prediction in Auto Insurance: A...

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Cyber Resilience (ICCR), International Conference on

作者： Sanad Aburass Osama Dorgham Jamil Al Shaqsi Maha Abu Rumman Ahmed Al Zarouni Department of Computer Science Maharishi International University Fairfield Iowa USA School of Information Technology Skyline University College Sharjah United Arab Emirates Prince Abdullah bin Ghazi Faculty of ICT Al-Balqa Applied University Al-Salt Jordan Information Systems Department Sultan Qaboos University Muscat Oman

ISBN: (数字)9798350394962

ISBN: (纸本)9798350394979

This study examines various machine learning models to predict customer responses in the auto insurance industry. We focus on metrics like accuracy, precision, recall, and F1-score, carefully selecting threshold values to balance model performance with practical business applications. Our analysis reveals the XGB Classifier's superiority, achieving 99% accuracy and a 98% F1-score. We provide a comparative analysis of models, highlighting the XGB Classifier's strengths in handling complex data and its efficiency compared to other tested models, like Gaussian NB and Logistic Regression, which showed similar accuracies but varied in precision and recall. This study underscores the importance of choosing the right model and fine-tuning it for specific industry needs.

关键词： Industries Measurement Analytical models Insurance Predictive models Data models Automobiles

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