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1st International Conference on Artificial Intelligence and its Applications, ICAIA 2023

作者： Singh, Ramveer Kumar, Raj Singh, Anupam Vijay, Richa Khan, Rubina Liyakat Ather, Danish Department of CSE Galgotias College of Engineering and Technology Greater Noida India Faridabad India Department of Computer Science and Engineering Graphic Era Hill University Dehradun India Amity University Uttar Pradesh Noida India The Applied College Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Amity University in Tashkent Tashkent Uzbekistan

ISBN: (纸本)9783031843938

This paper presents an innovative approach to address traffic congestion and safety challenges in smart cities by leveraging Artificial Intelligence (AI)-driven Vehicular Ad-Hoc Networks (VANETs) within IoT-enabled transportation systems. The integration of AI algorithms, such as machine learning and deep learning, enables seamless communication among connected vehicles and IoT infrastructure. Real-time data analysis facilitates effective traffic flow control, congestion detection, and accident prediction at the same instance security and privacy concerns are addressed through robust solutions. The current work showcases simulations and case studies, highlighting significant improvements in traffic efficiency, reduced travel time, and enhanced transportation safety. The study emphasizes the transformative potential of AI-driven VANETs in creating intelligent transportation systems for future smart cities, fostering more sustainable and liveable urban environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Vehicular ad hoc networks

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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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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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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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Bamboo-Inspired Metamaterials Design: Microstructure Dielectrophoretic Orientation for Enhancing Insulation Performance of Advanced Power Modules

SSRN

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SSRN 2024年

作者： Yao, Huanmin Mu, Haibao Shen, Maoqun Cavallini, Andrea Li, He Zhao, Haoxiang Li, Wendong Zhang, Daning Zhang, Guanjun State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University Shaanxi 710049 China The Department of Electrical Electronic and Information Engineering "Guglielmo Marconi" University of Bologna Italy Department of Mathematics and Computer Science Eindhoven University of Technology Eindhoven5600MB Netherlands Department of Applied Physics Eindhoven University of Technology Eindhoven5600MB Netherlands

The application of nonlinear conductivity coatings in high-voltage power module is a promising strategy for significantly improving electrical insulation performance. The core of the improvement principle is that the nonlinear conductivity realizes a dynamic optimization of the discharge risk inside the material. The realization of this nonlinear conductivity requires sufficient microscopic arrangement of fillers that align with the macroscopic insulation structure. However, conventional methods fail at precise arrangement control so that typically require high filler concentration, which markedly increases dielectric loss and leakage current. Drawing inspiration from the bamboo structure, metamaterials offer an efficient tuning of nonlinear characteristics with lower filler concentrations through thoughtful design. In this context, we introduce a novel approach to fabricate SiC whisker / silicon elastomer metamaterial coatings leveraging the dielectrophoretic effect. Comprehensive testing of the physical and chemical properties of the composites confirmed the successful preparation of the material. And the metamaterial exhibits excellent nonlinear conductivity and low dielectric loss across various temperatures. Notably, after applying the metamaterial coating, the maximum electric field stress within the power module was reduced by nearly ten times, and the partial discharge inception voltage (PDIV) increased by 58.9%, 74.7%, and 32.8% at 30°C, 60°C, and 90°C, respectively. From solid physical mechanism to exquisite material design and practical device-level implementation, this study offers valuable insights into enhancing the insulation performance of power module and demonstrates substantial potential for further industrial applications. © 2024, The Authors. All rights reserved.

关键词： Dielectric losses

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A Study on Seizure Detection Performance in an Automated Process by Extracting Entropy Features

A Study on Seizure Detection Performance in an Automated Pro...

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International Conference on Signal Processing and Information Security (ICSPIS)

作者： Sricheta Parui Debasis Samanta Nishant Chakravorty Wathiq Mansoor Uttam Ghosh Advanced Technology Development Centre Indian Institute of Technology Kharagpur India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India School of Medical Science and Technology Indian Institute of Technology Kharagpur India University of Dubai Dubai United Arab Emirates Meharry School of Applied Computational Sciences Nashville TN USA

ISBN: (纸本)9781665492669

Millions of people of all ages have been diagnosed with epilepsy all over the world. Electroencephalography (EEG), a quantitative component, is vital in identifying and analyzing epileptic seizures. Manual EEG detection takes a long time and has serious consequences. To prevent this circumstance, the world needs alternative detection technologies. For more than a decade, several strategies and procedures have been used to assist medical doctors in detecting technological improvement. Numerous automated seizure identification frameworks that use machine learning approaches have recently been presented to replace traditional methodologies. However, because multichannel EEG data is unpredictable, selecting optimal channels as well as characteristics and classifying them remain unsolved issues. During automatic signaling, the gadget also emits a noisy signal, making detection and prediction challenging. In this paper, we have tested various entropy features and selected the best features to classify seizure patients. First, we preprocessed the data using IMF of the raw signal, and then entropy features were extracted to classify the epileptic patients. The proposed channel selection method, SVM-GA, works well with our framework and successfully removes redundant channels from the data.

关键词： Support vector machines Medical services Signal processing Feature extraction Entropy Electroencephalography Data mining

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A new approach to dealing with interval data in the TOPSIS method

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Procedia computer science 2022年 207卷 4545-4555页

作者： Aleksandra Kaczyńska Neeraj Gandotra Wojciech Sałabun Research Team on Intelligent Decision Support Systems Department of Artificial Intelligence and Applied Mathematics Faculty of Computer Science and Information Technology West Pomeranian University of Technology in Szczecin ul. Żołnierska 49 71-210 Szczecin Poland Yogananda School of AI Computers and Data Science Shoolini University Solan 173229 HP India

Dealing with uncertainty is a significant direction of contemporary research on decision support systems. Despite many sophisticated methods of dealing with uncertain data, such as fuzzy sets and their numerous generalizations, methods based on interval numbers are still very popular. This is because interval data are much less complex and easier to process, and they are also easier to determine. However, there is a research gap regarding whether such a simple approach can adequately model uncertainty. This paper proposes a new approach to handling interval data in the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method based on the cartesian product of boundaries. This approach is compared with the most popular extension proposed by Jahanshahloo. In this work, two study cases taken from the literature were analyzed. Finally, the results of both approaches were compared, and conclusions were drawn.

关键词： TOPSIS interval data decision-making MCDA

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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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Visibility Stokes parameters as a foundation for quantum information science with undetected photons

arXiv

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arXiv 2024年

作者： Kysela, Jaroslav Gräfe, Markus Fuenzalida, Jorge Vienna Austria Christian Doppler Laboratory for Photonic Quantum Computer Faculty of Physics University of Vienna Vienna Austria Institute for Applied Physics Technical University of Darmstadt Schloßgartenstraße 7 Darmstadt64289 Germany ICFO-Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Castelldefels Barcelona08860 Spain

The phenomenon of induced coherence without induced emission allows to reconstruct the quantum state of a photon that remains undetected. The state information is transferred to its partner photon via optical coherence. Using this phenomenon, a number of established quantum information protocols could be adapted for undetected photons. Despite partial attempts, no general procedure for such adaptation exists. Here we shed light on the matter by showing the close relation between two very dissimilar techniques, namely the quantum state tomography of qubits and the recently developed quantum state tomography of undetected photons. We do so by introducing a set of parameters that quantify the coherence and that mimic the Stokes parameters known from the polarization state tomography. We also perform a thorough analysis of the environment of undetected photons and its role in the reconstruction process. © 2024, CC BY.

关键词： Photons

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Directional Emission of a Readout Resonator for Qubit Measurement

arXiv

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arXiv 2024年

作者： Yen, Alec Ye, Yufeng Peng, Kaidong Wang, Jennifer Cunningham, Gregory Gingras, Michael Niedzielski, Bethany M. Stickler, Hannah Serniak, Kyle Schwartz, Mollie E. O’Brien, Kevin P. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Harvard John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States MIT Lincoln Laboratory LexingtonMA02421 United States

We propose and demonstrate transmission-based dispersive readout of a superconducting qubit using an all-pass resonator, which preferentially emits readout photons toward the output. This is in contrast to typical readout schemes, which intentionally mismatch the feedline at one end so that the readout signal preferentially decays toward the output. We show that this intentional mismatch creates scaling challenges, including larger spread of effective resonator linewidths due to non-ideal impedance environments and added infrastructure for impedance matching. A future architecture using multiplexed all-pass readout resonators would avoid the need for intentional mismatch and potentially improve the scaling prospects of quantum computers. As a proof-of-concept demonstration of "all-pass readout," we design and fabricate an all-pass readout resonator that demonstrates insertion loss below 1.17 dB at the readout frequency and a maximum insertion loss of 1.53 dB across its full bandwidth for the lowest three states of a transmon qubit. We demonstrate qubit readout with an average single-shot fidelity of 98.1% in 600 ns;to assess the effect of larger dispersive shift, we implement a shelving protocol and achieve a fidelity of 99.0% in 300 ns. Copyright © 2024, The Authors. All rights reserved.

关键词： Qubits

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