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33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023

作者： MacDonald, Kincaid Bhaskar, Dhananjay Thampakkul, Guy Nguyen, Nhi Zhang, Joia Perlmutter, Michael Adelstein, Ian Krishnaswamy, Smita Yale University Department of Mathematics United States Pomona College Department of Mathematics United States University of Washington Department of Statistics United States Boise State University Department of Mathematics United States Yale University Department of Computer Science United States Yale University Applied Mathematics Program United States Yale University Computational Biology and Bioinformatics Program United States

ISBN: (纸本)9798350324112

We consider the problem of embedding point cloud data sampled from an underlying manifold with an associated flow or velocity. Such data arises in many contexts where static snapshots of dynamic entities are measured, including in high-throughput biology such as single-cell transcriptomics. Existing embedding techniques either do not utilize velocity information or embed the coordinates and velocities independently, i.e., they either impose velocities on top of an existing point embedding or embed points within a prescribed vector field. Here we present FlowArtist, a neural network that embeds points while jointly learning a vector field around the points. The combination allows FlowArtist to better separate and visualize velocity-informed structures. Our results, on toy datasets and single-cell RNA velocity data, illustrate the value of utilizing coordinate and velocity information in tandem for embedding and visualizing high-dimensional data. © 2023 IEEE.

关键词： RNA

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Question Classification of University Admission using Named-Entity Recognition (NER) 10

Question Classification of University Admission using Named-...

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10th International Conference on Information Technology, computer, and Electrical Engineering, ICITACEE 2023

作者： Yossy, Emny Harna Suhartono, Derwin Trisetyarso, Agung Budiharto, Widodo Bina Nusantara University Computer Science Department BINUS Graduate Program Computer Science Jakarta11480 Indonesia Bina Nusantara University Computer Science Department School of Computer Science Jakarta11480 Indonesia Bina Nusantara University Mathematics Department School of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9798350322729

The university admission process can be overwhelming for applicants and admission officers, with many questions being asked and answered every year. The manual classification of these questions can be time-consuming and may lead to errors, making exploring automated solutions to this problem essential. In recent years, advances in natural language processing (NLP), including question classification. The research proposes an architecture for a question classification system using the Indonesian Language in closed-domain question answering. The purpose of this research is to find out the classification of questions. We created a system with the Named-Entity Recognition method to recognize the next word that will be used as a candidate type of question and candidate answer. The type of question used is a factoid question. Research makes patterns and rules for extracting important words as features to determine the taxonomy of question classification. Datasets are collected from one private university in Indonesia. Data sources from Binus Online Learning websites and data on questions frequently asked by users, especially prospective students. The results of the question classification are presented using descriptive statistics. The results show that the question classification with users' most frequent question type is 'What' by 63.3%, and the answer category is 'tuition fees' by 22.4%. It can be concluded that the most frequent question type asked by users is 'What', and the most frequent topic of interest is 'tuition fees'. Organizations can use this information to improve customer service by providing more relevant information and resources about tuition fees. © 2023 IEEE.

关键词： Natural language processing systems

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THE INCLUSION-EXCLUSION PRINCIPLE AND RECURRENCES FOR PARTITION NUMBERS

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UPB Scientific Bulletin, Series A: applied mathematics and Physics 2025年第1期87卷 97-106页

作者： Ballantine, Cristina Merca, Mircea Department of Mathematics and Computer Science College of The Holy Cross WorcesterMA01610 United States Department of Mathematical Methods and Models Fundamental Sciences Applied in Engineering Research Center National University of Science and Technology Politehnica Bucharest BucharestRO-060042 Romania Academy of Romanian Scientists BucharestRO-050044 Romania

The inclusion-exclusion principle together with Legendre type theorems for number of distinct restricted partitions weighted by the parity of their length are used to give several recurrence relations for restricted partition numbers as well as for overpartition numbers. In the case of overpartitions, POD partitions and 3-color partitions, we give combinatorial proofs for the Legendre type theorems and arrive to combinatorial proofs for the recurrence relations. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Combinatorial mathematics

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Exploring Contrastive Learning Neural-Congruency on EEG Recording of Children with Dyslexia 37

Exploring Contrastive Learning Neural-Congruency on EEG Reco...

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37th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024

作者： Christoforou, Christoforos Torres, Jacqueline M. Papadopoulos, Timothy C. Theodorou, Maria Division of Computer Science Mathematics and Science St. John’s University NY United States Department of Psychology Center for Applied Neuroscience University of Cyprus Nicosia Cyprus

Electroencephalogram (EEG) recordings of children are often used to study the underlying neural basis of causal factors of reading disorders and dyslexia. However, the inter-subject variability in EEG and the unconstrained nature of reading experiments used to elicit these factors made it challenging for traditional EEG analysis methods to extract neural components of these factors. In this work, we aim to explore the use of novel deep neural network architectures and contrastive learning methods to overcome the methodological limitations of traditional techniques and enhance the extraction process of neural components during reading tasks. Notably, we formulate a neural network architecture to extract EEG embedding using contrastive loss that maximizes the neural congruency in non-dyslexic children compared to children with dyslexia. We plan to evaluate our approach on three EEG datasets involving children with dyslexia performing Rapid Automatized Naming (RAN) and Phonological Processing (PA) tasks. The proposed contrastive learning framework will provide an enhanced tool to facilitate studying the neural underpinnings of naming speed and their association with reading performance and related difficulties. Copyright © 2024 by the authors.

关键词： Electroencephalography

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An Efficient Three-Party Authenticated Key Exchange Procedure Using Chebyshev Chaotic Maps with Client Anonymity

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computers, Materials & Continua 2023年第6期75卷 5337-5353页

作者： Akshaykumar Meshram Monia Hadj Alouane-Turki N.M.Wazalwar Chandrashekhar Meshram Department of Applied Mathematics Yeshwantrao Chavan College of EngineeringNagpur441110MaharashtraIndia Department of Statistics Rashtrasant Tukadoji Maharaj Nagpur UniversityNagpur440033MaharashtraIndia Department of Computer Science College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Post Graduate Studies and Research in Mathematics Jaywanti Haksar Government Post-Graduate CollegeCollege of Chhindwara UniversityBetul460001Madhya PradeshIndia

Internet of Things(IoT)applications can be found in various industry areas,including critical infrastructure and healthcare,and IoT is one of several technological *** a result,tens of billions or possibly hundreds of billions of devices will be linked *** smart devices will be able to gather data,process it,and even come to decisions on their *** is the most essential thing in these *** IoT infrastructure,authenticated key exchange systems are crucial for preserving client and data privacy and guaranteeing the security of data-in-transit(e.g.,via client identification and provision of secure communication).It is still challenging to create secure,authenticated key exchange *** majority of the early authenticated key agreement procedure depended on computationally expensive and resource-intensive pairing,hashing,or modular exponentiation *** focus of this paper is to propose an efficient three-party authenticated key exchange procedure(AKEP)using Chebyshev chaotic maps with client anonymity that solves all the problems mentioned *** proposed three-party AKEP is protected from several *** proposed three-party AKEP can be used in practice for mobile communications and pervasive computing applications,according to statistical experiments and low processing *** protect client identification when transferring data over an insecure public network,our three-party AKEP may also offer client ***,the presented procedure offers better security features than the procedures currently available in the literature.

关键词： Client anonymity Chebyshev chaotic maps authenticated key exchange statistical experiment Galois fields

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Quaternion-Based Single-Phase Full Bridge VSI Control for Compensation of Voltage Variation and Harmonic Distortion 25

Quaternion-Based Single-Phase Full Bridge VSI Control for Co...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Nos, Oleg V. Nos, Aleksey O. Department of Industrial Machinery Design Novosibirsk State Technical University Novosibirsk Russia Applied Mathematics and Computer Science Department Novosibirsk State Technical University Novosibirsk Russia

ISBN: (纸本)9798350389234

Nowadays, many control methods for single-phase voltage source inverter in standalone mode have been proposed for high-quality AC power generation with low output voltage distortion. However, most control strategies require high computational costs and large memory due to significant amount of computation. To overcome this hurdle, the paper presents a novel control scheme in quaternion domain based on conventional voltage proportional-integral controllers in which all differences (errors) between the ideal and actual instantaneous voltage behaviors are compensated. This has been achieved through decomposing the voltage quaternion in such a fashion that a single-phase output inverter voltage can be split into pure sinusoidal quaternion at fundamental frequency and another pure non-sinusoidal quaternion. The paper also describes various techniques for Clarke-Park transformation implementation for AC single-phase system through fictitious orthogonal signal generation as well as the quaternion-based inverter control architecture using 4D hyper-complex space. Simulation results have been verified feasibility and effectiveness of the proposed control strategy under nonlinear loading scenario. © 2024 IEEE.

关键词： Harmonic distortion

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Secure Watermarking Scheme for Color DICOM Images in Telemedicine Applications

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computers, Materials & Continua 2022年第2期70卷 2525-2542页

作者： Kamred Udham Singh Hatem Salem Abu-Hamatta Abhishek Kumar Achintya Singhal Mamoon Rashid A.K.Bashir Department of Computer Science and Information Engineering National Cheng Kung UniversityTainanTaiwan Department of Applied Sciences Aqaba University CollegeAl Balqa Applied UniversityAqabaJordan School of Computer Science&IT JAIN(to be Deemed University)BangaloreIndia Department of Computer Science Banaras Hindu UniversityVaranasiIndia Department of Computer Engineering Faculty of Science and TechnologyVishwakarma UniversityPune411048India Department of Computing and Mathematics ManchesterMetropolitan UniversityUK

Teleradiology plays a vital role in the medical field,which permits transmitting medical and imaging data over a communication *** ensures data reliability and provides convenient communication for clinical interpretation and diagnostic *** transmission of this medical data over a network raises the problems of legal,ethical issues,privacy,and copyright *** copyright protection of medical images is a significant issue in the medical *** schemes are used to address these issues.A gray-level or binary image is used as a watermark frequently in color image watermarking *** this paper,the authors propose a novel non-blind medical image watermarking scheme based on 2-D LiftingWavelet Transform(LWT),Multiresolution Singular Value Decomposition(MSVD),and LU factorization to improve the robustness and authenticity of medical *** this scheme,multiple color watermarks are embedded into the colored DICOM(Digital Imaging and Communications inMedicine)images obtained from Color Doppler images(DICOM format),and the average results achieved by our proposed scheme is 46.84 db for Peak Signal-to-Noise Ratio(PSNR),37.46 db for Signal-to-Noise Ratio(SNR),0.99 for Quality of Image and 0.998 for Normalized Correlation for various image processing *** results make our watermarking technique an ideal candidate for medical image watermarking.

关键词： Digital imaging medicine multiresolution medical image watermarking

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Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer

Improving Transfer Learning and Domain Adaptation in Smart H...

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2024 International Conference on Frontiers of Information Technology, FIT 2024

作者： Attaullah, Hasina Kiani, Anum Jungeblut, Thorsten Faculty of Eng. and Mathematics Uni. of Applied Sciences and Arts Bielefeld Germany Department of Computer Science Rawalpindi Women University Rawalpindi Pakistan

ISBN: (纸本)9798331510503

The advent of smart home technologies has opened new avenues for personalized healthcare, energy management, and enhanced convenience. However, variations in resident behavior, sensor types, and home layouts cause domain shifts, posing significant challenges to the deployment of machine learning models across diverse smart home environments. This paper describes a new method that uses domain adaptation layers in a transfer learning framework to change domain-specific features on the fly. This makes cross-data set generalization better. We compare the proposed method against Standard Transfer Learning, Domain-Adversarial Neural Networks (DANN), and Correlation Alignment (CORAL) using multiple smart home data sets. Our evaluation demonstrates that the proposed method significantly outperforms these existing approaches in terms of predictive performance, highlighting its effectiveness in addressing domain shifts in smart home environments. © 2024 IEEE.

关键词： Smart homes

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Mathematical model of COVID-19 dynamics in the presence of multiple controls

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Quality and Quantity 2024年第1期59卷 261-290页

作者： Akanni, J.O. Fatmawati Ajao, S. Asamoah, J.K.K. Abimbade, S.F. Department of Mathematical and Computing Sciences Koladaisi University Oyo State Ibadan Nigeria Department of Mathematics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia Department of Mathematics and Computer Science Elizade University Ondo State Ilara-Mokin Nigeria Department of Mathematics Saveetha School of Engineering SIMATS Chennai India Department of Mathematics Kwame Nkrumah University of Science and Technology Kumasi Ghana Department of Pure and Applied Mathematics Ladoke Akintola University of Technology Oyo State Ogbomoso Nigeria

The coronavirus disease 19 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2), is an infectious disease constituting the most significant challenge to human and socio-economic development across the globe. Many studies have been conducted to gain more knowledge on the dynamic spread of SARS-COV-2 in the community of people. In this study, a new mathematical model made up of a system of non-linear ODEs is designed and meticulously analyzed to understand the dynamics of transmission of COVID-19. Specific necessary properties exhibited by the COVID-19 model are examined through the theory of non-negativity and boundedness of solutions. The threshold parameter measuring the invasion potential of COVID-19 in the population is worked out by employing the Next Generation Matrix approach. The model is shown to have two endemic equilibria whenever basic reproduction number R₀<1. The analysis of the endemic equilibrium stability is explored using a suitably constructed Lyapunov function. It is shown that the COVID-19 model is globally asymptotically stable whenever the associated basic reproduction number is beyond unity. The Latin Hypercube Sampling or Partial Rank Correlation Coefficient is utilized to examine how parameter changes affect the COVID-19 spread in the population. Furthermore, the study considers six optimal control interventions to flatten the curve of the coronavirus pandemic in society. Numerical experiments of the COVID-19 model are executed in MatLab to corroborate the qualitative analysis of the model. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： 49J15 cost-effectiveness analysis COVID-19 Dynamical system LHS/PRCC Mathematical modelling Optimal control analysis Sensitivity analysis

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Time-Consistency in Dynamic Cooperative Games with Multiple Trajectories 1

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8th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2024

作者： Li, Zekun Li, Yin Qiao, Wenwen Cheng, Wantong Department of Applied Mathematics and Process Control Saint Petersburg State University Saint Petersburg Russia School of Mathematics Harbin Institute of Technology Harbin China School of Mathematics and Computer Science Yanan University Yanan China

ISBN: (数字)9783031776885

ISBN: (纸本)9783031776878

This paper considers the time consistency of multistage cooperative games in which there are multiple optimal trajectories with complete information. In dynamic cooperative games, an important condition for the distribution of players’ payoffs is that individual rationality needs to be satisfied. If the players’ payoffs do not satisfy individual rationality as the game progresses along the cooperative trajectory, some players will deviate from the cooperative trajectory. If there are multiple optimal trajectories in the multistage game, the situation is further complicated by the fact that the players’ payoffs always satisfy individual rationality on some of the optimal trajectories, but not on others. Alternatively, players’ individual rationality conditions are quite different along different optimal trajectories. Therefore, four different scenarios of multi-stage cooperative games with multiple optimal trajectories are set up in the study and analysed for each of the four different situations. Four different Payoff Distribution Procedure (PDP) formulations are proposed to modify the players’ payoff distributions so that the game satisfies time-consistency on different optimal trajectories. Several theorems are given, and proofs are provided, with corresponding examples. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Multiple optimal trajectories Multistage cooperative games Time consistency

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