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1st International Conference on Emerging Technologies for Dependable Internet of Things, ICETI 2024

作者： Al-Hagree, Salah Alalayah, Khaled M. Alnahdi, Mohammed Alhomdy, Marwan Alawdi, Ala'a Alhamami, Khaled Alsaiari, Faraj Computer Science Department Faculty of Computer and Information Technology Sana’a University Yemen Computer Science Department Faculty of Sciences Ibb University Yemen Aljazeera University Yemen Applied College Imam Abdurahman Bin Faisal University Saudi Arabia Department of Computer Science College of Science and Arts Najran University Sharurah Saudi Arabia

ISBN: (纸本)9798331533557

Early diagnosis plays a critical role in preventing severe complications and fatalities associated with kidney disease, especially in regions like Saudi Arabia, where healthcare access may be limited. Prompt identification of the disease can significantly mitigate its severity and enhance patient outcomes. This study introduces an intelligent system for early kidney disease diagnosis utilizing machine learning (ML) models. We conducted a comparative analysis of various models, such as Random Forest (RF), Logistic Regression (LR), Support Vector Classifier (SVC), Gradient Boosting (GB), K-Nearest Neighbor (KNN), and Decision Tree (DT), with the SVC model achieving the highest accuracy of 72.00%. RF and KNN closely followed with 68.00% accuracy each, while the DT model, despite its interpretability benefits, achieved an accuracy of 56.00%. The interpretability of the DT model could be particularly advantageous in healthcare diagnostics where transparency is crucial. RF exhibited the highest precision at 0.71, proving effective in reducing false positives. The proposed system presents a promising solution for improving early kidney disease diagnosis and could be seamlessly integrated into mobile platforms, offering practical real-world applications for healthcare professionals and patients, especially in underserved areas. © 2024 IEEE.

关键词： Intelligent systems

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Hadron physics results at KLOE-2 experiment 10

Hadron Physics results at KLOE-2 experiment

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10th International Workshop on Chiral Dynamics, CD 2021

作者： del Rio, Elena Perez Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University S. Lojasiewicza 11 Kraków30-348 Poland

KLOE and KLOE-2 data (almost 8 fb−1) constitute the largest sample ever collected at an electron-positron collider operating at the φ peak resonance. In total it corresponds to the production of about 24 billion of φ mesons whose decays include about 8 billion pairs of neutral K mesons and 300 million η mesons. A wide hadron physics program, investigating rare meson decays, γ − γ interaction, dark forces and hadronic cross section, is thus carried out by the KLOE-2 Collaboration. The latest results and present analysis of the KLOE-2 collaboration are presented. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Hadrons

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Typhoon Track Image Prediction Using a Comprehensive LSTM Attention Model in Deep Learning 4

Typhoon Track Image Prediction Using a Comprehensive LSTM At...

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4th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2024

作者： Jiang, Yiping Yu, Yi Ma, Yuelong Zhuang, Jiahao Ye, Xianze Yuan, Yifeng Su, Guanpeng Guangdong University of Science and Technology School of Computer Science Guangdong Dongguan China University of Macau Faculty of Science and Technology Fst China South China Normal University School of Information and Optoelectronic Science and Engineering Guangdong Guangzhou China Macao Polytechnic University Faculty of Applied Sciences China Zhuhai College of Science and Technology School of Computer Guangdong Zhuhai China

ISBN: (纸本)9798350394375

Typhoons are exceptionally destructive tropical cyclones that possess the capacity to inflict significant harm upon society. For institutions engaged in risk assessment and disaster mitigation, accurately forecasting typhoon paths and trajectories is of paramount importance. In this study, we propose a Typhoon Track Image Prediction model based on a Comprehensive Long Short-Term Memory (LSTM) Attention Model in the field of Deep Learning. This model significantly improves the accuracy of typhoon track prediction. To assess its performance, we utilize typhoon data from the China Typhoon Network spanning from 1949 to 2022. The Comprehensive LSTM Attention Model is compared against other popular models such as Temporal Convolutional Networks (TCN), traditional LSTM, and Seq2Seq models for forecasting the typhoon track over a 12-hour period. The results demonstrate the superiority of our proposed model, showcasing its effectiveness in terms of superior accuracy in typhoon track prediction. © 2024 IEEE.

关键词： Long short-term memory

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A Comparative Study of LSTM, GRU, BiLSTM and BiGRU to Predict Dissolved Oxygen 20

A Comparative Study of LSTM, GRU, BiLSTM and BiGRU to Predic...

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20th International Joint Conference on computer science and Software Engineering, JCSSE 2023

作者： Putpuek, Narongsak Putpuek, Apiradee Sungthong, Apichart Rajabhat Rajanagarindra University Faculty of Science and Technology Department of Information Technology Chachoengsao Thailand Rajabhat Rajanagarindra University Faculty of Science and Technology Department of Applied Physics Chachoengsao Thailand

ISBN: (纸本)9798350300505

In aquaculture, dissolved oxygen (DO) levels affect fish growth and survival. Automated monitoring and prediction of DO is challenging and becomes expensive if unnecessary sensors are used. This study aims to identify the optimal water and environmental parameters for DO prediction. Data from the fishpond station of Rajabhat Rajanagarindra University were pre-processed and used for training using LSTM, GRU, BiLSTM, and BiGRU. The performance of the models was evaluated and contrasted using three error measures. The results showed that GRU gave the best performance compared to the other models. In conclusion, the best parameters for DO prediction are water pH and water temperature. © 2023 IEEE.

关键词： Long short-term memory

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Impact of Time Resolution and Window Length on the Capture of Frequency Variations and Events

Impact of Time Resolution and Window Length on the Capture o...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Polajžer, Boštjan Mohammadi, Younes Saremi, Amin University of Maribor Faculty of Electrical Engineering and Computer Science Maribor Slovenia Umeå University Department of Applied Physics and Electronics Umeå Sweden

ISBN: (纸本)9789531842976

Power-quality standards provide limited guidance on frequency quality for short time scales, such as less than one hour. Capturing frequency variations and events requires high time resolutions, e.g., 0.1 seconds or less, resulting in significant data storage requirements. However, power-quality monitors typically report averaged values at intervals of 10 minutes, 15 minutes, or one hour, depending on the disturbance type. To address these challenges, we propose calculating statistic indices from high-resolution data within a 15-minute or one-hour window length, thus avoiding storing high-resolution data. We apply the basic statistic indices to frequency data measured in Finland for a single day in June 2023, demonstrating their effectiveness in capturing frequency variations and two significant events during that day. © 2024 IEEE.

关键词： Time measurement

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Design and fabrication of photovoltaics based on MFS (Ag/BaTiO3/silicon p-type) structure

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Materials science for Energy Technologies 2024年第1期7卷 29-34页

作者： Irzaman Dahrul, M. Rahmani, M. Rukyati, A.M. Samsidar Nurhidayah Deswardani, F. Peslinof, M. Jenie, R.P. Iskandar, J. Wahyuni, Y. Priandana, K. Siskandar, R. Department of Physics Faculty of Mathematics and Natural Sciences IPB University Bogor16680 Indonesia Department of Physics Faculty of Sciences and Technology Jambi University Jambi36361 Indonesia Department of Nutrition Faculty of Health Science and Technology Binawan University East Jakarta13630 Indonesia Department of Computer Engineering Pakuan University Bogor16142 Indonesia Department of Computer Science IPB University Bogor16680 Indonesia Computer Engineering Technology Study Program College of Vocational Studies IPB University West Java Bogor16151 Indonesia

The experiment was carried out by growing BaTiO3 (Undoped or Li-doped) on p-type Si(1 0 0) substrates using the Chemical Solution Deposition (CSD) method and spin coating at a rotational speed of 3000 rpm for 60 s, followed by heating at 850 °C. The characterization results show that the bandgap energy value of the thin film due to lithium doping reduces the bandgap energy value. This is presumably because the donor atom added to a semiconductor causes the allowable energy level to be slightly below the conduction band. The presence of this new band causes the thin film bandgap energy to decrease with a five-valent tantalum dip. The morphological properties showed that the BaTiO3/Si(1 0 0) thin film particles in the deposited lithium had a fairly homogeneous grain. With the addition of lithium acetate as a binder into barium titanate, the grain size is getting smaller because it is suspected that the lithium-ion radius is smaller than the barium-ion radius. Measurement of I-V on the thin film shows that the output voltage value increases with more light intensity hitting the surface of the thin film. The greater the light intensity, the greater the energy of the photons, so the electrons are easier to jump. The three things above (both electrical and morphological properties) conclude that the thin films grown have the potential for photovoltaics. © 2023

关键词： Thin films

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Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods 28th

Evaluation and Comparison of Emotionally Evocative Image Aug...

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28th International Conference on Knowledge Based and Intelligent information and Engineering Systems, KES 2024

作者： Ignatowicz, Jan Kutt, Krzysztof Nalepa, Grzegorz J. Jagiellonian Human-Centered AI Lab Mark Kac Center for Complex Systems Research Institute of Applied Computer Science Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Lojasiewicza 11 Kraków30-348 Poland

Experiments in affective computing are based on stimulus datasets that, in the process of standardization, receive metadata describing which emotions each stimulus evokes. In this paper, we explore an approach to creating stimulus datasets for affective computing using generative adversarial networks (GANs). Traditional dataset preparation methods are costly and time consuming, prompting our investigation of alternatives. We conducted experiments with various GAN architectures, including Deep Convolutional GAN, Conditional GAN, Auxiliary Classifier GAN, Progressive Augmentation GAN, and Wasserstein GAN, alongside data augmentation and transfer learning techniques. Our findings highlight promising advances in the generation of emotionally evocative synthetic images, suggesting significant potential for future research and improvements in this domain. © 2024 The Authors.

关键词： Generative adversarial networks

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Separable Convex Mixed-Integer Optimization: Improved Algorithms and Lower Bounds 32

Separable Convex Mixed-Integer Optimization: Improved Algori...

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32nd Annual European Symposium on Algorithms, ESA 2024

作者： Brand, Cornelius Koutecký, Martin Lassota, Alexandra Ordyniak, Sebastian Faculty for Informatics and Computer Science University of Regensburg Germany Computer Science Institute Faculty of Mathematics and Physics Charles University Prague Czech Republic Eindhoven University of Technology Netherlands University of Leeds United Kingdom

ISBN: (纸本)9783959773386

We provide several novel algorithms and lower bounds in central settings of mixed-integer (non-)linear optimization, shedding new light on classic results in the field. This includes an improvement on record running time bounds obtained from a slight extension of Lenstra's 1983 algorithm [Math. Oper. Res.'83] to optimizing under few constraints with small coefficients. This is important for ubiquitous tasks like knapsack-, subset sum- or scheduling problems [Eisenbrand and Weismantel, SODA'18, Jansen and Rohwedder, ITCS'19]. Further, we extend our algorithm to an intermediate linear optimization problem when the matrix has many rows that exhibit 2-stage stochastic structure, which adds to a prominent line of recent results on this and similarly restricted cases [Jansen et al. ICALP'19, Cslovjecsek et al. SODA'21, Brand et al. AAAI'21, Klein, Reuter SODA'22, Cslovjecsek et al. SODA'24]. We also show that the generalization of two fundamental classes of structured constraints from these works (n-fold and 2-stage stochastic programs) to separable-convex mixed-integer optimization are harder than their mixed-integer, linear counterparts. This counters a widespread belief popularized initially by an influential paper of Hochbaum and Shanthikumar, namely that "convex separable optimization is not much harder than linear optimization" [J. ACM'90]. To obtain our algorithms, we employ the mixed Graver basis introduced by Hemmecke [Math. Prog.'03], and our work is the first to give bounds on the norm of its elements. Importantly, we use these bounds differently from how purely-integer Graver bounds are exploited in related approaches, and prove that, surprisingly, this cannot be avoided. © Cornelius Brand, Martin Koutecký, Alexandra Lassota, and Sebastian Ordyniak;licensed under Creative Commons License CC-BY 4.0.

关键词： Mixed-integer linear programming

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Meal Recommendation System for the Elderly (MRS)

Meal Recommendation System for the Elderly (MRS)

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2023 International Technical Conference on Circuits/Systems, computers, and Communications, ITC-CSCC 2023

作者： Charernmool, Piyanuch Tawornying, Chonlasit Prapakornwanichakun, Theerasak Vanijkachorn, Pavarit Visutsak, Porawat Pensiri, Fuangfar Chaopraya University Faculty of Science and Technology Nakhon Sawan Thailand King Mongkut's University of Technology Faculty of Applied Science Department of Computer and Information Science North Bangkok Bangkok Thailand School of Computer Science and Technology Beijing Institute Technology Beijing100081 China Kasetsart University Faculty of Science at Sriracha Chonburi Thailand

ISBN: (纸本)9798350326413

In developing countries, the well-being of the elderly is not given enough attention, especially in terms of nutrition. This is a vital point since the meal which the elderly eat typically reflects their health. This paper aims to research and develop a web-based system with the capacity to design appropriate and healthy meal plans for the elderly by nutrition specialist's recommendation. Eating healthy meal plans for a person helps to have good health. It was found that the elderly with diabetic mellitus and kidney failure had the better health together with good mental health. Moreover, the system can accurately calculate the optimal number of calories which the elderly should have each day. A supporting website was developed using HTML and *** for expert evaluation © 2023 IEEE.

关键词： Expert systems

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Demonstration of quantum-digital payments (vol 14,3849, 2023)

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NATURE COMMUNICATIONS 2023年第1期14卷 1-7页

作者： Schiansky, Peter Kalb, Julia Sztatecsny, Esther Roehsner, Marie-Christine Guggemos, Tobias Trenti, Alessandro Bozzio, Mathieu Walther, Philip University of Vienna Faculty of Physics Vienna Center for Quantum Science and Technology (VCQ) 1090 Vienna Austria Christian Doppler Laboratory for Photonic Quantum Computer Faculty of Physics University of Vienna 1090 Vienna Austria

Digital payments have replaced physical banknotes in many aspects of our daily lives. Similarly to banknotes, they should be easy to use, unique, tamper-resistant and untraceable, but additionally withstand digital attackers and data breaches. Current technology substitutes customers’ sensitive data by randomized tokens, and secures the payment’s uniqueness with a cryptographic function, called a cryptogram. However, computationally powerful attacks violate the security of these functions. Quantum technology comes with the potential to protect even against infinite computational power. Here, we show how quantum light can secure daily digital payments by generating inherently unforgeable quantum cryptograms. We implement the scheme over an urban optical fiber link, and show its robustness to noise and loss-dependent attacks. Unlike previously proposed protocols, our solution does not depend on long-term quantum storage or trusted agents and authenticated channels. It is practical with near-term technology and may herald an era of quantum-enabled security.

关键词： Quantum information Quantum optics

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