Mathematical Modeling and Recursive Algorithms for Constructing Complex Fractal Patterns by Abror Shavkatovich Buriboev, Djamshid Sultanov, Zulaykho Ibrohimova, Heung Seok Jeon

“…In this paper, we present mathematical geometric models and recursive algorithms to generate and design complex patterns using fractal structures. …”
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A Federated Weighted Learning Algorithm Against Poisoning Attacks by Yafei Ning, Zirui Zhang, Hu Li, Yuhan Xia, Ming Li

“…To address these limitations, this paper proposes the Federated Weighted Learning Algorithm (FWLA), a novel framework designed to mitigate poisoning attacks through client-specific weight adaptation and asynchronous collaboration. …”
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Mathematical Models and Algorithms of Optimal Load Management of Electricity Consumers by I. U. Rakhmonov, K. M. Reymov

“…Also, algorithms are proposed for accounting for simple and functional constraints in the form of equalities and inequalities when optimizing load profile. …”
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THE ALGORITHM FOR THE TREATMENT OF PATIENTS WITH TREATMENT-RESISTANT HYPERTENSION AT THE OUTPATIENT STAGE by O. S. Kulbachuk, E. V. Sid, O. V. Soloviov, A. V. Piskun

“…To acquaint general practice - family medicine doctors with the algorithm of treatment of patients with resistant arterial hypertension at the ambulatory stage. …”
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A novel model for malaria prediction based on ensemble algorithms. by Mengyang Wang, Hui Wang, Jiao Wang, Hongwei Liu, Rui Lu, Tongqing Duan, Xiaowen Gong, Siyuan Feng, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

“…However, a stacking architecture can solve this problem by combining distinct algorithms and models. This study compares the performance of traditional time series models and deep learning algorithms in malaria case prediction and explores the application value of stacking methods in the field of infectious disease prediction.…”
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An Intrusion Detection Approach based on the Combination of Oversampling and Undersampling Algorithms by Ahmet Okan Arık, Gülsüm Çiğdem Çavdaroğlu

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An Artificial Intelligence QRS Detection Algorithm for Wearable Electrocardiogram Devices by Zihao Li, Wenliang Zhu, Yiheng Xu, Yunbo Guo, Junbo Li, Peng Song, Ying Liang, Binquan You, Lirong Wang

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Advancing wildfire prediction in Nepal using machine learning algorithms by Saugat Sapkota, Khagendra Prasad Joshi, Sajesh Kuikel, Dipesh Kuinkel, Biplov Bhandari, Yanhong Wu, Haijian Bing, Suresh Marahatta, Deepak Aryal, S-Y Simon Wang, Binod Pokharel

“…Wildfires are increasingly threatening Nepal, particularly during the dry pre-monsoon months (March-May), leading to severe ecological impacts and disruptions to local communities. …”
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Algorithm for continual monitoring of fog based on geostationary satellite imagery by B. Jahani, B. Jahani, B. Jahani, S. Karalus, J. Fuchs, J. Fuchs, T. Zech, M. Zara, M. Zara, J. Cermak, J. Cermak

“…Validation of the algorithm against the METAR data showed that the algorithm is well suited for the detection of FLS. …”
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Forensic Genetics: A Machine Learning Algorithm for Mutation Modelling by Sofia Antão Sousa, Leonor Gusmão, Marisa Faustino, António Amorim, Nádia Pinto

“…These results support that machine learning algorithms may be used to improve mutation modelling, statistical significance depending on the available data to be used as training and test sets. …”
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Lightweight image encryption using integer reversible discrete Dual-Hahn transform on embedded systems by Mohamed Yamni, Achraf Daoui, Chakir El-Kasri, May Almousa, Ali Abdullah S. AlQahtani, Ahmed A. Abd El-Latif

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Dysregulation of innate and adaptive lymphoid immunity may have implications for symptom attribution and predict responses to targeted therapies in neuropsychiatric systemic lupus... by Julius Lindblom, Guillermo Barturen, Lorenzo Beretta, Daniel Toro-Domínguez, Elena Carnero-Montoro, Maria Orietta Borghi, Jessica Castillo, Ellen Iacobaeus, Yvonne Enman, Chandra Mohan, Marta E. Alarcón-Riquelme, Dionysis Nikolopoulos, Ioannis Parodis, Jacques-Olivier Pers, Alain Saraux, Valérie Devauchelle-Pensec, Sandrine Jousse-Joulin, Bernard Lauwerys, Julie Ducreux, Anne-Lise Maudoux, Ana Tavares, Isabel Almeida, Miguel Angel Gonzalez-Gay Mantecón, Ricardo Blanco Alonso, Alfonso Corrales Martínez, Ignasi Rodríguez-Pintó, Gerard Espinosa, Rik Lories, Nicolas Hunzelmann, Doreen Belz, Niklas Baerlecken, Michael Zauner, Michaela Lehner, Eduardo Collantes, Ma Angeles Aguirre-Zamorano, Alejandro Escudero-Contreras, Ma Carmen Castro-Villegas, Norberto Ortego, María Concepción Fernández Roldán, Enrique Raya, Inmaculada Jiménez Moleón, Enrique de Ramon, Isabel Díaz Quintero, Pier Luigi Meroni, Tommaso Schioppo, Carolina Artusi, Carlo Chizzolini, Aleksandra Zuber, Donatienne Wynar, Attila Balog, Magdolna Deák, Márta Bocskai, Sonja Dulic, Gabriella Kádár, Falk Hiepe, Silvia Thiel, Manuel Rodriguez Maresca, Antonio López-Berrio, Rocío Aguilar-Quesada, Héctor Navarro-Linares

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FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review by Abdulmajeed Adil Yazdeen, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Omar M. Ahmed, Rizgar R. Zebari

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Vitamin D supplementation may be beneficial in improving the prognosis of patients with sepsis-associated acute kidney injury in the intensive care unit: a retrospective study by Jie Sun, Yan Wang, Jue Wang, Hongwei Wu, Zhefeng Xu, Dongsheng Niu

“…These findings were consistent following PSM and subsequent adjustments for propensity score, pairwise algorithm (PA), and overlapping weights (OW) analyses, yielding hazard ratios ranging from 0.53 to 0.59, all with p-values <0.001. …”
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QTG-LGBM: A method of prioritizing causal genes in quantitative trait loci in maize by Chuang Wang, Shenshen Wu, Zhou Yao, En Luo, Junli Deng, Jianxiao Liu

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Distributed energy efficient unequal clustering algorithm for wireless sensor networks by SHANG Feng-jun1, Mehran Abolhasan2, Tadeusz Wysocki3

“…A distributed energy-efficient unequal clustering （DEEUC） algorithm was proposed for wireless sensor net-works by research current routing algorithms. …”
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Algorithms for Effector Prediction in Plant Pathogens and Pests: Achievements and Current Challenges by César De los Santos-Briones, Karla Gisel Carreón-Anguiano, Sara E. Vila-Luna, Jewel Nicole Anna Todd, Ignacio Islas-Flores, Luis Sáenz-Carbonell, Pablo Alejandro Gamas-Trujillo, Blondy Canto-Canché

“…Future algorithms may contemplate these highlighted features and will be better equipped to identify not only canonical effectors but highly elusive non-canonical effectors as well.…”
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Formation of the pediatric electroretinogram database parameters for the development of doctor’s decisionmaking algorithm by A. E. Zhdanov, A. Yu. Dolganov, V. N. Kazaykin, V. I. Borisov, V. O. Ponomarev, L. G. Dorosinsky, A. V. Lizunov, E. Luchian, X. Bao

“…The development of automated algorithms for analyzing electroretinogram signals may simplify routine processes and improve the quality of diagnosing eye diseases. …”
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Hammerstein Nonlinear Active Noise Control with the Filtered-Error LMS Algorithm by Krzysztof MAZUR, Marek PAWEŁCZYK

“…Existence of nonlinerities in the system may degrade performance of a linear feedforward control system usually used for ANC. …”
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Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks by Rezty Amalia Aras, Hutami Endang

“…For example, image searches on Instagram may use certain keywords, sometimes called hashtags. …”
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