Application of Kalman Filter to Estimate Dynamic Hedge Ratio in Pairs Trading Strategy: A Case Study of the Automobile Industry by Mohammad Javad Nourahmadi, Marziyeh Norahmadi

“…Of course, as with all trading strategies, the more you use them, the less likely you will make a profit. In this research, the co-integration method was used to select the pair of stocks, and based on the space-state approach and using the Kalman filter algorithm, the dynamic hedge ratio was estimated to provide trading signals. …”
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Non-Fault Detection Scheme Before Reclosing Using Parameter Identification for an Active Distribution Network by Zhebin Sun, Sileng A, Xia Sun, Shuang Zhang, Dinghua Liu, Wenquan Shao

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Deep Learning for Early Earthquake Detection: Application of Convolutional Neural Networks for P-Wave Detection by Dauren Zhexebay, Alisher Skabylov, Margulan Ibraimov, Serik Khokhlov, Aldiyar Agishev, Gulnur Kudaibergenova, Aibala Orazakova, Almansur Agishev

“…The seismic dataset used in this research was obtained from the IRIS database and includes data collected from seven stations within a 333 km radius of Almaty, Kazakhstan. …”
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Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning by Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben

“…This approach shows promise for improving the accuracy of research and clinical applications relying on blood gas data.…”
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Primary posterior capsulorexis: historical aspects and the current state of the issue by E.V. Egorova, A.O. Direev

“…Material and methods. A search for research on the subject of work from 2008 to 2023 was carried out. …”
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Precise irrigation of dryland cotton under canal irrigation system constraints based on the CERES-CROPGRO-Cotton model by Lei Wang, Liang He, Weihong Sun, Chen Gao, Zhenxiang Han, Meiwei Lin

“…This research offers a refined solution for intelligent irrigation decision-making in cotton cultivation in arid regions and paves the way for the application of intelligent agricultural decision systems.…”
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Assisted reproductive technologies in multiple sclerosis by O.D. Shulga, M.I. Hrytsko, A.S. Romaniuk, O.G. Kotsiuba

“…According to the data of modern research, MS does not affect the course of pregnancy and is not associated with obstetric pathologies. …”
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Water heaters low-voltage electrode with current supply complex shape by E. V. Ptitsyna, D. V. Ptitsyn, A. B. Kuvaldin

“…This required the solution of scientific problems in the development of research methods on the physical model of the water heater, obtaining regulatory characteristics that develops recommendations for the selection of effective operating modes required for the subsequent development of the algorithm of automatic control system. …”
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Two-layer multi-objective optimal sizing of electric-hydrogen energy storage with the integration of extreme scenario generation and preference-information decision-making by Zihan Sun, Jian Chen, Yang Chen, Wen Zhang, Tingting Zhang, Yicheng Zhang, Guangsheng Pan

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Changed definition of disease and broader screening criteria had little impact on prevalence of gestational diabetes mellitus by Lina Grønvall, Finn Egil Skjeldestad

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Modelling flame-to-fuel heat transfer by deep learning and fire images by Caiyi Xiong, Zilong Wang, Xinyan Huang

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Conjunctival biomicroscopy in the diagnosis of microcirculatory disorders in systemic sclerosis: A new look at the “old” method by N. V. Korneeva, E. N. Otteva, K. V. Zhmerenetsky, M. A. Kovaleva, T. S. Panevin

“…A promising direction, in our opinion, is the further study of the indicated MC parameters and the identification of possible correlations with the data of laboratory, instrumental methods of research and assessment of the dynamics of the indicated MC parameters in case of SS.…”
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A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study by Lingfeng Zhang, Gang Xie, Yue Zhang, Yue Zhang, Junlin Li, Junlin Li, Wuli Tang, Wuli Tang, Ling Yang, Ling Yang, Kang Li

“…PurposeThis research aimed to create a machine learning model for clinical-radiomics that utilizes unenhanced computed tomography images to assess the likelihood of malignant cerebral edema (MCE) in individuals suffering from acute ischemic stroke (AIS).MethodsThe research included 179 consecutive patients with AIS from two different hospitals. …”
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Sampling calorimeter to measure the photon’s incident angle by Lim GeiYoub, Abe Ryota, Ahn JungKeun, Ji Su-Jeong, Kim Chong, Kim Eun-Joo, Kim Junlee, Kim YoungJun, Kim YoungJun, Kotera Katsushige, Lim Sanghoon, Naito Taichi, Park JeongWoo, Shiomi Koji, Tajima Yasuhisa, Yang Seongbae, Yoshida Hiroshi

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Upcycling cement kiln dust for manufacturing clay bricks fired at different temperatures: RSM and ANN-GA hybrid-optimization by Rahma Mebarkia, Mansour Bouzeroura, Messaouda Boumaaza, Nasser Chelouah, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Yazid Chetbani, Djamel Ghernaout

“…The present research examines the utilization of cement kiln dust (CKD) in the manufacturing of low temperatures clay bricks (CB) adopting two types of clay, Remila (CR) and Ajiba (CA). …”
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Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn). by Samer Elsheikh, Ahmed Elbaz, Alexander Rau, Theo Demerath, Elias Kellner, Ralf Watzlawick, Urs Würtemberger, Horst Urbach, Marco Reisert

“…This pipeline has the potential to impact the daily clinical workload, as well as to facilitate the scaling of data collection for future research into intracerebral hemorrhage and other diseases.…”
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Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests by Min Fang, Chengjie Pan, Xiaoyi Yu, Wenjuan Li, Ben Wang, Huajian Zhou, Zhenying Xu, Genyuan Yang

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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images by Liang Zhou, Achin Jain, Arun Kumar Dubey, Sunil K. Singh, Neha Gupta, Arvind Panwar, Sudhakar Kumar, Turki A. Althaqafi, Varsha Arya, Wadee Alhalabi, Brij B. Gupta

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Statistical Analysis Method for Optimal Prameters of Telemetry Communication by XIE Jun, WU Sailong, HAO Hang, ZHANG Songwei, WU Ruiqing, SUN Xiangyang

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Synergistic use of satellite, legacy, and in situ data to predict spatio-temporal patterns of the invasive Lantana camara in a savannah ecosystem by Lilly Theresa Schell, Emma Evers, Sarah Schönbrodt-Stitt, Konstantin Müller, Maximilian Merzdorf, Drew Arthur Bantlin, Insa Otte

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