Impact of Climate Change and Air Pollution Forecasting Using Machine Learning Techniques in Bishkek by Erkin Isaev, Boobek Ajikeev, Urmatbek Shamyrkanov, Kenjebek-uulu Kalnur, Karimov Maisalbek, Roy C. Sidle

“…We evaluate the performance of several machine learning algorithms applied to air quality and meteorology datasets and compare prediction accuracies of Bishkek air quality given its significant public importance. …”
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Effects of maximum dose on local control after stereotactic body radiotherapy for oligometastatic tumors of colorectal cancer. by Su Jin Kang, Jongmoo Park, Gyu-Seog Choi, Jong Gwang Kim, Jun Seok Park, Hye Jin Kim, Jin Ho Baek, Byung Woog Kang, An Na Seo, Shin-Hyung Park, Bong Kyung Bae, Min Kyu Kang, Soo Yeun Park

“…The dose distributions were recalculated using Monte Carlo-based algorithms. The significance of the planning target volume (PTV) biologically effective dose (BED) 10s (D2, D95, D98, Dmean) in LFFS was evaluated using Cox regression, considering sex, age, primary cancer, tumor site, oligometastatic status, multiplicity, and either tumor size or one of the volume parameters. …”
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Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery by Adam Cuellar, Daniel Brignac, Abhijit Mahalanobis, Wasfy Mikhael

“…Towards this end, we train and test our method on a public domain medium-wave infra-red (MWIR) dataset provided by the US Army for the development of automatic target recognition (ATR) algorithms. The results of this experiment show that the proposed method outperforms other state-of-the-art methods in rejecting the unknown target types while accurately classifying the known ones.…”
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An automatic cervical cell classification model based on improved DenseNet121 by Yue Zhang, Chunyu Ning, Wenjing Yang

“…Compared with other state-of-the-art algorithms, the A2SDNet121 model performs better in the multi-classification task of cervical cells, which can significantly improve the accuracy and efficiency of cervical cancer screening.…”
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Neural Networks Application for the Data of PID Controller for Acrobot by Nguyen Cong Danh

“…Due to the limited nature of surveying under conditions without the aid of software fine-tuning the desired output values, designers have to create a number of algorithms that control the system most appropriately in a complex working environment of this system. …”
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Location-Aware Cross-Layer Design Using Overlay Watermarks by Xianbin Wang, Paul Ho, Yiyan Wu

“…Therefore, efficient collaborative signal processing algorithms that consume less energy for computation and less bandwidth for communication are needed. …”
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Unveiling the intricate interplay: Exploring biological bridges between renal ischemia-reperfusion injury and T cell-mediated immune rejection in kidney transplantation. by Xinyi Xia, Xinrui Fan, Shan Jiang, Yuhan Liao, Yang Sun

“…Three machine learning algorithms screened for hub genes, which underwent miRNA prediction and transcription factor analysis. …”
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Optimization of hybrid photovoltaic-thermal systems integrated into buildings: Impact of bi-fluid exchangers and filling gases on the thermal and electrical performances of solar c... by Kokou Aménuvéla Toka, Yawovi Nougbléga, Komi Apélété Amou

“…The equations were discretized using the implicit finite difference method and solved using the Thomas and Gauss-Seidel algorithms. The results demonstrated an 18% enhancement in thermal efficiency with the utilization of neon. …”
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Gut–brain axis and neuropsychiatric health: recent advances by Ceymi Doenyas, Gerard Clarke, Renáta Cserjési

“…There is also evidence that the gut–brain axis plays a role in obesity and machine learning algorithms may assist in differentiating between obese and overweight individuals based on their microbiota data. …”
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Prediction of Network Threats and Attacks by Mathematical Simulation by Daniil Doroshenko

“…Using these models makes it possible to create precise algorithms to prevent attacks, which in turn achieve the reliability and security of the network infrastructure. …”
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Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning. by Ji-Ying Chen, Wu-Jie Chen, Zhi-Ying Zhu, Shi Xu, Li-Lan Huang, Wen-Qing Tan, Yong-Gang Zhang, Yan-Li Zhao

“…This study demonstrated the applicability and robustness of machine learning algorithms to analyze lipid metabolism data for efficient and reliable biomarker screening. …”
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Automatic Measuring Approach and Device for Mature Rapeseed’s Plant Type Parameters by Shengyong Xu, Jinming Wang, Hao Tian, Bo Wang

“…The system software is used to connect and control CCD camera and other hardware and run specific image processing algorithms to process and analyze videos to obtain plant type parameters. …”
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Professionals’ Perspectives of Smart Stationary Bikes in Rehabilitation: Qualitative Study by Julie Soulard, Dahlia Kairy, Roua Walha, Cyril Duclos, Sylvie Nadeau, Claudine Auger

“…Seven main themes emerged: (1) bike functionalities (cycling assistance, asymmetric resistance, and forward and backward cycling), (2) interface between bike and users (simple, user-friendly, personalized, with written reminders during training), (3) feedback to users (user and performance data), (4) training programs (preprogrammed and personalized, and algorithmic programs), (5) user engagement (telerehabilitation, group sessions, music, and automatic suggestion of training), (6) the bike as a physical device (dimensions, comfort, setup, screen, etc), and (7) business model (various pricing strategies, training for professionals, and after-sales service). …”
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TopoQual polishes circular consensus sequencing data and accurately predicts quality scores by Minindu Weerakoon, Sangjin Lee, Emily Mitchell, Haynes Heaton

“…TopoQual leverages techniques including partial order alignments (POA), topologically parallel bases, and deep learning algorithms to polish consensus sequences. Our results demonstrate that TopoQual corrects approximately 31.9% of errors in PacBio consensus sequences. …”
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FREEDOM OF THE INFORMATION SPACE. IS IT A REALITY OR ILLUSION? by Elena V. Korableva

“…То fit into information flow human should change the way he thinks: develop skills in algorithmic approach to information processing, structured analytical thinking. …”
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Forecasting High‐Speed Solar Wind Streams From Solar Images by Daniel Collin, Yuri Shprits, Stefan J. Hofmeister, Stefano Bianco, Guillermo Gallego

“…The study shows that a small number of physical features explains most of the solar wind variation, and that focusing on these features with simple machine learning algorithms even outperforms current approaches based on deep neural networks and MHD simulations. …”
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A Novel Three-Dimensional Direction-of-Arrival Estimation Approach Using a Deep Convolutional Neural Network by Constantinos M. Mylonakis, Zaharias D. Zaharis

“…This article aims to constitute a noteworthy contribution to the domain of direction-of-arrival (DoA) estimation through the application of deep learning algorithms. We approach the DoA estimation challenge as a binary classification task, employing a novel grid in the output layer and a deep convolutional neural network (DCNN) as the classifier. …”
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A topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information by Etana Fikadu Dinsa, Mrinal Das, Teklu Urgessa Abebe

“…To address this challenge, this work proposes a topic modeling framework for unstructured health-related documents in Afaan Oromo using latent dirichlet allocation (LDA) algorithms. All collected documents lack label information, which poses significant challenges for categorizing the documents and applying the supervised learning methods. …”
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Incorporating Contextual Factors into a Comprehensive Analysis of Operational Efficiency and Service Quality in Healthcare Sector by Utsav Pandey, Sanjeet Singh

“…While accounting for the external influences and avoiding the ‘best practice trap’ in the healthcare sector, a set of classification algorithms are used to quantify the impact of external factors on efficiency levels. …”
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Net buffer load during regional citrate anticoagulated continuous renal replacement therapy. by Innas Forsal, Dominique Pouchoulin, Viktoria Roos, Jorge Echeverri, Marcus Ewert Broman

“…This parameter is integrated as a static safety parameter in the Prismax version 3 software, and will guide the operator on a possible development of metabolic alkalosis with the current settings.<h4>Methods</h4>Algorithms for estimating the net buffer load were developed. …”
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