A cellular automata coupled multi-objective optimization framework for blue-green infrastructure spatial allocation by Qinghe Hou, Hanwen Xu, Mingkun Xie, Pingjia Luo, Yuning Cheng

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Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study by Junchen Guo, Yunyun Dai, Sishan Jiang, Junqingzhao Liu, Xianghua Xu, Yongyi Chen

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Threshold Analysis of Request Degradation in the Computer Network by Vasilii P. Kirnos

“…The standard structure of a network of the application layer of the OSI model using the example of SBIS3 application (product of Tensor Company) is treated.Further, two approaches allowing to analyze degradations in a network are considered - on the basis of aggregated data and the operational analysis.The degradation study of more than 60 000 request types between two versions of application which works on the basis of the computer network is the cornerstone of the first decision. …”
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Energy Efficient Routing in Wireless Sensor Networks Based on Fuzzy Ant Colony Optimization by Ehsan Amiri, Hassan Keshavarz, Mojtaba Alizadeh, Mazdak Zamani, Touraj Khodadadi

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MOSRS: An engineering multi-objective optimization through Einsteinian concept. by Vahid Goodarzimehr, João Luiz Junho Pereira, Nima Khodadadi

“…The source codes of the MOSRS algorithm are publicly available at https://nimakhodadadi.com/algorithms-%2B-codes.…”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…This paper enhances sensory data quality using surface reconstruction techniques, followed by the marching cubes algorithm to generate an accurate and flexible 3D soil model. …”
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Development of a Clinically Applicable Deep Learning System Based on Sparse Training Data to Accurately Detect Acute Intracranial Hemorrhage from Non-enhanced Head Computed Tomogra... by Huan-Chih WANG, Shao-Chung WANG, Furen XIAO, Ue-Cheung HO, Chiao-Hua LEE, Jiun-Lin YAN, Ya-Fang CHEN, Li-Wei KO

“…Non-enhanced head computed tomography is widely used for patients presenting with head trauma or stroke, given acute intracranial hemorrhage significantly influences clinical decision-making. This study aimed to develop a deep learning algorithm, referred to as DeepCT, to detect acute intracranial hemorrhage on non-enhanced head computed tomography images and evaluate its clinical applicability. …”
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Mapping dominant plant communities in the degraded Zoige swamp using Sentinel-1/2 imagery and its implications for vegetation restoration by Guoying Zhang, Chuanpeng Zhao, Mingming Jia, Rong Zhang, Hou Jiang, Zongming Wang

“…Then, we applied the random forest (RF) algorithm to identify three plant communities dominated by Kobresia, Carex, and Blysmus in the degraded Zoige swamp. …”
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Analisis Perbandingan Algoritma SVM, KNN, dan CNN untuk Klasifikasi Citra Cuaca by Mohammad Farid Naufal

“…This study aims to compare the performance of that three algorithms so that the performance gap between the three is known. …”
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Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

“…<i>Results:</i> The results support the accuracy of our algorithm when tested on a standard one-cent coin. …”
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Modeling of Multihop Wireless Sensor Networks with MAC, Queuing, and Cooperation by Jian Lin, Mary Ann Weitnauer

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YOLO-SBA: A Multi-Scale and Complex Background Aware Framework for Remote Sensing Target Detection by Yifei Yuan, Yingmei Wei, Xiaoyan Zhou, Yanming Guo, Jiangming Chen, Tingshuai Jiang

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Application of the Modified Method of ant Colonies to Search for Rational Assignment of Employees to Tasks Using Fuzzy Sets by V. A. Sudakov, Yu. P. Titov

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N V.V. THE METHOD OF ESTIMATION OF THE ECOSYSTEMS STABILITY LEVEL BY USE OF AUTOMATIC LEARNING by V. N. Exzaryan, Rukavitsi

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Picture fuzzy hypersoft topsis method based on correlation coefficient by V. Chinnadurai, A. Bobin

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MALDI-TOF mass spectrometry discriminates drug-susceptible and -resistant strains in Mycobacterium abscessus. by Tran Duong Thai, Nut Nithimongkolchai, Benjawan Kaewseekhao, Janejira Samarnjit, Chutipapa Sukkasem, Lumyai Wonglakorn, Auttawit Sirichoat, Arnone Nithichanon, Kiatichai Faksri

“…With the aid of machine learning, particularly the decision-tree algorithm, predictive models demonstrated excellent performance with 100% sensitivity and specificity. …”
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Flexibility in load demand and PHEV parameters for clean and economic microgrid operation by Bishwajit Dey, Srikant Misra, Arnab Pal

“…A thorough investigation is carried out by taking three varieties of PHEVs with varied battery capacity and charging/discharging power levels. …”
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Model of process of organization of effective agricultural land-tenure by Оlexandra Hulko

“…There has been proposed management decision-making algorithm for efficient land use organization. …”
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Diagnostics of retinal pathologies by optical coherence tomography images using artificial intelligence tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva

“…The main result of the research is the development of an algorithm, implemented on Python, for the diagnosis of retinal diseases from OCT images based on convolutional neural network AI tool. …”
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Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients. by Carlo Barbieri, Elena Bolzoni, Flavio Mari, Isabella Cattinelli, Francesco Bellocchio, José D Martin, Claudia Amato, Andrea Stopper, Emanuele Gatti, Iain C Macdougall, Stefano Stuard, Bernard Canaud

“…An Artificial Neural Network (ANN) algorithm for predicting hemoglobin concentrations three months into the future was developed and evaluated in a retrospective study on a sample population of 1558 HD patients treated with intravenous (IV) darbepoetin alfa, and IV iron (sucrose or gluconate). …”
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