MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO by Maria Torres Olave, Hugo Rojas Villalobos, Gina Zesati, Luis Bravo Peña, Luis Alatorre Cejudo

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Estimation of Soil Organic Carbon Content of Grassland in West Songnen Plain Using Machine Learning Algorithms and Sentinel-1/2 Data by Haoming Li, Jingyao Xia, Yadi Yang, Yansu Bo, Xiaoyan Li

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Paediatric atopic eczema (atopic dermatitis) in South Africa: A practical algorithm for the management of mild-to-moderate disease in daily clinical practice by Susanna M. Kannenberg, Sarah Karabus, Willem I. Visser, Jamilabibi Aboobaker, Magdalena M. Kriel, Michael Levin, Basil Magigaba, Ahmed Manjra, Rupesh Misra, Pholile Mpofu, Azwitamisi Tshigabe, Thomas Luger

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A patient-centric chest pain management approach utilizing a high sensitivity Troponin-I assay by Abby E. Roetger, Christopher D. McKinney, De B. Winter III, Charmaine Lewis, Kristopher Swiger, Claire M. Corbett, Gregory Hall, Adam David, Austin Gratton

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FedDyH: A Multi-Policy with GA Optimization Framework for Dynamic Heterogeneous Federated Learning by Xuhua Zhao, Yongming Zheng, Jiaxiang Wan, Yehong Li, Donglin Zhu, Zhenyu Xu, Huijuan Lu

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Mapping the distribution of pine wilt disease based on selected machine learning algorithms and high-resolution Gaofen-2/7 remote sensing by Yifan Wang, Xiaocheng Zhou, Chongcheng Chen, Xiaoqin Wang, Hao Wu, Fanglin Tan, Ruijiao Wu

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Center of Trapezoid Graph: Application in Selecting Center Location to Set up a Private Hospital by Shaoli Nandi, Sukumar Mondal, Sovan Samanta, Sambhu Charan Barman, Leo Mrsic, Antonios Kalampakas

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MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA. by Ijaware Victor Ayodele, Kehinde Ruth Aniyikaye

“…Moreover, these data were processed with the aid of ArcGIS 10.7 Software and Machine Learning algorithm was used in predicting areas suitable for cereals crops. …”
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Validation of the NISAR Multi-Scale Soil Moisture Retrieval Algorithm across Various Spatial Resolutions and Landcovers Using the ALOS-2 SAR Data by Preet Lal, Gurjeet Singh, Narendra N. Das, Rowena B. Lohman

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Explainable Artificial Intelligence in Malignant Lymphoma Classification: Optimized DenseNet121 Deep Learning Approach With Particle Swarm Optimization and Genetic Algorithm by Haitham ELwahsh, Ali Bakhiet, Omar Ibrahim Alirr, Tarek Khalifa, Maazen Alsabaan, Mohamed I. Ibrahem, Engy El-Shafeiy

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Monitoring and Assessment of Slope Hazards Susceptibility Around Sarez Lake in the Pamir by Integrating Small Baseline Subset InSAR with an Improved SVM Algorithm by Yang Yu, Changming Zhu, Majid Gulayozov, Junli Li, Bingqian Chen, Qian Shen, Hao Zhou, Wen Xiao, Jafar Niyazov, Aminjon Gulakhmadov

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SCH-Hunter: A Taint-Based Hybrid Fuzzing Framework for Smart Contract Honeypots by Haoyu Zhang, Baotong Wang, Wenhao Fu, Leyi Shi

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Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm by Michael Blaivas, Srikar Adhikari, Eric A. Savitsky, Laura N. Blaivas, Yiju T. Liu

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A Spatial-Temporal Multi-Feature Network (STMF-Net) for Skeleton-Based Construction Worker Action Recognition by Yuanyuan Tian, Sen Lin, Hejun Xu, Guangchong Chen

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Enhancing retail operations: Dynamic fulfilment strategies in Omnichannel retail by Hümeysa İskender, Sinem Dayanıklı, Abdullah Hulusi Kökçam, Željko Stević, Safiye Turgay, Mahmut Baydaş, Jasmina Bunevska Talevska

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Method of calculating the pressure on the soil of wheeled tractors by V. Yu. Revenko, A. N. Nazarov, V. I. Skorlyakov

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Machine learning assisted design of reactor steels with high long-term strength and toughness by Ivan Trofimov, Pavel Korotaev, Ivan Ivanov, Anton Malginov, Allen Tokhtamyshev, Alexey Yanilkin, Ivan Kruglov

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Analysis of daytime land surface temperature in Iran based on the MODIS sensor output by Mahmoud Ahmadi, AbbasAli Dadashi Roudbari, Hamzeh Ahmadi

“…In this study, considering the significant precision of day-night-based physics algorithm, Wan et al. (2002) has used this method to study Daytime LST in Iran. …”
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Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

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Efficient cooling capability in microchannel heat sink reinforced with Y-shaped fins: Based on artificial neural network, genetic algorithm, Pareto front, and numerical simulation by Xiang Ma, Ali Basem, Pradeep Kumar Singh, Rebwar Nasir Dara, Ahmad Almadhor, Amira K. Hajri, Raymond Ghandour, Barno Abdullaeva, H. Elhosiny Ali, Samah G. Babiker

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