Advancing GIS-based suitability analysis of BtX, PtX, PBtX, and eBtX facilities using the fuzzy analytic hierarchy process by Marcel Dossow, Mengxi Chen, Hartmut Spliethoff, Sebastian Fendt

“…. • Providing a practical, replicable algorithm that can guide users through the process, making it easier to apply in various geographic and project contexts.…”
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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

“…We aim to develop a predictive model using a machine learning algorithm for identification of paroxysmal and persistent AF, and investigate the influencing factors. …”
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Spatiotemporal Changes in Evapotranspiration and Its Influencing Factors in the Jiziwan Region of the Yellow River from 1982 to 2018 by Wenting Liu, Rong Tang, Ge Zhang, Jiacong Xue, Baolin Xue, Yuntao Wang

“…To achieve accurate ET simulations, we introduced a multiple linear regression algorithm and quantitatively evaluated the specific contributions of five climate factors, including precipitation, temperature, wind speed, specific humidity, and radiation, as well as the normalized difference vegetation index (NDVI), a vegetation factor, to ET and its components. …”
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USSD: Unsupervised Sleep Spindle Detector by Edgardo Ramirez, Pablo A. Estevez, Martin D. Adams, Claudio A. Perez, Marcelo Garrido Gonzalez, Patricio Peirano

“…An unsupervised adaptive threshold method based on the distribution of the automatically detected SS lengths is developed, which allows the adaptation of the USSD algorithm to different datasets in an unsupervised way. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

“…Aiming at the problem of drought forecasting accuracy in a short time scale, this study proposed a drought forecasting model named VMD-JAYA-Informer based on Variational Mode Decomposition (VMD) and the JAVA optimization algorithm to improve the Informer model. This study conducted a comparative analysis of VMD-JAYA-ARIMA, VMD-JAYA-LSTM, VMD-JAYA-CNN, and VMD-JAYA-Informer drought prediction models. …”
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Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Convolutional Neural Network (CNN) is a deep learning algorithm that has good performance in image classification. …”
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Diagnostics and treatment of peptic ulcer: clinical guidelines of the Russian gastroenterological Association by V. T. Ivashkin, A. A. Sheptulin, I. V. Mayev, Ye. K. Baranskaya, A. S. Trukhmanov, T. L. Lapina, S. G. Burkov, A. V. Kalinin, A. V. Tkachev

“…Strict conformance of diagnostic algorithm for this category of patients as well as the eradication therapy protocol allows to decrease considerably the risk of recurrence of PUD and its complications.…”
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An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data by S. K. B. Sangeetha, Sandeep Kumar Mathivanan, V. Muthukumaran, Jaehyuk Cho, and Sathishkumar Veerappampalayam Easwaramoorthy

“…The performance comparisons between the two algorithmic methods with such complex datasets, which combine multi-modal imaging and genomic information, are presented. …”
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End-to-End Security Mechanism Using Blockchain for Industrial Internet of Things by Muhammad Shahid Dildar, Adnan Shahid Khan, Irshad Ahmed Abbasi, Reema Shaheen Naseem Akhtar, Khalil Al Ruqaishi, Shakeel Ahmed Ghulam Sarwar

“…In our paper, we proposed some lightweight cryptographic schemes, and Data management overhead which could fit any device. Moreover, our algorithm for the blockchain implementation is hybrid because this approach incorporates all the best features of the private and public implementation due to the individual blocks containing feasible information rather than the entire history.…”
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HI-CMAIM: Hybrid Intelligence-Based Multi-Source Unstructured Chinese Map Annotation Interpretation Model by Jiaxin Ren, Wanzeng Liu, Jun Chen, Xiuli Zhu, Ran Li, Tingting Zhao, Jiadong Zhang, Yuan Tao, Shunxi Yin, Xi Zhai, Yunlu Peng, Xinpeng Wang

“…Experimental results demonstrated the superiority of HI-CMAIM over existing algorithms. In the detection task, CMA-DB achieved an 8.54% improvement in Hmean (from 87.73% to 96.27%) compared to the DB algorithm. …”
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Identifying households with children who have complex needs: a segmentation model for integrated care systems by Roberta Piroddi, Andrea Astbury, Wesam Baker, Kostantinos Daras, Joe Rafferty, Iain Buchan, Benjamin Barr

“…We then used individual and household linked data across multiple health and social care services to identify these households, providing an algorithm to be used in a case finding interface. Finally, to understand the needs of this segment, and to identify unmet need, to tailor support, we used descriptive statistics and Poisson regression to profile the segment and compare them with the rest of the population. …”
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Prognostic model and immune-infiltrating cell landscape based on differentially expressed autophagy-related genes in TP53-mutated multiple myeloma by Yan-Hua Zheng, Hong-Yuan Shen, Xiang Chen, Juan Feng, Guang-Xun Gao

“…In addition, we used the CIBERSORT algorithm to explore the distribution difference of 22 immune-infiltrating cells. …”
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BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images by Kai Wang, Zhongle Ren, Biao Hou, Weibin Li, Licheng Jiao

“…Then, a morphological pseudo-label optimization algorithm is designed to employ CAMs to generate high-quality pseudo-labels. …”
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BDMANGO: An image dataset for identifying the variety of mango based on the mango leavesMendeley Data by Mohammad Manzurul Islam, Md. Jubayer Ahmed, Mahmud Bin Shafi, Aritra Das, Md. Rakibul Hasan, Abdullah Al Rafi, Mohammad Rifat Ahmmad Rashid, Nishat Tasnim Niloy, Md. Sawkat Ali, Abdullahi Chowdhury, Ahmed Abdal Shafi Rasel

“…The white background was specifically chosen to remove noise in image sample, allowing for accurate feature extraction by machine learning algorithms. This will ensure the trained model's efficacy in identifying a specific mango leaf while implemented alongside any segmentation algorithm. …”
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The last remnants of the Italian Apennine glaciers: 3-D modeling of the Lower Calderone Glacieret by the IDW spatial interpolation of GPR data by Matteo Dossi, Elisabetta Mattei, Massimo Pecci, Barbara Cosciotti, Sebastian Emanuel Lauro, Angelo Monaco, Marco Scozzafava, Elena Pettinelli

“…We applied a proprietary auto-picking algorithm to track reflections accurately and objectively within three pseudo-3-D GPR data sets that were acquired over the Lower Glacieret in different years. …”
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Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint by Yan Wang, Xiaoye Jin, Rui Qiu, Bo Ma, Sheng Zhang, Xuyang Song, Jinxi He

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.MethodsA content-based filtering algorithm was implemented to predict drug sensitivity. …”
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A Novel Method for Screening the PMU Phase Angle Difference Data Based on Hyperplane Clustering by Ancheng Xue, Shuang Leng, Yecheng Li, Feiyang Xu, Kenneth E. Martin, Jingsong Xu

“…Field data can suffer from errors, such as time synchronization error, transducer error, PMU algorithm error, hardware error or malicious attacks, etc. …”
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Principal component analysis and its generalizations for any type of sequence (PCA-Seq) by V. M. Efimov, K. V. Efimov, V. Y. Kovaleva

“…Technically, the problem is solved using an algorithm like SSA. The sequence is cut by a sliding window into fragments of a given length. …”
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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

“…Experimental results show that the proposed algorithm provides a set of reliable samples for the training of classifier and achieves a promising improvement on classification accuracy.…”
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Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Corre... by Giuseppe Altieri, Mahdi Rashvand Avaei, Attilio Matera, Francesco Genovese, Vincenzo Verrastro, Naouel Admane, Orkhan Mammadov, Sabina Laveglia, Giovanni Carlo Di Renzo

“…The identified procedure of management of regression algorithms allowed the selection of a very performant and robust model using the partial least squares regression algorithm: its false negative rate and false positive rate, after 500 Monte Carlo runs, were 0.004% +/− 0.003 and 0.02% +/− 0.01, respectively, and, in addition, the 50% of samples were used for the external cross-validation set.…”
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