Statistical Analysis of Compact Single-source Flares Observed by STIX by Michalina Litwicka, Tomasz Mrozek, Arun K. Awasthi, Marek Siarkowski, Marek Stęślicki, Janusz Sylwester, Barbara Sylwester

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Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

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UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework by Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao

“…Finally, we validate the effectiveness of the proposed heterogeneous hardware acceleration framework through experiments. For specific algorithms, our implementation achieves a state of the art acceleration effect compared to previous work. …”
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Expression‐based machine learning models for predicting plant tissue identity by Sourabh Palande, Jeremy Arsenault, Patricia Basurto‐Lozada, Andrew Bleich, Brianna N. I. Brown, Sophia F. Buysse, Noelle A. Connors, Sikta Das Adhikari, Kara C. Dobson, Francisco Xavier Guerra‐Castillo, Maria F. Guerrero‐Carrillo, Sophia Harlow, Héctor Herrera‐Orozco, Asia T. Hightower, Paulo Izquierdo, MacKenzie Jacobs, Nicholas A. Johnson, Wendy Leuenberger, Alessandro Lopez‐Hernandez, Alicia Luckie‐Duque, Camila Martínez‐Avila, Eddy J. Mendoza‐Galindo, David Cruz Plancarte, Jenny M. Schuster, Harry Shomer, Sidney C. Sitar, Anne K. Steensma, Joanne Elise Thomson, Damián Villaseñor‐Amador, Robin Waterman, Brandon M. Webster, Madison Whyte, Sofía Zorilla‐Azcué, Beronda L. Montgomery, Aman Y. Husbands, Arjun Krishnan, Sarah Percival, Elizabeth Munch, Robert VanBuren, Daniel H. Chitwood, Alejandra Rougon‐Cardoso

“…Comparing different machine learning algorithms, models trained and tested on Arabidopsis data achieved near perfect precision and recall values, whereas when tissue identity is predicted across the flowering plants using models trained on Arabidopsis data, precision values range from 0.69 to 0.74 and recall from 0.54 to 0.64. …”
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Serological proteomic characterization for monitoring liver fibrosis regression in chronic hepatitis B patients on treatment by Mengyang Zhang, Shuyan Chen, Xiaoning Wu, Jialing Zhou, Bingqiong Wang, Tongtong Meng, Rongxuan Hua, Yameng Sun, Hong You, Wei Chen

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Comparison of in Situ Plant Area Index and Remotely Sensed Leaf Area Index of Northeastern American Deciduous, Mixed, and Coniferous Forests for SMAPVEX19-22 by Christopher L. Cook, Laura Bourgeau-Chavez, Dorthea Vander Bilt, Mary Ellen Miller, Simon Kraatz, Michael H. Cosh, Victoria R. Kelly, Andreas Colliander

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Cyberattack detection on SWaT plant industrial control systems using machine learning by Shadi Jaradat, Md Mostafizur Komol, Mohammed Elhenawy, Naipeng Dong

“…Given the imbalanced nature of the dataset, additional metrics such as precision, recall, and F1 score were evaluated, further confirming the LSTM model’s robustness compared to traditional algorithms. This research demonstrates the LSTM network’s effectiveness in enhancing cybersecurity for ICSs and underscores the need for proactive strategies in detecting and mitigating cyber threats.…”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

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Basic parameters in speech processing. The need for evaluation by Harald HÖGE

“…A framework based on competitive evaluation is proposed to push algorithmic research and to make progress comparable.…”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

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Machine Learning Models for the Classification of Histopathological Images of Colorectal Cancer by Nektarios Georgiou, Pavlos Kolias, Ioanna Chouvarda

“…Additionally, this study investigated the use of feature extraction techniques to derive meaningful data from the images, contributing to a more nuanced understanding of cancerous tissues, comparing the performance of different image classification algorithms in the context of colon cancer image analysis. …”
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Cancer incidence in young adults aged 20 to 44 years old in the Siberian Federal District by L. D. Zhuikova, E. L. Choynzonov, A. D. Kaprin, A. O. Shakhzadova, O. A. Ananina, G. A. Kononova, L. V. Pikalova, M. Yu. Grishchenko, E. V. Denisov

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Adverse childhood experiences: terms, concepts, and study methods by Diana S. Shumskaia, Anna V. Trusova, Alexander O. Kibitov

“…However, to date, there is no unique and universally accepted approach to assessment of ACE, which may lead to controversy and low reproducibility of results.The purpose of this review is to examine and compare various methods of assessing and interpreting of ACE in order to identify optimal research algorithms within the current interpretation of the biopsychosocial model in psychiatry.This article reviews current terms, concepts, and methods of studying ACE. …”
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Survey of transmission scheduling methods in wireless sensor networks by Xiao-ling ZHANG, Wei LIANG, Hai-bin YU, Xi-sheng FENG

“…According to the features of wireless sensor networks,the definition and general constraints for transmission scheduling were given,and design principles and classification methods were summarized.Meanwhile,the fundamental mechanism of each recent representative transmission scheduling algorithms was analyzed in detail.The characteristics,performance,and application areas of various transmission scheduling algorithms were adequately compared.Finally,the status of current research development was concluded and the challenging and open research issues were pointed out.…”
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Survey of transmission scheduling methods in wireless sensor networks by Xiao-ling ZHANG, Wei LIANG, Hai-bin YU, Xi-sheng FENG

“…According to the features of wireless sensor networks,the definition and general constraints for transmission scheduling were given,and design principles and classification methods were summarized.Meanwhile,the fundamental mechanism of each recent representative transmission scheduling algorithms was analyzed in detail.The characteristics,performance,and application areas of various transmission scheduling algorithms were adequately compared.Finally,the status of current research development was concluded and the challenging and open research issues were pointed out.…”
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Learning new surgical techniques in low and middle income countries, approval processes, and the impact of artificial intelligence by Long Cong Duy Tran, Long Cong Duy Tran, Helal Metwalli, Helal Metwalli, Dat Tien Le, Dat Tien Le, Samuel Amo-Afful, Samuel Amo-Afful, Mario Salib Todry Gerges, Mario Salib Todry Gerges, Hajer Hatim Hassan Ahmed, Hajer Hatim Hassan Ahmed, Dinh Thi Kim Quyen, Dinh Thi Kim Quyen, Abdelrahman Gamil Gad, Abdelrahman Gamil Gad, Phillip Tran, Nguyen Tien Huy, Nguyen Tien Huy, Nguyen Tien Huy

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Nondestructive estimation of leaf chlorophyll content in banana based on unmanned aerial vehicle hyperspectral images using image feature combination methods by Weiping Kong, Weiping Kong, Lingling Ma, Huichun Ye, Huichun Ye, Jingjing Wang, Chaojia Nie, Binbin Chen, Xianfeng Zhou, Wenjiang Huang, Zikun Fan

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UAVs’ Flight Dynamics Is All You Need for Wind Speed and Direction Measurement in Air by Sihong Zhu, Tonghui Zhao, Huanji Zhang, Yichao Chen, Dongxu Yang, Yi Liu, Junji Cao

“…The proposed method leverages data from sensors onboard UAV platforms, combined with advanced ML algorithms trained on ground-truth measurements obtained through high-resolution LiDAR systems. …”
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Leveraging Spectral Neighborhood Information for Corn Yield Prediction with Spatial-Lagged Machine Learning Modeling: Can Neighborhood Information Outperform Vegetation Indices? by Efrain Noa-Yarasca, Javier M. Osorio Leyton, Chad B. Hajda, Kabindra Adhikari, Douglas R. Smith

“…This study underscores the importance of spatial context in corn yield prediction and lays the foundation for future research across diverse agricultural settings, focusing on optimizing neighborhood size, integrating spatial and spectral data, and refining spatial dependencies through localized search algorithms.…”
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Accurate detection of low concentrations of microplastics in soils via short-wave infrared hyperspectral imaging by Huan Chen, Taesung Shin, Bosoon Park, Kyoung Ro, Changyoon Jeong, Hwang-Ju Jeon, Pei-Lin Tan

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