Evaluation and Early Detection of Downy Mildew of Lettuce Using Hyperspectral Imagery by Songtao Ban, Minglu Tian, Dong Hu, Mengyuan Xu, Tao Yuan, Xiuguo Zheng, Linyi Li, Shiwei Wei

“…Moreover, regression models developed using Partial Least Squares (PLS), Random Forest (RF), and Convolutional Neural Network (CNN) algorithms demonstrated high accuracy and reliability in predicting DI, flavonoids, and anthocyanins, with the highest R² of 0.857, 0.910, and 0.963, respectively. …”
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Characterization of Anisotropy in Additively Manufactured Materials through Instrumented Indentation Testing by Zhuoshao Cai, Zhiwei Yang, Liang Meng, Kaijie Lin, Yuliang Hou, Thaneshan Sapanathan, Jihong Zhu, Weihong Zhang

“…Subsequently, an inverse identification framework is built, in which an Euclidean error norm between simulated and experimental indentation responses is minimized via optimization algorithms such as the Globally Convergent Method of Moving Asymptotes (GCMMA). …”
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Virtual adaptation of a nurse-driven strategy to improve blood pressure control among people with HIV by Melissa Klein Cutshaw, Kelley A. Jones, Nwora Lance Okeke, Corrilynn O. Hileman, Barbara M. Gripshover, Angela Aifah, Gerald S. Bloomfield, Charles Muiruri, Valerie A. Smith, Rajesh Vedanthan, Allison R. Webel, Hayden B. Bosworth, Christopher T. Longenecker

“…The AAIM High strategy is a virtual adaptation of our previously published EXTRA-CVD strategy and consisted of hypertension education and six components: nurse-led care coordination (delivered by teleconference or telephone), home systolic blood pressure (SBP) monitoring, evidence-based treatment algorithms, electronic health records tools, technology coach, and communication preferences assessment. …”
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A novel brain tumor magnetic resonance imaging dataset (Gazi Brains 2020): initial benchmark results and comprehensive analysis by Seref Sagiroglu, Ramazan Terzi, Emrah Celtikci, Alp Özgün Börcek, Yilmaz Atay, Bilgehan Arslan, Mustafa Caglar Sahin, Kerem Nernekli, Umut Demirezen, Okan Bilge Ozdemir, Kevser Özdem Karaca, Nuh Azgınoğlu

“…ROI and whole tumor segmentations were successfully performed and compared with seven algorithms with accuracies of 87.61% and 97.18%. The Grad-CAM model also demonstrated satisfactory accuracy across the tests that were conducted. …”
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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

“…Data collection involved capturing various hand gestures under various environmental conditions to train and validate our recognition algorithms, including implementing YOLO V5 alongside Python libraries with OpenCV. …”
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A cross-stage features fusion network for building extraction from remote sensing images by Xiaolong Zuo, Zhenfeng Shao, Jiaming Wang, Xiao Huang, Yu Wang

“…CFF-Net outperformed other state-of-the-art algorithms on the two datasets in IoU and F1 metrics. …”
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Volcano activity classification from synergy of EO data and machine learning: an application to Mount Etna volcano (Italy) by C. Petrucci, G. Romoli, A. Pignatelli, E. Trasatti, F. Zuccarello, F. Greco, M. Dozzo, G. Bilotta, F. Spina, G. Ganci

“…Using satellite data, including ground deformation, radiance, land surface temperature, sulfur dioxide emissions, and gravity anomalies, five volcanic activity states were identified: Quiet, Preparatory, Unrest, Eruption, and Cooling. Supervised ML algorithms, such as random forest, support vector machines, decision trees, and k-nearest neighbors, were employed to classify these states. …”
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Recent Advances in AlN-Based Acoustic Wave Resonators by Hao Lu, Xiaorun Hao, Ling Yang, Bin Hou, Meng Zhang, Mei Wu, Jie Dong, Xiaohua Ma

“…Additionally, optimization algorithms for designing AlN-based BAW filters are outlined to reduce design time and improve efficiency. …”
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Estimation and trend analysis of grassland aboveground biomass on the Qinghai-Xizang Plateau based on machine learning by Ruoqi Zhang, Qisheng Feng, Yonghui Zhang, Jingjing Mai, Tiangang Liang

“…A comprehensive benchmarking of 25 machine learning (ML) algorithms was conducted to evaluate their performance. …”
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AI-driven assessment of over-scanning in chest CT: A systematic review and meta-analysis by Mo’men Bani-Ahmad, Andrew England, Laura McLaughlin, Marwan Alshipli, Kholoud Alzyoud, Yasser H. Hadi, Mark McEntee

“…Results: Five studies employed AI algorithms to assess manual over-scanning in chest CT using either 2D topograms or 3D axial images at low and standard doses. …”
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Visualization of Moisture Distribution in Stacked Tea Leaves on Process Flow Line Using Hyperspectral Imaging by Yuying Zhang, Binhui Liao, Mostafa Gouda, Xuelun Luo, Xinbei Song, Yihang Guo, Yingjie Qi, Hui Zeng, Chuangchuang Zhou, Yujie Wang, Jingfei Zhang, Xiaoli Li

“…In this study, we utilized hyperspectral imaging (HSI) technology combined with machine learning algorithms to evaluate the moisture content and its distribution in the stacked tea leaves in West Lake Longjing and Tencha green tea products during the processing flow line. …”
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Electrophysiological-based automatic subgroups diagnosis of patients with chronic dysimmune polyneuropathies by Sara Ballanti, Piergiuseppe Liuzzi, Paolo Luca Mattiolo, Maenia Scarpino, Sabrina Matà, Bahia Hakiki, Francesca Cecchi, Calogero Maria Oddo, Andrea Mannini, Antonello Grippo

“…Five different classification algorithms based on electrophysiological data (conduction velocity, latency, and amplitude of sensory and motor responses from different nerves) were implemented to classify three types of neuropathies and identify discriminative neurographic parameters. …”
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Small Target Ewe Behavior Recognition Based on ELFN-YOLO by Jianglin Wu, Shufeng Li, Baoqin Wen, Jing Nie, Na Liu, Honglei Cen, Jingbin Li, Shuangyin Liu

“…The proposed method is of significant importance for strengthening animal welfare and ewe management, and it provides valuable data support for subsequent tracking algorithms to monitor the activity status of ewes.…”
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Assessing Ground Displacement in Oran City, Algeria: A Comparative Analysis of PSInSAR, SBAS, and Combined Method by Kamel Hasni, Bachir Gourine, Boudhane Boubaker, Slimani Mohammed El Amine

“…However, while these algorithms have proven their effectiveness in some areas, their performance is less consistent in others. …”
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Causes of Multi-Mechanism Abnormal Formation Pressure in Offshore Oil and Gas Wells by Yang Xu, Jin Yang, Zhiqiang Hu, Quanmin Zhao, Lei Li, Qishuai Yin

“…This paper introduces an innovative analytical framework that combines hierarchical clustering algorithms with the LightGBM model. Further refined by the application of Bayesian optimization, the model intelligently adjusts hyperparameters to enhance predictive accuracy. …”
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Identification of key ferroptosis-related genes and therapeutic target in nasopharyngeal carcinoma by Yuanyuan Gu, Yaozhuang Zhou, Chunhua Xie, Guangyao He, Guangyao He, Maosheng Zhang

“…Four machine learning algorithms screened hub genes, validated by ROC curves. …”
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DISPEL: A Python Framework for Developing Measures From Digital Health Technologies by A. Scotland, G. Cosne, A. Juraver, A. Karatsidis, J. Penalver-Andres, E. Bartholome, C. M. Kanzler, C. Mazza, D. Roggen, C. Hinchliffe, S. Del Din, S. Belachew

“…While the framework has already been refined based on clinical trials’ data, ad-hoc validation of the provided algorithms in their specific context of use is recommended to the users.…”
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A Pilot Study on Mixed-Reality Approaches for Detecting Upper-Limb Dysfunction in Multiple Sclerosis: Insights on Cerebellar Tremor by Etty Sabatino, Miriam Moschetta, Andrea Lucaroni, Giacinto Barresi, Carlo Ferraresi, Jessica Podda, Erica Grange, Giampaolo Brichetto, Anna Bucchieri

“…Data from twelve healthy individuals served as benchmarks, while nine PwMS, including three with cerebellar tremor and one with ataxia, were tested to evaluate the tool’s diagnostic potential. Clustering algorithms applied to the kinematic data classified participants into distinct groups, showing that PwMS without cerebellar symptoms sometimes displayed behavior similar to healthy controls. …”
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Structure of dimerized assimilatory NADPH-dependent sulfite reductase reveals the minimal interface for diflavin reductase binding by Behrouz Ghazi Esfahani, Nidhi Walia, Kasahun Neselu, Yashika Garg, Mahira Aragon, Isabel Askenasy, Hui Alex Wei, Joshua H. Mendez, M. Elizabeth Stroupe

“…Using a previously characterized minimal heterodimer reduces the heterogeneity of a structurally heterogeneous complex to a level that we analyze using multi-conformer cryo-EM image analysis algorithms. Here, we report the near-atomic resolution structure of the flavoprotein/hemoprotein complex, revealing how they interact in a minimal interface. …”
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Enhanced identification of Morganella spp. using MALDI-TOF mass spectrometry by Mathilde Duque, Cécile Emeraud, Rémy A. Bonnin, Quentin Giai-Gianetto, Laurent Dortet, Alexandre Godmer

“…Methods: We applied Machine Learning (ML) algorithms to a collection of 235 clinicial Morganella spp. strains to develop an optimized identification model. …”
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