Apple phenotyping using deep learning and 3D depth analysis: An experimental study on fruitlet sizing during early development by Giorgio Checola, Damiano Moser, Paolo Sonego, Cristian Iob, Franco Micheli, Pietro Franceschi

“…Current research in apple-growing focuses on collecting extensive biometric data to better understand physiological processes, improve orchard productivity and predict yields. …”
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Deep Learning for Opportunistic Rain Estimation via Satellite Microwave Links by Giovanni Scognamiglio, Andrea Rucci, Attilio Vaccaro, Elisa Adirosi, Fabiola Sapienza, Filippo Giannetti, Giacomo Bacci, Sabina Angeloni, Luca Baldini, Giacomo Roversi, Alberto Ortolani, Andrea Antonini, Samantha Melani

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Developing a machine learning-based predictive model for levothyroxine dosage estimation in hypothyroid patients: a retrospective study by Tran Thi Ngan, Tran Thi Ngan, Dang Huong Tra, Ngo Thi Quynh Mai, Hoang Van Dung, Nguyen Van Khai, Pham Van Linh, Nguyen Thi Thu Phuong, Nguyen Thi Thu Phuong

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Ultra Wideband radar-based gait analysis for gender classification using artificial intelligence by Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, Sandra Dudley, Julio César Martínez Espinosa, Luis Alonso Dzul López, Isabel de la Torre Díez

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Hospitalization, mortality, and health service delivery pattern among Iranian Hajj pilgrims by age, sex, and province in 2013–22 by Pirhossein Kolivand, Pirhossein Kolivand, Peyman Saberian, Jalal Arabloo, Peyman Namdar, Taher Doroudi, Taher Doroudi, Ali Marashi, Masoud Behzadifar, Fereshte Karimi, Soheila Rajaei, Behzad Raei, Seyed Jafar Ehsanzadeh, Arash Parvari, Samad Azari, Samad Azari

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Maximizing the scientific application of Pandora column observations of HCHO and NO₂ by P. Rawat, J. H. Crawford, K. R. Travis, L. M. Judd, M. A. G. Demetillo, L. C. Valin, J. J. Szykman, A. Whitehill, E. Baumann, T. F. Hanisco

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Enhancing the performance of grid-connected DFIG systems using prescribed convergence law by Hichem Itouchene, Fayssal Amrane, Zoubir Boudries, Saad Mekhilef, Habib Benbouhenni, Nicu Bizon

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Inversion of Moho topography in Taiwan using improved Parker-Oldenburg method by Hangtao Yu, Hangtao Yu, Hangtao Yu, Mingming Wen, Mingming Wen, Mingming Wen, Chuang Xu

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Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

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Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species by Aisha Khan, Saleem Ullah, Rifat Ali, Mahwish Rehman, Said Moshawih, Khang Wen Goh, Long Chiau Ming, Lai Ti Gew

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Locomotion Joint Angle and Moment Estimation With Soft Wearable Sensors for Personalized Exosuit Control by Luying Feng, Lianghong Gui, Wenzhu Xu, Xiang Wang, Canjun Yang, Yaochu Jin, Wei Yang

“…Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) models were specifically applied to estimate knee joint angles and hip joint moments, achieving a Mean Absolute Error (MAE) of 4.43° and 0.12 Nm/kg, respectively. …”
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Comparison of NeRF- and SfM-Based Methods for Point Cloud Reconstruction for Small-Sized Archaeological Artifacts by Miguel Ángel Maté-González, Roy Yali, Jesús Rodríguez-Hernández, Enrique González-González, Julián Aguirre de Mata

“…A comprehensive experimental framework was established, incorporating ground-truth data obtained using a metrological articulated arm and a rigorous quantitative evaluation based on root mean square (RMS) error, Chamfer distance, and point cloud density. …”
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Dataset of near-infrared (NIR) spectral data for prediction of organic matter and total carbon in agricultural soil using homemade NIR spectrometerMendeley Data by Natchanon Santasup, Parichat Theanjumpol, Choochad Santasup, Sila Kittiwachana, Nipon Mawan, Nuttapon Khongdee

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Monitoring irrigated dryland in China from 2000 to 2015 by integrating time series vegetation indices and environmental factors by Zijuan Zhu, Lijun Zuo, Zengxiang Zhang, Yun Shao, Haijun Bao, Xiaoli Zhao, Xiao Wang, Shunguang Hu, Sisi Yu, Tianshi Pan, Ziyuan Liu

“…This method not only avoids the error accumulation caused by overlaying the direct classification results of two periods but also addresses the issue of insufficient classification accuracy due to the shortage of samples and data in historical periods. …”
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Global Elevation Inversion for Multiband Spaceborne Lidar: Predevelopment of Forest Canopy Height by Haowei Zhang, Wei Gong, Hu He, Yue Ma, Weibiao Chen, Jiqiao Liu, Ge Han, Zhiyu Gao, Wanqi Zhong, Xin Ma

“…Compared with ICESat-2, GEDI and airborne scanning data in Finland, the geographic elevation results of MBFA showed average biases of –0.09, 0.1, and –0.95 m, with root mean square errors (RMSE) of 3.68, 4.51, and 7.70 m, respectively. …”
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A Physical-Layer Secure Coding Scheme for Indoor Visible Light Communication Based on Polar Codes by Zhen Che, Junbin Fang, Zoe Lin Jiang, Jin Li, Shancheng Zhao, Yongchun Zhong, Zhe Chen

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Complete blood count in neonatal Intensive care Unit (NICU): Performance comparison between POCT Sight OLO® and Sysmex XN-9100™ hematology analyzers by Francesca Nencini, Alessandro Bonari, Sara Ciullini Mannurita, Alessandra Mongia, Francesca Romano, Maria Garieri, Edda Russo, Silvia Sastrucci, Graziella Marrani, Martina Tonelli, Stefano Salti, Niccola Funel, Amedeo Amedei, Carlo Dani, Alessandra Fanelli

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Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography by Jonathan Bouvette, Hsuan-Fu Liu, Xiaochen Du, Ye Zhou, Andrew P. Sikkema, Juliana da Fonseca Rezende e Mello, Bradley P. Klemm, Rick Huang, Roel M. Schaaper, Mario J. Borgnia, Alberto Bartesaghi

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Blast exposure and long-term diagnoses among veterans: a millennium cohort study investigation of high-level blast and low-level blast by Sarah L. Martindale, Sarah L. Martindale, Sarah L. Martindale, Claire A. Kolaja, Claire A. Kolaja, Jennifer N. Belding, Lynne Liu, Rudolph P. Rull, Daniel W. Trone, Jared A. Rowland, Jared A. Rowland, Jared A. Rowland

“…BackgroundThe effects of blast overpressure (BOP) on brain health are increasingly recognized, yet longitudinal research into these effects after separation from military service remains limited. …”
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Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network by Yu Yang, Jiahui Xu, Qiangbing Zhou, Shichao Kong, Keyi Lin

“…The validation results indicate that the formula model trained by KAN achieves a Root Mean Square Error (RMSE) of 0.055 when predicting the damage Poisson’s ratio of actual test specimens, outperforming four classical models (RMSE ≥ 0.176). …”
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