Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health by Songchi Zhou, Ge Song, Haoqi Sun, Deyun Zhang, Yue Leng, M. Brandon Westover, Shenda Hong

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Computationally Efficient Neural Architecture Search for Image Denoising by Esau Alain Hervert Hernandez, Yan Cao, Nasser Kehtarnavaz

“…This combined approach of intelligent sampling and weight-shared reinforcement learning yields results equivalent to full-dataset training but with significantly reduced training time, demonstrating that efficient neural architecture search coupled with smart sampling can maintain high-quality denoising performance while substantially decreasing computational demand.…”
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PENERAPAN PENDEKATAN PROBLEM SOLVING PADA MATERI SIFAT KOLIGATIF LARUTAN DI MAN MODEL BANDA ACEH TAHUN AJARAN 2012/2013 by Nuraini Nuraini

“…Based on objective tests given after the study ended, student learning yield was obtained very good with the level of completeness of 96.67%. …”
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Scalable machine learning approach to light induced order disorder phase transitions with ab initio accuracy by Andrea Corradini, Giovanni Marini, Matteo Calandra

“…Here, we present a novel approach that combines constrained density functional theory with machine learning, yielding highly reliable interatomic potentials capable of capturing electron-hole plasma effects on structural properties. …”
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Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays by Chelsea E. Harris, Lingling Liu, Luiz Almeida, Carolina Kassick, Sokratis Makrogiannis

“…Among the six evaluated networks, DenseNet201 with transfer learning yielded the top classification accuracy at 95.2 %. …”
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Investigating the Effects of Different Distance Learning Modalities on Student Academic Performance in Technology Education Programs by Michael Calago, Emeliza Urgino, Wendell Del Campo, Jonald Pimentel

“…The results indicated significant differences in student performance across the three learning modalities, particularly in formative assessments where blended learning yielded significantly higher scores compared to synchronous and asynchronous modalities. …”
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A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data by Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang

“…Our study established a deep-learning model which can be used for early yield prediction at the county level, and we have proved that weather forecast data can also be applied in data-driven deep-learning yield prediction tasks.…”
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Skeletal Muscle Ultrasound Radiomics and Machine Learning for the Earlier Detection of Type 2 Diabetes Mellitus by Sameed Khan, Chad L. Klochko, Sydney Cooper, Brendan Franz, Lauren Wolf, Adam Alessio, Steven B. Soliman

“…Conclusion: US radiomics and machine learning yielded promising results for the detection of T2D using skeletal muscle. …”
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Clinical concept annotation with contextual word embedding in active transfer learning environment by Asim Abbas, Mark Lee, Niloofer Shanavas, Venelin Kovatchev

“…SCIBERT excelled in active transfer learning, yielding precision of 70.84%, recall of 77.40%, F1-score of 73.97%, and accuracy of 69.30%, surpassing counterpart models. …”
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Leveraging Historical Process Data for Recombinant <i>P. pastoris</i> Fermentation Hybrid Deep Modeling and Model Predictive Control Development by Emils Bolmanis, Vytautas Galvanauskas, Oskars Grigs, Juris Vanags, Andris Kazaks

“…This architecture was adapted to a new, smaller dataset of bacteriophage Qβ coat protein production using transfer learning, yielding strong predictive performance with low validation (3.53%) and test (5.61%) losses. …”
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The assessment of soil variables relative importance for cereal yield prediction under rainfed cropping system in Morocco by Oumnia Ennaji, Abdellah Hamma, Leonardus Vergütz, Achraf El Allali

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A Feature-Driven Inception Dilated Network for Infrared Image Super-Resolution Reconstruction by Jiaxin Huang, Huicong Wang, Yuhan Li, Shijian Liu

“…Image super-resolution (SR) algorithms based on deep learning yield good visual performances on visible images. …”
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Data-driven machine learning with lattice distortion and thermodynamic parameters guided strength optimization of refractory high-entropy alloys by Shujian Ding, Yifan Zhang, Siyang Lei, Xiang Weng, Wenhui Li, Wei Ren, Jian Chen, Weili Wang

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A framework of crop water productivity estimation from UAV observations: A case study of summer maize by Minghan Cheng, Ni Song, Josep Penuelas, Matthew F. McCabe, Xiyun Jiao, Yuping Lv, Chengming Sun, Xiuliang Jin

“…Key scientific findings demonstrate: (1) SEBAL outperformed FAO-56 in daily ET estimation (R² = 0.76 vs. 0.71, RMSE = 1.15 vs. 1.31 mm/d). (2) The machine learning yield model exhibited robust predictive capability (R² = 0.77, RMSE = 0.98 t/ha), successfully capturing yield variability across treatments. (3) Error propagation analysis validated framework reliability (CWP RMSE = 0.67 kg/m³), effectively differentiating CWP performance among management practices. …”
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