STWANet: Spatio-Temporal Wavelet Attention Aggregation Network for Remote Sensing Change Detection by Xiaoyang Zhang, Kaihui Dong, Dapeng Cheng, Zhen Hua, Jinjiang Li

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YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

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Burned Area Detection in the Eastern Canadian Boreal Forest Using a Multi-Layer Perceptron and MODIS-Derived Features by Hadi Mahmoudi Meimand, Jiaxin Chen, Daniel Kneeshaw, Mohammadreza Bakhtyari, Changhui Peng

“…It achieved an F1-score of 0.89 for burned pixels, confirming its potential for improving the long-term wildfire monitoring and management in boreal forests. Despite the computational demands of processing large-scale remote sensing data at 250 m resolution, the MLP modeling approach that we used provides an efficient, effective, and scalable solution for long-term burned area detection. …”
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Trade-off Between Semantic Radicals’ Characterhood and Host Phonograms’ Transparency in Semantic Radicals’ Semantic Activation by Мен Цзян, Ци Луо, Ся Ван, Ксі Лі

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Global Simulations of Gravitational Instability in Protostellar Disks with Full Radiation Transport. I. Stochastic Fragmentation with Optical-depth-dependent Rate and Universal Fra... by Wenrui Xu, Yan-Fei Jiang, Matthew W. Kunz, James M. Stone

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Suppression of Shock X-Ray Emission in Novae from Turbulent Mixing with Cool Gas by Brian D. Metzger, Lachlan Lancaster, Rebecca Diesing

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Melting heat transport reliability on dynamics of tri-hybrid nanofluid due to inclined shrinking surface by Muhammad Yasir, Roobaea Alroobaea, N. Ameer Ahammad, Ibrahim E. Elseesy

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Diagnosis accuracy of machine learning for idiopathic pulmonary fibrosis: a systematic review and meta-analysis by Li Cong, Ying Chen, Xiaolei He, MaiLiKai KuErBan, Chao Wu, Liping Chen

“…During the meta-analysis, we carried out subgroup analyses by imaging source (computed radiography/computed tomography) and modeling type (deep learning/other) to evaluate its diagnostic performance for IPF. …”
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3D-Printed Organ-Realistic Phantoms to Verify Quantitative SPECT/CT Accuracy for 177Lu-PSMA-617 Treatment Planning by Lydia J. Wilson, Sara Belko, Eric Gingold, Shuying Wan, Rachel Monane, Robert Pugliese, Firas Mourtada

“…We evaluated the fabrication process via geometric verification (i.e., volume comparisons) and leak testing (i.e., dye penetration tests). …”
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An antisense-long-noncoding-RNA modulates p75NTR expression levels during neuronal polarization by Veronica De Paolis, Nicoletta Paolillo, Tiziano Siri, Alessandra Grosso, Veronica Lorello, Cristina Spina, Gabriele Caporali, Federico La Regina, Beatrice Vignoli, Corinna Giorgi

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MOCVD Grown InGaAs/InAlAs Quantum Cascade Lasers Emitting at 7.7 μm by Maciej Bugajski, Andrzej Kolek, Grzegorz Hałdaś, Włodzimierz Strupiński, Iwona Pasternak, Walery Kołkowski, Kamil Pierściński

“…The grown structures were processed into mesa Fabry-Perot lasers using dry etching RIE ICP processing technology. …”
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Signal Enhancement for Downhole Microseismic Data Using Improved Attention Mechanism Based on Autoencoder Network by Wenxuan Ge, Qinghui Mao, Wei Zhou, Zhixian Gui, Peng Wang

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Steep‐Slope IGZO Transistor Monolithically Integrated with Initialization‐Free Ag/Ti/Hf0.8Zr0.2O2 Atomic Threshold Switch by Junmo Park, Hanggyo Jung, Deokjoon Eom, Heesoo Lee, Hyunhee Kim, Yonghoon Kim, Jongwook Jeon, Hyoungsub Kim

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Automated Recipe Generation AI Tool from Food Images using Machine Learning. Approach for Ingredient Extraction and Cooking Instructions by Lwamaza, Eddy, Nuwasiima, Happy

“…Additionally, it examines image processing techniques used in recipe generation AI tools, sourced from reputable platforms such as Google Scholar and IEEE. …”
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AS-YOLO: Enhanced YOLO Using Ghost Bottleneck and Global Attention Mechanism for Apple Stem Segmentation by Na Rae Baek, Yeongwook Lee, Dong-hee Noh, Hea-Min Lee, Se Woon Cho

“…The proposed model reduces the number of parameters and enhances the computational efficiency using the ghost bottleneck while improving feature extraction capabilities using the global attention mechanism. …”
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Virtual fragment screening for DNA repair inhibitors in vast chemical space by Andreas Luttens, Duc Duy Vo, Emma R. Scaletti, Elisée Wiita, Ingrid Almlöf, Olov Wallner, Jonathan Davies, Sara Košenina, Liuzhen Meng, Maeve Long, Oliver Mortusewicz, Geoffrey Masuyer, Flavio Ballante, Maurice Michel, Evert Homan, Martin Scobie, Christina Kalderén, Ulrika Warpman Berglund, Andrii V. Tarnovskiy, Dmytro S. Radchenko, Yurii S. Moroz, Jan Kihlberg, Pål Stenmark, Thomas Helleday, Jens Carlsson

“…We computationally dock a set of 14 million fragments to 8-oxoguanine DNA glycosylase (OGG1), a difficult drug target involved in cancer and inflammation, and evaluate 29 highly ranked compounds experimentally. …”
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Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems by Ting Fu, Joshua Stipancic, Sohail Zangenehpour, Luis Miranda-Moreno, Nicolas Saunier

“…The purpose of this research is to integrate existing computer vision methods for automated data collection and evaluate the detection, classification, and speed measurement performance of thermal video sensors under varying lighting and temperature conditions. …”
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Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences by Yihao Wang, Xuying Wang, Yixuan Zheng, Zeyuan Liu, Yu Zhang, Jiani Kang, Wenbo Xue, Jing Zhang, Yu Lei

“…To address the concern of optimization problem of China’s PM2.5 control and the limitation of computational efficiencies for traditional air quality models, we developed an integrated analysis framework to efficiently establish the identification and cost-benefit assessment of PM2.5 control pathways in China by constructing a rapid PM2.5 exposure response method based on the high-order decoupled direct method (HDDM) and coupling the sequential least square algorithm (SLSQP) and health impact assessment model. …”
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Field-programmable robotic folding sheet by Hyunkyu Park, Yongrok Jeong, Woojong Kim, Jungrak Choi, Junseong Ahn, Jun-Ho Jeong, Inkyu Park, Jung Kim

“…Electronic layouts, computational algorithms, and closed-loop control schemes present an intuitive means of blending user intent in situ, yielding a servoed, swift, and robust fold-programming process. …”
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Reconstruction and prediction of tunnel surrounding rock deformation data based on PSO optimized LSSVR and GPR models by Zhenqian Huang, Zhen Huang, Pengtao An, Jun Liu, Chen Gao, Juncai Huang

“…However, PSO-GPR-SE has a computational efficiency advantage.Overall, PSO-GPR-SE is a suitable model for predicting the deformation of surrounding rock during mountain tunnel construction.…”
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