Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans by Wenyu Xing, Yanping Yang, Yanan Zhou, Tao Jiang, Yifang Li, Yuanlin Song, Dongni Hou, Dean Ta

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A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

“…The proposed VGG19-CapsNet framework is developed and deployed in a 128-core Jetson Nano single-board computer with graphics processing support. …”
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Based on the N2N-SAMP for sparse underwater acoustic channel estimation by Zhen Wang, Zhen Wang, Maofa Wang, Yangzhen Wang, Yangzhen Wang, Zhenjing Zhu, Zhenjing Zhu, Guangtao Shang, Guangtao Shang, Jiabao Zhao, Jiabao Zhao, Ning Hu, Ning Hu

“…This novel approach integrates the N2N technique from image denoising theory with the SAMP algorithm, utilizing a constant iteration termination threshold that does not require prior information. The method leverages the U-net neural network structure to denoise noisy pilot signals, thereby restoring channel sparsity and enhancing the accuracy of channel estimation.ResultsSimulation results indicate that our proposed method demonstrates commendable channel estimation performance across various signal-to-noise ratio (SNR) conditions. …”
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Users and user study methodology: the JUBILEE project by Linda Banwell, Graham Coulson

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Community perceptions and acceptability of insecticide-treated screens for mosquito proofing of unimproved houses in Chalinze district, Tanzania: a mixed-methods study by Fadhila Kihwele, Olukayode G. Odufuwa, Olukayode G. Odufuwa, Olukayode G. Odufuwa, Olukayode G. Odufuwa, Joseph B. Muganga, Emmanuel Mbuba, Emmanuel Mbuba, Emmanuel Mbuba, Rose Philipo, Jason Moore, Jason Moore, Jason Moore, Ole Skovmand, Rune Bosselmann, John Bradley, Sarah Moore, Sarah Moore, Sarah Moore, Sarah Moore, Zawadi Mageni Mboma, Zawadi Mageni Mboma

“…Furthermore, a separate structured questionnaire was administered during ITS installation to collect information on the time required for installation and the amount of netting used per house (214) in order to assess the cost implications of rolling out ITS in the community.ResultsThe ITS were perceived to reduce the entry of mosquitoes, other insects, and crawling animals such as snakes and lizards into houses. …”
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A strategic niche management framework to scale deep energy retrofits by Thomas Hyo-min King, Michael Jemtrud

“…Mass deployment of deep energy retrofits (DERs) is essential to drive the building stock transition to net zero. However, the rate of DER adoption remains extremely low, as existing financial, technical, regulatory and social systems favour piecemeal retrofit approaches. …”
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A benefit-cost analysis quantifying the broader socioeconomic value of adult respiratory vaccination programs in Japan by Claud Theakston, Matthew Napier, Simon Brassel, Kazumasa Kamei, Shuhei Ito, Jeffrey Vietri, Diana Mendes, Jingyan Yang, Tianyan Hu, Lotte Steuten

“…This study assessed the societal return on investment in adult respiratory vaccination programs to support informed policy decisions.Research design & methods We conducted a benefit-cost analysis using static cohort models and life tables to estimate benefit-cost ratios (BCRs) and societal net benefits (NBs), monetizing health impacts through the value of statistical life and cost-of-illness methods. …”
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Increasing Cumulative Impacts of Droughts Under Climate Change Does Not Alter the Ecosystem Resilience in India by Vijaykumar Bejagam, Ashutosh Sharma

“…In this study, we analyzed the impacts of droughts on Net Primary Productivity (NPP) in India over the 21st century. …”
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BAYESIAN STATISTICAL FUSION RELIABILITY EVALUATION MODEL OF MULTI-SOURCE HETEROGENEOUS DATA by TANG Li, TANG JiaYin, CHENG ShiJuan

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Collaborating, collecting and representing: queer independent archives and their connections with GLAM institutions in Aotearoa/New Zealand by Alison S. Day

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Towards an ‘Everything Corpus’: A Framework and Guidelines for the Curation of More Comprehensive Multimodal Music Data by Mark Gotham, Brian Bemman, Igor Vatolkin

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Assessment Of Quality and Utilization of PMIS in Project Success: A case study of Integrated community Based Initiatives in Kabale District, Uganda by Prudence, Kansiime

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Analysis of the fusion of multimodal sentiment perception and physiological signals in Chinese-English cross-cultural communication: Transformer approach incorporating self-attenti... by Xin Bi, Tian Zhang

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Evaluation of the suicide registration system in Maputo and Matola, Mozambique, 2016-2018 by Eduardo Mangue Chicanequisso, Ivandra Magaia, Virgílio Ceia Francisco, Érika Valeska Rossetto, Cynthia Sema Baltazar

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Offline Arabic handwritten word recognition: A transfer learning approach by Mohamed Awni, Mahmoud I. Khalil, Hazem M. Abbas

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Novel non-destructive authentication of nine Dendrobium species using residual convolutional neural network relying on plant images and FT-NIR spectral information by Yulin Xu, Lian Li, Yuanzhong Wang, Qiang Hu

“…ResNet recognizes feature information of plant images with an accuracy of up to 88.2 %. …”
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Efficacy, Safety and Cost of Insecticide Treated Wall Lining, Insecticide Treated Bed Nets and Indoor Wall Wash with Lime for Visceral Leishmaniasis Vector Control in the Indian Su... by Dinesh Mondal, Murari Lal Das, Vijay Kumar, M Mamun Huda, Pradeep Das, Debashis Ghosh, Jyoti Priyanka, Greg Matlashewski, Axel Kroeger, Alexander Upfill-Brown, Rajib Chowdhury

“…Household interviews were conducted for socioeconomic information and intervention acceptability assessment. …”
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MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

“…In this study, we propose the Multi-Residual Attention-Based Multi-Stream 3D-ResNet-BiLSTM (MHRA-MS-3D-ResNet-BiLSTM) model, designed to integrate various RS data types, including Sentinel-1/2 imagery, Daymet climate data, and soil grid information, for improved county-level U.S. soybean yield prediction. …”
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Identification and Patient Benefit Evaluation of Machine Learning Models for Predicting 90-Day Mortality After Endovascular Thrombectomy Based on Routinely Ready Clinical Informati... by Andrew Tik Ho Ng, Lawrence Wing Chi Chan

“…However, most algorithms provided a greater net benefit than the traditional prediction scores. …”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…We test several state-of-the-art methods for semantic segmentation (U-Net, UNet++, ResUnet). The best result was achieved by a ResUnet model (96.4%). …”
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