SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci by Santiago Hernández, Vivian Zhong, Jennifer A. N. Brophy

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Multimodal measurement of music engagement in a natural setting for infants, young children and parents by Yukari Tanaka, Françoise Diaz-Rojas, Masako Myowa

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FastColitisDetector-XAI: An efficient AI model utilizing sparse Autoencoder with explainable AI for ulcerative colitis diagnosis by Sumedh Vithalrao Dhole, Sangeeta R. Chougule

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Design and methodological process for assessing quasi-experiments in virtual reality environments for deepfake recognition in the artificial intelligence era by Alberto Sanchez-Acedo, Alejandro Carbonell-Alcocer, Manuel Gertrudix

“…The experiment is conducted in a virtual environment in which participants are immersed in an interact with the environment in which they visualize newspaper front pages that include contextual elements. …”
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Optical coherence tomography for early detection of crop infection by Ghada Salem Sasi, Stephen J. Matcher, Adrien Alexis Paul Chauvet

“…Conventional diagnostic methods are however often destructive, slow, or requiring visible symptoms which appear late in the infection process. …”
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RP-DETR: end-to-end rice pests detection using a transformer by Jinsheng Wang, Tao Wang, Qin Xu, Lu Gao, Guosong Gu, Liangquan Jia, Chong Yao

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An efficient and comprehensive field protocol for assessing fuel characteristics for fire behaviour modelling in Australian open forests by Jennifer J. Hollis, Miguel G. Cruz, W. Lachlan McCaw, James S. Gould, Stephanie A. Samson

“…Current fuel inventory approaches used in Australia largely rely on visual assessment methods that are subjective and lack the consistency and accuracy required for fire management applications.We describe a protocol to quantify characteristics for various fuel strata considered in Australian fire modelling applications, namely: litter and suspended dead fuels; downed wood debris; live understorey; bark; and overstorey canopy. …”
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Prediction of soybean yellow mottle mosaic virus in soybean using hyperspectral imaging by Amit Ghimire, Hong Seok Lee, Youngnam Yoon, Yoonha Kim

“…Therefore, this study aims to identify soybean yellow mottle mosaic virus (SYMMV) using the hyperspectral imaging (HSI) method combined with the machine learning (ML) technique. …”
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Detection of TuMV by a toehold switch sensor coupled with NASBA amplification in Pseudostellaria heterophylla by Yun Qiu, Shuxin Zhang, Aidi Tan, Qiang Cai, Kezhi Chen, Kaiwen Yang, Yanyang Jiao, Qiuting Lai, Chenjing Zhang, Sheng Lin, Wenxiong Lin, Xuelian Yang, Wenfei Wang

“…However, the current detection methods still have various deficiencies that limit their field application. …”
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Gas sensors and real-time video for accurate classroom occupancy detection by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Balakrishna Gokaraju, Raymond Tesireo

“…The combination of these modalities provides a robust and adaptable framework for occupancy detection, which can be scaled for different building types and configurations. This method demonstrates significant potential in reducing energy consumption and enhancing the sustainability of building management systems by providing precise occupancy data for HVAC optimization. …”
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Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery by Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao

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Advancing radiation-induced mutant screening through high-throughput technology: a preliminary evaluation of mutant screening in Arabidopsis thaliana by Zhe Li, Jinhu Mu, Yan Du, Xiao Liu, Lixia Yu, Jianing Ding, Jing Long, Jingmin Chen, Libin Zhou

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The Choice of a Profession by Blind Senior Students and their Relevance to the Labor Market by Komova N.S., Sokolov V.V.

Subjects: “…obuchayushchikhsya po programmam bakalavriata v oblasti matematiki i prikladnoi informatika [Methodical recommendations for RUMC on the organization of study in the university of students with deep visual impairment…”
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Federated learning for privacy-enhanced mental health prediction with multimodal data integration by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Non-invasive PNET grading using CT radiomics and machine learning by Faeze Salahshour, Mahsa Taherzadeh, Ghasem Hajianfar, Gholamreza Bayat, Farid Azmoudeh Ardalan, Soroush Bagheri, Arman Esmailzadeh, Majid Kahe, Sajad P. Shayesteh

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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A novel system for markerless intra-operative bone and bone fragment tracking by Marcus Tatum, Andrew Kern, Jessica E. Goetz, Geb Thomas, Donald D. Anderson

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Cross modality medical image synthesis for improving liver segmentation by Muhammad Rafiq, Hazrat Ali, Ghulam Mujtaba, Zubair Shah, Shoaib Azmat

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Multimodal image fusion for ich detection and classification using parallel Dl models by Sri Sangepu Nagaraju, S. Prince Mary, V. Pavani Chandra, Nandam Gayatri

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Computer vision versus wearables assessment of the up-on-the-toes 30-second test by R. Jaber, S.A. Zahid, A.L.F Rodacki, R. Qahwaji, J.G. Buckley

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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CobDiffMRI: a cross-conditional diffusion model for removing artefacts in undersampled magnetic resonance imaging by Jingyu Wang, Sen Dong

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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