GEOMETRIC MODELS OF MULTI-ANGLE IMAGES AND PROJECTIVE COMPENSATION OF CAMERA MOTION by V. Yu. Tsviatkou

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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…A downstream case study on YTHDF1 focuses on analyzing interpretable spatial binding patterns, using a large-scale prediction dataset and CLIP-seq peak alignment. The results confirm that the model captures localized binding signals and spatial consistency with experimental annotations. …”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…The key to accurate DTA prediction lies in selecting appropriate computational models to effectively extract features from drug molecular structures and target protein structures. …”
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Risk prediction in diffuse large B-cell lymphoma improves when combining baseline PET features with interim PET response by Jakoba J. Eertink, Martijn W. Heymans, Sanne E. Wiegers, Annelies L. Bes, Ulrich Duhrsen, Andreas Huttmann, Lars Kurch, Sally F. Barrington, George N. Mikhaeel, Pieternella J. Lugtenburg, Luca Ceriani, Emanuele Zucca, Tamas Gyorke, Sandor Czibor, Gerben J.C. Zwezerijnen, Ronald Boellaard, Josee M. Zijlstra, Christine Hanoun

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Bike Attitudes Predict Behaviour Change, more than Vice Versa: A Norwegian Quasi-replication of Kroesen and Colleagues (2017) by Lars Even Egner, Hanne Beate Sundfør, Aslak Fyhri

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Study on Outdoor Spectral Inversion of Winter Jujube Based on BPDF Models by Yabei Di, Jinlong Yu, Huaping Luo, Huaiyu Liu, Lei Kang, Yuesen Tong

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Global, regional, and national trends in the epidemiology of aortic aneurysms among women of childbearing age, 1990–2021, with predictions through 2036 by Wei Wang, Yong Shi, Xinyao Li, Tianxiang Gu, Enyi Shi

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Circadian rhythm related genes signature in glioma for drug resistance prediction: a comprehensive analysis integrating transcriptomics and machine learning by Junbo Liao, Yingxing Duan, Xiangwang Xu, Yaxue Liu, Chaohong Zhan, Gelei Xiao

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Deciphering the impact of sepsis phenotypes on improving clinical outcome predictions: a multicenter retrospective analysis based on critical care in China by Luyao Zhou, Weimin Zhang, Min Shao, Cui Wang, Yu Wang

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Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage by Lingxu Chen, Xiaochen Wang, Sihui Wang, Xuening Zhao, Ying Yan, Mengyuan Yuan, Shengjun Sun

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Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis by Tariq Ali, Kennedy C. Onyelowe, Muhammad Sarmad Mahmood, Muhammad Zeeshan Qureshi, Nabil Ben Kahla, Aïssa REZZOUG, Ahmed deifalla

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Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes. by Nishanthi Periyathambi, Durga Parkhi, Yonas Ghebremichael-Weldeselassie, Vinod Patel, Nithya Sukumar, Rahul Siddharthan, Leelavati Narlikar, Ponnusamy Saravanan

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Prediction of Future Land Use and Land Cover Change Impact on Peak Flood: In Case of Babur Watershed, Tekeze Basin, Ethiopia by Kahsu Hubot, Haddush Goitom, Gebremeskel Aregay, Teame Yisfa

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Machine Learning-Based Prediction of Unplanned Readmission Due to Major Adverse Cardiac Events Among Hospitalized Patients with Blood Cancers by Nguyen Le BPharm, Sola Han PhD, Ahmed S. Kenawy MS, Yeijin Kim MS, Chanhyun Park PhD

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Remaining Useful Life Prediction of Bearings via Semi-Supervised Transfer Learning Based on an Anti-Self-Healing Health Indicator by Jung-Woo Kim, Kyoung-Su Park

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Inclusion of Muscle Forces Affects Finite Element Prediction of Compression Screw Pullout but Not Fatigue Failure in a Custom Pelvic Implant by Yuhui Zhu, Ata Babazadeh-Naseri, Matthew R. W. Brake, John E. Akin, Geng Li, Valerae O. Lewis, Benjamin J. Fregly

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Paratubular basement membrane insudative lesions predict renal prognosis in patients with type 2 diabetes and biopsy-proven diabetic nephropathy. by Koki Mise, Yutaka Yamaguchi, Junichi Hoshino, Toshiharu Ueno, Akinari Sekine, Keiichi Sumida, Masayuki Yamanouchi, Noriko Hayami, Tatsuya Suwabe, Rikako Hiramatsu, Eiko Hasegawa, Naoki Sawa, Takeshi Fujii, Shigeko Hara, Hitoshi Sugiyama, Hirofumi Makino, Jun Wada, Kenichi Ohashi, Kenmei Takaichi, Yoshifumi Ubara

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Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization by Yuexing Cai, Cuiyin Huang, Fengqin Zheng, Guangtao Li, Sheng Lai, Liyun Zhu, Qiuyu Zhu

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A novel prediction method for low wind output processes under very few samples based on improved W‐DCGAN by Shihua Liu, Han Wang, Weiye Song, Shuang Han, Jie Yan, Yongqian Liu

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Heat syndrome types prediction of traditional Chinese medicine in acute ischemic stroke through deep learning: a pilot study by Xiongwu Yu, Xiongwu Yu, Lingqian He, Qi Wang, Zhongyun Zhang, Zhongyun Zhang, Huaiqiu Zhu, Huaiqiu Zhu, Juexian Song

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