Flight Trajectory Prediction Based on Automatic Dependent Surveillance-Broadcast Data Fusion with Interacting Multiple Model and Informer Framework by Fan Li, Xuezhi Xu, Rihan Wang, Mingyuan Ma, Zijing Dong

“…The results demonstrate that the IMM-Informer framework has notable prediction error reductions and significantly outperforms the prediction accuracies of the standalone sequence prediction network models.…”
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A sequential-generation-based intelligent method for layout of pipeline supports by Jingjing Wu, Qichang He

“…Finally, the proposed method’s validity was confirmed via real-world design cases, demonstrating an accuracy of 91.55% with minimal errors and a 40-fold reduction in the design cycle.…”
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Experimental Validation of Virtual Torque Sensing for Wind Turbine Gearboxes Based on Strain Measurements by Jelle Bosmans, Simone Gallas, Victor Smeets, Matteo Kirchner, Luk Geens, Jan Croes, Wim Desmet

“…Monitoring the torque paves the way for the calculation of remaining useful lifetime, leading to cost reductions through improved reliability and maintenance planning. …”
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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

“…Three deep learning architectures (U-net, Encoder-Decoder, and Decoder models) are employed and trained to predict the aerodynamic characteristics of Flettner rotors. …”
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HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures by M. Rus, M. Rus, H. Mihanović, M. Ličer, M. Ličer, M. Kristan

“…Results show that HIDRA3 outperforms HIDRA2 and the Mediterranean basin Nucleus for European Modelling of the Ocean (NEMO) setup of the Copernicus Marine Environment Monitoring Service (CMEMS) by <span class="inline-formula">∼</span> 15 % and <span class="inline-formula">∼</span> 13 % mean absolute error (MAE) reductions at high SSH values, creating a solid new state of the art. …”
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An integrated deep convolutional neural networks framework for the automatic segmentation and grading of glioma tumors using multimodal MRI scans by Otung John Peter Odong, Mohammed Abo-Zahhad, Moataz Abdelwahab

“…The segmentation network utilizes the encoder for feature extraction and dimensionality reduction, while the decoder reconstructs the output to the original input size. …”
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Experimental Study of the Kinematics of a Double-Row Planetary Mechanism Using Two Elliptical External Gears by A. A. Prikhodko, N. N. Belina, A. V. Novitskiy, M. M. Shchetinin

“…The confidence interval of measuring errors at a reliability level of 95% was 0.16±0.08° for the first version of the mechanism, 0.57±0.22° — for the second version, and 0.08±0.26° — for the third. …”
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RNA methyltransferase SPOUT1/CENP-32 links mitotic spindle organization with the neurodevelopmental disorder SpADMiSS by Avinash V. Dharmadhikari, Maria Alba Abad, Sheraz Khan, Reza Maroofian, Tristan T. Sands, Farid Ullah, Itaru Samejima, Yanwen Shen, Martin A. Wear, Kiara E. Moore, Elena Kondakova, Natalia Mitina, Theres Schaub, Grace K. Lee, Christine H. Umandap, Sara M. Berger, Alejandro D. Iglesias, Bernt Popp, Rami Abou Jamra, Heinz Gabriel, Stefan Rentas, Alyssa L. Rippert, Christopher Gray, Kosuke Izumi, Laura K. Conlin, Daniel C. Koboldt, Theresa Mihalic Mosher, Scott E. Hickey, Dara V. F. Albert, Haley Norwood, Amy Feldman Lewanda, Hongzheng Dai, Pengfei Liu, Tadahiro Mitani, Dana Marafi, Hatice Koçak Eker, Davut Pehlivan, Jennifer E. Posey, Natalie C. Lippa, Natalie Vena, Erin L. Heinzen, David B. Goldstein, Cyril Mignot, Jean-Madeleine de Sainte Agathe, Nouriya Abbas Al-Sannaa, Mina Zamani, Saeid Sadeghian, Reza Azizimalamiri, Tahere Seifia, Maha S. Zaki, Ghada M. H. Abdel-Salam, Mohamed S. Abdel-Hamid, Lama Alabdi, Fowzan Sami Alkuraya, Heba Dawoud, Aya Lofty, Peter Bauer, Giovanni Zifarelli, Erum Afzal, Faisal Zafar, Stephanie Efthymiou, Daniel Gossett, Meghan C. Towne, Raey Yeneabat, Belen Perez-Duenas, Ana Cazurro-Gutierrez, Edgard Verdura, Veronica Cantarin-Extremera, Ana do Vale Marques, Aleksandra Helwak, David Tollervey, Sandeep N. Wontakal, Vimla S. Aggarwal, Jill A. Rosenfeld, Victor Tarabykin, Shinya Ohta, James R. Lupski, Henry Houlden, William C. Earnshaw, Erica E. Davis, A. Arockia Jeyaprakash, Jun Liao

“…Abstract SPOUT1/CENP-32 encodes a putative SPOUT RNA methyltransferase previously identified as a mitotic chromosome associated protein. …”
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