Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training by Shengjie Tang, Cheng Chen, Qi Qin, Xiaoping Liu

“…Photonic neural networks are emerging as promising computing platforms for artificial intelligence (AI). Particularly, integrated photonic unitary neural networks (IPUNNs) are capable of mitigating gradient vanishing/explosion problems when deeper neural networks are constructed. …”
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An open data collection of 3D tool and equipment models for neonatology by Serena Bardelli, Gianpaolo Coro, Rosa T. Scaramuzzo, Massimiliano Ciantelli, Armando Cuttano

“…We used free-to-use photogrammetry and structure-from-motion software and computational platform for 3D object reconstruction to digitalize the physical clinical instruments typically used during maternal and newborn care. …”
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Virtual Reality Design and Realization of Interactive Garden Landscape by Xuanfeng Zhang, Song Yan, QuanQi

“…In this paper, we study the implementation method of virtual landscape gardening system and establish a virtual environment based on the ancient city of Yangcheng. On the computer platform, we study and realize a virtual roaming system of medium complexity with more complete roaming functions. …”
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Association of autistic personality traits with the EEG scores in non-clinical subjects during the facial video viewing by A. N. Savostyanov, D. A. Kuleshov, D. I. Klemeshova, M. S. Vlasov, A. E. Saprygin

“…A software information module of the experimental computer platform “EEG_Self-Construct” was developed and tested in the framework of this study. …”
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THE SOLANUM TUBEROSUM KNOWLEDGE BASE: THE SECTION ON MOLECULAR-GENETIC REGULATION OF METABOLIC PATHWAYS by T. V. Ivanisenko, O. V. Saik, P. S. Demenkov, V. K. Khlestkin, E. K. Khlestkina, N A. Kolchanov, V. А. Ivanisenko

“…SOLANUM TUBEROSUM is a computer platform for complex intellectual processing of large data bodies, including (1) automatic analysis of scientific publications and databases for extraction of information on genetics, markers, breeding, diagnostics, protection and storage technologies for potato, (2) formalized representation of extracted information in the knowledge base, (3) user access to these data, (4) analysis and visualization of query results. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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