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Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

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樓主: negation
41#
發(fā)表于 2025-3-28 18:32:24 | 只看該作者
Mengying Li,Shanliang Xue,Sijia Chengnsider the soil as a porous and finely divided medium of b- organomineral origin? whose physical structure and organisation foster the development of a multitude of specifically adapted organisms (microbial communities? roots of higher plants? macro-invertebrates).
42#
發(fā)表于 2025-3-28 20:05:57 | 只看該作者
43#
發(fā)表于 2025-3-29 00:07:24 | 只看該作者
44#
發(fā)表于 2025-3-29 03:43:53 | 只看該作者
45#
發(fā)表于 2025-3-29 10:23:01 | 只看該作者
Lov Kumar,Shashank Mouli Satapathy,Aneesh Krishnansider the soil as a porous and finely divided medium of b- organomineral origin? whose physical structure and organisation foster the development of a multitude of specifically adapted organisms (microbial communities? roots of higher plants? macro-invertebrates).
46#
發(fā)表于 2025-3-29 13:14:00 | 只看該作者
Deepanway Ghosal,Md Shad Akhtar,Asif Ekbal,Pushpak Bhattacharyyation inhibitors to control urea to ammonium and ammonium to nitrate conversions in soil, as well as use of stand-off/feed pads or housing systems during high-risk periods of N loss are important strategies to minimize N.O emissions from livestock system. The use of single or multiple mitigation opti
47#
發(fā)表于 2025-3-29 15:46:11 | 只看該作者
48#
發(fā)表于 2025-3-29 23:00:05 | 只看該作者
49#
發(fā)表于 2025-3-30 02:40:03 | 只看該作者
Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprintsusing the neural graph fingerprints than the other tested untrainable descriptors. Moreover, we demonstrate that the key fragment of molecules in crystal motif formation can be found from the trained neural graph fingerprints. Our approach is promising for crystal structure prediction.
50#
發(fā)表于 2025-3-30 07:42:28 | 只看該作者
A Multi-indicator Feature Selection for CNN-Driven Stock Index Predictiontract abstract features of each indicator, avoiding mutual interference between different indicators. Extensive experiments support that our proposed method performs well on different stock indices and achieves higher returns than the benchmark in trading simulations, providing good potential for fu
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