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Titlebook: VR Integrated Heritage Recreation; Using Blender and Un Abhishek Kumar Book 2020 Abhishek Kumar 2020 Virtual Reality.Rendering.Texturing.3D

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21#
發(fā)表于 2025-3-25 03:38:02 | 只看該作者
Abhishek Kumarn three datasets: English (CLEF2017 mSpRL, SpaceEval) and Polish (PST2.0). We propose a novel procedure for joint relation elements discovery and classification. It significantly reduces the number of possible triplets checked for representing relation instances. This results in significant improvem
22#
發(fā)表于 2025-3-25 07:48:13 | 只看該作者
23#
發(fā)表于 2025-3-25 13:24:04 | 只看該作者
Abhishek Kumarultural runoff. This study applied machine learning (ML) techniques to predict and classify contaminant presence in Mexican water bodies using publicly available datasets. The objectives were to collect and analyze water quality data, develop predictive models, implement ML algorithms?for classifica
24#
發(fā)表于 2025-3-25 18:01:41 | 只看該作者
25#
發(fā)表于 2025-3-25 21:03:26 | 只看該作者
Abhishek Kumarsifiers in the context of emotion recognition. The primary focus is on decoding valence-arousal emotions, with special attention to how EEG bands are represented in relation to time and channels. The study comprises pre-processing and feature extraction from the multimodal DEAP dataset, which contai
26#
發(fā)表于 2025-3-26 01:20:14 | 只看該作者
27#
發(fā)表于 2025-3-26 08:16:30 | 只看該作者
28#
發(fā)表于 2025-3-26 09:41:28 | 只看該作者
Abhishek Kumarnew cryptanalytic approaches. While current empirical results show promise, the extent to which such methods may outperform classical cryptanalytic approaches is still somewhat unclear..In this work, we initiate exploration of the theory of ML-based cryptanalytic techniques, in particular providing
29#
發(fā)表于 2025-3-26 13:08:06 | 只看該作者
30#
發(fā)表于 2025-3-26 19:31:05 | 只看該作者
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