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Titlebook: Evolution in Computational Intelligence; Proceedings of the 9 Vikrant Bhateja,Jinshan Tang,Ranjita Das Conference proceedings 2022 The Edit

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31#
發(fā)表于 2025-3-26 21:56:34 | 只看該作者
Introduction to Computational Techniques,arch structure of web or some algorithms that use Web-Content-Mining in order to search the content of documents, whereas some algorithm uses the combination of both algorithms. In this paper, the comparative study on different page-rank algorithms is discussed and found.
32#
發(fā)表于 2025-3-27 01:25:20 | 只看該作者
33#
發(fā)表于 2025-3-27 07:48:50 | 只看該作者
An Introduction to Oceanography,sing a deep learning classifier model at the subject level. The results obtained using a model trained with data augmentation show a significant increase of 6% in the performance of the classification model.
34#
發(fā)表于 2025-3-27 11:12:07 | 只看該作者
35#
發(fā)表于 2025-3-27 14:48:02 | 只看該作者
,Deep Learning Algorithms for Object Detection—A Study, of these algorithms is acceptable in the real environment. This paper compares the SSD, YOLOv3 and YOLOv4 for detecting objects in the indoor environment and discusses the aspects of sparse and dense prediction for the various deep learning algorithms used for object detection.
36#
發(fā)表于 2025-3-27 19:13:53 | 只看該作者
37#
發(fā)表于 2025-3-27 23:58:12 | 只看該作者
Conference proceedings 2022ld at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various eng
38#
發(fā)表于 2025-3-28 03:58:00 | 只看該作者
An Improved Approach for Automated Essay Scoring with LSTM and Word Embedding,ing. Both types of approaches are not fulfilling essay evaluation and not able to retrieve semantic information from essays. Here we are evaluating the essay with Word2Vec and Long Short-Term Memory (LSTM) with K-Fold cross-validation and we got an accuracy of 85.35.
39#
發(fā)表于 2025-3-28 09:58:32 | 只看該作者
Comparative Performance Analysis of Recent Evolutionary Algorithms,aluation has become prominent. In this paper, we have summarized the algorithmic framework of EAs and presented the computational performances of four recent EAs, tested upon a set of fifteen CEC-2015 benchmark functions.
40#
發(fā)表于 2025-3-28 11:57:30 | 只看該作者
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