Titlebook: Intelligent Systems, Technologies and Applications; Proceedings of ISTA Sabu M. Thampi,Ljiljana Trajkovic,Deepak Mishra Conference proceed

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書目名稱Intelligent Systems, Technologies and Applications影響因子(影響力)




書目名稱Intelligent Systems, Technologies and Applications影響因子(影響力)學科排名




書目名稱Intelligent Systems, Technologies and Applications網(wǎng)絡(luò)公開度




書目名稱Intelligent Systems, Technologies and Applications網(wǎng)絡(luò)公開度學科排名




書目名稱Intelligent Systems, Technologies and Applications被引頻次




書目名稱Intelligent Systems, Technologies and Applications被引頻次學科排名




書目名稱Intelligent Systems, Technologies and Applications年度引用




書目名稱Intelligent Systems, Technologies and Applications年度引用學科排名




書目名稱Intelligent Systems, Technologies and Applications讀者反饋




書目名稱Intelligent Systems, Technologies and Applications讀者反饋學科排名

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Sabu M. Thampi,Ljiljana Trajkovic,Deepak MishraCovers various aspects of intelligent systems technologies and their applications.Written by recognized experts in the field.A valuable asset for students, researchers and practitioners alike

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,A Modification to the Nguyen–Widrow Weight Initialization Method,is identified through statistical analysis in Nguyen–Widrow weight initialization method. The value of . is varied from 1 to 10 and is tested on nine function approximation tasks. The results are compared for each value of . using single-tail t-test. An optimal value of . is derived, and a new weight initialization technique is hence proposed.

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Intelligent Systems, Technologies and Applications978-981-13-6095-4Series ISSN 2194-5357 Series E-ISSN 2194-5365

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,Intrinsic Evaluation for English–Tamil Bilingual Word Embeddings,have a low rating. The measures are quantified further to ensure consistency in the dataset, mimicking the cognitive phenomena. Henceforth, the dataset can be used by non-native speakers, with minimal effort. We also present some inferences and insights into the semantics captured by word vectors and human cognition.

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Variant of Nearest Neighborhood Fingerprint Storage System by Reducing Redundancies,st neighborhood method reduces the efficiency. In this paper, we propose nearest neighborhood method by reducing redundancies for better efficiency. Comparative study of these proposed systems with existing scheme is done. As a result, we found out that, even though the complexity of algorithm is high, storage will be efficient.

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