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Titlebook: Intelligent Informatics; Proceedings of the I Ajith Abraham,Sabu M Thampi Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 201

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樓主: Madison
31#
發(fā)表于 2025-3-26 23:34:17 | 只看該作者
32#
發(fā)表于 2025-3-27 04:53:07 | 只看該作者
33#
發(fā)表于 2025-3-27 05:23:38 | 只看該作者
34#
發(fā)表于 2025-3-27 11:39:13 | 只看該作者
35#
發(fā)表于 2025-3-27 15:49:04 | 只看該作者
Design of SCFDMA System Using MIMO,MA system using transmitter diversity technique and receiver diversity technique. We have compared the performance of these systems with the conventional SCFDMA system. The main focus is on design of SCFDMA system using SFBC and receiver diversity which enables desired system to combat detrimental effects of fast fading.
36#
發(fā)表于 2025-3-27 18:48:16 | 只看該作者
37#
發(fā)表于 2025-3-28 01:00:13 | 只看該作者
Protein Secondary Structure Prediction Using Machine Learning,. We identify and implement a set of features that mostly deal with the contextual information. The proposed approach is evaluated with a benchmark dataset, and it yields encouraging performance to explore it further. We obtain the highest predictive accuracy of 61.26% and segment overlap score (SOV) of 52.30%.
38#
發(fā)表于 2025-3-28 03:37:51 | 只看該作者
Comparison of Question Answering Systems,“Medical QA systems”. The paper aims to survey some open and restricted domain QA systems. The surveyed QA systems though found to be useful to obtain information showed some limitations in various aspects which should resolved for the user satisfaction.
39#
發(fā)表于 2025-3-28 06:26:26 | 只看該作者
Investigation of Short Base Line Lightning Detection System by Using Time of Arrival Method,ere analysed using the LabVIEW software. Improvements in the lightning discharge locating system can be made by adopting a multi-station technique instead of the currently adopted single-station technique.
40#
發(fā)表于 2025-3-28 13:29:02 | 只看該作者
Evolutionary Approach for Classifier Ensemble: An Application to Bio-molecular Event Extraction,tures. We identify and implement a rich set of statistical and linguistic features that represent various morphological, syntactic and contextual information of the candidate bio-molecular trigger words. Evaluation on the BioNLP 2009 shared task datasets show the overall recall, precision and F-meas
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