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Titlebook: Innovative Computing Technology; First International Pit Pichappan,Hojat Ahmadi,Ezendu Ariwa Conference proceedings 2011 Springer-Verlag G

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樓主: Coronary-Artery
51#
發(fā)表于 2025-3-30 10:20:19 | 只看該作者
52#
發(fā)表于 2025-3-30 13:06:51 | 只看該作者
53#
發(fā)表于 2025-3-30 17:50:38 | 只看該作者
Target Tracking on Re-entry Based on an IWO Enhanced Particle Filterxperts. Since mathematical models for ballistic targets and sensors are subject to nonlinearity and uncertainty, conventional estimation methodologies cannot be utilized. In this study, a new meta-heuristic particle filtering (PF) strategy established upon the nature-inspired invasive weed optimizat
54#
發(fā)表于 2025-3-30 22:06:13 | 只看該作者
Knowledge Discovery in Discrete Event Simulation Output Analysisting them seems impossible. In this paper we use an innovative methodology that combines simulation and data mining techniques to discover knowledge that can be derived from results of simulations. Data used in simulation process, are independent and identically distributed with a normal distributio
55#
發(fā)表于 2025-3-31 03:10:35 | 只看該作者
56#
發(fā)表于 2025-3-31 05:45:24 | 只看該作者
57#
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58#
發(fā)表于 2025-3-31 15:58:04 | 只看該作者
Dynamics Invariant Extension of Arrays in Daikon Like Toolst and have a high quality, efficient and maintainable software. In order to perform these processes, invariants can useful and help programmers and testers. Arrays and pointers are frequent data types and are used in program code repeatedly. Because of this conventional use, these two data types can
59#
發(fā)表于 2025-3-31 20:23:10 | 只看該作者
Theoretical Feasibility of Conditional Invariant Detection and also to reach a high quality, efficient and maintainable software. Invariants, as rather always true properties of program context, can help developers to do some aspect of software engineering more easily; therefore any improvement in extracting of more relevant invariant can help software eng
60#
發(fā)表于 2025-3-31 21:46:28 | 只看該作者
Managing Network Dynamicity in a Vector Space Model for Semantic P2P Data Integrationt aims to combine the advantages of data integration and P2P technologies to overcome centralized solutions shortcomings. However, dynamicity and large scale are the most difficult challenges faced for efficient solutions. In this paper, we investigate P2P computing and data integration fundamentals
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