神秘
发表于 2025-3-28 15:15:40
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招人嫉妒
发表于 2025-3-28 20:38:36
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庄严
发表于 2025-3-29 01:35:26
https://doi.org/10.1007/978-3-319-11629-7adaptive networks; algorithms; computer networks; computer science; computer technology; formal methods; i
floodgate
发表于 2025-3-29 04:40:06
G. LalithaManohar,A. T. Praveen Kumar,K. R. Subhashini logic indiverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design an978-3-319-83650-8978-3-319-47054-2Series ISSN 1860-949X Series E-ISSN 1860-9503
无所不知
发表于 2025-3-29 08:37:00
Incorporating First-Order Unification into Functional Language via First-Class Environments,tion into functional programming languages. In this paper, we first give the syntax of a simple functional language with unifications. Second, we give its operational semantics in the style of Kahn’s natural semantics. Finally, we introduce some related works and show the future direction of our wor
COKE
发表于 2025-3-29 14:14:14
Software Development for Autonomous Unmanned Aerial Vehicle,m-based flight control system for small UAVs that can be used for autonomous exploration in unknown urban environments. In particular the hardware and software architectures used in the design are developed. The proposed design was tested in a series of flights to urban obstacle setup where the UAV
pester
发表于 2025-3-29 18:21:41
Variable Block Based Motion Estimation Using Hexagon Diamond Full Search Algorithm (HDFSA) via Bloce block size based on the pixels changes that occur during the motion estimation process. In order to evaluate the performance of the variable block based Hexagon Diamond Full Search Algorithm, superior algorithms are used to compare its performance in terms of average Peak Signal to Noise Ratio (PS
Anhydrous
发表于 2025-3-29 19:59:53
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大沟
发表于 2025-3-30 00:28:55
Shin-ya Nishizakindamentally dissimilar from each other in terms of their decision variables. This solution approach has been referred to as modelling to generate-alternatives (MGA). This chapter provides an efficient computational procedure for simultaneously generating multiple different alternatives to an optimal
Fulsome
发表于 2025-3-30 06:39:55
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