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Titlebook: Excel-VBA; From Solving Mathema Tariq Muneer,Stoyanka Ivanova Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li

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樓主: inroad
41#
發(fā)表于 2025-3-28 17:55:08 | 只看該作者
2198-7246 onomics, agricultural economics.Features country specific stThis volume presents new empirical methods and applications in economics with special interest in advances in empirical macroeconomics, microeconomics, financial economics, international economics, and agricultural economics. Featuring sele
42#
發(fā)表于 2025-3-28 19:09:16 | 只看該作者
R. Lahri,S. P. Joshi,B. Bastanionous firings of a subgroup of neurons, and if a corrupted input pattern is presented, the network is shown to be able to retrieve the perfect one, that is it has the function of associative memory. And we also notice some phenomena in our simulation that still have not been reported elsewhere in our knowledge.
43#
發(fā)表于 2025-3-29 01:08:37 | 只看該作者
SMT-Based Modular Analysis of Sequential Systems Code, theory for reasoning about linked lists, which comprise most data structures in systems code. We discuss extensions to standard SMT solvers to tackle these issues in the context of the HAVOC verifier.
44#
發(fā)表于 2025-3-29 06:03:54 | 只看該作者
45#
發(fā)表于 2025-3-29 08:41:12 | 只看該作者
L. Stocchi,H. Nelsontte der achtziger Jahre ein ausgepr?gter . in einigen St?dten der C?te d’Azur (Nizza, Monte Carlo, Cannes) entwickelt, der ebenfalls zu einem bedeutenden Wirtschaftsfaktor für die Region geworden ist. Die jeweils im September beginnende Saison der Kongresse und Tagungen bringt vor allem den ans?ssig
46#
發(fā)表于 2025-3-29 11:39:43 | 只看該作者
Design of the SNNS Neural Network Simulatoral Basic in an object-oriented way. The issue here is not how much Visual Basic you already know - it is that you want to learn about object- oriented programming techniques. With regard to the first goal of the book, it is my feeling that a discussion of the underlying concepts of object orientatio
47#
發(fā)表于 2025-3-29 17:02:55 | 只看該作者
48#
發(fā)表于 2025-3-29 20:47:11 | 只看該作者
49#
發(fā)表于 2025-3-30 01:59:05 | 只看該作者
Using Machine Learning for DoS Attacks Diagnosticsments. It was made the event’s features number reduction in datasets to assess the influence of this number on the accuracy of classification. We come to certain conclusions about ML methods implementation in Intrusion Detection Systems (IDS) especially for DoS attacks diagnostics.
50#
發(fā)表于 2025-3-30 07:50:39 | 只看該作者
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