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Titlebook: Emerging Technologies in Computing; Third EAI Internatio Mahdi H. Miraz,Peter S. Excell,Maaruf Ali Conference proceedings 2020 ICST Institu

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樓主: monster
41#
發(fā)表于 2025-3-28 15:01:25 | 只看該作者
Conghui Tang,Tao Shen,Ning Jiaoan be called a double edge weapon from law enforcement and forensic investigation standpoint. Digital evidence collected from cloud sources, on the one hand, can present complex technical and cross-jurisdictional legal issues. This study explores the ability to retrieve possible data remnants for pC
42#
發(fā)表于 2025-3-28 18:47:04 | 只看該作者
https://doi.org/10.1007/978-3-662-28367-7and Prediction based on static analysis, are more universal, superior and widely accepted. However the higher language artifacts such as Procedures, Loops, Conditionals and Recursion which ease program development can be an hindrance to quality analysis and performance study, both in terms of time a
43#
發(fā)表于 2025-3-29 00:16:10 | 只看該作者
44#
發(fā)表于 2025-3-29 05:10:01 | 只看該作者
45#
發(fā)表于 2025-3-29 11:13:35 | 只看該作者
46#
發(fā)表于 2025-3-29 15:07:56 | 只看該作者
Theresa C. Smith,Thomas A. Oleszczukn the defence sector but is now gaining much civilian exposure and applications. Communication was mainly with submarines using extremely low and very low electromagnetic frequencies. The review covers communication using acoustic waves, electromagnetic waves, combining acoustic and radio transmissi
47#
發(fā)表于 2025-3-29 18:42:39 | 只看該作者
48#
發(fā)表于 2025-3-29 20:41:49 | 只看該作者
The Challenge for , Organizations,impression as achromatic or negative or positive. Sentiment analysis became unsophisticated due to the invention of Internet-based societal media. At present, usually people express their opinions by dint of Twitter. Henceforth, Twitter is a fascinating medium for researchers to perform data analysi
49#
發(fā)表于 2025-3-30 03:54:17 | 只看該作者
50#
發(fā)表于 2025-3-30 04:44:51 | 只看該作者
Jorge Nú?ez Jover,Luis F. Montalvo Arriete desires, is a major issue for improving the personalization of recommendations in flight search queries. Indeed, when booking travel itineraries, different customers purchase tickets according to different criteria, like price, duration of flight, lay-over time, etc. However, clustering algorithm a
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