A Decision Modelling Approach for Security Modules of Delegation Methods in Mobile Cloud Computing using Probabilistic Interval Neutrosophic Hesitant Fuzzy Set by AL HANTOOBI, SENDEYAH

“…Overall, the proposed framework provides a useful benchmark for evaluating other Security Modules of delegation methods in MCC. …”
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A novel mobile and vehicular Ad Hoc cloud framework for intursion detection. (c2017) by Dbouk, Toufic H

“…The experiments demonstrate various improvements achieved by our framework. Based on our IOD module, our approach is capable of significantly reducing energy consumption, execution time, and number of selected computational nodes.…”
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Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework by Tayyabah Hasan (18427887)

“…Alternatively, quantum computing (QC) appears to be a prospect of more or less every typical computing problem. The framework is basically a merger of a deep learning (DL) agent deployed at the network edge with a quantum memory module (QMM). …”

Analysis of Multi-User-Based UAV System With Outdated CSI by Parvez Shaik (21633041)

“…A generic framework in the form of closed-form analytical expressions for outage probability (OP), asymptotic OP, and the average symbol error rate of higher-order quadrature amplitude modulation (QAM) schemes such as hexagonal QAM, rectangular QAM, and cross QAM are derived. …”

Development of a Best-Fit ERP Identifier Model for the Public Sector in the UAE by Al Dhaheri, Saif Juma

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The Effectiveness of Problem-Based Learning Strategy in STEM Education for Enhancing Students’ 21st Century-Skills by El Sayary, Areej Mohamed Adel

“…These three types of learning set as a conceptual framework that has guided this study. The main purpose of this study is to measure to what extent using the PBL strategy in STEM education enhances students’ development of the 21st century skills :cognitive skills, collaborative skills, and content knowledge? …”
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Building semantic trees from XML documents by Tekli, Joe

“…XSDF consists of four main modules for: (i) linguistic pre-processing of simple/compound XML node labels and values, (ii) selecting ambiguous XML nodes as targets for disambiguation, (iii) representing target nodes as special sphere neighborhood vectors including all XML structural relationships within a (user-chosen) range, and (iv) running context vectors through a hybrid disambiguation process, combining two approaches: concept-basedand context-based disambiguation, allowing the user to tune disambiguation parameters following her needs. …”
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