Automatic Video Summarization Using HEVC and CNN Features by Issa, Obada

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Static Video Summarization Using Video Coding Features with Frame-level Temporal Sub-Sampling and Deep Learning by Issa, Obada

“…There is an abundance of digital video content due to the cloud’s phenomenal growth and security footage, it is therefore essential to summarize these videos in data centers. This paper offers innovative approaches to the problem of key-frame extraction for the purpose of video summarization. …”
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The Scalability of Third Generation Photovoltaics: Deposition Techniques and Modularity by Ayoub, Mohamad

“…This paper reviews and summarizes the recent trends and research on the deposition techniques and modularity of TGPV. …”
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Privacy-preserving artificial intelligence in healthcare: Techniques and applications by Nazish Khalid (17685063)

“…Prominent privacy-preserving techniques such as Federated Learning and Hybrid Techniques are elaborated along with potential privacy attacks, security challenges, and future directions.…”

Complex Coacervation of Plant-Based Proteins and Polysaccharides: Sustainable Encapsulation Techniques for Bioactive Compounds by Mohammad Alrosan (20089263)

An overview of cluster-based image search result organization: background, techniques, and ongoing challenges by Tekli, Joe

“…Third, we describe and categorize various steps involved in cluster-based ISRO, ranging over image representation, similarity computation, image clustering or grouping, and cluster-based search result visualization. Fourth, we briefly summarize and discuss ongoing research challenges and future directions, including high-dimensional feature indexing, joint word image modeling and implicit semantics, describing images based on aesthetics, automatic similarity metric learning, combining ensemble clustering methods, performing adaptive clustering, allowing dynamic trade-off between clustering quality and efficiency, diversifying image search results, integrating user feedback, and adapting results to mobile devices.…”
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Multimodal Learning Techniques for Time Series Forecasting in Renewable Energy Systems: A Comprehensive Survey by Majdi Mansouri (16869885)

“…Then, this paper reviews multimodal learning techniques based on four main aspects, i.e., classify fusion techniques, examine model architectures, showcase practical application scenarios, and summarize benchmark datasets. …”

Developing a framework for network security behavior integrated with the organization data management system to predict the threats by ISMAIL, HANI ABDELHADI ABDULLAH

“…This study aims to develop a framework for analyzing network security behavior integrated with the current data management system and to predict the threats for administrator remedial actions by using Machine-Learning techniques The primary objective of the study is to automatically provide an optimum set of rules that are summarized and generalized across various security devices for professionals to configure the best security solution with minimum configuration efforts. …”
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Insights into rechargeable Zn-air batteries for future advancements in energy storing technology by Iqbal, Anum

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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

“…Municipal Solid Waste (MSW) requires categorization into a number of types, including bio, plastic, glass, metal, paper, etc. The most efficient techniques proposed by researchers so far include neural networks. …”

Impact of inter-relay cooperation on the performance of FSO systems with any number of relays. (c2015) by Noun, Zeina K.

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A Study on the Critical Success Factors using BIM for Precast Structures in the UAE’s Construction Industry by Ahmed, Muneera AbdulKarim

“…In this study, the qualitative and quantitative approach including suitable tools and techniques applied. In addition, in this study, the data collection methods used was 8 interviews, 44 surveys, and 5 pilot testing. …”
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The pricing methods adopted by Lebanese manufacturers. (c1995) by Masri, Mazen S.

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Curable metastatic colorectal cancer by Abdalla, Eddie

“…This article summarizes the current multidisciplinary approach to treatment of CLMs. …”
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Cortical EEG Source Localization of Focal Epilepsy by Siyam, Wisal Elfatih Mohamed

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A simple computer model based on visualization, analogy and collaboration by Khalife, J.T.

“…In this paper, we examine major difficulties encountered by novices when taking an introductory-level programming course and we summarize the potential of visualization, collaboration, and analogy techniques in alleviating such difficulties. …”
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A Brief Review on the Development Progress of High-Efficiency Klystrons by Soumaya Mandal (22467694)

“…This paper presents a brief review on recently emerging bunching formation techniques and configurations, including the Core Oscillation Method (COM), Core Stabilization Method (CSM), Bunch Alignment Collection method (BAC), Kladistron principle, Multigap output structures, novel architecture of Two Stage Multibeam klystrons, and related optimization techniques. …”

Oxygen-deficient perovskites for oxygen evolution reaction in alkaline media: a review by Ahmed Badreldin (9574341)

“…Experimental, analytical, and computational techniques dedicated to the understanding of the improvement of OER activities upon oxygen vacancy induction are summarized in this work. …”

New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications by Mohieddine Benammar (18103039)

“…The eZDSP-F28335 platform has been used for practical implementation and results validation of the proposed technique. The contributions of this work are summarized as follows: (1) introducing a new approximation algorithm with high precision and application-based flexibility; (2) introducing a new rational approximation formula that outperforms literature alternatives with the algorithm at higher accuracy requirement; and (3) presenting a practical evaluation index for rational approximations in the literature.…”

An Optimized Influencer Rating Model using a Joint Event and Theme based Approach by Srour, Ali

“…However, influencers might play different roles when speaking about misinformation and conspiracy during sensitive and trending event. While different techniques were developed to select influencers over social networks, identifying influencers remains an evolving topic due to the dynamic nature of the social media users and use in addition to their extremely increasing growth which attracts high research interests across multiple disciplines including data science, psychology, sociology, and different human sciences all of which have been studying the topic from multiple angles. …”
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