Search Results - "Qathrady, Mimonah Al"
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Smart Healthcare: A Dynamic Blockchain-based Trust Management Model Using Subarray Algorithm
Published in IEEE access (01-01-2024)“…A growing kind of communication, the Internet of Things (IoT), links all network-capable devices worldwide. The most recent phase of the Internet of Things…”
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Journal Article -
2
An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
Published in Frontiers in plant science (11-10-2023)“…Introduction Recently, plant disease detection and diagnosis procedures have become a primary agricultural concern. Early detection of plant diseases enables…”
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Journal Article -
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SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT
Published in IEEE access (01-01-2024)“…The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet attacks that exploit IoT device vulnerabilities. This…”
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A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough
Published in IEEE access (2024)“…Cervical cancer, the second most prevalent cancer among women worldwide, is primarily attributed to the human papillomavirus (HPV). Despite advances in…”
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Journal Article -
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Infection tracing in smart hospitals
Published in 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (01-10-2016)“…Many disease infection cases are acquired and spread in hospital settings. Early detection of such infection cases is necessary to identify population at risk…”
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Conference Proceeding -
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On the Relation Between Mobile Encounters and Web Traffic Patterns: A Data-driven Study
Published 05-11-2018“…Mobility and network traffic have been traditionally studied separately. Their interaction is vital for generations of future mobile services and effective…”
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Journal Article -
7
Location-centric flow flux for improved indoor mobility models
Published in 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (01-05-2017)“…Understanding the mobile user flow flux patterns is important for numerous applications relevant to crowd movement, from information sharing, networking, to…”
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Conference Proceeding -
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Poster abstract: Location-centric relationship graph for indoor mobility using WLANs
Published in 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (01-05-2017)“…Understanding the mobile user flow flux patterns is important for numerous applications. Much of the mobility modeling studies have focused on a user-centric…”
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Conference Proceeding -
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Proactive thermal management using memory based computing
Published in 2013 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH) (01-07-2013)“…Nanoscale devices provide the capability of gigascale integration in modern electronic systems. However, such systems suffer from high defect rates and large…”
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Conference Proceeding -
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An efficient deep learning model for brain tumour detection with privacy preservation
Published in CAAI Transactions on Intelligence Technology (01-07-2023)“…Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our…”
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Journal Article -
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Enhancing Indoor BLE Distance Estimation Through Machine and Deep Learning Utilizing Anchor Information
Published in 2024 10th International Conference on Smart Computing and Communication (ICSCC) (25-07-2024)“…This study introduces a comprehensive framework to enhance distance estimation models in indoor environments by incorporating Bluetooth Low Energy (BLE) Anchor…”
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Conference Proceeding -
12
A Novel Mathematical Framework for Similarity-based Opportunistic Social Networks
Published in Pervasive and mobile computing (01-12-2017)“…In this paper we study social networks as an enabling technology for new applications and services leveraging, largely unutilized, opportunistic mobile…”
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Journal Article -
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Data-Driven Indoor Mobility Analyses, Modeling, and Encounter Classification for IoT Applications
Published 01-01-2020“…Data-driven indoor mobility models and encounter distance classification are essential elements in the design and evaluation of numerous Internet of things…”
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Dissertation