Search Results - "2023 International Wireless Communications and Mobile Computing (IWCMC)"

Overview of single-stage object detection models: from Yolov1 to Yolov7 by Yasmine, Ghazlane, Maha, Gmira, Hicham, Medromi

“…Recently, with the rise of Artificial Intelligence (AI) and computer vision techniques, object detection using visual automated methods has attracted much…”
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Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning by Rjoub, Gaith, Bentahar, Jamal, Wahab, Omar Abdel

“…Autonomous driving has been gaining a lot of attention in the field of transportation technology in recent years. The use of autonomous vehicles has the…”
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Performance Optimization of Energy-Harvesting Underlay Cognitive Radio Networks Using Reinforcement Learning by Tashman, Deemah H., Cherkaoui, Soumaya, Hamouda, Walaa

“…In this paper, a reinforcement learning technique is employed to maximize the performance of a cognitive radio network (CRN). In the presence of primary users…”
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Federated Learning Meets Blockchain to Secure the Metaverse by Moudoud, Hajar, Cherkaoui, Soumaya

“…The development of the Metaverse is completely changing how business is done in the physical world. The Metaverse considerably improves intelligent…”
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Real-Time Detection of Crop Leaf Diseases Using Enhanced YOLOv8 algorithm by Orchi, Houda, Sadik, Mohamed, Khaldoun, Mohammed, Sabir, Essaid

“…Agriculture is a mainstay of the Moroccan economy and the breadwinner for millions of farmers, offering them a broad array of crop varieties. However, a lack…”
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Efficient Pandemic Infection Detection Using Wearable Sensors and Machine Learning by Abdel-Ghani, Ayah, Abughazzah, Zaineh, Akhund, Mahnoor, Abualsaud, Khalid, Yaacoub, Elias

“…More than three years into the coronavirus disease 2019 (COVID-19) pandemic, it can be noted that the measures put in place for societies to manage the spread…”
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PRAHA - Price based Demand Response Framework for smArt Homes: Application to Smart Grids by Chreim, Bashar, Esseghir, Moez, Merghem-Boulahia, Leila

“…The migration towards Smart Grids (SGs) presents a significant opportunity for the energy industry to modernize. SGs are characterized by the exchange of both…”
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Integrated Sensing and Communication based Breath Monitoring using 5G Network by Zhao, Zhe, Liu, Ruiqi, Li, Junqiang

“…Integrated sensing and communication (ISAC) has been recognized as a critical technology as well as an usage scenario for the 6th generation (6G) wireless…”
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Research on Novel Type of Non Terrestrial Network Architecture for 6G by Qi, Wen, Wang, Heng, Xia, Xu, Mei, Chengli, Liu, Yang, Xing, Yanxia

“…It is generally accepted across industries that when mobile communication network evolve to the sixth generation (6G), it will not only further improve network…”
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Secure and Energy-Efficient Communication for Internet of Drones Networks: A Deep Reinforcement Learning Approach by Aboueleneen, Noor, Alwarafy, Abdulmalik, Abdallah, Mohamed

“…Internet of Drones (IoD)-aided wireless networks are proving their efficiency in various commercial and military applications, such as object recognition,…”
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A Hybrid Aggregation Approach for Federated Learning to Improve Energy Consumption in Smart Buildings by Abboud, Aline, Brahmia, Mohamed-El-Amine, Abouaissa, Abdelhafid, Shahin, Ahmad, Mazraani, Rocks

“…As the world's economy and urbanization develop rapidly, energy shortages and pollution are becoming major challenges. In general, buildings are responsible…”
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Multi-valued Model Checking A Smart Glucose Monitoring System with Trust by Alwhishi, Ghalya, Bentahar, Jamal, Elwhishi, Ahmed

“…IoT in the e-Healthcare domain has recently seen much interest. The IoT applications in this domain involve extensive interactions between many components…”
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Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems by Khan, Fazeela Mazhar, Baccour, Emna, Erbad, Aiman, Hamdi, Mounir

“…As deep neural networks continue to expand and become more complex, most edge devices are unable to handle their extensive processing requirements. Therefore,…”
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REED: Enhanced Resource Allocation and Energy Management in SDN-Enabled Edge Computing-Based Smart Buildings by Ibrar, Muhammad, Erbad, Aiman, Abegaz, Mohammed, Akbar, Aamir, Houchati, Mahdi, Corchado, Juan M.

“…The number of applications of internet of things (IoT) devices in smart buildings keeps growing continuously, and with it, the computational tasks rendered by…”
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MELoNS - A Modular and Extendable Simulator for LoRaWAN Network by Chen, Mi, Mokdad, Lynda, Othman, Jalel Ben

“…LoRaWAN (LOng RAnge radio Wide Area Network) is rapidly gaining attention with its capacity for a large devices number, long-range, and low power consumption…”
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Benchmarking of Anomaly Detection Techniques in O-RAN for Handover Optimization by Mahrez, Zineb, Driss, Maryam Ben, Sabir, Essaid, Saad, Walid, Driouch, Elmahdi

“…With today's proliferation of IoT and real-time applications, it has become crucial to properly handle traffic, optimize the quality-of-service (QoS) of…”
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Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things by Li, Kai, Yuan, Xin, Zheng, Jingjing, Ni, Wei, Guizani, Mohsen

“…Mobile edge computing (MEC) enables the Internet of Things (IoT) with seamless integration of multiple application services. Federated learning is increasingly…”
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FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments by Chow, Theo, Raza, Usman, Mavromatis, Ioannis, Khan, Aftab

“…Intelligent, large-scale IoT ecosystems have become possible due to recent advancements in sensing technologies, distributed learning, and low-power inference…”
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Blockchain-based Reputation Management Framework for Crowdsourced Last-mile Delivery by Kadadha, Maha, Mizouni, Rabeb, Singh, Shakti, Otrok, Hadi, Mourad, Azzam

“…To cope with the increasing growth of last-mile delivery, crowdsourcing last-mile delivery has been adopted as a flexible and cost-efficient way to deliver…”
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Efficient Fall Detection using Bidirectional Long Short-Term Memory by Mubibya, Gael S., Almhana, Jalal, Liu, Zikuan

“…Falls are one of the most common causes of injury among the elderly. As a result, fall detection has received in the last decade considerable attention from…”
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