Search Results - "Seid, Abegaz Mohammed"

Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-agent Deep Reinforcement Learning Approach by Seid, Abegaz Mohammed, Erbad, Aiman, Abishu, Hayla Nahom, Albaseer, Abdullatif, Abdallah, Mohammed, Guizani, Mohsen

“…In 5G and B5G networks, real-time and secure resource allocation with the common telecom infrastructure is challenging. This problem may be more severe when…”
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A Clinical Decision Support System (CDSS) for Unbiased Prediction of Caesarean Section Based on Features Extraction and Optimized Classification by Javeed, Ashir, Ali, Liaqat, Mohammed Seid, Abegaz, Ali, Arif, Khan, Dilpazir, Imrana, Yakubu

“…Nowadays, caesarean section (CS) is given preference over vaginal birth and this trend is rapidly rising around the globe, although CS has serious…”
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Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network by Seid, Abegaz Mohammed, Boateng, Gordon Owusu, Mareri, Bruce, Sun, Guolin, Jiang, Wei

“…The Internet of Things (IoT) edge network has connected lots of heterogeneous smart devices, thanks to unmanned aerial vehicles (UAVs) and their groundbreaking…”
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Blockchain-Enabled Task Offloading with Energy Harvesting in Multi-UAV-assisted IoT Networks: A Multi-agent DRL Approach by Seid, Abegaz Mohammed, Lu, Jianfeng, Abishu, Hayla Nahom, Ayall, Tewodros Alemu

“…Unmanned Aerial Vehicle (UAV) is a promising technology that can serve as aerial base stations to assist Internet of Things (IoT) networks, solving various…”
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Task Offloading Optimization in Digital Twin Assisted MEC-Enabled Air-Ground IIoT 6G Networks by Hevesli, Muhammet, Seid, Abegaz Mohammed, Erbad, Aiman, Abdallah, Mohamed

“…The upcoming 6G paradigm leverages digital twin (DT) to create a virtual replica of network topology, facilitating real-time control in complex environments…”
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Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach by Seid, Abegaz Mohammed, Boateng, Gordon Owusu, Anokye, Stephen, Kwantwi, Thomas, Sun, Guolin, Liu, Guisong

“…In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are envisioned to generate huge amounts of data. Due to the limitation…”
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Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles by Abishu, Hayla Nahom, Seid, Abegaz Mohammed, Yacob, Yasin Habtamu, Ayall, Tewodros, Sun, Guolin, Liu, Guisong

“…Electric Vehicles (EVs) have emerged as one of the most promising solutions for reducing carbon emissions in smart cities. However, due to the limited battery…”
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Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks by Anokye, Stephen, Ayepah-Mensah, Daniel, Seid, Abegaz Mohammed, Boateng, Gordon Owusu, Sun, Guolin

“…With the proliferation of smart mobile devices, there is now an ever increasing craving for higher bandwidth for end user satisfaction. Increasing mobile…”
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Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks by Seid, Abegaz Mohammed, Erbad, Aiman, Abishu, Hayla Nahom, Albaseer, Abdullatif, Abdallah, Mohamed, Guizani, Mohsen

“…In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of Medical Things (IoMT) have been used in the healthcare industry to…”
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Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV Networks by Seid, Abegaz Mohammed, Erbad, Aiman

“…The high-altitude platform station (HAPS) is a promising 6G network technology that can meet the stringent requirements for high reliability, ultra-reliable…”
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Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks by Betalo, Mesfin Leranso, Leng, Supeng, Abishu, Hayla Nahom, Dharejo, Fayaz Ali, Seid, Abegaz Mohammed, Erbad, Aiman, Naqvi, Rizwan Ali, Zhou, Longyu, Guizani, Mohsen

“…Wireless sensor networks (WSNs) with ultra-dense sensors are crucial for several industries, such as smart agricultural systems deployed in the fifth…”
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Truthful Incentive Mechanism Design via Internalizing Externalities and LP Relaxation for Vertical Federated Learning by Lu, Jianfeng, Pan, Bangqi, Seid, Abegaz Mohammed, Li, Bing, Hu, Gangqiang, Wan, Shaohua

“…Although vertical federated learning (VFL) has become a new paradigm of distributed machine learning for emerging multiparty joint modeling applications, how…”
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Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning by Assefa, Maregu, Jiang, Wei, Gedamu, Kumie, Yilma, Getinet, Adhikari, Deepak, Ayalew, Melese, Mohammed, Abegaz, Erbad, Aiman

“…Self-supervised contrastive learning has shown a significant improvement in performance for action recognition tasks by discovering useful signals from…”
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Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach by Abegaz, Mohammed Seid, Abishu, Hayla Nahom, Yacob, Yasin Habtamu, Ayall, Tewodros Alemu, Erbad, Aiman, Guizani, Mohsen

“…With the Industrial Internet of Things (IIoT), mobile devices (MDs) and their demands for low-latency data communication are increasing. Due to the limited…”
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Novel Approach for Curbing Unfair Energy Consumption and Biased Model in Federated Edge Learning by Albaseer, Abdullatif, Seid, Abegaz Mohammed, Abdallah, Mohamed, Al-Fuqaha, Ala, Erbad, Aiman

“…Researchers and practitioners have recently shown interest in deploying federated learning for enhanced privacy preservation in wireless edge networks. In such…”
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Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas by Dhuheir, Marwan, Erbad, Aiman, Al-Fuqaha, Ala, Seid, Abegaz Mohammed

“…Over the past decade, Unmanned Aerial Vehicles (UAVs) have attracted significant attention due to their potential applications in emergency-response…”
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Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning by Albaseer, Abdullatif, Abdallah, Mohamed, Al-Fuqaha, Ala, Mohammed, Abegaz, Erbad, Aiman, Dobre, Octavia A.

“…Clustered federated Multitask learning is introduced as an efficient technique when data is unbalanced and distributed amongst clients in a non-independent and…”
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Graph Computing Systems and Partitioning Techniques: A Survey by Ayall, Tewodros Alemu, Liu, Huawen, Zhou, Changjun, Seid, Abegaz Mohammed, Gereme, Fantahun Bogale, Abishu, Hayla Nahom, Yacob, Yasin Habtamu

“…Graphs are a tremendously suitable data representation that models the relationships of entities in many application domains, such as recommendation systems,…”
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Amharic Speech Search Using Text Word Query Based on Automatic Sentence-like Segmentation by Brhanemeskel, Getnet Mezgebu, Abate, Solomon Teferra, Ayall, Tewodros Alemu, Seid, Abegaz Mohammed

“…More than 7000 languages are spoken in the world today. Amharic is one of the languages spoken in the East African country Ethiopia. A lot of speech data is…”
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Dual-attention Network for View-invariant Action Recognition by Kumie, Gedamu Alemu, Habtie, Maregu Assefa, Ayall, Tewodros Alemu, Zhou, Changjun, Liu, Huawen, Seid, Abegaz Mohammed, Erbad, Aiman

“…View-invariant action recognition has been widely researched in various applications, such as visual surveillance and human–robot interaction. However,…”
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