Zobrazeno 1 - 10
of 87
pro vyhledávání: '"AHMED, ZOHA"'
Publikováno v:
Advanced Energy & Sustainability Research, Vol 5, Iss 8, Pp n/a-n/a (2024)
In this research article, the objective is to determine the return on investment (ROI) of photovoltaic (PV) power plants by employing machine learning (ML) techniques. Special focus is done on the levelized cost of electricity (LCOE) as a pivotal eco
Externí odkaz:
https://doaj.org/article/eb0c187fbd8e4ae2916abc988f34628c
Autor:
Brahim Mefgouda, Hanen Idoudi, Mohammad Al-Quraan, Omer Waqar, Ahmed Zoha, Muhammad Ali Imran, Lina Mohjazi
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3658-3677 (2024)
Heterogeneous wireless networks (HWNs) are essential in modern communication systems, as they seamlessly integrate various radio access technologies (RATs). In this context, network selection (NS) emerges as a pivotal element, responsible for selecti
Externí odkaz:
https://doaj.org/article/96eb4bf0695a408bbef80882bb72ca93
Autor:
Iqra Rafiq, Anzar Mahmood, Ubaid Ahmed, Ahsan Raza Khan, Kamran Arshad, Khaled Assaleh, Naeem Iqbal Ratyal, Ahmed Zoha
Publikováno v:
IEEE Access, Vol 12, Pp 50202-50216 (2024)
The occupancy datasets are useful for planning important buildings’ related tasks such as optimal design, space utilization, energy management, maintenance, etc. Researchers are currently working on two key issues in building management systems. Fi
Externí odkaz:
https://doaj.org/article/ef00cb86ce164698ac761bd53a2ee0bb
Publikováno v:
IEEE Access, Vol 12, Pp 23132-23148 (2024)
The Internet of Things (IoT) is an essential part of 5G, Beyond-5G (B5G), and 6G systems; it has several applications in two of the principal 5G use cases, namely ultra-reliable low-latency communications (URLLC) and massive machine-type communicatio
Externí odkaz:
https://doaj.org/article/0cfaba48b08147bfbc56beab01dd87d8
Publikováno v:
Future Internet, Vol 16, Iss 10, p 374 (2024)
Federated Learning (FL) has emerged as a transformative paradigm in machine learning, enabling decentralized model training across multiple devices while preserving data privacy. However, the decentralized nature of FL introduces significant security
Externí odkaz:
https://doaj.org/article/ec2f8a80ce1a44f79834589e28907e60
Publikováno v:
Energies, Vol 17, Iss 18, p 4758 (2024)
Multi-junction solar cells are vital in developing reliable, green, sustainable solar cells. Consequently, the computational optimization of solar cell architecture has the potential to profoundly expedite the process of discovering high-efficiency s
Externí odkaz:
https://doaj.org/article/61c8bf37c9fe4ff3bfc9b62f5cf571d3
Autor:
Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, Ruy Sebastian Bonilla, Richard Abrams, Ahmed Zoha, Sajjad Hussain, Rami Ghannam
Publikováno v:
Advanced Energy & Sustainability Research, Vol 4, Iss 10, Pp n/a-n/a (2023)
Machine learning (ML) and artificial intelligence (AI) methods are emerging as promising technologies for enhancing the performance of low‐cost photovoltaic (PV) cells in miniaturized electronic devices. Indeed, ML is set to significantly contribut
Externí odkaz:
https://doaj.org/article/e1dc1278b2c34dcfa8f309d8e0ea138c
Autor:
Sana Hafeez, Ahsan Raza Khan, Mohammad M. Al-Quraan, Lina Mohjazi, Ahmed Zoha, Muhammad Ali Imran, Yao Sun
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 4, Pp 558-580 (2023)
Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-effective and credible solutions for various real-world scenarios. UAVs provide an immense variety of services due to their autonomy, mobility, adaptability, and
Externí odkaz:
https://doaj.org/article/133ebae16bed4f52bce3d3843054bf02
Publikováno v:
Sensors, Vol 23, Iss 23, p 9339 (2023)
Human activity recognition (HAR) using wearable sensors enables continuous monitoring for healthcare applications. However, the conventional centralised training of deep learning models on sensor data poses challenges related to privacy, communicatio
Externí odkaz:
https://doaj.org/article/5b6b23697d464c36ae2441f5e5486142
Autor:
Ahsan Raza Khan, Iftikhar Ahmad, Lina Mohjazi, Sajjad Hussain, Rao Naveed Bin Rais, Muhammad Ali Imran, Ahmed Zoha
Publikováno v:
Frontiers in Communications and Networks, Vol 4 (2023)
Introduction: The future wireless landscape is evolving rapidly to meet ever-increasing data requirements, which can be enabled using higher-frequency spectrums like millimetre waves (mmWaves) and terahertz (THz). However, mmWave and THztechnologies
Externí odkaz:
https://doaj.org/article/9035980f96294f4d9788778f77dfe9b2