but vertical collaboration [8] also takes place among the three layers of CoMEC. Vertical collaboration in the MEC environment signifies collaboration among multiple layers of IoT computing infrastructure, including the IoT devices at the bottom, the edge cloud servers at the middle, and...
The primary objective is to minimize energy consumption. Considering the fairness of the UAVs, a 3D multi-UAV trajectory design was formulated to reduce system energy consumption, where users select target UAVs for task computing. Utilizing the multi-agent deep deterministic policy gradient (MADDPG) ...
Moreover, UAV- and satellite-based RS are essential for raising crop yields and resilience (Nhamo et al., Citation2020; Rejeb et al., Citation2022). To track the effects of climate change and inform extensive agricultural plans, satellites offer long-term, comprehensive coverage as well as dat...
leading to exceptional performance in multi-class movie classification. Evaluations conducted on well-known datasets, such as the LMTD dataset, consistently demonstrate the high performance of the proposed GRU model. This integrated model effectively extracts and learns features related...
In this context, optimizing energy efficiency (EE) is crucial for ensuring sustainable and efficient network operation. This paper proposes a novel approach to EE optimization in multi-UAV-aided wireless-powered IoT networks, focusing on balancing the uplink data transmission rates and total system ...
The PLAN systems are expected to be more intelligent and robust under the emergence of more advanced sensors, multi-platform/multi-device/multi-sensor information fusion, self-learning systems, and the integration with artificial intelligence, 5G, IoT, and edge/fog computing....
During the analysis phases, we tabulated the characteristics and thematic codes of each study and compared them with the predefined inclusion criteria on HCI classification framework for virtual parks. Various thematic codes were obtained in pattern form, and the articles were coded via a repetitive ...
of AI enhances hardware security but might introduce complexity in implementing FPGA-based security systems. ML algorithms play a crucial role in hardware security, notably in Trojan detection and IC camouflage. FPGA-based solutions proposed for UAV communication security leverage synchronized chaotic maps...
The study focuses on enhancing the effectiveness of precision agriculture through the application of deep learning technologies. Precision agriculture, which aims to optimize farming practices by monitoring and adjusting various factors influencing crop
in the domain and uses elliptic curve cryptography (ECC) and modular division operations as the main operations to further reduce the computational complexity of vehicles. Subsequently, Jan and Khan [18] proposed a fast identity authentication scheme for the unmanned aerial vehicle (UAV) internet ...