A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …
technology and is currently under research and development. It is expected to deliver faster …
Drones in B5G/6G networks as flying base stations
Advances in the fields of networking, broadband communications and demand for high-
fidelity low-latency last-mile communications have rendered as-efficient-as-possible relaying …
fidelity low-latency last-mile communications have rendered as-efficient-as-possible relaying …
Wireless sensor network as a mesh: Vision and challenges
Nowadays, network technologies are developing very rapidly. The growing volume of
transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter …
transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter …
Machine learning assists IoT localization: a review of current challenges and future trends
The widespread use of the internet and the exponential growth in small hardware diversity
enable the development of Internet of things (IoT)-based localization systems. We review …
enable the development of Internet of things (IoT)-based localization systems. We review …
Trajectory design for uav-based data collection using clustering model in smart farming
Unmanned aerial vehicles (UAVs) play an important role in facilitating data collection in
remote areas due to their remote mobility. The collected data require processing close to the …
remote areas due to their remote mobility. The collected data require processing close to the …
A real-time zanthoxylum target detection method for an intelligent picking robot under a complex background, based on an improved YOLOv5s architecture
Z Xu, X Huang, Y Huang, H Sun, F Wan - Sensors, 2022 - mdpi.com
The target recognition algorithm is one of the core technologies of Zanthoxylum pepper-
picking robots. However, most existing detection algorithms cannot effectively detect …
picking robots. However, most existing detection algorithms cannot effectively detect …
Energy aware routing with optimal deep learning based anomaly detection in 6G-IoT networks
The sixth generation (6G) wireless communication networks are being planned for the
transformation of client services and applications through the Internet of Things (IoT) …
transformation of client services and applications through the Internet of Things (IoT) …
Mathematical modeling of layered nanocomposite of fractal structure
S Korchagin, E Romanova, D Serdechnyy, P Nikitin… - Mathematics, 2021 - mdpi.com
A model of a layered hierarchically constructed composite is presented, the structure of
which demonstrates the properties of similarity at different scales. For the proposed model of …
which demonstrates the properties of similarity at different scales. For the proposed model of …
Power Allocation and energy cooperation for UAV-enabled mmwave networks: A multi-agent deep reinforcement learning approach
MC Domingo - Sensors, 2021 - mdpi.com
Unmanned Aerial Vehicle (UAV)-assisted cellular networks over the millimeter-wave
(mmWave) frequency band can meet the requirements of a high data rate and flexible …
(mmWave) frequency band can meet the requirements of a high data rate and flexible …