Results 121 to 130 of about 166,319,184 (282)

Deep Learning-Based Autonomous Navigation of 5G Drones in Unknown and Dynamic Environments

Drones
The flexibility and rapid mobility of drones make them ideal for Internet of Things (IoT) applications, such as traffic control and data collection. Therefore, the autonomous navigation of 5G drones in unknown and dynamic environments has become a major ...
Theyab Alotaibi, Kamal Jambi, Maher Khemakhem, Fathy Eassa, Farid Bourennani   +4 more
doaj   +1 more source

Reliable Aerial Mobile Communications with RSRP & RSRQ Prediction Models for the Internet of Drones: A Machine Learning Approach. [PDF]

Sensors (Basel), 2022
Behjati M, Zulkifley MA, Alobaidy HAH, Nordin R, Abdullah NF.   +4 more
europepmc   +1 more source

Emergent Spinning and Orbital Motion in Clustered Wind‐Assisted Flyers

Advanced Science, EarlyView.
Inspired by natural snowflake geometries, paper‐cut flyers exhibit geometry‐defined spinning and orbital motions during cluster formation in a wind tunnel. Collective flights of multiple paperflakes reveal dynamic clustering, fragmentation, and continuously evolving spin behaviors.
Bingnan Zhou, Rahul Chand, Fahad Ahmed Korai, Jianfeng Yang, Valtteri Savonen, Fan Liu, Qi Yang, Hao Zeng   +7 more
wiley   +1 more source

Energy-Efficient Internet of Drones Path-Planning Study Using Meta-Heuristic Algorithms

Applied Sciences
The increasing popularity of unmanned aerial vehicles (UAVs), commonly known as drones, in various fields is primarily due to their agility, quick deployment, flexibility, and excellent mobility. Particularly, the Internet of Drones (IoD)—a networked UAV
Gamil Ahmed, Tarek Sheltami, Mustafa Ghaleb, Mosab Hamdan, Ashraf Mahmoud, Ansar Yasar   +5 more
doaj   +1 more source

Absorption of Broadband Low‐Frequency Sound Beyond the Thermodynamics Limit: An Acoustic Resonator With Magnetic Bearing

Advanced Science, EarlyView.
This work presents a magnetic‐bearing acoustic resonator that overcomes the thermodynamics limit of sound absorption. By introducing tunable negative stiffness, it achieves broadband low‐frequency absorption within a compact cavity, far exceeding the performance achievable by classic mass‐tuned designs.
Ying Hu, Zhe Zhang, Bohua Huang, Xue Han, Hallam Bastin Kilcoyne, Lixi Huang   +5 more
wiley   +1 more source

Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Literature Review

IEEE Access
The Internet of Drones (IoD) is a dynamic network architecture in which multiple drones, equipped with communication, sensing, and computation capabilities, are interconnected through Internet of Things (IoT) technologies to perform coordinated tasks ...
Mostafa Ogab, Sofiane Zaidi, Abdelhabib Bourouis, Carlos T. Calafate   +3 more
doaj   +1 more source

LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms. [PDF]

Sensors (Basel), 2021
Behjati M, Mohd Noh AB, Alobaidy HAH, Zulkifley MA, Nordin R, Abdullah NF.   +5 more
europepmc   +1 more source

The drone debate: sudden bullet or slow boomerang? [PDF]

, 2013
Introduction: Growth in the manufacture, military use, and transfer of unmanned aerial vehicles (UAVs or drones) and their associated systems proceeds apace.
Roderic Alley
core  

ABCABC Stacking‐Enabled Non‐Centrosymmetry 3R‐ZnIn2S4 Nanosheets for Piezocatalytic Uranium Extraction

Advanced Science, EarlyView.
The ABCABC stacking sequence in 2D ZnIn2S4 nanosheets creates intrinsic non‐centrosymmetry, enabling robust piezocatalysis under weak mechanical agitation. The nanosheets achieve a H2O2 yield of 276.7 µmol g−1 h−1 and uranium extraction capacity of 763.2 mg g−1 via a dual mechanism of direct piezoreduction and in situ H2O2 complexation.
Song Li, Huaijuan Zhou, Yingting Yang, Yanhong Lv, Zdeněk Sofer, Jianyun Zheng, Jinhua Li   +6 more
wiley   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source