Results 121 to 130 of about 1,432,316 (279)

Intelligent identification of rock mass discontinuities based on the MK‐Means algorithm

River, EarlyView.
Abstract Rock mass discontinuities govern the mechanical properties and engineering stability of rock masses. Conventional clustering algorithms typically require manual specification of the number of clusters or initial parameters, rendering the results sensitive to empirical judgment and initial conditions.
Wei Yang, Ce Liang, Hui Deng, Hao Liu, Xiaodong Cui, Jin Zhang, Wenhui Zhong, Anrun Li   +7 more
wiley   +1 more source

A review of the research and advancements in MSDF monitoring for the remote sensing of soil and water conservation in China

River, EarlyView.
Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu, Shaohua Lei, Jinsong Shi, Kun Sun, Qiu Jin   +4 more
wiley   +1 more source

Directive Antenna Clutter Loss in Slant Paths

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper investigates the development of a clutter loss model specifically for slant paths involving directive antennas. Conventionally, clutter loss is characterized by using isotropic antennas to facilitate standard link budget calculations via single antenna gain values.
Fernando Pérez Fontán, Vicente Pastoriza‐Santos, Fernando Machado Domı́nguez, Thomas Prechtl, Pavel Pechac   +4 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Investigating the use of the Coanda Effect to create novel unmanned aerial vehicles

, 2009
In recent years the demand for Unmanned Aerial Vehicles (UAV's) has increased rapidly across many different industries and they are used for various applications.
Barlow, Chris, Prior, Stephen D., Odedra, Sid, Lewis, Darren, Erbil, Mehmet Ali, Karamanoglu, Mehmet, Collins, R.   +6 more
core   +1 more source

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

Design and Prototype Testing of a Smart SMA Actuator for UAV Foldable Tail Wings

Actuators
The foldable tail wing system of UAVs offers advantages such as reducing the envelope size and improving storage space utilization. However, due to the compact tail wing space, achieving multi-modal locking and unlocking functionality presents ...
Yan Cheng, Jun Wang, Rui Li, Xiaojun Gu, Yahui Zhang, Jihong Zhu, Weihong Zhang   +6 more
doaj   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

Structural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik, Ulas Bagci, Sylvia Kessler   +2 more
wiley   +1 more source

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

Thunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source