Results 131 to 140 of about 885,195 (275)

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 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

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

Climate‐Resilient Agri‐Food Systems (CRAFS): A Review of Approaches and Outcomes of Agri‐Food Systems

Sustainable Development, EarlyView.
ABSTRACT Climate change is increasingly destabilizing agri‐food systems globally, with complex disruptions extending across production, distribution, and consumption. In response, climate‐resilient agri‐food system (CRAFS) approaches have gained prominence as a means to sustain food security under escalating climatic stressors.
M Manjurul Islam, Evan D. G. Fraser
wiley   +1 more source

High‐Performance All‐Solid‐State Silicon–Sulfur Batteries Enabled by Li4(BH4)3I Hydride Electrolyte

Small, EarlyView.
A prelithiated silicon anode coupled with a Li4(BH4)3I hydride electrolyte enables stable all‐solid‐state silicon–sulfur batteries with high electrochemical reversibility and suppressed interfacial degradation. The full cell delivers an ultra‐high areal capacity of 23.88 mAh cm−2 and stable cycling over 1000 cycles, while stress‐compensated battery ...
Tao Huang, Zhaotong Hu, Yifei Shao, Xiang Zhang, Caiting Yuan, Zhanning Wu, Takayuki Ichikawa, Fangqin Guo, Tengfei Zhang   +8 more
wiley   +1 more source

Progress in Explosion Mechanisms and Prevention Technologies for Direct Chill Casting Aluminum Melt Upon Water Contact: A Review

Safety Science and Technology, EarlyView.
Molten aluminum–water explosion triggered by leakage remains the core unresolved safety hazard hindering safe production in aluminum direct chill casting. This review summarizes its explosion mechanism, key influencing factors, prevention technologies, existing gaps, and prospects of intelligent multi‐technology integrated explosion‐proof systems ...
Min Wang, Kang Yang, Jiang Dong, Lidong Xing, Bing Chen, Changke Chen   +5 more
wiley   +1 more source

An End-to-End Trajectory Prediction Method for Unmanned Ground Vehicles via Multimodal Fusion. [PDF]

Sensors (Basel)
Li Y, Tian E, Yang F, Han H, Zhang X.
europepmc   +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

A Survey of Environmental Perception for Unmanned Ground Agricultural Machinery in Field Environments. [PDF]

Sensors (Basel)
Zhang Q, Wu W, Liu M, Xu L, Zhao Z, Liang S.   +5 more
europepmc   +1 more source

What Is the Return on Investment of Digital Engineering for Complex Systems Development Schedules? Findings From a Mixed‐Methods Case Study on the Post‐Production Design Change Processes of Navy Assets

Systems Engineering, EarlyView.
ABSTRACT Complex engineered systems routinely face schedule and cost overruns, along with poor post‐deployment performance. Both INCOSE and the U.S. Department of Defense (DoD) have championed Digital Engineering (DE) as a potential remedy, yet most of DE's purported benefits remain anecdotal, and its return on investment (ROI) remains poorly ...
Jannatul Shefa, Taylan G. Topcu
wiley   +1 more source