Results 71 to 80 of about 457 (225)

Boundary‐Aware Learning for Robust Automatic Modulation Recognition Based on Adaptive Pyramid Network

IET Radar, Sonar & Navigation
Automatic modulation recognition (AMR) of radar signals plays a pivotal role in intelligent spectrum management for modern electronic warfare systems.
Yuanhang Li, Mengyi Qi, Xiaofeng Tao, Wenbin Shao   +3 more
doaj   +1 more source

Solar Fuels Via Methane Valorization: Thermochemical Pathways, Unified Metrics, and Techno‐Economic Perspectives

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez, Amjad Othman, Majid Linjawi, Amro Al‐Qutub   +3 more
wiley   +1 more source

Topics in the accuracy and resolution of superresolution systems

, 2009
Since their introduction in the 1970s and 1980s superresolution systems for point source parameter estimation have received theoretical attention regarding their potential performance.
Brandwood, D.
core  

Cascaded Neural-Analog Networks for Real Time Decomposition of Superposed Radar Signals in the Presence of Noise.

, 1989
Among the numerous problems which arise in the context of radar signal processing is the problem of extraction of information from a noise corrupted signal.
Pati, Y.C., A. Teolis, Y. C. Pati, Shamma, S., M. C. Peckerar, Peckerar, M.C., Teolis, A., S. Shamma   +7 more
core   +1 more source

Air Stability of Sulfide Solid Electrolytes: From Theoretical Insights to Practical Solutions

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This paper reviews research progress on the air stability of SSEs, covering their instability mechanisms and modification strategies, while outlining core challenges and future directions for practical applications. Sulfide solid electrolytes are pivotal for enabling high‐performance all‐solid‐state batteries due to their high ionic conductivity and ...
Hongbing Ding, Yue Hu, Xin Li, Yang Su, Xinlu Wang, Hongbo Zhang, Guixia Liu, Wensheng Yu, Xiangting Dong, Jinxian Wang, Xin Wang   +10 more
wiley   +1 more source

Asymmetric Dual‐Electron Bridge Via Gradient Orbital Coupling for Robust Alkaline Oxygen Evolution in Low‐Iridium Water Electrolysis

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The engineered IrOx/FeEu‐NiTex composite, with ultralow Eu (0.72 at%) and Ir (0.14 at%) content, harnesses an asymmetric dual‐electron‐bridge structure (Ni 3d–O 2p–Eu 4f, Ni 3d–O 2p–Ir 5d) for gradient orbital coupling. This unique architecture delivers superior and robust alkaline oxygen evolution activity, enabling efficient low‐iridium water ...
Guiling Wu, Qianlin Chen, Feng Wang, Yan Zhao, Zhaoyang Wang   +4 more
wiley   +1 more source

Dimensional Engineering of Wet‐Spun MOF‐Based Woven Fabrics for Superior Electromagnetic Wave Absorption

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work fabricated MOF‐based woven absorbing fabrics with dimensional engineering via a wet spinning strategy. The absorbing fabrics achieve a reflection loss of −51.47 dB at 2.9 mm, with an effective absorption bandwidth reaching 3.54 GHz. The absorbing fabrics can be freely bent, stretched, and folded, with individual fibers exhibiting a break ...
Zihao Yan, Liyuan Guan, Qing Liu, Junhao Lin, Jianyong Yu, Bin Ding, Zhaoling Li   +6 more
wiley   +1 more source

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

Electron, EarlyView.
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi, Malek Naderi, Ali Pilehvar Meibody, Shurui Yang, Mojtaba Abdi‐Jalebi   +4 more
wiley   +1 more source

Spectrum sensing for cognitive radio and radar systems [PDF]

, 2009
The use of the radio frequency spectrum is increasing at a rapid rate. Reliable and efficient operation in a crowded radio spectrum requires innovative solutions and techniques.
Lundén, Jarmo
core  

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source