Pseudoephedrine
发表于 2025-3-26 21:22:17
A Spatial and Spectral Feature Based Approach for Classification of Crops Using Techniques Based onbands) was accomplished by using Support Vector Machine classifier with Radial Basis Function. The accuracy of classification obtained from GLCM was 90.29% with the Kappa coefficient 0.88 whereas the corresponding values obtained from three band classification were 86.04% and 0.83, indicating the superiority of the GLCM-based approach.
ADJ
发表于 2025-3-27 03:11:11
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弯曲道理
发表于 2025-3-27 07:09:23
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世俗
发表于 2025-3-27 13:08:34
Dual Band MIMO Antenna with Reduced Mutual Coupling Using DGS,) is used to reduce mutual coupling. The antenna operates at 3.2 and 5.2 GHz. Mutual coupling at 3.2 GHz is −36.42 dB and at 5.2 GHz is −30.26 dB. It is very much suitable for both WiMAX and WLAN applications.
antedate
发表于 2025-3-27 14:33:11
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机构
发表于 2025-3-27 19:17:43
Conference proceedings 2019s from leading universities, engineering colleges and R&D institutes from all over the world, and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.
VEST
发表于 2025-3-28 01:33:54
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任命
发表于 2025-3-28 04:42:07
Optimal Forwarding in Named Data Networking,he maximum deviation. The proposed method is scalable as any network metrics can be integrated into ordered weighted averaging operator. Experiments show that optimal strategy achieves higher throughput, better load balance, and lower packet drop rate compared to default forwarding strategies.
Asparagus
发表于 2025-3-28 06:18:27
Design of Dual-Band MIMO Antenna for LTE 2500, Wimax, and C-Band Applications to Reduce the Mutual eyond −35 dB over the entire band of 2.4–2.8 GHz and 5.8–6.6 GHz frequencies. By using this type of techniques, it provide better results compared to previous works which produces greater than −30 dB in the entire wider bandwidth. Due to this technique improving the impedance bandwidth as well as radiation characteristics of dual-band antenna.
菊花
发表于 2025-3-28 12:53:24
MEMS Sensor-Based Cantilever for Intracranial Pressure Measurement,e layer, we can get the results through the potential variation. The potential difference is the main advantage for the paper because without any conversion it is possible to directly connect with the application.