Results 61 to 70 of about 3,617,147 (154)
Abstract Precise thermospheric density forecasting is critical for mitigating satellite drag in Low Earth Orbit (LEO), but traditional empirical models such as MSIS and JB2008 can fail during geomagnetic storms. To evaluate whether AI can better capture this transient behavior, the 2025 MIT ARCLab Prize for AI Innovation in Space asked participants to ...
Sergio Sanchez‐Hurtado +18 more
wiley +1 more source
Breathomics is established as a non‐invasive diagnostic strategy by combining volatile organic compound biomarkers, nanomaterial‐based sensor arrays, and AI‐driven classification. Key diseases, sensing materials, and analytical challenges are critically compared, revealing how portable, data‐enabled breath platforms are moving toward clinically useful ...
Anesu Nyabadza +3 more
wiley +1 more source
International audienceIn this paper, we address a multiple-input multipleoutput (MIMO) communication system based on generalized spatial modulation (GSM) and dual-polarized (DP) antennas in sub-TeraHertz (sub-THz) bands to improve the Spectral Efficiency
Bouhlel, Nizar +2 more
core +1 more source
Forecasting Local Geomagnetic Disturbances Using Machine Learning: A Multi‐Station Approach
Abstract Geomagnetic indices such as SYM‐H capture global disturbances but fail to resolve regional impacts critical for infrastructure resilience. We present a machine learning model to forecast the Local Disturbance Index (LDi), a validated regional geomagnetic index.
Armando Collado‐Villaverde +3 more
wiley +1 more source
Enhanced Cross Z-Complementary Set and Its Application in Generalized Spatial Modulation
Generalized spatial modulation (GSM) is a novel multiple-antenna technique offering flexibility among spectral efficiency, energy efficiency, and the cost of RF chains.
Zhen-Ming Huang +3 more
doaj +1 more source
Abstract Satellite X‐ray imagers are highly vulnerable to contamination by soft protons (∼100 keV), which can trigger spurious charge‐coupled device events and force interruptions in observations. For XMM‐Newton, such contamination reduced usable science time by ∼40%.
Simon Mischel +2 more
wiley +1 more source
International audienceMultiple-Input Multiple-Output (MIMO) technique with Index Modulation (IM) over sub-TeraHertz (sub-THz) bands represent a promising solution to design new wireless ultra-high data rate systems.
Faouzi Bader +11 more
core +1 more source
Introduction to Generalised Spatial Modulation [PDF]
In this paper generalized spatial modulation technique is introduced. This is a new technique for MIMO system. It enhances the spectral efficiency and reduces BER.
, Prof. K.S. Solanki, Abhilasha Singh
core +1 more source
The Performance of H263-Based Video Telephony over Turbo-Equalized GSM/GPRS
The performance of turbo-equalized Global System of Mobile Communications/General Packet Radio Service (GSM/GPRS)-like videophone transceivers is studied over dispersive fading channels as a function of the number of turbo equalization iterations ...
Yeap, B.L., Cherriman, P.J., Hanzo, L.
core +1 more source
Application of Convolutional Neural Network Framework on Generalized Spatial Modulation for Next Generation Wireless Networks [PDF]
A novel custom auto-encoder Complex Valued Convolutional Neural Network (AE-CVCNN) model is proposed and implemented using MATLAB for multiple-input-multiple output (MIMO) wireless networks.
Marseet, Akram
core +1 more source

