Issue of Journal № 3, t. 27, 2024

List of articles

Quasi-optimal adaptive algorithm for filtering the coordinates of a moving source of radio emission during single-position passive direction finding on sea over-the-horizon paths Tislenko V. I.	7–16
Visual design of Ku-band linear amplifier based on Russian 0.5 um GaAs-pHEMT-technology Cherkashin M. V.	17–24
Ultra-wideband electro-optical modulator with an integrated laser Yunusov I. V., Arykov V. S., Stepanenko M. V., Zhuk G. G., Argunov D. P., Sheynberger A. A.	25–29
Technique for estimating the radiated emission of an integrated circuit in a TEM-cell under temperature exposure Komnatnov M. E.	30–36
Experimental Synchronization of a Quantum Communication System Plyonkin A. P.	37–41
Extraction of measurement results for the complex reflectivity of a radio-absorbing material using a filter with a variable bandpass Podlinnov S. A., Fateev A. V., Rastrygin D. S.	42–47
Optimization of modal filter design for ultrashort pulses propagation from two directions Gordeeva V. O., Belousov A. O.	48–54
Modal reservation: state of the art Zima E., Gazizov R. R.	55–69

Numerical simulation of the electromagnetic waves reso-nant absorption effect in a medium with spiral symmetry Krivin N. N., Ponamarev D. E., Shipulya M. A.	73–78
Compensation of amplitude-time error in discrete- continuous component models based on the inverse interpolation problem Kochergin M. I.	79–84
Methodology for fuzzing Linux kernel system calls using large language models Teplyuk P. A., Yakunin A. G.	85–91
Methodology to improve the quality of neural network modeling of dynamic objects Van S., Eliseev V. L.	92–99
Development of conditional optimization models taking into account weighting factors of relative importance Gribanova E. B., Leonov D. V.	100–108
Information technology for automation of sociological research: methods, technologies and advantages Kuznetsov A. M.	109–117
Datasets for bot detection using mouse behavior Afanasieva N. S., Lozhnikov P. S.	118–124
Crop yield prediction in Ethiopia using gradient boosting regression Mekecha B. B., Gorbatov A. V.	125–129

133–139