Vol. 144 No. 3 (2026)

MODIFICATION OF THE SEPARABLE PHYSICS-INFORMED NEURAL NETWORK METHOD FOR THE APPROXIMATE SOLUTION OF A MIXED PROBLEM FOR THE HEAT CONDUCTION EQUATION IN AN ELLIPTICAL DOMAIN

Valerii Los, Oleksandr Riakhin

Background. Parabolic differential equations are mathematical models in engineering designed to study wide range of applied models. This necessitates the development of…

#heat conduction equation #mixed parabolic problem #elliptical domain #physics-informed neural network

10.20535/kpisn.2026.3.367316

TWO-STAGE SEGMENTATION PIPELINE FOR SATELLITE PARKING LOT PAVED AREA ESTIMATION

Oleksandr Honcharuk, Nadezhda Nedashkovskaya

Background. Accurately estimating paved parking areas is vital for urban planning and environmental monitoring. However, spectral similarities between parking lot and…

#semantic segmentation #satellite imagery #parking lot #neural network

10.20535/kpisn.2026.3.367540

A SPARSE ANP FORMALIZATION WITH DATA-DRIVEN BINARY COMPARISONS AMONG HOMOGENEOUS COMPONENTS FOR RESOURCE ALLOCATION PRIORITIZATION

Vadim Romanuke

Background. Resource allocation problems involving interdependent homogeneous entities arise in many practical settings, including competitive project funding…

#resource allocation #homogeneous components #interdependencies #analytic network process

10.20535/kpisn.2026.3.368158

DEVELOPMENT OF A METHOD FOR FORMALIZING DYNAMIC THERMAL PORTRAITS FOR ROBUST TARGET DETECTION

Stepan Lys, Oksana Oborska

Background. Automated surveillance systems using thermal images from UAVs struggle to detect and identify objects in real time, especially against countermeasures.…

#thermal imaging systems #target identification #region of interest localization #dynamic thermal portrait

10.20535/kpisn.2026.3.359114

AN APPROACH TO CONSTRUCTING AN INFORMATIVE FEATURE SPACE OF TECHNICAL INDICATORS FOR FINANCIAL PROCESSES BASED ON NEURAL NETWORK MODELS

Roman Tertychnyi, Denys Chuprin, Petro Bidyuk

Background. Financial time series are characterized by nonlinearity, non-stationarity, and a high level of noise, which significantly complicates their modeling and…

#informative feature space construction approach #technical indicators #Parkinson volatility #neural networks

10.20535/kpisn.2026.3.359610

METHODS FOR ENSURING THE INTEGRITY OF DATA PROCESSING AND TRANSMISSION IN INDUSTRIAL AUTOMATION SYSTEMS

Yaroslav Korpan, Eugene Fedorov, Olga Nechyporenko

Background . Modern industrial control systems are characterized by a high level of integration between information and physical processes and the use of distributed…

#industrial automation systems #SCADA systems #data integrity #ICS cybersecurity

10.20535/kpisn.2026.3.361520

METHODOLOGY FOR THE PARAMETRIC SYNTHESIS OF ZOOM-AFOCAL SYSTEMS BASED ON FIXED VARIOFOCAL LENSES

Igor Chyzh

Background. Zoom optical systems utilising mechanically fixed, electrically controlled varifocal lenses cannot be regarded as having fixed optical components. The…

#zoom-afocal systems #principal points of varifocal lenses #synthesis of zoom-afocal systems #stable afocality of zoom systems

10.20535/kpisn.2026.3.351645

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