Tashkent University of Information Technology

Inverse Kernel Identification in a Time‐Fractional Integro‐Differential Equation

ABSTRACT This article investigates a fractional diffusion‐wave model incorporating memory effects. We first analyze the direct problem and establish the existence, uniqueness, and regularity of its solution under suitable conditions. The primary focus is on an inverse problem, in...

Adaptive Stochastic-Robust Model Predictive Control with Dual Shadow Pricing and Battery Degradation Mitigation for Solar Photovoltaic Microgrids

This paper proposes an Adaptive Stochastic-Robust Model Predictive Control (SR-MPC) framework for grid-connected PV-BESS microgrids in arid desert environments. The method couples scenario-based sample average approximation with robust uncertainty bounds while penalizing battery...

A PROCEDURAL METHOD FOR GENERATING PBR TEXTURE MAPS FROM HISTORICAL GEOMETRIC PATTERNS

This paper proposes a procedural method for generating PBR texture maps from a parametric geometric model of a historical pattern. A single geometric mask is used as a common spatial source for the Base Color, Height, Normal, and Roughness maps, while surface micro-variations are...

A Cache-Aware Compression Framework: Deriving the Compression Target and Stopping Rule for Transformers on CPU-Class Hardware

In post-training compression of Transformer models, the compression ratio or pruning rate is often predetermined and does not directly take into account the memory capabilities of the target hardware. This work introduces a cache-aware post-training compression framework for CPU-...

ACCURACY - COMPLEXITY TRADE - OFFS OF FACE DETECTION ARCHITECTURES AND THE ROLE OF 2D AND 3D BENCHMARK DATASETS IN THEIR EVALUATION

This article examines the performance-efficiency trade-offs inherent in both conventional and neural-network-based face detection using empirical findings from the WIDER FACE benchmark. The study introduces marginal-cost and saturation metrics as analytical tools and systematical...

LEGALITY-AWARE PLACEMENT OF RECOMMENDER PIPELINES UNDER LAW No. ZRU-547 "ON PERSONAL DATA"

Article 271 of Law No. ZRU-547 constrains where each stage of a recommender pipeline may execute; since March 2026 it depends on the data category. We make that category an input of an optimisation problem: each stage receives a class ρ∈{OPEN,CONDITIONAL,LOCAL}, the law becomes a...

LEGALITY-AWARE PLACEMENT OF RECOMMENDER PIPELINES UNDER LAW No. ZRU-547 "ON PERSONAL DATA"

Article 271 of Law No. ZRU-547 constrains where each stage of a recommender pipeline may execute; since March 2026 it depends on the data category. We make that category an input of an optimisation problem: each stage receives a class ρ∈{OPEN,CONDITIONAL,LOCAL}, the law becomes a...

Identifiability and Conditioning of Flux-Parameter Inversion for the Buckley–Leverett Equation

We analyse inversion of the viscosity ratio M in the Buckley–Leverett equation, distinguishing structural identifiability, observation-operator conditioning, and numerical estimation error. The Riemann solution gives M=4s2−4s from the shock speed s, with relative condition number...

Solvothermal synthesis and multifunctional characterization of a two-dimensional Mn(II) coordination polymer with dibromoterephthalate linkers: Dielectric, BET, and hirshfeld surface studies

A new two-dimensional Mn(II)-based coordination polymer, poly[(μ 2 -2,5-dibromobenzene-1,4-dicarboxylato-κ 2 O:O′)bis(μ 2 -formato-κ 2 O:O′)bis(N,N-dimethylformamide-κO)dimanganese(II)] ([Mn 2 (Br 2 BDC)(Fo) 2 (DMF) 2 ] n ), was synthesized solvothermally at 150 °C for 24 h and o...

ULTRATOVUSHLI TIBBIY TASVIRLARNI SEGMENTATSIYA QILISHDA ADAPTIV MASKANI ANIQLASHTIRISH ALGORITMI

Ushbu maqolada bemorlarga tashxis qo'yishning eng samarali usullaridan biri bo'lgan ultratovush tasvirlarida bachadon miomasini segmentatsiya qilish uchun adaptive maskani aniqlashtirish algoritmi taklif etilgan. Ushbu algoritm modelda o'qitish natijasida hosil bo'lgan ehtimollik...

CLASS-IMBALANCE METHODS IN REGRESSION-BASED ANAEMIA SCREENING: A COMPARATIVE EVALUATION

Imbalance corrections are known to harm calibration without improving discrimination in logistic risk models, but this has not been examined where a regressor predicts a continuous marker and categories follow from diagnostic cut-offs. Using 103 pregnant women, we compared class...

CLASS-IMBALANCE METHODS IN REGRESSION-BASED ANAEMIA SCREENING: A COMPARATIVE EVALUATION

Imbalance corrections are known to harm calibration without improving discrimination in logistic risk models, but this has not been examined where a regressor predicts a continuous marker and categories follow from diagnostic cut-offs. Using 103 pregnant women, we compared class...

Explainable Multi-Objective Quantum-Inspired Fuzzy Optimization of Rule Bases for Scalable Load Balancing in Multi-Factor Computing Environments

The rapid growth of cloud and distributed computing systems has increased the complexity of real-time request distribution under dynamic and multi-factor conditions. In such environments, load-balancing decisions must simultaneously consider uncertain and interdependent parameter...

Systematic evidence review on radiosensitizers and the abscopal effects of radiotherapy

BACKGROUND: The abscopal effect, defined as regression of non-irradiated tumors following localized radiotherapy (RT), is increasingly recognized as an immune-mediated phenomenon. Radiosensitizers may enhance this effect by amplifying radiation-induced immunogenicity and systemic...

A Closed-Loop Measurement Study of Runtime Governance in AI-Driven Smart Building Climate Control

Which runtime governance mechanisms reduce physical risk when a learned controller drives a building’s climate, and under what conditions? We develop a closed-loop software-in-the-loop testbed in which a setpoint model trained on real occupancy data drives a physics-based thermal...