Light & Engineering 34 (№1 2026). Electronic version

Light & Engineering 34 (1) 2026

Volume 1
Date of publication 02/16/2026
Pages 140

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Light & Engineering 34 (№1 2026). Electronic version
In the magazine:

Mustafa Serhan Unluturk, Zehra Tugce Kazanasmaz, Berk Ekici, and Turkan Goksal Ozbalta A Computational Framework for Optimising Daylight Performance of Double Skin Facades in Educational Buildings: Case of Mediterranean Climate

Fatmanur Atalay and Cuneyt Kurtay Findings from Daylight Simulations on Straight and Elbowed Light Pipes

George V. Boos, Vladimir P. Budak, Ruzanna A. Delyan, Dmitry S. Zakhidov, and Artyom V. Pavlov Transformations of Mac-Adam Ellipses Across a Wide Range of Luminance Levels

Albert A. Ashryatov, Dinara K. Churakova, and Evgeny A. Kuznetsov Research into the Effect of LED Retrofit Lamps Optical System Design on their Luminous Characteristics

Mourad Talbi, Nawel Mensia, and Abdelmajid Zairi Real-Time Implementation of a Solar Photovoltaic System Employing Arduino Card

Michael V. Tarasenkov, Marina V. Engel’, Vladimir V. Belov, Anna V. Shesterikova, and Alexandra S. Bogdanova Technology for Ground Surface Reflectance Recovering Using Passive Satellite Remote Sensing Data

Minh Bach Nguyen, Yuri V. Fedotov, Nikolay V. Baryshnikov, and Michael L. Belov Experimental Studies on the Effects of Projective Coating of Vegetation on the Efficiency of the Oil Contamination Detection Method in the Near-IR Range

Mustafa Sahin, Ramazan Gok, and Hasan Cimen The Potential to Reduce the Operating Costs of SportsLighting Equipment Maintenance through the Use of Neural Networks

Yang Wang, Fukang Sun, and Qiansheng Fang Indoor Lighting Intelligent Control Using ContextAware-Based LLM Agent and Domain Knowledge Base

Mouaadh Yaichi, Zakaria Benarbia, Mhamed Rebhi, and Bousmaha Bouchiba Deep Learning-Based Power Forecasting for Smart Street Lighting: A Comparative Study of LSTM and CNN-LSTM

Olcay Palta, Musa Cıbuk, and Hanifi Guldemır Illumination-Aware Deep Learning for White Blood Cell Classification: A CBAM and Texture Feature Fusion Approach

Konstantin A. Tomskiy, Dmitriy E. Shchur, Sergei S. Baev, and Vladimir S. Peretyagin Mapping Lighting in Museum Premisesto Improve Microclimate Management

Elena Yu. Matveeva and Svetlana S. Gorokhova State Control (Supervision) over the Energy Efficiencyof Lighting Products: A Comparative Legal Analysis of Regulatory Mechanisms in the EAEU and the EU

Elena Yu. Matveeva, Svetlana S. Gorokhova, and Natalia V. Grigorieva Energy Service Contract: Imperfections of the Legislative Definition

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