Publications

Karaca F., Tleuken A., Awan H.H., Askar R., Çıdık M.S., Iskakova A., Turkyilmaz A., Laudal T., Durdyev S., Varol H.A., Salles A., Bajāre D., Tambovceva T., Zsembinszki G., Puma G.C.C., Kapsalyamova Z., Kripa D., Azhgaliyeva D., Nano X., Cabeza L.F., Bragança L. AUTHOR FULL NAMES: Karaca, Ferhat (8632194500); Tleuken, Aidana (57201584666); Awan, Hamad Hassan (57224074989); Askar, Rand (58998726500); Çıdık, Mustafa Selçuk (56422214000); Iskakova, Anel (59179777600); Turkyilmaz, Ali (26659343100); Laudal, Thomas (35603480400); Durdyev, Serdar (55132047800); Varol, Huseyin Atakan (24484134500); Salles, Adriana (58198736000); Bajāre, Diāna (6508179804); Tambovceva, Tatjana (55359732200); Zsembinszki, Gabriel (6508016470); Puma, Genesis Camila Cervantes (59464042700); Kapsalyamova, Zhanna (56272462800); Kripa, Dorina (57321075400); Azhgaliyeva, Dina (56197045500); Nano, Xhesila (59140738500); Cabeza, Luisa F. (7004085845); Bragança, Luís (6507844851) 8632194500; 57201584666; 57224074989; 58998726500; 56422214000; 59179777600; 26659343100; 35603480400; 55132047800; 24484134500; 58198736000; 6508179804; 55359732200; 6508016470; 59464042700; 56272462800; 57321075400; 56197045500; 59140738500; 7004085845; 6507844851 Stakeholder perspectives on the costs and benefits of circular construction (2024) Scientific Reports, 14 (1), art. no. 30039, Cited 3 times. DOI: 10.1038/s41598-024-81741-z https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211332044&doi=10.1038%2fs41598-024-81741-z&partnerID=40&md5=b3037d9366644d708a7cd375257b2cb7 КРАТКОЕ ОПИСАНИЕ: The construction industry significantly impacts the environment through natural resource depletion and energy consumption, leading to environmental degradation. Circular Economy (CE) material efficiency strategies—such as material reuse, design for disassembly, prefabrication, and recycling—offer promising solutions for reducing resource consumption and waste. This paper explores stakeholders’ perspectives on the costs and benefits of implementing CE material efficiency strategies in the construction industry, using the 3-R (Reduce, Reuse, Recycle) framework. By analyzing data from 382 participants, it assesses perceptions of costs and benefits, uncovering regional differences. The findings highlight that studied European stakeholders prioritize reuse and design for disassembly, while studied non-European countries focus on offsite production and material reuse optimization. Despite these differences, both groups view waste reduction as a key benefit, due to the cost savings it provides. By highlighting regional drivers and barriers to CE adoption, this research establishes a foundation for developing targeted policies and collaborative strategies to advance CE implementation in construction worldwide. © The Author(s) 2024. ИЗДАТЕЛЬ: Nature Research ISSN: 20452322 ТИП ДОКУМЕНТА: Article СТАДИЯ ПУБЛИКАЦИИ: Final ИСТОЧНИК: Scopus

Adal Abilbekov, Saida Mussakhojayeva, Rustem Yeshpanov, Huseyin Atakan Varol. KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech Synthesis. LREC-COLING 2024, pages 9626–9632. https://doi.org/10.48550/arXiv.2404.01033

Rustem Yeshpanov, Huseyin Atakan Varol. KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudes. LREC-COLING 2024, pages 9657–9667. https://doi.org/10.48550/arXiv.2403.19335

Bissarinova, U.; Rakhimzhanova, T.; Kenzhebalin, D.; Varol, H.A. Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras. Sensors 2024, 24, 1409. https://doi.org/10.3390/s24051409

Bissarinova U, Tleuken A, Alimukhambetova S, Varol HA, Karaca F. DL-SLICER: Deep Learning for Satellite-Based Identification of Cities with Enhanced Resemblance. Buildings. 2024; 14(2):551. https://doi.org/10.3390/buildings14020551

S. Mussakhojayeva et al., "Noise-Robust Multilingual Speech Recognition and the Tatar Speech Corpus," 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Osaka, Japan, 2024, pp. 732-737, doi: 10.1109/ICAIIC60209.2024.10463419.

D. Orel, A. Kuzdeuov, R. Gilmullin, B. Khakimov and H. A. Varol, "TatarTTS: An Open-Source Text-to-Speech Synthesis Dataset for the Tatar Language," 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Osaka, Japan, 2024, pp. 717-721, doi: 10.1109/ICAIIC60209.2024.10463261.

A. Kuzdeuov, O. Mukayev, S. Nurgaliyev, A. Kunbolsyn and H. A. Varol, "ChatGPT for Visually Impaired and Blind," 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Osaka, Japan, 2024, pp. 722-727, doi: 10.1109/ICAIIC60209.2024.10463430.

Rakhimzhanova, T.; Kuzdeuov, A.; Varol, H.A. AnyFace++: Deep Multi-Task, Multi-Domain Learning for Efficient Face AI. Sensors 2024, 24, 5993. https://doi.org/10.3390/s24185993

Keutayeva, A., Fakhrutdinov, N. & Abibullaev, B. Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs. Sci Rep 14, 25775 (2024). https://doi.org/10.1038/s41598-024-73755-4

Ziat, M., Kabdsyhev, N., Topp, S., Duvernoy, B., Milroy, J., Kappassov, Z. (2025). Evaluation of HaptiComm-S for Replicating Tactile ASL Numbers: A Comparative Analysis of Direct and Mediated Modalities. In: Kajimoto, H., et al. Haptics: Understanding Touch; Technology and Systems; Applications and Interaction. EuroHaptics 2024. Lecture Notes in Computer Science, vol 14768. Springer, Cham. https://doi.org/10.1007/978-3-031-70058-3_36

A. Keutayeva and B. Abibullaev, "Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey," in IEEE Access, vol. 12, pp. 62628-62647, 2024, doi: 10.1109/ACCESS.2024.3394696. keywords: {Brain modeling;Electroencephalography;Transformers;Data models;Decoding;Task analysis;Training;Brain-computer interfaces;data scarcity;survey;deep learning;transformer;EEG;self-attention mechanism;motor imagery;BCI},