Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(12)
Опубликована: Ноя. 28, 2024
Язык: Английский
Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(12)
Опубликована: Ноя. 28, 2024
Язык: Английский
Process Integration and Optimization for Sustainability, Год журнала: 2025, Номер unknown
Опубликована: Фев. 27, 2025
Язык: Английский
Процитировано
1Energy, Год журнала: 2024, Номер 306, С. 132450 - 132450
Опубликована: Июль 14, 2024
Язык: Английский
Процитировано
9Chemical Engineering and Processing - Process Intensification, Год журнала: 2025, Номер unknown, С. 110326 - 110326
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
1International Journal of Hydrogen Energy, Год журнала: 2023, Номер 49, С. 711 - 723
Опубликована: Ноя. 1, 2023
Язык: Английский
Процитировано
17Applied Soft Computing, Год журнала: 2024, Номер 155, С. 111476 - 111476
Опубликована: Март 8, 2024
Язык: Английский
Процитировано
6Energies, Год журнала: 2023, Номер 16(24), С. 7952 - 7952
Опубликована: Дек. 7, 2023
In response to escalating environmental challenges, this research underscores the pivotal role of sustainable construction practices, particularly focusing on bioclimatic design as a foundational element within realm architecture and upgrading buildings, broader context urban planning. The study delves into perspectives residents in Cyprus concerning building design. Employing quantitative methodology, investigation aims comprehensively assess homeowner views benefits, motivations, concerns, preferred techniques associated with By comprehending these contextual factors, identifies obstacles hindering implementation illuminates why adoption remains limited, despite potential for substantial energy emissions reductions. also examines background respondents, such heating/cooling systems, expenses, upgrade preferences, provide essential findings. A structured questionnaire was administered stratified sample 150 pedestrians Pafos area, ensuring representative cross-section local population. This method allowed robust examination demographic influences opinions an in-depth analysis impact residential characteristics. findings reveal influence cost considerations shaping decisions related property development renovation existing structures, contributing limitation widespread across island. persists even majority respondents express readiness undertake upgrades, among which, most popular actions include installation specialized glass, replacement traditional air conditioning units inverters, energy-efficient lighting. culminates proposal that introducing financial incentives has enhance participation upgrades. recommendation is salient climatic Cyprus, where solar control measures emerges promising avenue bolstering efficiency. considering socio-economic dimensions implicit findings, it becomes evident interplay between practices critical aspect. identified barriers underscore necessity nuanced strategies policy frameworks address adoption. context, contributes body knowledge by shedding light intricate relationship factors architectural offering implications future endeavors avenues interventions.
Язык: Английский
Процитировано
12Operational Research, Год журнала: 2025, Номер 25(2)
Опубликована: Май 2, 2025
Язык: Английский
Процитировано
0Journal of Cleaner Production, Год журнала: 2024, Номер 467, С. 142967 - 142967
Опубликована: Июнь 20, 2024
Язык: Английский
Процитировано
3Journal of CO2 Utilization, Год журнала: 2025, Номер 93, С. 103046 - 103046
Опубликована: Фев. 28, 2025
Язык: Английский
Процитировано
0PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0319858 - e0319858
Опубликована: Март 25, 2025
This study aims to explore the integration of Faster R-CNN (Region-based Convolutional Neural Network) algorithm from deep learning into MobileNet v2 architecture, within context enterprises aiming for carbon neutrality in their development process. The experiment develops a marine oil condition monitoring and classification model based on fusion algorithms. utilizes network extract rich feature information input images combines rapidly accurately generate candidate regions monitoring, followed by detailed these regions. performance is evaluated through experimental assessments. results demonstrate that average loss value proposed approximately 0.45. Moreover, recognition accuracy training testing sets reaches 90.51% 93.08%, respectively, while other algorithms remains below 90%. Thus, constructed this exhibits excellent terms accuracy, providing reliable technical support offshore contributing promotion sustainable utilization conservation resources.
Язык: Английский
Процитировано
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