Enhancing Energy Efficiency in Green Buildings through Artificial Intelligence DOI Creative Commons
Feng Zhang,

Minyue Ge,

Qian Meng

и другие.

Frontiers in Science and Engineering, Год журнала: 2024, Номер 4(8), С. 21 - 30

Опубликована: Авг. 21, 2024

Artificial Intelligence (AI) is poised to revolutionize the architectural design and energy management of green buildings, offering significant advancements in sustainability efficiency. This paper explores transformative impact AI on improving efficiency reducing carbon emissions commercial buildings. By leveraging algorithms, architects can optimize building performance through advanced environmental analysis, automation repetitive tasks, real-time data-driven decision-making. facilitates precise consumption forecasting integration renewable sources, enhancing overall Our study demonstrates that reduce CO2 by approximately 8% 19%, respectively, typical mid-size office buildings 2050 compared conventional methods. Further, combination with policies low-emission production projected yield reductions up 40% 90% emissions. provides a systematic approach for quantifying AI's benefits across various types climate zones, valuable insights decision-makers construction industry.

Язык: Английский

Integrating AI with Financial Accounting Processes: Innovations and Challenges DOI Creative Commons

Yaxin Liang,

Gaozhe Jiang,

Yafeng He

и другие.

International Journal of Computer Science and Information Technology, Год журнала: 2024, Номер 3(3), С. 1 - 10

Опубликована: Авг. 12, 2024

In the context of artificial intelligence (AI), convergence advanced technologies has profoundly reshaped financial accounting and management paradigms. This transformation is characterised by emergence intelligent finance tools, including integrated industry-financial software robots, which facilitate automated, data-driven processes. These innovations significantly reduce human involvement in routine tasks, leveraging AI capabilities to conduct comprehensive data analysis enhance decision-making through more profound insights from extensive datasets. Despite these advancements, cybersecurity risks necessity for updated theoretical regulatory frameworks persist. Nevertheless, integrating with practices holds promise enhancing operational efficiencies redefining digital age.

Язык: Английский

Процитировано

1

AI-Powered Educational Data Analysis for Early Identification of Learning Difficulties DOI Open Access
Chun Wang,

Jianke Zou,

Ziyang Xie

и другие.

Опубликована: Авг. 6, 2024

Based on the detailed exploration of AI techniques for early identification learning difficulties in education, this study underscores pivotal role educational data analysis enhancing student outcomes. Educators can proactively identify and address challenges through systematic collection analysis, thereby minimizing long-term academic obstacles emotional stress. The integration AI, particularly natural language processing computer vision technologies, facilitates personalized paths real-time interventions, offering tailored support that maximizes each student's potential. These advancements optimize resource allocation foster a more inclusive effective environment, paving way future education intelligent teaching practices.

Язык: Английский

Процитировано

1

Impact of AI-driven Data Visualization on User Experience in the Internet Sector DOI Open Access
Gaozhe Jiang, Shijia Huang,

Jianke Zou

и другие.

Опубликована: Авг. 15, 2024

This article explores the specific impact of artificial intelligence (AI) -driven data visualisation technologies in user experience Internet industry. Through introduction machine learning and mining technologies, AI has significantly improved automation visualization tools, promoting innovation methods improving quality efficiency cleaning, processing, analysis. In addition, also promoted development personalised visualization, providing users with a richer more intuitive way to present data. paper analyses applications AI-driven learning, natural language computer vision. It demonstrates positive effects on understanding optimisation models through practical feedback from Yellowbrick tools.

Язык: Английский

Процитировано

1

The Integration of Artificial Intelligence in Architectural Visualization Enhances Augmented Realism and Interactivity DOI Open Access

Qian Meng,

Minyue Ge,

Feng Zhang

и другие.

Опубликована: Авг. 14, 2024

The construction industry is an important part of the national economic market various countries; since 2013, industry's added value in gross domestic product has been more than 6%, reaching 6.89% 2022, and a pillar economy. Intelligent realistic demand to promote high-quality development China's industry. It key focus transforming upgrading traditional information, digital, intelligent. As new production factor, robots have become promoting intelligent construction. Under guidance policies, thanks huge volume rich application scenarios, many innovative entrepreneurial entities entered field robots. Architectural visualization crucial aspect architectural design communication. With science technology, artificial intelligence (AI) technology increasingly becoming essential tool for emergence AI provided architects with flexible creative ways present ideas. All along, designers who love architecture passionate about exploring better solutions architecture, but there never optimal solution design; fire future era; it brings us opportunities also forces face challenges from future.

Язык: Английский

Процитировано

1

Enhancing Energy Efficiency in Green Buildings through Artificial Intelligence DOI Creative Commons
Feng Zhang,

Minyue Ge,

Qian Meng

и другие.

Frontiers in Science and Engineering, Год журнала: 2024, Номер 4(8), С. 21 - 30

Опубликована: Авг. 21, 2024

Artificial Intelligence (AI) is poised to revolutionize the architectural design and energy management of green buildings, offering significant advancements in sustainability efficiency. This paper explores transformative impact AI on improving efficiency reducing carbon emissions commercial buildings. By leveraging algorithms, architects can optimize building performance through advanced environmental analysis, automation repetitive tasks, real-time data-driven decision-making. facilitates precise consumption forecasting integration renewable sources, enhancing overall Our study demonstrates that reduce CO2 by approximately 8% 19%, respectively, typical mid-size office buildings 2050 compared conventional methods. Further, combination with policies low-emission production projected yield reductions up 40% 90% emissions. provides a systematic approach for quantifying AI's benefits across various types climate zones, valuable insights decision-makers construction industry.

Язык: Английский

Процитировано

1