Frederic Mirindi

Frederic Mirindi
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Frederic verified their affiliation via an institutional email.
Verified
Frederic verified their affiliation via an institutional email.
  • Master of Science
  • PhD Student at University of Manitoba

Lecturer: Applied Math and Microeconomics at Booth University College.

About

14
Publications
1,756
Reads
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11
Citations
Current institution
University of Manitoba
Current position
  • PhD Student
Additional affiliations
University of Manitoba
Position
  • Professor - Booth University College
August 2018 - September 2019
University of Antwerp
Position
  • Master's Student
Description
  • Advanced Master in Development Evaluation and Management.

Publications

Publications (14)
Article
Nanoparticles significantly enhance the properties of wood-based materials, especially particleboards and wood panels. This review analyzes secondary data on nanoparticle integration in board production, aiming to evaluate the relationships among physical (water absorption (WA) and thickness swelling (TS)) and mechanical (modulus of rupture (MOR),...
Article
Full-text available
The integration of Artificial Intelligence (AI) and Building Information Modeling (BIM) represents a paradigm shift in the architecture, engineering, and construction (AEC) industry. This change revolutionizes how buildings are designed, constructed, and managed throughout their lifecycle. Using secondary data, this research aims to evaluate the cu...
Article
Full-text available
The rapid advancement of artificial intelligence (AI) has led the AI community to speculate that artificial superintelligence (ASI) may be within reach, particularly if an AI system can iteratively search for solutions, learn from results, and leverage improved knowledge for more searches. In this context, this study explores the integration of Gen...
Article
Full-text available
To refine the process of anticipating the structural integrity of laterite block components, the use of Machine Learning (ML) algorithms is required. This study initiates an exploration into forecasting the compressive strength of laterite blocks infused with Metakaolin-Based Geopolymer (MKG) and Sugarcane Molasses (SM), utilizing machine learning...
Article
Full-text available
This paper examines the multifaceted impacts of digital transformation on society and economy, with a focus on its influence on communication, language, and culture. Through a synthesis of theoretical models and empirical evidence, we demonstrate that digital technologies offer unprecedented opportunities for economic empowerment and social connect...
Article
Full-text available
The rapid advancement of aerospace technology, coupled with the exponential growth in available data, has catalyzed the integration of artificial intelligence (AI) across the aerospace sector. This comprehensive review examines the state-of-the-art applications of AI, machine learning (ML), deep learning (DL), and generative artificial intelligence...
Article
Full-text available
In order to increase the efficiency of predicting concrete compressive strength, ensemble machine learning (ML) algorithms are required. Considering that each ML algorithm continuously varies in methodology, one ML algorithm cannot generate exhaustive prediction results since limited parameters are available to tune. This research serves as a begin...
Chapter
Artificial intelligence (AI), machine learning (ML) and deep learning (DL) have been rapidly transforming and innovating the transportation sector in recent years. This is not only enabling greener, safer and more efficient mobility solutions, but also combating climate change. This comprehensive study explores the current applications, ethical con...
Article
Full-text available
Under the turbulence of global change, the production of boards has been influenced by the rising demand and price of wood-based materials. To improve the structural performance of boards, reinforcement materials have been added, such as nanoparticles. The purpose of this review is to explore the application of nanomaterials, including nano-SiO2, n...
Article
Full-text available
The rapid digitization of urban infrastructure and the availability of urban data have created opportunities for developing and using artificial intelligence (AI), machine learning (ML), and deep learning (DL) algorithms to address cities' difficult problems. This research offers a thorough evaluation of state-of-the-art AI, ML, and DL algorithms i...
Conference Paper
Full-text available
With the rapid ongoing development of our cities, there is a need for alternative approaches to reusing recycled plastics. One of them could be to utilize them in the construction industry. This study aims to review the circular life cycle of plastic, its applications in various fields, and the compressive strength of concrete by mixing polypropyle...
Poster
Full-text available
With the rapid ongoing development of our cities, there is a need for alternative approaches to reusing recycled plastics. One of them could be to utilize them in the construction industry. This study aims to review the circular life cycle of plastic, its applications in various fields, and the compressive strength of concrete by mixing polypropyle...
Conference Paper
Full-text available
In the fast-paced world of construction, Building Information Modeling (BIM) is revolutionizing offsite construction, leading to significant improvements in efficiency, functionality, and sustainability. This study examines BIM's critical role in enhancing offsite construction, aiming to showcase its potential to transform construction practices to...
Poster
Full-text available
In the fast-paced world of construction, Building Information Modeling (BIM) is revolutionizing offsite construction, leading to significant improvements in efficiency and sustainability. This study examines BIM's critical role in enhancing offsite construction, aiming to showcase its potential to transform construction practices towards better eff...

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