Structural health monitoring (SHM) allows damage to the structure or its components to be identified at an early stage by self-diagnosis with the aid of sensors. The usage of SHM enables safe engineering and reduces the maintenance costs of the industry. The s…
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15 results for “Structural Health Monitoring, EMI Method”
Structural health monitoring is an interdisciplinary field that enables early detection of undesirable situations such as damage or defects that occur in the structure or its components thanks to its ability to self-diagnosis. It is possible to use safer engin…
This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building…
This study presents a comprehensive overview of biophilic design research that incorporates ecological considerations, specifically focusing on energy efficiency, thermal comfort, and sustainability. While biophilic design has traditionally emphasized human we…
This study basically presents a review of robotic hands and its applications based on human hand motion. In the context of the review, different kinds of articles are analyzed. There are some hand motion-sensing methods, which are noncontact and direct contact…
Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…
This paper examines the development of sustainable architectural design strategies in office buildings from 1970 to the present. Drawing on literature, policies, and historical examples, it traces the transformation of sustainability from a loosely defined env…
Cyber security is an important concept, and its importance is increasing daily in every aspect of our daily lives. The increase in technology usage areas and rate in online platforms is one of the most important reasons for the security requirement. Today, the…
The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…
In recent years, significant improvements have been made in face transplants as well as organ transplants operations. It is also important to improve the adaptation process and quality of life of the patient after the transplant as well as the successful compl…
In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…
This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…
In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…
In recent years, nanofluids, the dispersion of nanoparticles with sizes less than 100 nm in base fluids, have been attracted the interest of many researchers due to their capability of enhancing thermophysical properties. In this review paper, experimental s…
The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …