Within the database infrastructures of large-scale enterprises and government organizations, preserving swift and dependable disaster recovery processes continues to be particularly challenging with increasing data volumes and greater complexity in systems. This study conducts an evaluative analysis of advanced failover and backup methods, comparin...

By Harsha Vardhan Reddy Kavuluri

The detection of stroke is vital since any delay in diagnosis may lead to significant disability or the loss of life. The existing predictive models fail to capture stroke symptoms with accuracy because of low complexity, and the ability to be used in the real-time situation in the clinical setting. In the following paper, an AI-based system of ear...

By D. Ushasree, A.V. Praveen Krishna, Ch. Mallikarjuna Rao, D.V. Lalita Parameswari

Predictive maintenance has become an important factor in improving the reliability and efficiency of industrial robots in the evolving environment of smart manufacturing. The proposed paper is a predictive maintenance framework based on AI to be implemented to multi-sensor industrial robots that will be used in a smart manufacturing setting. The po...

By Priya Vij, Ashu Nayak

The world aerospace industry is now facing an important shift from traditional metallic structures to high-tech advanced composite materials in order to meet the two-fold needs of structural optimization and environmental sustainability. This study examines the evolution of high-performance composite materials, particularly carbon fiber reinforced ...

By Ravinder Sharma, Shyam Maurya

Purpose- The main objective of the proposed paper is to create and implement a real-time wearable health monitoring system based on IoT, i.e., Oxy Sense-Wear, that will enable the constant control of the main physiological parameters, such as ECG, EMG, SpO2, body temperature, and physical activity. The system is aimed at long-term surveillance of t...

By M.N. Vimal Kumar, M. Pravin Kumar, Baskar Duraisamy, A.K. Jaithunbi, P. Samson Peter, V.M. Thejashri

Hazardous air pollutants (HAPs) can be a critical risk to the sustainability of the environment and human health, which must be addressed by highly sophisticated predictive models to eliminate risks successfully. In this study, the researcher presents a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with the ability t...

By K. Muralisankar, G. Balaji, C. Ramkumar, M. Vasuki, S. Vijayananthan, D. Angayarkanni, Mohammed Aslam, M. Narmatha

On February 6th 2023 two major earthquakes struck southeast Turkey, M7.7 Kahramanmaras and M7.6 Elbistan, respectively. Unfortunately, due to the impact of these catastrophic events more than 50 000 casualties and 35 000 collapsed buildings have been reported since then. The aim of the study is to demonstrate preliminary site response analysis and ...

By Nikolay Milev, Kiyota Takashi, Juan Briones, Othon Briones, Ozer Cinicioglu, Seda Torisu

Landfill leachate, due to its high total pollution, and above all due to their high organic pollution, represents a significant environmental problem. This study investigated the impacts of the Tilić ada landfill on ground and surface waters. The location of the landfill Tilić ada is extremely sensitive due to the fact that it is located right next...

By Svetlana Sredić, Nebojsa Knezevic, Igor Milunović

The paper discusses the etymological history of "stratigraphy" and "mineralogy," two critical geological terms, from their ancient roots in Latin and Greek to modern times. In fact, such scientific terms represent not only the steps of scientific advancement but also the general trend of cultural interaction and close interrelation between linguist...

By Shokhista Makhmaraimova, Nargis Kurbanazarova, Ilhom Karimov, Sakhovat Zakhidova, Ziyoakhmad Karimov, Zilola Sattorova, Shakhnoza Almamatova, Nurali Amonturdiev

Executing many civil projects is arduous due to the many associated dangers. Risk Assessment (RA) is crucial for selecting building projects and managing construction activities. RA examines adverse events in the preparation and scheduling phases of building projects. Construction risk refers to the vulnerability to possible losses. Given the const...

By Annesly Anton Carvalho, K. Karthikeyan, Dr.J. Clement Sudhahar, Selvam Jesiah