The construction sector has embraced approaches toward sustainability by incorporating green certification frameworks such as IGBC, BREEAM, and LEED. However, the understanding of these systems poses a problem in terms of developing economies along with their economic feasibility within a cost-benefit analysis and ROI perspective over time. This st...

By Sherjon Sherjonov, Ozodbek Nematov, Gulchekhra Razzokova, Gaybullaev Otabek, Maftunaxon Yakubjonova, Dilafruz Karshiboyeva, Kamala Kodirova, Dilfuza Abdullayeva

With the rapid advancement in electric vehicle (EV) technology, efficient battery management has become crucial for enhancing performance, safety, and longevity. This research integrates Internet of Things (IoT) and artificial intelligence (AI) technology to provide a revolutionary solution to battery management in electric vehicles. Our suggested ...

By R. Ramya, V. Ramya, J. Jaganpradeep, M. Balamurugan, P. Murugesan

The Modular Multilevel Converter (MMC) has emerged as the preferred architecture for integrating renewable energy power plants into the grid via undersea HVDC cables and HVDC overhead lines. However, to mitigate the significant power pulsations introduced by the single-phase AC–DC conversion in its arms, the MMC necessitates the use of large ...

By D. Lenine, P. Sai Sampath Kumar, B. Venkatesh Reddy, K. Jagadeesh, P. Sesi Kiran, J. Surya Kumari

Given the complexity and multifaceted nature of the financial markets, effective aggregation of financial time series data underscores the optimization of predictive modeling in the finance industry. This research presents an innovative approach to clustering using auto encoders designed to distill informative representations out of S&P 500 fin...

By M. Sravan Kumar Reddy, C. Supraja

Edge detection is a critical image processing operation and is a core aspect of feature extraction as well as object identification. In this paper, we introduce an uncomplicated pipelined hardware architecture for Sobel edge detection and Canny edge detection on an FPGA for comparing their edge detection performance, on-chip power, and resource usa...

By Ancy Joy, Jisha Jacob, Basil Roy

New smart museums, integrating technologies like augmented reality (AR), virtual reality (VR), interactive kiosks, Internet of Things (IoT) devices, and AI tools, mark a departure from treating industrial history as a passive archival medium. The incorporation of these technologies allows for a shift from passive learning to actively experiencing h...

By Umidbek Abdalov, Nilufar Rajabova, Rufat Karimov, Zafar Khasanov, Rukiya Ashurbayeva, Mamlakat Xonnazarova, Dilshod Khamidov, Dilfuza Abdullayeva

Sentiment analysis has come out as an important activity in natural language processing (NLP) applications whose data analysis is in high demand at present in the modern world. The BERT (Bidirectional Encoder Representations from Transformers) algorithm has proved to be extremely efficient when it comes to sentiment analysis tasks, and its potentia...

By Alaa A. El-Demerdash, Nahla B. Abdel- Hamid, Amira Y. Haikal

Water efficiency in agriculture is a crucial measure of how effectively farmers use their most vital resource. In practical terms, it reveals how much applied water actually nourishes crops versus being lost to evaporation or runoff. In the Bundelkhand region of Uttar Pradesh, India, where water is incredibly scarce, making every drop count is cruc...

By Aakanksha Rawat, Mukul Kulshrestha

This paper presents a comprehensive investigation into the seismic performance of a G+5 reinforced concrete spaceframe subjected to pushover analysis. The analysis incorporates the critical influence of soil-structure interaction on varying slope inclinations. A nonlinear static pushover method is utilized to examine the lateral loading streng...

By Tushar Golait, Neeraj Tiwari, Manjeet Singh Hora

The rising threat of cyberattacks in today's society emphasizes the urgent need for improved methods to both detect and prevent these incidents. This paper focuses on assessing the effectiveness of various techniques for predicting cyberattacks. The DTCF taxonomy was proposed for predicting these attacks, considering datasets, techniques, challenge...

By Azhar F. Al-zubidi, Alaa Kadhim Farhan, Abeer Alsadoon