Titlebook: Recent Advancements in Artificial Intelligence ; Proceedings of ICRAA Richi Nayak,Namita Mittal,Ajay Khunteta Conference proceedings 2024 T

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Empowering Gestures: Composing Succinct Meaning Using Vision and Swin Transformers for Indian Sign lity to effectively communicate is often hindered. To address this issue, image processing technologies like Swin Transformers and Vision Transformers, which are recent developments in Computer Vision, can be employed. Sign Language translation is intended to facilitate communication for Hard-of-Hea

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A Hybrid Approach for Summarizing Text and Image Data Using ResNet and BART,a types has become crucial. Summarizing Heterogeneous data involves generating a concise representation of diverse data types, including text, image, audio, video, and structured data. In this paper, the focus is more on the major data types which are text, image, video, and text extracted from rela

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Epileptic Seizure Recognition System Using Neural Networks and Support Vector Machine Models,zures is difficult to detect and is a very important aspect in improving the health of epileptic patients. Thus, it becomes crucial to record the EEG signals and recognise the patterns in the data that result in a seizure. There are many publicly available datasets for research and educational purpo

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Intelligent Tutoring Systems for Multidisciplinary Education,trators using the ITS. The intelligence in ITS is generated through agents using Artificial Intelligence and Data Analytics. Personalization in Education 5.0 requires a unique digital pedagogy to ensure a human touch in a virtual world. The inclusion of Sustainability Education in Education 5.0 serv

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A Comprehensive Study of SOMs, iSOMs, and Hybrid SOMs for Complex Data,g complex datasets and facilitating interpretability are key visualization functions. Here, we present the potential of Self Organizing Maps (SOMs), Incremental Self Organizing Maps (iSOMs), and Hybrid SOMs as revolutionary tools for data visualization. These methods can potentially solve the proble

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Enhancing Energy Efficiency in Smart Cities Through Robust Deep Learning Frameworks,ainability. This paper delves into the application of robust deep-learning frameworks and wearable sensors to advance energy efficiency in the context of smart cities. We begin with a comprehensive literature review, emphasizing the significance of deep learning in managing energy within urban envir