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  1. No Access

    Chapter and Conference Paper

    Sentiment Analysis on COVID-19 Tweets: Machine Learning Approach

    Analysis of tweets accompanying a catastrophic situation is a crucial chore. Sentiment analysis is the field of study to analyze the varied opinions shared by diverse users on social networking platforms on va...

    Janrhoni M. Kikon, Rubul Kumar Bania in Emerging Technology for Sustainable Development (2024)

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    Chapter and Conference Paper

    Visualizing Crime Hotspots by Analysing Online Newspaper Articles

    With improvements in technology, India is growing at a fast pace, which has led to a great deal of urbanization. However, instead of reducing, the rate of crime has increased these past couple of years. The ge...

    M. Trupthi, Prerana Rajole in Big Data, Machine Learning, and Applicatio… (2024)

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    Chapter and Conference Paper

    A Remote Health Monitoring System for the Elderly Based on Emerging Technologies

    In the background of a rapidly aging population, the widespread deployment of smart wearable devices might help ease the societal burden created by the growing demand for healthcare and support among the elder...

    C. M. M. Mansoor, Sarat Kumar Chettri in Emerging Technology for Sustainable Develo… (2024)

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    Chapter and Conference Paper

    Blockchain Solutions to the Letter-of-Credit Problem: Leveraging NFTs, Smart Contracts, and IPFS

    The Letter-of-Credit (L/C) has been an integral component of international trade, facilitating trust between global buyers and sellers. However, inherent flaws, such as opacity, inefficient verification mechan...

    P. D. X. Duy, T. N. Anh, K. V. Hong, T. D. Khoa in Services Computing – SCC 2023 (2024)

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    Chapter and Conference Paper

    CIDM-BSC: Cross-platform Infectious Disease Modeling Framework Using Blockchain and Smart Contracts

    Infectious disease spread modeling plays a pivotal role in public health planning and emergency response. However, traditional models often face challenges relating to data integrity, transparency, and efficie...

    Duc Bui Tien, D. M. Hieu, H. V. Khanh in Internet of Things, Smart Spaces, and Next… (2024)

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    Chapter and Conference Paper

    Blockchain-Driven Pet Healthcare: Integrating NFTs, IPFS, and Smart Contracts for Enhanced Pet Medical Data Management

    In the rapidly evolving landscape of pet healthcare, ensuring the integrity, accessibility, and security of medical records is paramount. This paper presents a groundbreaking approach to revolutionize traditio...

    N. H. Kha, N. D. P. Trong, M. N. Triet, T. D. Khoa in Services Computing – SCC 2023 (2024)

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    Chapter and Conference Paper

    Comparative Analysis of Windows for Speech Emotion Recognition Using CNN

    The paper presents the comparison of accuracy in the Speech Emotion Recognition task using the Hamming and Hanning windows for framing the speech and determining the spectrogram to be used as input of a convol...

    Felipe L. Teixeira, Salviano Pinto Soares in Optimization, Learning Algorithms and Appl… (2024)

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    Chapter and Conference Paper

    An Insight on Drone Applications in Surveillance Domain

    Unmanned Aerial Vehicle (UAV), also referred as drone, is the rapid development of the technology. The Drone requires a critical infrastructure element, tools, ground station, communication links, server, and ...

    M. Swami Das, Gunupudi Rajesh Kumar in Big Data, Machine Learning, and Applicatio… (2024)

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    Chapter and Conference Paper

    Towards a Management System of Blood and Its Products Based on Blockchain, Smart Contracts, and NFT: A Case Study in Vietnam

    In today’s healthcare landscape, the integration of science and technology has greatly impacted various aspects of patient care, particularly in the management and preservation of blood and its derivatives. Th...

    N. T. Anh, T. D. Khoa, N. Q. Hien, L. K. Bang in Computational Data and Social Networks (2024)

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    Chapter and Conference Paper

    Realtime Object Distance Measurement Using Stereo Vision Image Processing

    In recent years, great progress has been made on 2D and 3D image understanding tasks, such as object detection and instance segmentation. The recent trends in technology driverless cars are making a difference...

    B. N. Arunakumari, R. Shashidhar in Big Data, Machine Learning, and Applicatio… (2024)

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    Chapter and Conference Paper

    Beyond MobileNet: An Improved MobileNet for Retinal Diseases

    Myopic Maculopathy (MM) is the leading cause of severe vision loss or blindness. Deep learning-based automated tools are indispensable in assisting clinicians in diagnosing and monitoring RD in modern medicine...

    Wenhui Zhu, Peijie Qiu, **wen Chen, Huayu Li, Hao Wang in Myopic Maculopathy Analysis (2024)

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    Chapter and Conference Paper

    Classification of Alzheimer’s Disease Using Stacking-Based Ensemble and Transfer Learning

    Dementia is collection of traits that are linked with a reduced memory power, thinking abilities or other cognition-related skills. Dementia exists in many different forms and can be caused by many different c...

    T. Madhumitha, M. Nikitha in High Performance Computing, Smart Devices … (2024)

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    Chapter and Conference Paper

    Anomaly Detection in SCADA Industrial Control Systems Using Bi-Directional Long Short-Term Memory

    In the modern era, industries are migrating to Industry 4.0 in the aspects of smarter and faster with efficiency to increase productivity to attain a profit. Thus, it becomes a part of Cyber-Physical Systems (...

    M. Nakkeeran, V. Anantha Narayanan in Big Data, Machine Learning, and Applications (2024)

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    Chapter and Conference Paper

    From Bricks to Bits: Revolutionizing Real Estate for the Digital World

    This paper delves into the transformative potential of block- chain technology and Non-Fungible Tokens (NFTs) in the real estate sector, a critical component of social computing. Traditional real estate transa...

    Duc Bui Tien, Trinh. D. Phung in Internet of Things, Smart Spaces, and Next… (2024)

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    Chapter and Conference Paper

    A Review of Smart Education Practices Across Disciplines

    Smart education has become a prevalent way of education delivery to enhance learning effectiveness and efficiency in the digital age. Despite smart education being implemented in a widening range of discipline...

    Billy T. M. Wong, Kam Cheong Li, Meng** Liu in Technology in Education. Innovative Practi… (2024)

  16. No Access

    Chapter and Conference Paper

    Optimized VLSI Circuit Partitioning and Testing Using ACO and BIST Architectures

    Circuit partitioning, an essential strategy in physical design, involves dividing a circuit according to specific constraints to meet particular objectives. These objectives frequently include minimizing the c...

    M. R. Ezilarasan, D. Preethi, Man-Fai Leung in Advances in Neural Networks – ISNN 2024 (2024)

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    Chapter and Conference Paper

    A Survey on DDoS Detection Using Deep Learning in Software Defined Networking

    In this era of internet, cyber attack is one of the most prominent issues all over the world. Distributed denial of service (DDoS) attack is one such attack that has a catastrophic effect, and it is hard to de...

    M. Franckie Singha, Ripon Patgiri in Big Data, Machine Learning, and Applications (2024)

  18. No Access

    Chapter and Conference Paper

    Prediction of At-Risk Students Using Learning Analytics: A Literature Review

    Early identification of at-risk students has been recognised as being of the utmost importance for the provision of timely support. Despite the prevalent use of learning analytics in this regard, little attent...

    Kam Cheong Li, Billy T. M. Wong in Technology in Education. Innovative Practi… (2024)

  19. Chapter and Conference Paper

    The Death Process in Italy Before and During the Covid-19 Pandemic: A Functional Compositional Approach

    In this talk, based on [1], we propose a spatio-temporal analysis of daily death counts in Italy, collected by ISTAT (Italian Statistical Institute), in Italian provinces and municipalities. While in [1] the f...

    Riccardo Scimone, Alessandra Menafoglio in Classification and Data Science in the Dig… (2023)

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    Chapter and Conference Paper

    Prediction of Polycystic Ovarian Syndrome Using Machine Learning Techniques

    Polycystic ovarian syndrome, better known as PCOS, is a widespread medical condition that every one in ten women of childbearing age has to suffer. This condition leads to hormonal and metabolic imbalance that...

    Asis Kaur Baweja, M. Kanchana in Machine Learning, Image Processing, Networ… (2023)

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