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The BNS (Bharatiya Nyay Sanhita) dataset is a comprehensive collection of legal texts which was web-scraped.. It consists of chapters and their respective sections, capturing detailed legal content relevant to the recently introduced BNS framework in India. This dataset was gathered using a Python-based web scraping script leveraging Selenium WebDriver, ensuring accuracy and completeness. Available in CSV formats, the dataset facilitates ease of access for legal research, natural language processing (NLP) tasks, and AI-based legal assistance applications.
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The PhishFOE Dataset is a comprehensive dataset designed for phishing URL detection using machine learning techniques. The dataset contains 101,083 URLs, with labeled features extracted from both the URL structure and HTML content of webpages. It provides insights into key characteristics that distinguish phishing websites from legitimate ones.
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Total Samples: 101,083
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Label:
0for Legitimate,1for Phishing
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27 Views
Dataset was created for the purposes of exploring time distortion with non-ideal near-field conditions. A 90 Hz square wave is played at 100dBA through a bookshelf speaker with the port removed. The recordings were captured at 5 separate axial distances (From 2" to 17", following inverse square law), and at three levels of resistive loading (No added resistance, 1.5 ohm, 3 ohm). The DC resistance of the speaker was measured at 6.9 ohms. To avoid overtraining, captures were recorded on a moving dynamic microphone.
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3 Views
This paper presents an enhanced methodology for network anomaly detection in Industrial IoT (IIoT) systems using advanced data aggregation and Mutual Information (MI)-based feature selection. The focus is on transforming raw network traffic into meaningful, aggregated forms that capture crucial temporal and statistical patterns. A refined set of 150 features including unique IP counts, TCP acknowledgment patterns, and ICMP sequence ratios was identified using MI to enhance detection accuracy.
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71 Views
The dataset contains 877 records with 67 variables, documenting various COVID-19-related indicators in Indonesia. The data spans daily case statistics, including new cases, cumulative cases, recoveries, and fatalities. It also tracks government response measures, such as school and workplace closures, public event restrictions, travel controls, and mask mandates. Additionally, it includes vaccination statistics, government response indices, and mobility changes in different sectors (retail, workplaces, and residential areas).
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108 Views
The dataset contains 877 records with 67 variables, documenting various COVID-19-related indicators in Indonesia. The data spans daily case statistics, including new cases, cumulative cases, recoveries, and fatalities. It also tracks government response measures, such as school and workplace closures, public event restrictions, travel controls, and mask mandates. Additionally, it includes vaccination statistics, government response indices, and mobility changes in different sectors (retail, workplaces, and residential areas).
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64 Views
This dataset comprises 2 million synthetic samples generated using the Variational Autoencoder-Generative Adversarial Network (VAE-GAN) technique. The dataset is designed to facilitate cardiovascular disease prediction through various demographic, physical, and health-related attributes. It contains essential physiological and behavioral indicators that contribute to cardiovascular health.
Dataset Description The dataset consists of the following features:
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87 Views
This dataset comprises 2 million synthetic samples generated using the Variational Autoencoder-Generative Adversarial Network (VAE-GAN) technique. The dataset is designed to facilitate cardiovascular disease prediction through various demographic, physical, and health-related attributes. It contains essential physiological and behavioral indicators that contribute to cardiovascular health.
Dataset Description The dataset consists of the following features:
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227 Views
The incorporation of Internet of Things (IoT) technology with agriculture has transformed several farming practices, bringing unparalleled simplicity and efficiency. This article explores the robust integration of IoT and blockchain technology(BIoT) in agricultural operations, offering insight into the resulting BIoT system’s design. This study investigates the potential benefits of merging the IoT and blockchain technologies in agriculture. A system for tracking plant growth using sensors and blockchain-integrated IoT has been developed and analyzed.
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104 Views
This dataset accompanies the study “Universal Metrics to Characterize the Performance of Imaging 3D Measurement Systems with a Focus on Static Indoor Scenes” and provides all measurement data, processing scripts, and evaluation code necessary to reproduce the results. It includes raw and processed point cloud data from six state-of-the-art 3D measurement systems, captured under standardized conditions. Additionally, the dataset contains high-speed sensor measurements of the cameras’ active illumination, offering insights into their optical emission characteristics.
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127 Views