Artificial Intelligence
Indoor intelligent perception systems have gained significant attention in recent years. However, accurately detecting human presence can be challenging in the presence of nonhuman subjects such as pets, robots, and electrical appliances, limiting the practicality of these systems for widespread use.
In this data port, we build the first comprehensive WiFi dataset of motion from various sources in real-world contexts. It includes WiFi data of humans, pets, cleaning robots, and fans.
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We downloaded the dataset of Hindi Poems from the Website, contains around 2500 poems the downloaded dataset link is: link In the initial phase of our data preprocessing pipeline, we collected text data from a diverse set of HTML files, totaling 2500 documents. These files, constituting a substantial corpus, were meticulously curated for subsequent analysis. To facilitate further investigation, we amalgamated all the extracted text into a consolidated text file, a crucial step in preparing the data for subsequent processing.
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280 Views
Prostate cancer is a major global health challenge. In this study, we present an approach for the detection and grading of prostate cancer through the semantic segmentation of adenocarcinoma tissues, specifically focusing on distinguishing between Gleason patterns 3 and 4. Our method leverages deep learning techniques to improve diagnostic accuracy and enhance patient treatment strategies. We developed a new dataset comprising 100 digitized whole-slide images of prostate needle core biopsy specimens, which are publicly available for research purposes.
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620 Views
In contemporary digital environments, the development of a high-resolution synthetic Latin character dataset holds paramount significance across various real-world applications within the domains of computer vision and artificial intelligence. This relevance extends from tasks such as image restoration to the implementation of sophisticated recognition systems.
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426 Views
This is a data set needed in a research article. It is mainly about the field of reservoirs. There are some files in it. The data are obtained from the files. Readers can use the data they want to verify after learning about the relevant articles. Data are tested to verify the results.
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21 Views
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455 Views
Abstract—Fingerprint recognition technology has become
popular for mobile device authentication systems due to its
reliability and ease of use. As smartphones evolve, fingerprint
sensors are now integrated into smartphone power with a width
of 2.2 mm. However, tiny sensor sizes have led to limited finger
coverage and external factors such as sweat or water droplets
can cause image distortion, making user authentication more
challenging.
To address these issues, we propose the FFP-UNet, which uses
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113 Views
This is the dataset used in the paper MTS4WaterR: Predicting Gate Operation in Open Canal Control with Multi-Task Sequential Model, consisting of 2 main parts, used to train the evaluator and the learner neural networks, respectively.
Each part contains several files:
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61 Views
An understanding of local walking context plays an important role in the analysis of gait in humans and in the high level control systems of robotic prostheses. Laboratory analysis on its own can constrain the ability of researchers to properly assess clinical gait in patients and robotic prostheses to function well in many contexts, therefore study in diverse walking environments is warranted. A ground-truth understanding of the walking terrain is traditionally identified from simple visual data.
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274 Views
The Army Cyber Institute (ACI) Internet of Things (IoT) Network Traffic Dataset 2023 (ACI-IoT-2023) is a novel dataset tailored for machine learning (ML) applications in the realm of IoT network security. This effort focuses on delivering a distinctive and realistic dataset designed to train and evaluate ML models for IoT network environments. By addressing a gap in existing resources, this dataset aims to propel advancements in ML-based solutions, ultimately fortifying the security of IoT operations.
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4108 Views