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Publicly available dataset weibo_senti_100k, which consists of Weibo comments, verify the validity of the model. We have assigned the label of 0 to negative semantics, 1 to neutral statements, and 2 to positive semantics in the dataset,comments data is divided into a training set, a test set and a validation set, distributed in a ratio of 3:1:1 to facilitate the training and evaluation of our machine learning model.
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9 Views
Public safety is seriously threatened by road accidents, which are a major global concern in urban settings. The capital of Bangladesh, Dhaka City, stands out among these locations as a perfect illustration of the complicated difficulties confronted by highly populated cities in ensuring road safety. In this paper, we have used time-series analysis to model the temporal patterns and trends in accident occurrence and machine learning algorithms to identify accident hotspots and comprehend the causes of traffic accidents.
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223 Views
This dataset plays a pivotal role in facilitating efficient resource management strategies, catering to the complex needs of modern Fog/Cloud environments. It comprises comprehensive information regarding machine configurations, task requirements, and bandwidth allotments. These details are indispensable for optimizing resource utilization, ensuring tasks are assigned to suitable machines based on their capabilities, and managing bandwidth allocation to prevent bottlenecks and maximize network efficiency.
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42 Views
An IEEE 802.15.4 backscatter communication dataset for Radio Frequency (RF) fingerprinting purposes.
It includes I/Q samples of transmitted frames from six carrier emitters, including two USRP B210 devices (labeled as c#) and four CC2538 chips (labeled as cc#), alongside ten backscatter tags (identified as tag#). The carrier emitters generate an unmodulated carrier signal, while the backscatter tags employ QPSK modulation within the 2.4 GHz frequency band, adhering to the IEEE 802.15.4 protocol standards.
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167 Views
Plasma-based semiconductor processing is highly sensitive, thus even minor changes in the procedure can have serious consequences. The monitoring and classification of these equipment anomalies can be performed using fault detection and classification (FDC). However, class imbalance in semiconductor process data poses a significant obstacle to the introduction of FDC into semiconductor equipment. Overfitting can occur in machine learning due to the diversity and imbalance of datasets for normal and abnormal.
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51 Views
This paper focuses on advancements in predictive maintenance driven by artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). It explores applications in the predictive maintenance in industries, aiming to provide a comprehensive understanding of current methodologies and future prospects. The discussion focuses on predictive maintenance methodologies, highlighting strengths, limitations, challenges, and opportunities.
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53 Views
Wi-Fi FTM RSSI Localization dataset
Wi-Fi Fine Time Measurement for positioning / Indoor Localization in 3 different locations and using 8 different APs
Custom APs using ESP32C3 and Raw FTM is measured in nanoseconds
Data is only measured at the Router Side
Data is not measured at client side
Has 4 datasets inside the zip folder with over 100,000 data points
Contains processed Wi-Fi FTM packets from various routers in:
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417 Views
Wi-Fi BLE RSSI SQI Localization dataset
Wi-Fi BLE RSSI for positioning / Indoor Localization in 4 different locations and using 18 different APs
Data is only measured at the Router Side
Data is not measured at client side
Has 12 datasets inside the zip folder with over 1,000,000 data points
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346 Views
In today's world of online communication, hate speech is a big problem. This dataset focuses on hate speech in Bengali, analyzing speeches to see if they contain hate or not. While there are many ways to analyze text online, most of them focus on languages like English, leaving out Bengali. But hate speech in Bengali is serious and common, especially on platforms like Facebook and YouTube. Sometimes, even TV shows have comments that are not nice for everyone to see. Finding and stopping hate speech in Bengali is hard because there aren't good tools for it yet.
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137 Views
The electroretinogram (ERG) is a clinical test that records the retina's electrical response to light. The ERG is a promising way to study different neurodevelopmental and neurodegenerative disorders, including Autism Spectrum Disorder (ASD) - a neurodevelopmental condition that impacts language, communication, and social interactions. However, privacy issues and a lack of data complicate Artificial Intelligence applications in this domain. Synthetic ERG signals generated from real ERG recordings should carry similar information and could be used as an extension for natural data.
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131 Views