Machine Learning
This study investigates the integration of artificial intelligence (AI) to enhance endpoint management solutions. The research explores AI's impact on security, efficiency, and compliance within enterprise environments (R1). Through case studies and empirical analysis, the paper highlights the benefits and challenges of such integrations, offering insights into future developments.
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4306 Views
The "Multilabel Extremism Classification Tweets Dataset" dataset contains user comments annotated with labels including toxic, severe toxic, obscene, threat, insult, and identity hate. Designed for multi-label classification, this dataset is valuable for researchers focused on detecting online extremism and toxicity across multiple languages. It enables the development of NLP models for content moderation, hate speech detection, and extremism identification.
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150 Views
The "Multi-Label Extremism and Jihadism Classification Tweets Dataset" dataset is a multilingual resource designed for multi-label classification of online extremism and toxic behavior, including extremism and jihadism. Each comment is annotated with labels indicating the presence of various extremism traits: toxic, severe toxic, obscenity, threats, insults, identity hate, and jihadi content.
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80 Views
The Protection of Children from Sexual Offences (POCSO) Act was an important legislation that was enacted in India in 2012. It aims to safeguard children from sexual exploitation through various enforcement and legal redressal mechanisms. This dataset has been scraped from eCourts India Services using Python script which uses Selenium. We have mined apex and high courts’ judgements, which mentioned the POCSO Act and its respective sections. We have chronologically scraped POCSO judgements from 2012 to 2020 in the corpus.
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404 Views
Measuring and assessing intelligence level in children and adolescents is crucial for monitoring their developmental progress, identifying intellectual disabilities, and implementing early interventions. To date, there is no digital and simplified tool specifically designed to evaluate whether intelligence is normal or abnormal in these age stages.
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92 Views
The metal wings of aircraft and the feathered wings of nature often compete for the same airspace. At times, this leads to collisions and may result in damage to aircraft and sometimes injuries or even death to passengers, crew, and wildlife too. Wildlife strikes are the consequence of various factors. These factors include migration of species, weather, time-of-day, phase of flight and the region of the flight’s route. However, some of the questions remain to be addressed with solid observational data.
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104 Views
This is an optical flow dataset which covers multiple independent moving object samples under various adverse weather. This is an optical flow dataset which covers multiple independent moving object samples under various adverse weather. This is an optical flow dataset which covers multiple independent moving object samples under various adverse weather.
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349 Views
This dataset contains a Magazine_Subscriptions.csv and a Gift_Card.csv, both of which contains a column of item id, a column of user(reviewer) id, a column of user rating, and a column of reviewed time. This data is originally collected by Ni, Jianmo, Jiacheng Li, and Julian McAuley in “Justifying Recommendations Using Distantly-Labeled Reviews and Fine-Grained Aspects,” proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019.
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26 Views
The dataset used was derived from a frequency tunable high power vacuum electron devices (HPVED) optimization task using a simple genetic algorithm (SGA). This device has the topology with 44 optimization parameters and 2 tuning parameters. Each of the two tuning parameters has 6 and 7 discrete adjustment values, respectively. The population size is set to 54, and each individual requires 42 simulations to evaluate its tunability.
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396 Views
Crowdfunding campaigns frequently fail to reach their funding goals, posing a significant challenge for project creators. To address this issue and empower future crowdfunding stakeholders, accurate prediction models are essential. This study evaluates the relative significance of diverse modalities (visual, audio, and text) in predicting campaign success.
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120 Views