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ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu
Social media has become the most popular platform for free speech. This freedom of speech
has given opportunities to the oppressed to raise their voice against injustices, but on the …
has given opportunities to the oppressed to raise their voice against injustices, but on the …
Hate speech and target community detection in nastaliq urdu using transfer learning techniques
Freedom of expression on social media has provided oppressed people with many
opportunities to raise their voices against violence and injustice, but this freedom is being …
opportunities to raise their voices against violence and injustice, but this freedom is being …
[HTML][HTML] Dataset of Pakistan sign language and automatic recognition of hand configuration of urdu alphabet through machine learning
Social correspondence is one of the most significant columns that the public dependent on.
Notably, language is the best way to communicate and associate with one another both …
Notably, language is the best way to communicate and associate with one another both …
Textual cyberbullying detection using ensemble of machine learning models
GB Anwar, MW Anwar - … on IT and Industrial Technologies (ICIT …, 2022 - ieeexplore.ieee.org
Nowadays Cyberbullying on social media has become a major problem. Cyberbullying may
cause many serious and negative mental, emotional and physical impacts on a person's life …
cause many serious and negative mental, emotional and physical impacts on a person's life …
Banknote verification using image processing techniques
B Nazir, M Imran, B Jehangir - Journal of Computing & Biomedical …, 2024 - jcbi.org
Automatic verification of the graphical data plays an increasingly essential role in the global
financial system. Verification of banknote is a challenging problem for a human being to …
financial system. Verification of banknote is a challenging problem for a human being to …
Anti-social Behavior Detection using Multi-lingual Model
HZ Ali, A Rashid - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
In the current era, social media has emerged as a very useful and reliable means of
communication between different people and communities. However, with the leverage of …
communication between different people and communities. However, with the leverage of …
Sentiment analysis of roman text: challenges, opportunities, and future directions
The rise of social media platforms has sparked significant interest among Natural Language
Processing (NLP) researchers in Sentiment Analysis over the past few decades. Numerous …
Processing (NLP) researchers in Sentiment Analysis over the past few decades. Numerous …
Brain Tumor Detection Based on Deep Learning Approach
A Shabbir, K Nazir - Journal of Computing & Biomedical Informatics, 2023 - jcbi.org
Abstract Detection of Brain Tumors is a challenging task in the medical field, as to evaluate
the MRI images, experts in the field need to take time to pinpoint the issue of having a tumor …
the MRI images, experts in the field need to take time to pinpoint the issue of having a tumor …
A Temporal Scope Prediction for Storyline Generation Using Events' Knowledge Graphs
Abstract Knowledge graphs (KGs) have become powerful tools for organizing and making
sense of complex datasets, especially when time information is included. However, ensuring …
sense of complex datasets, especially when time information is included. However, ensuring …
Analysis of Deep Learning Algorithms for Detection and Classification of Tomato Leaf Diseases
MM Siddique, MJ Nazar, K Farooq - Journal of Computing & Biomedical …, 2023 - jcbi.org
The utilization of deep learning models has gained significant popularity for identifying and
categorizing Tomato Leaf Disease, owing to the intricacy of the task and the proficiency …
categorizing Tomato Leaf Disease, owing to the intricacy of the task and the proficiency …