Browsing by Author "Dwivedi, A."

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A transformer-based architecture for fake news classification
(Springer, 2021) Mehta, D.; Dwivedi, A.; Patra, A.; Anand Kumar, M.
In today’s post-truth world, the proliferation of propaganda and falsified news poses a deadly risk of misinforming the public on a variety of issues, either through traditional media or on social media. Information people acquire through these articles and posts tends to shape their world view and provides reasoning for choices they take in their day to day lives. Thus, fake news can definitely be a malicious force, having massive real-world consequences. In this paper, we focus on classifying fake news using models based on a natural language processing framework, Bidirectional Encoder Representations from Transformers, also known as BERT. We fine-tune BERT for specific domain datasets and also make use of human justification and metadata for added performance in our models. We determine that the deep-contextualizing nature of BERT is effective for this task and obtain significant improvement over binary classification, and minimal yet important improvement in six-label classification in comparison with previously explored models. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.
Smart Cane for Assisting Visually Impaired People
(2019) Nandini, A.V.; Dwivedi, A.; Kumar, N.A.; Ashwin, T.S.; Vishnuvardhan, V.; Ram Mohana Reddy, Guddeti
Blindness disables a person from self-navigating outside well-known environments. It affects their ability to perform several jobs, duties, and activities. They are dependent on external assistance which can be provided by humans, dogs or special electronic devices for better decision making. This motivated us to create a prototype called 'Smart cane for assisting visually impaired people' to overcome the problems they face in their daily life. Our device is a low cost and lightweight system that processes signals and alerts the visually impaired over any obstacle, potholes or water puddles through different beeping patterns. It senses the light intensity of the environment and illuminates the LED accordingly. These are accomplished by incorporating two ultrasonic sensors, a moisture sensor and a LDR sensor along with an Arduino Nano micro-controller. These are placed at specific positions of the cane for efficient guidance. Moreover, a GSM module is also added to the system so that the visually impaired person can send a message to the emergency contact number in case of distress. The developed model showed 89 percent accuracy and 80 percent of the users were satisfied with the developed prototype. � 2019 IEEE.
Smart Cane for Assisting Visually Impaired People
(Institute of Electrical and Electronics Engineers Inc., 2019) Nandini, A.V.; Dwivedi, A.; Kumar, N.A.; Ashwin, T.S.; Vishnuvardhan, V.; Guddeti, R.M.R.
Blindness disables a person from self-navigating outside well-known environments. It affects their ability to perform several jobs, duties, and activities. They are dependent on external assistance which can be provided by humans, dogs or special electronic devices for better decision making. This motivated us to create a prototype called 'Smart cane for assisting visually impaired people' to overcome the problems they face in their daily life. Our device is a low cost and lightweight system that processes signals and alerts the visually impaired over any obstacle, potholes or water puddles through different beeping patterns. It senses the light intensity of the environment and illuminates the LED accordingly. These are accomplished by incorporating two ultrasonic sensors, a moisture sensor and a LDR sensor along with an Arduino Nano micro-controller. These are placed at specific positions of the cane for efficient guidance. Moreover, a GSM module is also added to the system so that the visually impaired person can send a message to the emergency contact number in case of distress. The developed model showed 89 percent accuracy and 80 percent of the users were satisfied with the developed prototype. Â© 2019 IEEE.