Artificial intelligence and robotics: The enhanced paediatric dentist
Automation would be an inevitable course of manual work facing every field in the future in view of technological advancements. The mental and physical strain incumbent on the paediatric dentist due to long hours of managing the child and the unwavering focus that the trade demands may compromise the quality of service. A system capable of physical manipulation that is powered by an intelligent program would be the ideal assistant to the dentist for carrying out technique sensitive procedures. Data management, diagnosis, treatment planning and student education can transcend to a new plane of execution with Artificial Intelligence and Robot enhanced Paediatric Dentist at the epicentre. Among the many hurdles faced by the idea of turning robotics in dentistry into a tangible reality is the extreme cost and bureaucratic resistance.
Published by: Chandra Kanth B., Chandradeep, Swapna Manepalli
Author: Chandra Kanth B.
Paper ID: V6I6-1150
Paper Status: published
Published: November 27, 2020
Smart image enhancement technique by removal of undesirable objects/background from the image
The devil is always in your picture. You always miss the best shot and that particular tiny object in your photo can worsen the entire composition and result in something opposite from what you hoped for. The proposed AI based image enhancement model will first detect unwanted objects/background based on the training of large set of already edited images by users then intelligently reconstructs the image without those objects. We have prepared a dataset with distracting elements in the images and used it to train our predictor model which predicts the distracting regions and thereafter used image-inpainting to remove those areas which results in a standalone system for distractor removal with no user input. In the proposed method of this paper, the image is first segmented using Convolutional networks for semantic segmentations and then each segment is classified in terms of the score of distractors on the basis of various features which almost covers all types of distractors in an image. Our main focus was to collect the data which contains all kinds of distractors and then deciding the features which classify an object as a distractor in an image. Detection and removal of distracting regions helps to enhance the beauty and visual quality of the image which can be fulfilled by using our model.
Published by: Pankaj Tanwar, Karishma Kumari, Saqib Kamal
Author: Pankaj Tanwar
Paper ID: V6I6-1161
Paper Status: published
Published: November 27, 2020
Speech Recognition for Crime Analysis
Human-Computer Interaction (HCI) is a multidisciplinary field of study focusing on the design of computer technology and, in particular, the interaction between humans (the users) and computers. While initially concerned with computers, HCI has since expanded to cover almost all forms of information technology design. We aim to take this further in the field of crime analysis by developing a system for speech recognition. This will be a huge contribution to the crime department where speech recognition will not only help them to handle large amount of data but also in checking the criminal records faster. This is a modern and advanced technique where with the help of voice recognition test file will be compared with database files.
Published by: Mehak Sharma
Author: Mehak Sharma
Paper ID: V6I6-1153
Paper Status: published
Published: November 16, 2020
And the airline is… (Airline Satisfaction Review)
Like how ratings are crucial in a hotel booking process, they are equally important in the airline industry. The primary reason for such ratings is the expectation of service for the amount paid (since being the most expensive way of transport). A rating can boost a newbie up or pull a giant down. Again, it is all due to the service. Identifying the reasons and where to correct them is an example of a business model. The key objectives of this problem would be (a)To identify if changes are necessary to implement based on customer feedback. (b)To measure the modifications and minimize overall dissatisfaction. (c)Develop corresponding visualizations. And (d)To identify the satisfaction of a customer based on their feedback by fitting the appropriate model. In real-time, this study can be used for reviewing the performance of the airline’s front-end operations. With machine learning techniques, the user can find the best fit model. Furthermore, the financial data, it can also be used to alter the existing model to bring better expenditure versus profit per seat. The final model should also be able to predict satisfaction based on ratings and analyse the ways to minimize dissatisfaction.
Published by: Niveditha N., Nandhini S.
Author: Niveditha N.
Paper ID: V6I6-1142
Paper Status: published
Published: November 16, 2020
“Artificial Intelligence”- A futuristic vision
Technology is shaping itself in and out to satisfy the needs and wants of people and eventually win the global markets.Most of the countries and its companies are competently emerging withnewer scientific concepts to bring in the high degrees of constructive and smart technology one of which is the "Artificial Intelligence "This leads to newer evolution of interfaces ,thereby also contribute to the better handling of information and conversion of information into knowledge.
Published by: Abirami Shanmugam
Author: Abirami Shanmugam
Paper ID: V6I6-1163
Paper Status: published
Published: November 12, 2020
Analysis of the Venezuelan crisis
Hundreds Detained, Torture, Sexual Violence, Military Jurisdiction are the words that come to mind when one thinks of the Venezuelan Crisis. However, these are more than just words; these are strategies employed to legitimize actions undertaken by the Venezuelan Government and prosecute citizens and suppress protests. The foundation of the rising public protests was laid by rising inflation and shortages of medical and food supplies due to lack of government provision.
Published by: Anurag Mundara
Author: Anurag Mundara
Paper ID: V6I6-1160
Paper Status: published
Published: November 12, 2020
