Devansh Shah
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View article: Investigating Challenges in Opinion Mining Using Logistic Regression, Knn and Decision Tree
Investigating Challenges in Opinion Mining Using Logistic Regression, Knn and Decision Tree Open
View article: A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement Open
In this study, we present an approach to train a single speech enhancement network that can perform both personalized and non-personalized speech enhancement. This is achieved by incorporating a frame-wise conditioning input that specifies…
View article: Attacking Compressed Vision Transformers
Attacking Compressed Vision Transformers Open
Vision Transformers are increasingly embedded in industrial systems due to their superior performance, but their memory and power requirements make deploying them to edge devices a challenging task. Hence, model compression techniques are …
View article: Proposed DBMS for OTT Platforms in Line With New Age Requirements
Proposed DBMS for OTT Platforms in Line With New Age Requirements Open
Database management has become an enormous tool for on-demand content distribution services, proffering required information and providing custom services to the user. Also plays a major role for the platforms to manage their data in such …
View article: EMERGING TECHNOLOGIES AND APPLICATIONS FOR SMART CITIES
EMERGING TECHNOLOGIES AND APPLICATIONS FOR SMART CITIES Open
The large deployment of the Internet of Things (IoT) is empowering Smart City tasks and activities everywhere throughout the world. Items utilized in day-by-day life are outfitted with IoT devices and sensors to make them interconnected an…
View article: Adversarial training in communication constrained federated learning
Adversarial training in communication constrained federated learning Open
Federated learning enables model training over a distributed corpus of agent data. However, the trained model is vulnerable to adversarial examples, designed to elicit misclassification. We study the feasibility of using adversarial traini…
View article: Airline Delay Prediction using Machine Learning and Deep Learning Techniques
Airline Delay Prediction using Machine Learning and Deep Learning Techniques Open
In this paper, we have tried to predict flight delays using different machine learning and deep learning techniques. By using such a model it can be easier to predict whether the flight will be delayed or not. Factors like ‘WeatherDelay’, …