Browsing by Subject "Deep Learning"
Now showing items 1-14 of 14
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Automated Generation of Sinhala Lyrics using Recurrent Neural Networks
(2020)Abstract: This paper discusses the approaches involved in implementing automated song lyrics system in the Sinhala language. Which includes an overview of the complexity of writing song lyrics and develop an automated ... -
Convolutional Neural Network-Based Facial Expression Recognition: Enhanced by Data Augmentation and Transfer Learning
(2024-01)Facial expression recognition has emerged as a dynamic field within computer vision and human-computer interaction, finding diverse applications such as animation, social robots, personalized banking, and more. Current ... -
Effective Usage of Activation Functions for Data Classification with TensorFlow in Deep Neural Networks
(2019)Artificial neural networks can be known as a computer system modeled on the human brain and neural system. In data classification, neural network provides fast and efficient results. Neural Network models are trained ... -
Fatigue Detection of Air Traffic Controllers
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Real-Time Vehicle Type Recognition Using Deep Learning Techniques
(2022)Modern intelligent transportation systems heavily rely on vehicle type classification technology. Deep learning-based vehicle type classification technology has sparked growing concern as Image Processing, Pattern recognition, ... -
Reducing Frequent Killing of Elephants in Train Collisions Using Machine Learning
(2019)Elephant-human conflicts are a significant issue causing death and injury to elephants and humans. Elephants raiding human plants, unexpected humanelephant encounters as elephants cross their paths, elephants crossing ... -
A Review on Vision-Based Obstacle Avoidance and Assistant Systems for Visually Impaired People
(2022-08)Travelling is one of the biggest problems faced by the visually impaired community in their day today life. Even though the visually impaired people have their own methods for travelling such as with the aid of white canes ... -
Sher-locked: a Hybrid Deep Learning Model Based Mobile Platform for Social Media Fact-checking
(2022-01-10)In the present context, false news can be easily constructed and circulated through various social media platforms. As a result, people on those platforms have difficulty in distinguishing between correct and incorrect ... -
SherLock: A CNN, RNN-LSTM Based Mobile Platform for Fact- Checking on Social Media
(2020)Abstract: Today, false news is easily created and distributed across many social media platforms. Due to that, people find it difficult to choose between right and wrong information on those platforms. Therefore, ... -
Survey on Deep learning based Network Intrusion Detection and Prevention Systems
(2020)Where world is moving towards digitalization, it is crucial that network intrusions detection and prevention is addresses in ordered to create a secured network. This paper covers why deep learning was considered and ...