1. SMART TRAFFIC CONTROL SYSTEM USING YOLO-MODEL
Background of the study
Traffic congestion is a major problem in many cities, and the fixed-cycle light signal controllers are not resolving the high waiting time in the intersection. We see often a policeman managing the movements instead of the traffi...
2. DEVELOPMENT OF A DEEP LEARNING BASED VEHICLE LICENSE PLATE DETECTION SCHEME
ABSTRACT
This research developed a license plate and classification scheme using deep learning architecture which utilized transfer learning using pre-trained Convolutional Neural Network (CNN). The developed scheme used images obtained from Caltech dataset, Peking University VehicleID...
3. Improving Deep Representations by Incorporating Domain Knowledge and Modularization for Synthetic Aperture Radar and Physiological Data
Abstract
Machine Learning (ML) using Artificial Neural Networks (ANNs), referred to as Deep Learning (DL), is a very popular and powerful method of statistical inference. A primary advantage of deep-learning has been the automatic learning of informative features (that encodes the data...
4. NOVEL NATURAL LANGUAGE PROCESSING MODELS FOR MEDICAL TERMS AND SYMPTOMS DETECTION IN TWITTER
ABSTRACT
This dissertation focuses on disambiguation of language use on Twitter about drug use, consumption types of drugs, drug legalization, ontology-enhanced approaches, and prediction analysis of data-driven by developing novel NLP models. Three technical aims comprise this wo...
5. Predicting High Stress Regions in a Microstructure using Convolutional Neural Networks
Abstract
Origins of failure are often driven by localizations in material response due to the applied stress/strain state. These stress “hot spots” intuitively represent regions that accumulate higher damage than their surroundings, serving as prime locations for crack nucle...
