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Aviatar- An Augmented Reality System to Improve Pilot Performance for Unmanned Aerial Systems
Title
Aviatar- An Augmented Reality System to Improve Pilot Performance for Unmanned Aerial Systems
Author
Abbott, Robert
Date Created
2021
Subjects--Topical
Computer science, Aerospace engineering, Cognitive psychology
Description
In the modern airspace, small unmanned aircraft systems (UAS) such as drones are becoming increasingly popular with both amateur enthusiasts as well as professional pilots. In the three years following the initiation of the small drone registratio...
Better modeling of matching possibilities and uncertainty for offline visual multiple object tracking
Title
Better modeling of matching possibilities and uncertainty for offline visual multiple object tracking
Author
Rice, Lance
Date Created
2021
Subjects--Topical
Computer science
Description
The task of visually tracking multiple objects remains an active field of algorithm development even after several decades of research in the computer vision community. One reason it remains an active research area is that identifying and maintain...
Detecting Discrete Emotions in Text Using Neural Networks
Title
Detecting Discrete Emotions in Text Using Neural Networks
Author
Seyeditabari, Seyed Armin
Date Created
2020
Subjects--Topical
Computer science, Artificial intelligence
Description
In recent years, emotion detection in text has become increasingly popular because of its many potential applications in a range of areas, such as marketing, political science, psychology, human-computer interaction, artificial intelligence. Acces...
EXPERIMENTS IN TEXT SUMMARIZATION USING DEEP LEARNING
Title
EXPERIMENTS IN TEXT SUMMARIZATION USING DEEP LEARNING
Author
Bulusu, Sai Amrit
Date Created
2018
Subjects--Topical
Computer science, Artificial intelligence, Information science
Description
Deep Learning has been the go-to tool for text summarization in the recent times.Traditional deep learning research focuses on performing abstractive text summarizationwithout considering the user’s interests to personalize the summaries.This prob...
Examining Untempered Social Media: Information Mutation on GAB.ai
Title
Examining Untempered Social Media: Information Mutation on GAB.ai
Author
Muppalla, Sai Eshwar Prasad
Date Created
2018
Subjects--Topical
Computer science
Description
Online social media often mirrors the social phenomenon of "Chinese Whispers" where information mutates during dissemination.Many a time, Twitter and Facebook in conjunction with smaller "fringe" communities like Gab.ai, often echo perspectives to...
Generative Machine Learning Models for Airflow Prediction of Architectural Spaces
Title
Generative Machine Learning Models for Airflow Prediction of Architectural Spaces
Author
Claudio Rodriguez, Fernando
Date Created
2021
Subjects--Topical
Computer science, Information technology, Architecture
Description
Computer Fluid Dynamics (CFD) airflow simulations are not used as often in architectural settings primarily due to time constraints. The proper use of CFD airflow simulations involves a complex setup and run-time process that requires a large amou...
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Title
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author
Seyeditabari, Narjessadat
Date Created
2018
Subjects--Topical
Computer science, Artificial intelligence
Description
An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...
Sequence Prediction Applied to BIM Log Data, An Approach to Develop a Command Recommender System for BIM Software Application
Title
Sequence Prediction Applied to BIM Log Data, An Approach to Develop a Command Recommender System for BIM Software Application
Author
Radnia, Ashkan
Date Created
2021
Subjects--Topical
Computer science, Information technology, Architecture
Description
Building Information Modeling has become an industry standard for designing, documenting, and collaborating within the architecture, engineering, and construction industry. Architects spend most of their time developing projects from the feasibili...
Spatially Explicit Hyperparameter Optimization for Neural Networks
Title
Spatially Explicit Hyperparameter Optimization for Neural Networks
Author
Zheng, Minrui
Date Created
2020
Subjects--Topical
Geodesy
Description
Neural networks as a commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in GIScience domain to explore the nonlinear geographic phenomena. Howev...
Towards Adapting Cognitive Architectures for Knowledgeable & Personalized Dialogue Systems
Title
Towards Adapting Cognitive Architectures for Knowledgeable & Personalized Dialogue Systems
Author
Santhanam, Sashank
Date Created
2021
Subjects--Topical
Computer science
Description
State-of-the-art conversational agents have advanced significantly in conjunction with the use of large transformer-based language models. However, even with these rapid advancements, the current generation of conversational agents suffers from th...
Towards ai-empowered wireless networks: from edge to core
Title
Towards ai-empowered wireless networks: from edge to core
Author
janakaraj, prabhu
Date Created
2021
Subjects--Topical
Computer science
Description
Wireless multi-hop networks have been widely exploited for deploying cost-efficient network backbones including wireless community mesh networks, high-speed urban networks, global wireless internet infrastructure, battlefield networks, and public ...