Search results | J. Murrey Atkins Library

Title: 'Practice' for Enhancing the Performance of a Deep Reinforcement Learning Agent
Author: Kancharla, Venkata Sai Santosh Ravi Teja
Date Created: 2019
Subjects--Topical: Artificial intelligence
Description: Deep reinforcement learning has demonstrated its capability to solve a diverse array of challenging problems, which were not able to solve previously. It has been able to achieve human-level performance in Atari 2600 games and it has shown great p...

Title: A Scalable deep learning framework for autonomous road asset classification
Author: Nouri Gooshki, Sadegh
Date Created: 2019
Subjects--Topical: Artificial intelligence
Description: The focus of this thesis is on automation in road asset inspection using deep neural networks. Even though some progress has been made in automation of data collection and condition assessment, the amount of manual operation and the cost of road i...

Title: Analytics for Fault Detection and Energy Management in Large Retail Portfolios
Author: Raju, Suhas
Date Created: 2020
Subjects--Topical: Power resources, Mathematics, Artificial intelligence
Description: Energy managers responsible for large real-estate portfolios typically review Energy Star scores and Energy Use Intensity (EUI) to determine which facilities to target for retrofit or audit. In the case of a large portfolio of small retail facilit...

Title: Deep Natural Language Generation Using BERT for Summarization
Author: Choudhury, Sourav
Date Created: 2020
Subjects--Topical: Computer science, Artificial intelligence
Description: Summarization is one of the core facets of Natural Language Processing. Text summarization is the task of producing a concise and fluent summary while holding the most essential or salient part of the content and preserving the original meaning. T...

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...

Title: Efficient and Scalable Highway Asset Detection
Author: Bhojwani, Ekta
Date Created: 2021
Subjects--Topical: Computer science, Computer engineering, Artificial intelligence
Description: The roads and highways are a valuable asset for the state department of transportation. It takes massive investment and a huge amount of time to maintain the road assets condition. Therefore, it becomes important to automate the maintenance proces...

Title: EfficientHRNet: Efficient and Scalable Networks for Pose Estimation and Segmentation
Author: Sheth, Aneri
Date Created: 2020
Subjects--Topical: Computer engineering, Artificial intelligence
Description: Recent years have brought great advancement in 2D human pose estimation. However,bottom-up approaches that do not rely on external detectors to generate personcrops, tend to have large model sizes and intense computational requirements, makingthem...

Title: Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models
Author: Nannaware, Smita
Date Created: 2023
Subjects--Topical: Artificial intelligence, Computer science
Description: A restaurant dinner can become a memorable experience due to an unexpected aspect that is appreciated by the customer, such as an origami-making station in the waiting area. If aspects that are atypical for a restaurant experience were known in ad...

Title: INTEGRATED ALGORITHM/ARCHITECTURE DEEP LEARNINGSOLUTION FOR POWER ELECTRONICS RELIABILITY
Author: Furgurson, Steven
Date Created: 2020
Subjects--Topical: Electrical engineering, Artificial intelligence
Description: A highly accurate modeling of power electronic devices is of considerable significanceto the health management and maintenance of power converter equipment. Thereliability-based predictions that are based on theoretical approaches are inefficientd...

Title: MACHINE LEARNING MODELS FOR DIRECTED CURATION OF DESIGN SOLUTION SPACE
Author: Sjoberg, Christian
Date Created: 2017
Subjects--Topical: Artificial intelligence, Architecture, Design
Description: The expanding role of computational models in the process of design is producing exponentially growing parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces considering not only quantitative ...

Title: Multi-Task Generalization using Practice for Distributed Deep Reinforcement Learning
Author: Pattnaik, Upasana
Date Created: 2021
Subjects--Topical: Computer science, Artificial intelligence
Description: Feedback driven deep reinforcement learning methodologies are widely favoured approaches to solving artificial intelligence problems. The algorithms navigate complex decision-making tasks without manual state space engineering. Notable problems co...

Title: Physics Informed Machine Learning Models for PDEs with Applications to Laser Bioeffects
Author: Seman, Matthew
Date Created: 2023
Subjects--Topical: Artificial intelligence, Physics
Description: Recently, advances in the efficiency of gradient calculation algorithms have sparked anexpansion of neural network applications, particularly in the field of approximating partial differential equation (PDE) solutions. Among the most novel and eff...

Title: Predicting Startup Success in U.S
Author: Lopes Veloso, Felipe Augusto
Date Created: 2020
Subjects--Topical: Economics, Artificial intelligence, Entrepreneurship
Description: This thesis consists of the creation of a reliable model to predict the success of Startups located in U.S. Previous researches have been focused either on the accuracy of different algorithms, without investigating the real effect of the risk and...

Title: Real-Time Vision Methods for Deployable Pedestrian Detection, Re-Identification and Path Prediction Systems
Author: Mendieta, Matias
Date Created: 2020
Subjects--Topical: Computer science, Computer engineering, Artificial intelligence
Description: This article presents two methods, REVAMPT and CARPe Posterum. REVAMPT, or Real-time Edge Video Analytics for Multi-person Privacy-aware Tracking, is an integrated system for privacy-built-in pedestrian re-identification. REVAMPT presents novel al...

Title: Real-time Vehicle Detection and Tracking for Work Zone Safety
Author: Parks, Colin
Date Created: 2022
Subjects--Topical: Computer engineering, Artificial intelligence
Description: Computer vision and deep learning are rapidly evolving fields being implemented for a variety of different applications, including object detection and tracking for autonomous vehicles. While today's technology is not at the level of full automati...

Title: Redefining Interactive Space Through Physical Computing and Machine Learning
Author: aboutorabi, seyedehsan
Date Created: 2020
Subjects--Topical: Artificial intelligence, Building
Description: Making of physical systems that integrate software and hardware to sense their surroundings and respond to have gone through a lot of transformations with development in Artificial intelligence. These systems can blend digital and physical process...

Title: Robust Audio Classification: Integrating TV Sound Detection
Author: Bourahla, Mohamed Mehdi
Date Created: 2023
Subjects--Topical: Artificial intelligence, Sound
Description: The emergence of voice-controlled systems has transformed the way users engage with technology, providing unparalleled ease and accessibility. Nonetheless, these systems encounter difficulties in distinguishing intended commands from unintentional...

Title: Robust Interpolation and Iterative Learning Strategies for Modulated Tool Path Planning
Author: DiMarco, Christopher
Date Created: 2016
Subjects--Topical: Mechanical engineering, Artificial intelligence
Description: During single-point metal turning processes, a long, razor-sharp chip nest is often formed that can be a hazard to both operators and the part being machined. To combat this, a process called Modulated Tool Path (MTP) machining was developed by Ba...

Title: Towards Prediction of Emerging Technologies
Author: Thombare, Shalaka
Date Created: 2018
Subjects--Topical: Artificial intelligence
Description: Predictive Analytics is an advanced branch of data analytics that deals with making future predictions that matter to the industry\cite{6}.It has wide applications in the areas of health care, fraud detection, market analysis, cross-sell. Predicti...