Search results | J. Murrey Atkins Library

Title: A Contactless Non-Intrusive Approach for Machine Learning-Based Personalized Thermal Comfort Prediction
Author: Ashrafi, Roshanak
Date Created: 2022
Subjects--Topical: Civil engineering, Sustainability, Building
Description: Indoor thermal environmental conditions play a significant role in protecting occupants’ well-being. In this regard, schedule-based and predefined environmental control is one of the main reasons for the current discomfort and dissatisfaction with...

Title: A SCALABLE LSTM BASED APPROACH FOR MULTI-PEDESTRIAN TRACKING IN SURVEILLANCE CAMERAS
Author: Kulkarni, Pratik
Date Created: 2019
Description: There has been an ever growing interest in leveraging state of the art deep learning techniques for tracking objects in video frames. Such works primarily focus on using appearance based models which prove not to be effective in modelling the beha...

Title: A SCALABLE LSTM BASED APPROACH FOR MULTI-PEDESTRIAN TRACKING IN SURVEILLANCE CAMERAS
Author: Kulkarni, Pratik
Date Created: 2019
Subjects--Topical: Computer engineering
Description: There has been an ever growing interest in leveraging state of the art deep learning techniques for tracking objects in video frames. Such works primarily focus on using appearance based models which prove not to be effective in modelling the beha...

Title: A Scalable deep learning framework for autonomous road asset classification
Author: Nouri Gooshki, Sadegh
Date Created: 2019
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: 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: Advancing Highway Safety: Embedded-Edge AI for Real-Time Applications
Author: Katariya, Vinit Amrutlal
Date Created: 2023
Subjects--Topical: Electrical engineering, Computer engineering, Transportation
Description: This dissertation presents the systematic design and development of datasets, algorithms, and an AI pipeline specifically curated for real-time trajectory prediction and anomaly detection in highway environments. These innovations are meticulously...

Title: Algorithmic Optimization of First Convolution Layer in CNNs for Hardware Accelerator Design
Author: Chamarthi, Ramachandra Vikas
Date Created: 2019
Description: This thesis proposes "1D Convolution replacement layer ", a novel optimization for first convolution layer in CNN. This optimization enables edge friendly streaming accelerator design with a minimum drop in accuracy. This optimization reduces the ...

Title: Algorithmic Optimization of First Convolution Layer in CNNs for Hardware Accelerator Design
Author: Chamarthi, Ramachandra Vikas
Date Created: 2019
Subjects--Topical: Electrical engineering, Computer engineering
Description: This thesis proposes "1D Convolution replacement layer ", a novel optimization for first convolution layer in CNN. This optimization enables edge friendly streaming accelerator design with a minimum drop in accuracy. This optimization reduces the ...

Title: An Integrative Algorithm/Architecture Co-Design Of Deep Spatial and Temporal Separable Convolutional Neural Networks
Author: Baharani, Mohammadreza
Date Created: 2021
Subjects--Topical: Computer engineering
Description: In this dissertation, I present my researches on the co-design of algorithms and architectures for deep spatial and temporal separable convolutional neural networks and their applications. As a first step, I will present Deep RACE as an applicatio...

Title: ENABLING ACCELERATOR-SOC CO-DESIGN USING RISC-V CHIPYARD
Author: Muchandi, Shruthi
Date Created: 2020
Description: The rise in transistor cost in conjunction with the slowdown of Moore’s law has increased the demand for scalable SoC (System-on-Chip) based frameworks. The opportunity provided by reconfigurable and extensible full-system frameworks opens up a wi...

Title: ENABLING ACCELERATOR-SOC CO-DESIGN USING RISC-V CHIPYARD
Author: Muchandi, Shruthi
Date Created: 2020
Subjects--Topical: Electrical engineering, Computer engineering
Description: The rise in transistor cost in conjunction with the slowdown of Moore’s law has increased the demand for scalable SoC (System-on-Chip) based frameworks. The opportunity provided by reconfigurable and extensible full-system frameworks opens up a wi...

Title: Empowering FPGAs For Massively Parallel Applications
Author: SHIDDIBHAVI, SUHAS ASHOK
Date Created: 2018
Description: The availability of OpenCL High-Level Synthesis (OpenCL-HLS) has made FPGAs an attractive platform for power-efficient high-performance execution of massively parallel applications. FPGAs with their customizable data-path, deep pipelining abilitie...

Title: Empowering FPGAs For Massively Parallel Applications
Author: SHIDDIBHAVI, SUHAS ASHOK
Date Created: 2018
Subjects--Topical: Electrical engineering, Engineering, Computer engineering
Description: The availability of OpenCL High-Level Synthesis (OpenCL-HLS) has made FPGAs an attractive platform for power-efficient high-performance execution of massively parallel applications. FPGAs with their customizable data-path, deep pipelining abilitie...

Title: Empowering Reconfigurable Platforms for Massively Parallel Applications
Author: Purkayastha, Arnab A
Date Created: 2021
Description: The availability of OpenCL for FPGAs along with High-Level Synthesis tools have made them an attractive platform for implementing compute-intensive massively parallel applications. FPGAs with their customizable data-path, deep pipelining abilities...

Title: Empowering Reconfigurable Platforms for Massively Parallel Applications
Author: Purkayastha, Arnab A
Date Created: 2021
Subjects--Topical: Electrical engineering, Computer science, Computer engineering
Description: The availability of OpenCL for FPGAs along with High-Level Synthesis tools have made them an attractive platform for implementing compute-intensive massively parallel applications. FPGAs with their customizable data-path, deep pipelining abilities...

Title: Enabling Architecture Research on GPU Simulator for Deep Learning Applications
Author: Nikam, Abhishek
Date Created: 2018
Description: Deep learning uses stacks of multiple processing layers to learn representations of data with different levels of abstraction. It enables machines to have the understanding of outer environment just like the human body, opening a path for diverse ...

Title: Enabling Architecture Research on GPU Simulator for Deep Learning Applications
Author: Nikam, Abhishek
Date Created: 2018
Subjects--Topical: Computer engineering
Description: Deep learning uses stacks of multiple processing layers to learn representations of data with different levels of abstraction. It enables machines to have the understanding of outer environment just like the human body, opening a path for diverse ...

Title: Enabling Kubernetes for distributed AI processing on edge devices
Author: Raheja, Ronak Vijay
Date Created: 2020
Description: AI processing has been a big area of focus for the research community for quite some years. The growing computation capability of edge devices has allowed Computer Vision to make use of AI techniques with greater efficiency and throughput. This ap...

Title: Enabling Kubernetes for distributed AI processing on edge devices
Author: Raheja, Ronak Vijay
Date Created: 2020
Subjects--Topical: Computer science, Computer engineering
Description: AI processing has been a big area of focus for the research community for quite some years. The growing computation capability of edge devices has allowed Computer Vision to make use of AI techniques with greater efficiency and throughput. This ap...

Title: Exploring the scalability of OpenCL for massively parallel applications on Xilinx cloud platform
Author: Thiagarajan, Jhanani
Date Created: 2020
Description: Field Programmable Gate Array (FPGA) is becoming a preferred platform for the high-performance computing community because of the flexibility to adapt to new computing challenges. FPGAs also provide a greater power-efficient alternative for GPUs w...