Soundar Kumara
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Assessing climate change impacts for small-scale fisheries in the Gulf of California using Deep Learning Open
Small-scale, multispecific fisheries in the Gulf of California face significant challenges including limited species-specific catch data, uncertainty about climate change impacts, and insufficient biological information needed for traditio…
Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting Open
Our findings highlight the potential of XGBoost using dynamic features of varying activity levels across the time series to provide insights on wear/nonwear classification using a large dataset. The methodology provides an alternative to l…
View article: SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms
SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms Open
The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulnerability within the cerebral blood supply and can lead to s…
Exploiting the Digital Economy for Product Realization in Manufacturing Open
In this paper, we briefly discuss the evolving concepts of the digital economy, digital threads, and product realization (manufacturing) in the digital economy-enabled futuristic world. We posit that if we need to become self-sufficient, i…
View article: Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing
Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing Open
Manufacturing energy consumption data contains important process signatures required for operational visibility and diagnostics. These signatures may be of different temporal scales, ranging from monthly to sub-second resolutions. We intro…
Machine learning-assisted collection of reduced sensor data for improved analytics pipeline Open
Sensor data is increasingly offering better operational visibility. However, the data deluge is also posing cost and complexity challenges on the data analytics pipeline, which comprises of edge computing, power, transmission, and storage …
Developing Deep Learning Pipeline of Whole-Slide Images for Enhanced Diffuse Large B Cell Lymphoma (DLBCL) Subtyping and Outcome Prediction: Leveraging Self-Attention Transformer for Training and Inference Open
Background: Deep learning algorithms can help to analyze whole-slide images (WSI) in lymphoma pathology, identifying deeper features and patterns that may not be easily discernible to human observers. This pilot project is focused on diffu…
SECURING WIRELESS COMMUNICATION USING NOVEL TRANSFER LEARNING FOR ENCRYPTION IN WIRELESS NETWORKS Open
Wireless communication is vulnerable to various security threats, including eavesdropping and data interception. To bolster the security of wireless networks, this research explores the application of novel transfer learning techniques for…
Cold sintering-enabled interface engineering of composites for solid-state batteries Open
The cold sintering process (CSP) is a low-temperature consolidation method used to fabricate materials and their composites by applying transient solvents and external pressure. In this mechano-chemical process, the local dissolution, solv…
View article: A Decision Support System for Including Equity in the Siting of Emergency Services
A Decision Support System for Including Equity in the Siting of Emergency Services Open
Background We propose a method to identify inequity in access to emergency services and present a model to address inequity by siting additional facilities, recommending both quantity and location to decision makers. Methods We classify em…
Ensuring Quality in Metal Additive Manufacturing Through a V-Model Framework Open
Metal Additive Manufacturing (MAM) produces complex, part geometries from a variety of materials in powder and wire form. Due to complexities of MAM processes that create those geometries, especially powder bed fusion, quality assurance, a…
Regulating the size and assembled structure of graphene building blocks for high-performance silicon nanocomposite anodes Open
By regulating the size of graphene building blocks and their assembled 3D hierarchical structures, we can improve the charge transport kinetics and mechanical stability of silicon composite electrodes for long cycling battery performance.
Process Monitoring: Distinguishing Defect Shapes by Strain Field Signatures Open
In this research, a theoretic physics-based framework for identification of defects via analysis of strain fields is presented. This framework comprises identification of self-similarity of strain fields followed by their dimensionality re…
Machine learning based suicide prediction and development of suicide vulnerability index for US counties Open
Suicide is a growing public health concern in the United States. A detailed understanding and prediction of suicide patterns can significantly boost targeted suicide control and prevention efforts. In this article we look at the suicide tr…
View article: A Generalized Model for Including Equity in the Siting of Emergency Services
A Generalized Model for Including Equity in the Siting of Emergency Services Open
We propose a method to identify inequity in access to emergency services using logistic regression and present a model to address inequity by siting additional facilities, recommending both quantity and location. We classify emergencies by…
Online Improvement of Condition-Based Maintenance Policy via Monte Carlo Tree Search Open
This article proposes a method of scheduling maintenance in complex manufacturing systems in scenarios where there is frequent competition for maintenance resources. We use a condition-based maintenance policy that prescribes maintenance a…
Six-Sigma Quality Management of Additive Manufacturing Open
Quality is a key determinant in deploying new processes, products, or services and influences the adoption of emerging manufacturing technologies. The advent of additive manufacturing (AM) as a manufacturing process has the potential to re…
An Inter University Collaborative Undergraduate Research Learning Experience For Product Platform Planning Open
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session XXXX An Inter-University Collaborative Undergraduate Research/Learning Experience for Product Platform Planning Timothy W. Simp…
An Inter University Collaborative Undergraduate Research/Learning Experience For Product Platform Planning: Year 2 Open
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Experiences with an Inter-University Collaborative Undergraduate Research/Learning Experience for Product Platform Planning Abstract In…
View article: Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach
Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach Open
Background The rapid spread of COVID-19 means that government and health services providers have little time to plan and design effective response policies. It is therefore important to quickly provide accurate predictions of how vulnerabl…
AIDCOV: An Interpretable Artificial Intelligence Model for Detection of COVID-19 from Chest Radiography Images Open
As the Coronavirus Disease 2019 (COVID-19) pandemic continues to grow globally, testing to detect COVID-19 and isolating individuals who test positive remains to be the primary strategy for preventing community spread of the disease. The c…
Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study Open
Background Online pharmacies have grown significantly in recent years, from US $29.35 billion in 2014 to an expected US $128 billion in 2023 worldwide. Although legitimate online pharmacies (LOPs) provide a channel of convenience and poten…
Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach (Preprint) Open
BACKGROUND The rapid spread of COVID-19 means that government and health services providers have little time to plan and design effective response policies. It is therefore important to quickly provide accurate predictions of how vulnerab…
Early Stage Prediction of US County Vulnerability to the COVID-19 Pandemic Open
Importance The rapid spread of COVID-19 means that government and health services providers have little time to plan and design effective response policies. It is therefore important to rapidly provide accurate predictions of how vulnerabl…