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Barn Owls (Tyto Alba) And Biodiversity Near Hemp Farms And Grasslands In Oregon, Usa, Lacey Brianne Thun Jan 2023

Barn Owls (Tyto Alba) And Biodiversity Near Hemp Farms And Grasslands In Oregon, Usa, Lacey Brianne Thun

Master's Theses

Extensive agriculture poses a major threat to biodiversity worldwide, although some species, such as the barn owl (Tyto alba), can thrive in many agroecosystems. Barn owls, the world's most widely distributed owl, provide rodent management, and their presence may be both an indicator of and support for ecosystem biodiversity. Little previous research documents the relationship between barn owls and adjacent crop attributes, however. In 2018, hemp (Cannabis sativa) was taken off the federal Controlled Substance Act list and permitted as an agricultural crop. Hemp is now rapidly increasing in extent in Oregon, USA. This research assessed the reproductive success and …

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No Kidding: The Moderating Role Of Childcare Responsibility On The Relationship Between Perceived Work-Life Balance Policy Culture And Job Outcomes, Ziwei Gao Jan 2023

No Kidding: The Moderating Role Of Childcare Responsibility On The Relationship Between Perceived Work-Life Balance Policy Culture And Job Outcomes, Ziwei Gao

Master's Theses

The societal assumption that everyone will or should have children at some point is deeply ingrained in many cultures. This often results in a lack of recognition and understanding of the experiences of childfree individuals, particularly within professional settings. Therefore, the present study aimed to examine the moderating effect of childcare responsibility on the relationship between perceived work-life balance policy culture and job outcomes. A sample of 161 participants completed an online survey measuring perceived work-life balance policy culture, job satisfaction, organizational commitment, and turnover intentions. Results showed that employees with high levels of perceived work-life balance policy culture reported …

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Tree Removal From An Encroached Coastal Grassland Restores Soil Bacterial Communities Before Fungal Communities, Ka Ki Law Jan 2023

Tree Removal From An Encroached Coastal Grassland Restores Soil Bacterial Communities Before Fungal Communities, Ka Ki Law

Master's Theses

Woody species encroachment depletes historic grassland biodiversity and degrades ecosystem function around the world. In particular, the encroaching trees can shift soil properties and microbial communities, which play critical roles in plant health and global nutrient cycling. Little is known about how removing encroached trees affects soil ecosystems, however. Over the last century, Pinus radiata and Hesperocyparis macrocarpa (non-native to the area) both encroached into coastal prairies at Rancho Corral de Tierra in California, and selected trees were removed in 2017 and 2018 to restore grassland habitats. To examine the impacts of encroachment and removal on the soil ecosystem, I …

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Effects Of Hypoxia On Anti-Predator Behavior Of English Sole (Parophrys Vetulus) And Speckled Sanddabs (Citharichthys Stigmaeus), Alexandra Beatrix Stella Jan 2023

Effects Of Hypoxia On Anti-Predator Behavior Of English Sole (Parophrys Vetulus) And Speckled Sanddabs (Citharichthys Stigmaeus), Alexandra Beatrix Stella

Master's Theses

Predator detection and successful escape behaviors are critical to the survival of juvenile fish. However, rising temperatures and increased nutrient pollution result in more frequent hypoxic events (i.e., low dissolved oxygen levels), which may impact fish health and survival. This research examined the effects of hypoxia on two flatfish species commonly found in the Elkhorn Slough, an important nursery habitat in central California. English sole and speckled sanddabs were exposed to five DO treatments ranging from 8.0 mg/L DO (normoxic) to 1.0 mg/L DO (severely hypoxic). A startle response trial was used to examine the impact of increasingly hypoxic conditions …

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Distribution And Habitat Use By Western Burrowing Owls (Athene Cunicularia Hypugaea) In Alameda, Contra Costa And San Joaquin Counties, California, Jacqueline Taylor Jan 2023

Distribution And Habitat Use By Western Burrowing Owls (Athene Cunicularia Hypugaea) In Alameda, Contra Costa And San Joaquin Counties, California, Jacqueline Taylor

Master's Theses

Grasslands are regularly altered for development, agriculture, and animal farming which leads to habitat destruction and fragmentation and, ultimately, a loss of wildlife species. Though degraded, grassland ecosystems – including native and non-native species - dominate the landscape in the region of the San Francisco Bay Area east of the Bay. The western burrowing owl (Athene cuncularia hypugaea) is a native grassland species of California. The breeding burrowing owl population in the San Francisco Bay Area is resident, but burrowing owls from other parts of the range migrate into the region for the winter. The breeding owl populations in the …

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Graph Based System For Evidential Reasoning, Divyarajsinh Chauhan Jan 2023

Graph Based System For Evidential Reasoning, Divyarajsinh Chauhan

Master's Projects

In the modern data driven world, graph editing tools have become very essential as they provide means to understand, visualize and manipulate complex relationships between various datasets. They have especially played a crucial role in the space of evidential reasoning, where it has made a significant impact in the decision making process by developers, analysts and researchers to understand and represent the connection in the data. Existing tools fail to handle huge amounts of data efficiently and also don’t have the features required to handle tasks related to evidential reasoning.To address these gaps, we developed Pygrapher Web UI tool. We …

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Pygrapherconnect, Shubham Jain Jan 2023

Pygrapherconnect, Shubham Jain

Master's Projects

The evolving landscape of backend computational systems especially in biomedical research involving heavy data operations which have a gap of not being used properly. It is due to the lack of communication standard between the frontend and backend. This gap presents a problem to researchers who need to use the frontend for visualizing and manipulating their data but also want to do complex analysis. CAPRI a python-based backend system specializing in analyzing Evidential Reasoning data also has the same issue. This project offers a solution PyGrapherConnect module acting as a data conversion layer between CAPRI and PyGrapher, its frontend interface. …

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Web Traffic Time Series Forecasting, Summanth Redde Mulkkalla Jan 2023

Web Traffic Time Series Forecasting, Summanth Redde Mulkkalla

Master's Projects

Online web traffic forecasting is one of the most crucial elements of maintaining and improving websites and digital platforms. Traffic patterns usually predict future online traffic, including page views, unique visitors, session duration, and bounce rates. However, it is challenging to forecast non-stationary online web traffic, particularly when the data has spikes or irregular patterns. This non-stationary property demands a more advanced forecasting technique. In this study, we provide a neural networkbased method, Spiking Neural Networks (SNNs), for dealing with the data spikes and irregular patterns in non-stationary data. In our study, we compared the forecasting results of SNNs with …

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Mild Cognitive Impairment And Alzheimer’S Disease Detection And Testing Interface (Mci-Addti) Modeller10.4 Integrating Structure-Function Prediction Modules, Grant Galileo Jacobson Jan 2023

Mild Cognitive Impairment And Alzheimer’S Disease Detection And Testing Interface (Mci-Addti) Modeller10.4 Integrating Structure-Function Prediction Modules, Grant Galileo Jacobson

Master's Projects

In the population of adult human patients who over express Beta and Tau Amyloids, it is unclear why 40% of them do not have Alzheimer’s Disease (AD), when all patients with AD have an overexpression of Beta and Tau Amyloids. The MCI-AD-DTI project’s epigenetic pipeline is an evolving computation tool that seeks epigenetic-related information related to the observed disparity. The MCI-AD-DTI’s epigenetic pipeline’s ability to identify mutations currently relies solely on PyPDB for verification of its protein functionality evaluation. The assessment process of the industry standard application, Modeller10.4, is independent from the current epigenetic pipeline’s protein evaluation algorithm. Thus, this …

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Visualizing Classification Errors And Mislabeling In Machine Learning, Vedashree Bhandare Jan 2023

Visualizing Classification Errors And Mislabeling In Machine Learning, Vedashree Bhandare

Master's Projects

Deep neural networks have gained popularity and achieved high performance across multiple domains like medical decision-making, autonomous vehicles, decision support systems, etc. Despite this achievement, the internal workings of these models are opaque and are considered as black boxes due to their nested and non-linear structure. This opaque nature of the deep neural networks makes it difficult to interpret the reason behind their output, thus reducing trust and verifiability of the system where these models are applied. This paper explains a systematic approach to identify the clusters with most misclassifications or false label annotations. For this research, we extracted the …

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Analyzing Improvement Of Mask R-Cnn On Arms Plates (And Sponges And Coral), James Lee Jan 2023

Analyzing Improvement Of Mask R-Cnn On Arms Plates (And Sponges And Coral), James Lee

Master's Projects

Coral Reefs and their diverse array of life forms play a vital role in maintaining the health of our planet's environment. However, due to their fragility, it can be challenging to study the reefs without damaging their delicate ecosystem. To address this issue, researchers have employed non-invasive methods such as using Autonomous Reef Monitoring Structures (ARMS) plates to monitor biodiversity. Data was collected as genetic samples from the plates, and high-resolution photographs were taken. To make the best use of this image data, scientists have turned to machine learning and computer vision. Prior to this study, MASKR-CNN was utilized as …

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The Search For Metabolic Variants In Response To Climate Change In The American Pika, Tyler Stewart Trader Jan 2023

The Search For Metabolic Variants In Response To Climate Change In The American Pika, Tyler Stewart Trader

Master's Projects

Climate change and rising temperatures pose a serious threat to the long-term survival of American pika (Ochotana princeps), emphasizing the interest in the adaptive capability of the pika. This project queried single nucleotide polymorphisms in a population of American pika in Yosemite National Park using Whole Genome Sequencing data, with a specific interest in metabolic variants. The sample data included temporally separated cohorts, comparing modern population data to historical data taken before rapid anthropogenic climate change. Statistically significant variants were identified under Approximate Bayesian Computation using a population decline model. Although population statistics indicated little change between the …

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Modeling Sequencing Artifacts In Artificial Low Frequency Cancer Data, Hannele Padre Jan 2023

Modeling Sequencing Artifacts In Artificial Low Frequency Cancer Data, Hannele Padre

Master's Projects

The rapid advancement in technology for next-generation sequencing (NGS) continues to make NGS more affordable, and in turn, there is a high influx of sequencing data. While NGS is relatively fast and efficient compared to previous sequencing technologies, there are a multitude of steps in the NGS workflow in which sequencing errors can be introduced. Such sequencing errors are known as artifacts, and if not careful, they can be mistaken for true variants. It's especially important to distinguish artifacts in cancer biopsies, specifically liquid biopsies, a noninvasive method for sample collection. Somatic mutations occur at low frequencies, and a liquid …

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Identification Of Oral Microbiome With Full-Length 16s Sequencing Using Nanopore Technology, Uyen Hoang Jan 2023

Identification Of Oral Microbiome With Full-Length 16s Sequencing Using Nanopore Technology, Uyen Hoang

Master's Projects

Human microbiota has a key role in human development and receives considerable attention from research communities. Advances in metagenomics sequencing technologies have significantly improved the capabilities to characterize microbial species associated with human health and disease. Nanopore metagenomics sequencing makes a revolution by detailed characterization of the complex human microbiome. The Nanopore approach resembles traditional genome sequencing but also presents unprecedented challenges. This project will examine the Nanopore approach for oral human microbiome analysis focusing on the 16S rRNA gene collected from the oral cavity of healthy and Mild PKU patients. The findings of this project found that Nanopore sequencing …

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A Natural Language Processing Approach To Malware Classification, Ritik Mehta Jan 2023

A Natural Language Processing Approach To Malware Classification, Ritik Mehta

Master's Projects

Many different machine learning and deep learning techniques have been successfully employed for malware detection and classification. Examples of popular learning techniques in the malware domain include Hidden Markov Models (HMM), Random Forests (RF), Convolutional Neural Networks (CNN), Support Vector Machines (SVM), and Recurrent Neural Networks (RNN) such as Long Short-Term Memory (LSTM) networks. In this research, we consider a hybrid architecture, where HMMs are trained on opcode sequences, and the resulting hidden states of these trained HMMs are used as feature vectors in various classifiers. In this context, extracting the HMM hidden state sequences can be viewed as a …

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Metagenomic Survey Of Marine 16s Bacterial Communities Off Palmer Station In Antarctica, Daniel Salter Jan 2023

Metagenomic Survey Of Marine 16s Bacterial Communities Off Palmer Station In Antarctica, Daniel Salter

Master's Projects

This project surveys the metagenomic bacterial community composition in marine surface waters off Palmer Station, Western Antarctic Peninsula and correlates findings with temperature and salinity data. Marine bacterial communities play a vital role in nutrient cycling, but data on surface waters in this region are limited. Analyzing fifteen samples of 16S sequencing data from three austral summers, consistent dominance was observed by the classes Alphaproteobacteria, Gammaproteobacteria, and Flavobacteria. Correlation analysis confirmed significant relationships between taxa and environmental conditions. The observed trends suggest varying abilities of phyla to resist and adapt to changing environmental conditions. Notably, Alphaproteobacteria demonstrated adaptability to favorable …

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Evaluation Of The Effect Of Walnut Extract On Sp1-Related Pathways, Jihan Yehia Jan 2023

Evaluation Of The Effect Of Walnut Extract On Sp1-Related Pathways, Jihan Yehia

Master's Projects

Walnut extract (WE) has shown promising anti-cancer effects, such as inducing apoptosis and moderating cell cycle progression. A previous study by Dr. Brandon White’s Lab at San Jose State University hypothesizes that WE can downregulate the expression of the pro-tumoral specificity protein 1 (Sp1) in triple negative breast cancer (TNBC). This project builds an RNA-seq pipeline that runs differential gene expression (DGE) analysis to study the effect of WE on TNBC, thereby offering a wider perspective on genes that may be affected by this treatment. The data used in this project originated from Illumina and Nanopore sequencing methods, and DGE …

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Visual Scene Classification Using Ensemble Of Machine Learning Classifiers, Rahul Ranganath Jan 2023

Visual Scene Classification Using Ensemble Of Machine Learning Classifiers, Rahul Ranganath

Master's Projects

Visual scenes represent the comprehensive visual information observed in a particular environment. Whether natural landscapes, urban settings, or designed interiors, visual scenes encompass the arrangement of elements that individuals perceive through their visual senses. Visual search is perhaps one of the most typical jobs that we carry out several times a day. This is one of the main paradigms for researching visual attention. Many visual task models have been put forward in an effort to better understand visual attention. Fixations and the rapid movement of the eye - saccades, define visual exploration and visual search. When we subject viewers to …

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Identification Of Copy Number Variations (Cnvs) Of Epigenetic Factors Related To The Progression Of Pancreatic Ductal Adenocarcinoma (Pdac), Pavithra Raju Jan 2023

Identification Of Copy Number Variations (Cnvs) Of Epigenetic Factors Related To The Progression Of Pancreatic Ductal Adenocarcinoma (Pdac), Pavithra Raju

Master's Projects

Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in oncology due to its aggressive form and late-stage detection. PDAC is known to be influenced by various epigenetic factors like DNA methylation and histone modifications. This study focuses on copy number variations (CNVs) within epigenetic factors which for their role in early diagnosis. Thus, paving the way for identification of potential biomarkers. The epigenetic pipeline was extended based on CNVs and the CNV modified sequences extracted were compared with the wild type sequences of epigenetic PDAC genes. The epigenetic gene KCNJ11 with copy number gain of CNV id 46771406 was used …

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Analyzing The Benthic Cover Of Crustose Coralline Algae Using Mask-R Cnn, Rachana Ravindra Jan 2023

Analyzing The Benthic Cover Of Crustose Coralline Algae Using Mask-R Cnn, Rachana Ravindra

Master's Projects

Coral reefs, supporting 25% of marine biodiversity, confront challenges from local and global impacts like overfishing, runoff, acidification, and warming. Crustose Coralline Algae (CCA), pivotal for reef structure and coral settlement, are underrepresented in research. Current methods like Coral Point Count with Excel Extensions (CPCe) have limitations, relying on image quality and being time-consuming. This paper proposes computer vision and Mask R-CNN, a supervised machine learning model, for CCA analysis in reef images, considering color, texture, and shape. Results indicate promise in clustering and classifying organisms. The innovative technology reduces manual labor, enhancing image analysis, simplifying the understanding of CCA’s …

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Manifestations Of Communicative Resilience In Experiences Of Serial Arguments Among Adult Children Of Harmful Parental Alcohol Use, Brooklyn Willis Jan 2023

Manifestations Of Communicative Resilience In Experiences Of Serial Arguments Among Adult Children Of Harmful Parental Alcohol Use, Brooklyn Willis

Master's Theses

This thesis investigated the ways in which adult children of harmful parental alcohol use manifest resilience through the lens of the Communication Theory of Resilience (CTR). The CTR presents five communication processes by which resilience, which is the ability to overcome hardship, is demonstrated. Serial arguments, the repeated and unresolved conflicts that occur between romantic partners, were utilized as the context to study resilience. Interviews were conducted to learn about perceptions of serial argument resolvability and the ways and frequencies in which resilience manifested. A pre-interview survey gathered information pertaining to relationship satisfaction and perceptions of resilience. A thematic analysis …

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Identifying Potential Alzheimer’S Disease Biomarkers Beyond Amyloid-Beta And Tau, Frank Cai Jan 2023

Identifying Potential Alzheimer’S Disease Biomarkers Beyond Amyloid-Beta And Tau, Frank Cai

Master's Projects

Alzheimer's Disease (AD) and other forms of Mild Cognitive Impairment (MCI) affect millions of people around the world. The buildup of Amyloid-Beta (Aβ) and Tau proteins in the brain produced by amyloid precursor protein (APP) has been identified as an important cofactor in the onset and progression of AD. However, although patients diagnosed with AD exhibit Aβ and Tau buildup, about 40% of the subjects with Aβ and Tau buildup are not diagnosed with AD. In this project, we hypothesize the involvement of other epigenetic interactions between APP and related genes in addition to the buildup of Aβ and Tau …

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Application Of Adversarial Attacks On Malware Detection Models, Vaishnavi Nagireddy Jan 2023

Application Of Adversarial Attacks On Malware Detection Models, Vaishnavi Nagireddy

Master's Projects

Malware detection is vital as it ensures that a computer is safe from any kind of malicious software that puts users at risk. Too many variants of these malicious software are being introduced everyday at increased speed. Thus, to guarantee security of computer systems, huge advancements in the field of malware detection are made and one such approach is to use machine learning for malware detection. Even though machine learning is very powerful, it is prone to adversarial attacks. In this project, we will try to apply adversarial attacks on malware detection models. To perform these attacks, fake samples that …

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Leadership Styles, Staff Motivation And Job Satisfaction In Private University Libraries In Osun State, Nigeria, Adebowale Jeremy Adetayo, Abata-Ebire Blessing Damilola (Mrs), Omobola Abigail Babarinde Jan 2023

Leadership Styles, Staff Motivation And Job Satisfaction In Private University Libraries In Osun State, Nigeria, Adebowale Jeremy Adetayo, Abata-Ebire Blessing Damilola (Mrs), Omobola Abigail Babarinde

Library Philosophy and Practice (e-journal)

The study sought to examine the influence of leadership styles and staff motivation on job satisfaction in private university libraries in Osun State, Nigeria. The descriptive survey design was adopted for the study. Data were analyzed using descriptive and inferential statistics. Findings revealed that leadership styles and Staff motivation are predictors of job satisfaction of library staff. There was a high level of job satisfaction among library personnel due to the democratic leadership styles that were predominant. Most of the library staff were highly motivated with a higher level of intrinsic motivation than extrinsic motivation. The study concludes that leadership …

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Perceptions And Challenges In Accessing Library Electronic Resources: A Case Study Of The National Open University Of Nigeria (Noun), Babarotimi Oluwaseun, Babarotimi Opeyemi Oluwaseun Bo Jan 2023

Perceptions And Challenges In Accessing Library Electronic Resources: A Case Study Of The National Open University Of Nigeria (Noun), Babarotimi Oluwaseun, Babarotimi Opeyemi Oluwaseun Bo

Library Philosophy and Practice (e-journal)

This study investigated user perceptions and challenges associated with accessing and utilizing electronic resources at the National Open University of Nigeria (NOUN), including their implications for remote users. Using a quantitative research approach and survey methodology, the study involved 1,680 participants: 1,513 students, 140 academic staff, and 27 academic librarians. Employing a combination of probability (stratified random and systematic) and nonprobability (purposive) sampling ensured comprehensive representation. Participants completed self-administered closed-ended questionnaires distributed through online platforms, primarily Google Forms. Data collected underwent thorough analysis using the Statistical Package for the Social Sciences (SPSS). Findings indicated that the NOUN library offers access …

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The Effectiveness And Efficiency Of The Library Services Of A Catholic University In The Philippines, David A. Cabonero Jan 2023

The Effectiveness And Efficiency Of The Library Services Of A Catholic University In The Philippines, David A. Cabonero

Library Philosophy and Practice (e-journal)

The study aimed to determine the efficiency and effectiveness of the services of Saint Mary's University Learning Resource Center. Specifically, it aimed to answer the following questions: 1. What is the extent of effectiveness and efficiency of the services offered in the different sections of the University Learning Resource Center?; 2. What is the extent of effectiveness and efficiency of the University Learning Resource Center in the following library services: a) bibliographic services, b) circulation services, c) current awareness services, d) e-library services, e) information retrieval services, f) reference services, and g) instruction services?; and 3) What recommendations can be …

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Knowledge Sharing And Referral Practices By Traditional Birth Attendants In Low-Income Urban Areas Of Southwest Nigeria, Janet O. Adekannbi, Joy O. Oluwafemi Jan 2023

Knowledge Sharing And Referral Practices By Traditional Birth Attendants In Low-Income Urban Areas Of Southwest Nigeria, Janet O. Adekannbi, Joy O. Oluwafemi

Library Philosophy and Practice (e-journal)

Traditional birth attendants (TBAs) are important for maternal health care especially in Africa’s low-income areas. Without doubt, the relevance of TBAs in developing countries such as Nigeria is not expected to reduce in the foreseeable future. The knowledge of traditional birth attendants will continue to be needed and considering the tacit nature of their knowledge, there is a need to preserve the knowledge in this profession and promote sharing of best practices to prevent maternal mortality issues. This study investigated the knowledge sharing (KS) and referral practices of TBAs in low-income urban areas of South-west Nigeria. Qualitative approach was adopted …

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Research Collaboration Analysis Among The Faculty Members Of Vidyasagar University During 1998-2022: A Bibliometric Study, Manoj Kumar Mandal Jan 2023

Research Collaboration Analysis Among The Faculty Members Of Vidyasagar University During 1998-2022: A Bibliometric Study, Manoj Kumar Mandal

Library Philosophy and Practice (e-journal)

Vidyasagar University, named after Pandit Iswar Chandra Vidyasagar was established as a state university in 1981. This university is known for research excellence in fields like science and technology, besides other branches of social sciences. This paper attempts to analyse the research collaboration among the faculty members of Vidyasagar University during 1998 to 2022 through bibliometric analysis. To this end, the paper extracted the data from Scopus database for the publications of the faculty members of Vidyasagar University during the said period. To analyse the data and visualise the research aspects Bibliometrix R package, Bibexcel, MS Excel and VOSviewer were …

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Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication, Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans Jan 2023

Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication, Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans

Faculty Research, Scholarly, and Creative Activity

Sleep inertia is the brief period of impaired alertness and performance experienced immediately after waking. Little is known about the neural mechanisms underlying this phenomenon. A better understanding of the neural processes during sleep inertia may offer insight into the awakening process. We observed brain activity every 15 min for 1 hr following abrupt awakening from slow wave sleep during the biological night. Using 32-channel electroencephalography, a network science approach, and a within-subject design, we evaluated power, clustering coefficient, and path length across frequency bands under both a control and a polychromatic short-wavelength-enriched light intervention condition. We found that under …

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2d-3d Facial Image Analysis For Identification Of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization For Forensics Applications, Gangothri Sanil, Krishna Prakash, Srikanth Prabhu, Vinod C. Nayak, Saptarshi Sengupta Jan 2023

2d-3d Facial Image Analysis For Identification Of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization For Forensics Applications, Gangothri Sanil, Krishna Prakash, Srikanth Prabhu, Vinod C. Nayak, Saptarshi Sengupta

Faculty Research, Scholarly, and Creative Activity

Recognizing a face is a remarkable process that humans naturally use. Computer vision has tried to resemble this ability of human vision as a biometric tool to identify humans. Commercial and law enforcement applications are increasingly using face recognition technology to identify people. Currently, it is one of the most sought-after detection methods used in forensics for criminal identification purposes. Owing to similarities in the appearance of certain faces, especially in criminal cases, this problem poses a great challenge in forensic investigation and detection. The novelty of this work lies in the development of a framework for face recognition using …

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