Faculty

Institution

Unit

Venue

Gurman Gill

Sonoma State University

Affiliations

Center For Environmental Inquiry

Department Of Computer And Engineering Science

School Of Extended And International Education

NoneGurman Gill is currently serving as a Center For Environmental Inquiry faculty at Sonoma State University.

Honors

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Experiences

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Education

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Gurman Gill

Sonoma State University

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environmental science machine learning pattern recognition ecology data science materials science information science image analysis geographic information systems geology nuclear physics deep learning avian biology geographical information science information forensics digital earth nuclear science automatic identification automatic classification geoinformatics geocomputation disaster detection applied artificial intelligence soundscapes soundscape classification ecoacoustic data geographic patterns community priorities research agenda geology field data rock microstructures automatic detection geological cyber-infrastructure applied soundscape classification

Notable Scholarly Works

Notable Federal Grants

Collaborators

Convolutional Neural Network and Data Used for Applied Soundscape Classification With Soundscapes 2 Landscapes (S2L). Zenodo (CERN European Organization for Nuclear Research) (2022)

Colin A. QuinnPatrick BurnsGurman GillShrishail BaligarRose L. SnyderLeonardo SalasScott J. GoetzMatthew L. Clark

applied artificial intelligencenuclear physicssoundscapesenvironmental sciencenuclear sciencedeep learningpattern recognitionearth sciencehealth sciencesapplied soundscape classification

Cyberinfrastructure for Collecting and Integrating Geology Field Data: Community Priorities and Research Agenda. Geological Society of America eBooks (2022)

Matty Mookerjee*Marjorie A. ChanYolanda GilGurman GillCharles GoodwinTerry L. PavlisThomas F. ShipleyTaylor SwainBasil TikoffDaniel Vieira

community prioritiesinformation scienceresearch agendadata sciencegeology field data

Soundscape Classification With Convolutional Neural Networks Reveals Temporal and Geographic Patterns in Ecoacoustic Data. Ecological Indicators (2022)

Colin A. QuinnPatrick BurnsGurman GillShrishail BaligarRose L. SnyderLeonardo SalasScott J. GoetzMatthew L. Clark

avian biologyenvironmental sciencesoundscape classificationecoacoustic dataecologymachine learninggeographic patterns

Automatic Detection and Classification of Rock Microstructures Through Machine Learning. (2021)

Stephen IotaJunyi LiuMing LyuBolong PanXiaoyu WangYolanda GilGurman GillWael AbdAlmageedMatty Mookerjee

materials sciencerock microstructuresautomatic identificationautomatic detectionpattern recognitionautomatic classificationmachine learning

Building a Geological Cyber-Infrastructure: Automatically Detecting Clasts in Photomicrographs. (2020)

geoinformaticsgeographical information scienceinformation forensicsdigital earthgeocomputationgeographydisaster detectionimage analysisgeological cyber-infrastructuregeographic information systemsgeology

Classifying False Alarms in Camera Trap Images Using Convolutional Neural Networks. (2020)

Comparison of Pre-Trained vs Domain-Specific Convolutional Neural Networks for Classification of Interstitial Lung Disease. (2019)

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Gurman Gill

Sonoma State University

Affiliations

Center For Environmental Inquiry

Department Of Computer And Engineering Science

School Of Extended And International Education

NoneGurman Gill is currently serving as a Center For Environmental Inquiry faculty at Sonoma State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Gurman Gill

Sonoma State University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Convolutional Neural Network and Data Used for Applied Soundscape Classification With Soundscapes 2 Landscapes (S2L). Zenodo (CERN European Organization for Nuclear Research) (2022)

Colin A. QuinnPatrick BurnsGurman GillShrishail BaligarRose L. SnyderLeonardo SalasScott J. GoetzMatthew L. Clark

applied artificial intelligencenuclear physicssoundscapesenvironmental sciencenuclear sciencedeep learningpattern recognitionearth sciencehealth sciencesapplied soundscape classification

Cyberinfrastructure for Collecting and Integrating Geology Field Data: Community Priorities and Research Agenda. Geological Society of America eBooks (2022)

Matty Mookerjee*Marjorie A. ChanYolanda GilGurman GillCharles GoodwinTerry L. PavlisThomas F. ShipleyTaylor SwainBasil TikoffDaniel Vieira

community prioritiesinformation scienceresearch agendadata sciencegeology field data

Soundscape Classification With Convolutional Neural Networks Reveals Temporal and Geographic Patterns in Ecoacoustic Data. Ecological Indicators (2022)

Colin A. QuinnPatrick BurnsGurman GillShrishail BaligarRose L. SnyderLeonardo SalasScott J. GoetzMatthew L. Clark

avian biologyenvironmental sciencesoundscape classificationecoacoustic dataecologymachine learninggeographic patterns

Automatic Detection and Classification of Rock Microstructures Through Machine Learning. (2021)

Stephen IotaJunyi LiuMing LyuBolong PanXiaoyu WangYolanda GilGurman GillWael AbdAlmageedMatty Mookerjee

materials sciencerock microstructuresautomatic identificationautomatic detectionpattern recognitionautomatic classificationmachine learning

Building a Geological Cyber-Infrastructure: Automatically Detecting Clasts in Photomicrographs. (2020)

Classifying False Alarms in Camera Trap Images Using Convolutional Neural Networks. (2020)

Comparison of Pre-Trained vs Domain-Specific Convolutional Neural Networks for Classification of Interstitial Lung Disease. (2019)

1
10 / page