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Publications

Academic papers, research studies, and technical publications exploring AI applications in environmental planning and regulatory compliance.

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Utilizing machine learning for predictive analysis of emission levels to ensure compliance in refinery operations

… of advanced ML models, especially for deep learning architectures, is another substantial challenge. … Umana, The role of environmental compliance in oil and gas production: A critical … focusing on AI applications in environmental planning and compliance.

researchgate.net • 2025
Gyaase, F., Okunlola, O., …, A., 2025
Machine Learning Deep Learning Predictive Modeling
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Habitat Intelligence: How Machine Learning Reveals Species Preferences for Ecological Planning and Conservation.

… : ecological modeling, computer vision, geospatial science, and … ecological modeling, computer vision, geospatial science, … of wildlife, improve habitat assessment, conduct advanced … focusing on AI applications in environmental planning and compliance.

search.ebscohost.com • 2025
Ennakri, M., Ziti, S., …, M., 2025
Machine Learning Computer Vision Species Modeling Predictive Modeling
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Improving detection of pollution fee declarations for environmental policy compliance through metaheuristic-optimized ensemble learning

… This research presents a novel approach to environmental compliance monitoring using SMOTE-based ensemble learning optimized by the FBI algorithm, offering a scalable and … focusing on AI applications in environmental planning and compliance.

emerald.com • 2025
Chou, J., Yeh, P., Liu, C., Engineering, K., Construction
Deep Learning Environmental Science Regulatory Technology
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The regulation of artificial intelligence tools for environmental impact assessment: Learning from the practice of impact analysis in French-speaking sub-Saharan …

… How can regulators best ensure that artificial intelligence does not exacerbate existing … to regulate artificial intelligence, through legislation such as the EU’s Artificial Intelligence Act, … focusing on AI applications in environmental planning and compliance.

2024 • 2024
Yentchare, P.
Environmental Assessment Environmental Science Regulatory Technology
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Attempting Cost Benefit Analysis of NEPA

… and machine learning to … NEPA’s regulatory requirements. Stakeholders – from engineering companies to organizations focused on environmental justice – have been calling for NEPA … focusing on AI applications in environmental planning and compliance.

2024 • 2024
Smith, B.
Machine Learning CEQA NEPA
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Benchmarking LLMs for Environmental Review and Permitting

… Retrieval-augmented generation for knowledge-intensive nlp tasks. … Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches focusing on AI applications in environmental planning and compliance.

pnnl.gov • 2024
Meyur, R., Phan, H., Hayashi, K., …, I., 2024
NLP Environmental Science Regulatory Technology
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Combining multi-view UAV photogrammetry, thermal imaging, and computer vision can derive cost-effective ecological indicators for habitat assessment

… vision intelligence during habitat assessment (by replacing … information to assist habitat assessment processes. We define … and accuracy for wetland habitat assessment focusing on AI applications in environmental planning and compliance.

mdpi.com • 2024
Hu, Q., Zhang, L., Drahota, J., Woldt, W., Sensing, D.
Computer Vision Species Modeling Regulatory Technology
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Using an artificial intelligence chatbot to critically review the scientific literature on the use of artificial intelligence in environmental impact assessment

… There is considerable uncertainty about the role that Artificial Intelligence (AI) might play in Environmental Impact Assessment (EIA), including into research. AI large language model (… focusing on AI applications in environmental planning and compliance.

Taylor & Francis • 2024
Bond, A., Cilliers, D., Retief, F., …, R., Appraisal, P.
Environmental Assessment Environmental Science Regulatory Technology
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Towards time and cost‐efficient habitat assessment: challenges and opportunities for benthic ecology and management

4 3D modelling and computer vision Machine learning and computer vision technologies power many aspects of modern society, from web searches to self-driving cars, and their … focusing on AI applications in environmental planning and compliance.

Wiley Online Library • 2023
Schenone, S., Azhar, M., Marine, P., …, F., 2023
Machine Learning Computer Vision Species Modeling
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Environmental Impact of Artificial Intelligence

… Third, we review some case studies on environmental impact assessment for AI (Section 3). … and environmental impact assessment necessary for understanding this bibliographic work focusing on AI applications in environmental planning and compliance.

2023 • 2023
Delort, E., Riou, L., Srivastava, A.
Environmental Assessment Environmental Science Regulatory Technology
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Opportunities for artificial intelligence in environmental compliance

… less than 10% of manual resources, this deep learning technique still has challenges. For one, … Moreover, developing such a deep learning machine is computationally intensive and this ….

JSTOR • 2022
Law, R. and 2022
Deep Learning Environmental Science Regulatory Technology
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Artificial intelligence solutions for environmental and social impact assessments

… Artificial intelligence (AI) applications offer opportunities to support ESIA processes across the … Spatio-temporal anomaly detection for environmental impact assessment: A case of an … focusing on AI applications in environmental planning and compliance.

elgaronline.com • 2022
Curmally, A., Sandwidi, B., …, A., 2022
Environmental Assessment Environmental Science Regulatory Technology
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AI approaches to environmental impact assessments (EIAs) in the mining and metals sector using AutoML and Bayesian modeling

… Importantly, artificial intelligence (AI) could make the mining and metals industry more ethical … This study aims to deepen the manner in which environmental impact assessment (EIA) … focusing on AI applications in environmental planning and compliance.

mdpi.com • 2021
Gerassis, S., Giráldez, E., Sciences, M., 2021
Machine Learning Environmental Assessment Predictive Modeling
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NEPA and national trends in federal infrastructure siting in the United States

… Policy Act (NEPA) … , NEPA plays a sweeping role in federal infrastructure provisioning. Using a comprehensive dataset of Environmental Impact Statements (EISs) prepared under NEPA … focusing on AI applications in environmental planning and compliance.

Wiley Online Library • 2020
Scott, T., …, N., 2020
Machine Learning CEQA NEPA Environmental Assessment
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Innovations for environmental compliance: Emerging evidence and opportunities

… “deep learning,” which uses big data and complex models to detect potentially subtle patterns. Since 2011, deep learning … Handan-Nader & Ho demonstrated that deep learning … focusing on AI applications in environmental planning and compliance.

acwa-us.org • 2020
Benami, E., Ho, D., brief, A., …, S., 2020
Deep Learning Environmental Science Regulatory Technology
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Habitat-Net: Segmentation of habitat images using deep learning

Understanding environmental factors that influence forest health, as well as the occurrence and abundance of wildlife, is a central topic in forestry and ecology. However, the manual … focusing on AI applications in environmental planning and compliance.

Elsevier • 2019
Abrams, J., Vashishtha, A., Wong, S., …, A., 2019
Deep Learning Computer Vision Species Modeling
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Probabilistic neural networks modeling of the 48-h LC50 acute toxicity endpoint to Daphnia magna

… The resulting models computational algorithms are implemented as basic probabilistic neural networks with Gaussian kernel (statistical corrections included). The first experiment uses … focusing on AI applications in environmental planning and compliance.

Taylor & Francis • 2008
Niculescu, S., Lewis, M., SAR, J., …, Q., 2008
Deep Learning Species Modeling Predictive Modeling
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Rediscovering the species in community‐wide predictive modeling

… the advantages of single-species modeling (focusing on species … of researchers to use neural networks was limited to those … potential of artificial neural networks in modeling biological ….

Wiley Online Library • 2006
Olden, J., Joy, M., Applications, R., 2006
Deep Learning Species Modeling Predictive Modeling

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