Topical Collection on "Innovative application of AI and machine learning in solving ecological problems"

Deadline for manuscript submissions: 18 April 2026

Collection Editor: 

 

Prof. Dr. Alexey Mikhaylov
Researchgate Link：https://www.researchgate.net/profile/Alexey-Mikhaylov
ORCID: https://orcid.org/0000-0003-2478-0307
Affiliation: Department of Financial Technologies, Financial University under the Government of the Russian Federation, Moscow 125167, Russia
Research Interests: AI; Machine learning; Climate change; Green finance

 

Topical Collection Information:

Dear Colleagues,

The research in the special issue can be closely and highlight the innovative application of AI and machine learning in solving ecological problems (such as ecosystem protection, biodiversity monitoring, global change response, etc.), the theme of the special issue can be better aligned with the research scope of the journal.

In addition, the research results of the special issue should emphasize the contribution to ecological theory and practice, rather than just the description of technical methods. The objective is the integration of ecological theory with environmental management methods based on AI, Fuzzy Logic and Machine Learning analytical approach. Due to technological innovations, the ecology is undergoing some of the most fundamental changes nowadays.

Digital technology developments in ecology have enabled countries to overcome the time barrier and enter the software industry world. Worldwide ecology management contributed to achieving economic and social development.

The research purposes were identified within the environmental management study. It quickly becomes apparent that new AI and ML methods in environmental management is distinguished from traditional methods. This AI methods has become an area of research to examine the digital society, which has become an integral part of people's lives worldwide. It has led to shifts in individuals' awareness and facilitated ecological interaction.

Collection Editor
Prof. Alexey Mikhaylov

Keywords:

  • Ecosystem protection
  • Biodiversity monitoring
  • Global change response
  • AI
  • Fuzzy logic
  • Deep seek
  • Machine learning

 

Published Papers: 

  • Article (This article belongs to the Special Issue "Innovative application of AI and machine learning in solving ecological problems")

    Assessing Ecological Impacts of Urban Land Valuation: AI and Regression Models for Sustainable Land Management

    Yana Volkova , Elena Bykowa, Oksana Pirogova, Sergey Barykinc, Dmitriy Rodionov, Ilya Sonts, Angela Mottaeva, Alexey Mikhaylov, Dmitry Morkovkin, N. B. A. Yousif, Tomonobu Senjyu, Farooq Ahmed Shah
    192–208

    Article ID: 9780    DOI：https://doi.org/10.30564/re.v7i2.9780
    74  (Abstract) 45  (Download)

    Abstract: The results of mass appraisal in many countries are used as a basis for calculating the amount of real estate tax, therefore, regardless of the methods used to calculate it, the resulting value should be as close as possible to the market value of the real estate to maintain a balance of interests between the... More

  • Article (This article belongs to the Special Issue "Innovative application of AI and machine learning in solving ecological problems")

    Ecological Impact in Northern Tanzania using Heckman AI Two-Step Selection Model

    Ritha Luoga, Anthony Nyangarika, Josephine Mkunda, Alexey Mikhaylov, Sergey Barykin, Daria Dinets, Vasilii Buniak, Oksana Solodchenkova, Anton Kucher, N. B. A. Yousif, Tomonobu Senjyu, Farooq Ahmed Shah
    72-88

    Article ID: 10226    DOI：https://doi.org/10.30564/re.v7i3.10226
    71  (Abstract) 18  (Download)

    Abstract: This study explores the determinants of impact on ecology in Northern Tanzania. By examining key socio-economic, institutional, and structural factors influencing engagement the study provides insights in strengthening agribusiness networks and improving livelihoods. Data was collected from 215 farmers and 320 traders through a multistage sampling procedure. Heckman AI sample selection model was used in data... More

  • Article (This article belongs to the Special Issue "Innovative application of AI and machine learning in solving ecological problems")

    Smart Ecotourism and Natural Ecology in Kazakhstan

    Alexey Mikhaylov, Sergey Barykin, Daria Dinets, Vasilii Buniak, Oksana Kompaniitseva, Anton Kucher, Ekaterina Shevchuk, Oksana Konpaniitseva, N. B. A. Yousif, Tomonobu Senjyu, Valery Abramov, Naqib Ullah Khan
    89-103

    Article ID: 10233    DOI：https://doi.org/10.30564/re.v7i3.10233
    47  (Abstract) 13  (Download)

    Abstract: Artificial intelligence (AI) is transforming the tourism industry and affecting on natural ecology, making it more environmentally friendly, efficient and personalized. In 2025, AI technologies are being actively implemented to reduce the carbon footprint, optimize resources, and improve the travel experience. Here are the key applications of AI in environmentally sustainable smart tourism: AI in smart... More