Zorins, Aleksejs

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Zorins, Aleksejs
Official Name
Zorins, Aleksejs
Alternative Name
Zorins, A
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Email
aleksejs.zorins@rta.lv
ORCID
Scopus Author ID
56330428100
Researcher ID
DYL-3434-2022

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Now showing 1 - 2 of 2
  • Publication
    Understanding the Essence of Artificial Intelligence
    (2020)
    Zorins, Aleksejs 
    Most members of scientific community would agree that Artificial Intelligence (AI) has already dramatically changed our society and all of it aspects including science and research. There are thousands of publications declaring the great advantages of AI and only few are trying to go deeper and reveal other aspects of computerized world. In the present time the name cyber security has become hugely popular among governmental, business, social and other structures. However, usually it means only safety of personal or organizational data (financial and other resources) and stability and integrity of a computer system. Nothing more... In this article the author would like to look at the cyber systems especially based on AI from a perspective of ecological safety for humanity of such a system. The article provides definition of ecological safety of AI and discusses its relevance to a modern science and society.
  • Publication
    Climate change impact on conservation status of wild Melissa officinalis L. (Lamiaceae) populations in Armenia
    (2011)
    A Abrahamyan
    ;
    Teilāns, Artis 
    ;
    Zorins, Aleksejs 
    Climate change and temperature may lead to long-term irregularities in inter-specific interaction and may alter plant populations' dynamics, its structure and ecosystem functioning in the region [1,3]. Studies on possible effects of climate change on medicinal plants biodiversity and conservation status are particularly significant due to their value within traditional systems of medicine and as economically useful plants. Currently, only limited information on conservation status under the impact of global climate change of these species is available in Armenia [2]. Anthropogenic threats to biodiversity (overpopulation, deforestation and urbanization) have simultaneously hindered research and increased the need for it. From 2006–2009, field studies were conducted to find out changes the growth, phenological and habitat characteristics of Melissa officinalis L., population size and location (GPS mapping). In 2010, we have implicated these research data to carry out future assessment of the risk analyze and impact of global climate change on its population distribution and conservation status. Neural network and genetic algorithms have been identified as stochastic self-learning methods to investigate hidden regularities between different data. Certain factors, such as biological characteristic of plants, habitat of the populations, anthropogenic threats and climate change have been identified as the key elements. In fact, vulnerability of plant population, particularly will increase central and northern part of the country, as they identified to be comparatively stressful environment under global climate change and anthropogenic threats, which included: poor land management, increasing population pressure, and excessive collection of plants.