Software and algorithmic decision support tools for real estate selection and quality assessment

Zelenskiy, Ilya; Parygin, Danila; Ather, Danish; Soplyakov, Ivan; Antyufeev, A. Yu.; Prigarin, E. A.

doi:10.1088/1742-6596/1661/1/012201

Cited by 3 publications

(1 citation statement)

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“…Challenges include deciphering the subtleties of complex emotions, accounting for individual differences in emotional expression, and addressing biases in emotion recognition technologies. Future research is poised to delve deeper into these aspects, exploring the intricate relationship between facial expressions, emotions, and social context., as shown in Fig 1 .[10]- [14]…”

Section: Literature Surveymentioning

confidence: 99%

Emotional recognition from facial expressions

Davronbek Rakhmatullaev

2023

matrix

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The field of emotional recognition from facial expressions represents a fascinating intersection of psychology, neuroscience, and technology. This area of study delves into understanding how human emotions can be identified through the analysis of facial expressions. The complexity lies in deciphering the subtle variations in facial muscle movements that convey a wide range of emotions. Recent advancements in artificial intelligence and machine learning have propelled this field forward, enabling the development of sophisticated algorithms capable of analyzing and interpreting facial expressions with remarkable accuracy. These technologies hold immense potential in various applications, from enhancing interpersonal communication and empathy to improving customer service and security. However, the pursuit of accurate emotional recognition raises important ethical and privacy concerns. It underscores the need for responsible use of technology, ensuring that emotional detection respects individual privacy and is used for constructive, non-invasive purposes. This emerging field continues to evolve, promising deeper insights into human emotions and their expression, while challenging us to consider the implications of technology that can 'read' our emotions.

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Section: Literature Surveymentioning

confidence: 99%

Emotional recognition from facial expressions

Davronbek Rakhmatullaev

2023

matrix

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Development of a Methodology for Complex Monitoring of the Development of Urban and Suburban Areas Based on the Intellectual Analysis of Earth Remote Sensing Data and Geospatial Technologies

Malikov

Sadovnikova

Parygin

et al. 2021

Communications in Computer and Information Science

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Effective Implementation of Integrated Area Development Based on Consumer Attractiveness Assessment

et al. 2022

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This article examines the 11th UN Sustainable Development Goal through the lens of the needs of citizens. The study proposes to compare the means and goals of integrated area development (IAD) and sustainable development. It was proposed to implement a decision support system for choosing options for the area development, based on the assessment of indicators for achieving the desired result. The purpose of the article is to consider the possibility of using the attractiveness of the territory for potential consumers as such an indicator. The calculation method, as well as methods for collecting, filtering, and processing open sources of data on the state of the urban environment, were developed to evaluate this indicator. The obtained methods were tested on a sample of apartments in the Volgograd, Russia, in order to verify the adequacy of the proposed indicator. A comparison of the dynamics of the resulting assessments of attractiveness and the market prices of the studied apartments showed a correlation and adequacy of the proposed methods for practical application. The main limitation remains the need for large-scale collection and preliminary processing of data for the assessment, as well as setting up of the assessment method configuration: criteria, scales, etc.

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Software and algorithmic decision support tools for real estate selection and quality assessment

Cited by 3 publications

References 1 publication

Emotional recognition from facial expressions

Emotional recognition from facial expressions

Development of a Methodology for Complex Monitoring of the Development of Urban and Suburban Areas Based on the Intellectual Analysis of Earth Remote Sensing Data and Geospatial Technologies

Effective Implementation of Integrated Area Development Based on Consumer Attractiveness Assessment

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