Rahib Imamguluyev | Baku State Universty (original) (raw)

Papers by Rahib Imamguluyev

Research paper thumbnail of The Role of Edge Computing in 6G-Enabled IoT Applications

International Journal of Research Publication and Reviews, 2024

The advent of 6G technology heralds a transformative era for the Internet of Things (IoT), charac... more The advent of 6G technology heralds a transformative era for the Internet of Things (IoT), characterized by ultra-low latency, massive connectivity, and
unprecedented data rates. This paper explores the pivotal role of edge computing in enhancing the performance, scalability, and efficiency of 6G-enabled IoT
applications. Edge computing brings computational resources closer to data sources, enabling real-time processing and reducing reliance on centralized cloud
infrastructures. This paradigm shift addresses critical challenges in IoT ecosystems, including bandwidth limitations, energy consumption, and data privacy
concerns. By integrating edge computing with 6G networks, IoT applications can achieve superior performance in diverse domains such as autonomous systems,
smart cities, healthcare, and industrial automation. The paper presents a comprehensive analysis of the synergies between 6G and edge computing, highlighting key
architectural considerations, technological enablers, and application scenarios. The findings demonstrate that edge computing is indispensable for unlocking the
full potential of 6G-enabled IoT, paving the way for innovative and sustainable digital solutions.

Research paper thumbnail of AI-POWERED EDUCATIONAL TOOLS: TRANSFORMING LEARNING IN THE DIGITAL ERA

International Research Journal of Modernization in Engineering Technology and Science, 2024

In the digital era, Artificial Intelligence (AI) is revolutionizing education by introducing inno... more In the digital era, Artificial Intelligence (AI) is revolutionizing education by introducing innovative tools that enhance learning experiences, personalize educational pathways, and optimize curriculum design. This article explores the transformative impact of AI-powered educational tools on modern learning environments, focusing on their ability to provide adaptive learning, virtual tutoring, and intelligent content delivery. It highlights the advantages of AI in fostering interactive and engaging educational experiences, offering real-time feedback, and enabling data-driven insights for improved learning outcomes. The challenges of AI integration, including ethical considerations, privacy concerns, and the evolving role of educators, are also examined. By presenting case studies of successful AI implementations and analyzing future trends, this study provides a comprehensive understanding of AI's role in reshaping education and offers insights into the potential of AI to create equitable and efficient learning systems for diverse learners worldwide.

Research paper thumbnail of A Fuzzy Logic Framework for Modeling Climate Change Impacts on Ecosystems

International Journal of Innovative Science and Research Technology, 2024

Climate change poses significant challenges to ecosystems, necessitating robust models to predict... more Climate change poses significant challenges to ecosystems, necessitating robust models to predict and manage its impacts. This paper presents a novel fuzzy logic framework designed to model the complex and uncertain interactions between climate change variables and ecosystem responses. The proposed framework leverages fuzzy logic's ability to handle imprecise and ambiguous data, providing a more nuanced understanding of how temperature fluctuations, precipitation changes, and extreme weather events affect biodiversity, species distribution, and ecosystem services. By integrating ecological knowledge with fuzzy inference systems, the model offers a flexible tool for simulating various climate scenarios and their potential effects on ecosystems. Case studies demonstrate the framework's applicability across different ecosystems, highlighting its potential to inform conservation strategies and policymaking. This work contributes to the growing body of research on climate change modeling, offering a powerful approach to anticipating and mitigating the adverse effects of environmental changes on natural habitats.

Research paper thumbnail of Artificial Intelligence 2050: Predictions, Challenges, and Innovations

International Journal of Research Publication and Reviews, Sep 12, 2024

This article explores the future of Artificial Intelligence (AI) in 2050, offering key prediction... more This article explores the future of Artificial Intelligence (AI) in 2050, offering key predictions, innovations, and challenges that will shape its development and impact. It begins with an overview of AI's evolution and emphasizes the importance of forecasting AI's trajectory to guide responsible development. Predictions for AI in 2050 envision its integration across industries such as healthcare, education, transportation, and environmental management, while innovations in machine learning, quantum computing, natural language processing, and AI hardware will drive these transformations. The article highlights the technological limitations, ethical and legal concerns, economic implications, and social resistance that AI development must navigate, as well as the need for global policy and regulatory frameworks to balance innovation with oversight. Further, the role of AI in international relations is examined, particularly in the context of global competition and security. Innovations in interdisciplinary approaches to AI are expected to foster new solutions for complex global challenges. Ultimately, the article stresses the importance of collaboration among stakeholders to ensure that AI's future serves the common good. By 2050, AI has the potential to profoundly enhance human capabilities and address global challenges, but its success will depend on responsible development, regulation, and ethical application.

Research paper thumbnail of Revolutionizing Human-Machine Interaction: Fuzzy Logic in interface Design

International Journal of Research Publication and Reviews, 2024

The integration of fuzzy logic into interface design has the potential to revolutionize human-mac... more The integration of fuzzy logic into interface design has the potential to revolutionize human-machine interaction by offering more intuitive, adaptive, and human-centric experiences. Traditional interfaces often rely on rigid, binary systems that struggle to accommodate the nuances of human behavior and decision-making. Fuzzy logic, with its ability to handle uncertainty and approximate reasoning, provides a powerful tool for bridging this gap. This paper explores the application of fuzzy logic in interface design, highlighting its ability to create more flexible and responsive systems that better align with human cognitive processes. By enabling interfaces to interpret and respond to ambiguous or imprecise inputs, fuzzy logic enhances the adaptability and efficiency of human-machine interaction. This approach not only improves user satisfaction but also opens new avenues for innovation in the development of intelligent systems capable of more natural and effective communication with users. The findings suggest that incorporating fuzzy logic into interface design is a critical step toward advancing the field of human-machine interaction, leading to more harmonious and productive collaborations between humans and machines.

Research paper thumbnail of Enhancing IoT Efficiency: The Role of Fuzzy Logic in Smart Decision Making

Research paper thumbnail of Smart Greenhouse Illumination: Fuzzy Logic Control through IoT Integration

Research paper thumbnail of Application of Fuzzy Logic Model to Save Energy in LED Lighting Systems in Office Spaces

Lecture notes in networks and systems, 2024

Research paper thumbnail of Enhancing Node Selection in Blockchain-Enabled Edge Internet of Things (IoT): A Fuzzy Logic Approach for Improved Performance

2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

Research paper thumbnail of Designing Climate Control with Fuzzy Logic for Smart Home Systems

Research paper thumbnail of Improving the Mechanism of Using the Price Factor in the Effective Regulation of Agricultural Production on the Basis of Fuzzy Logic

International Journal of Innovative Technologies in Economy, Dec 13, 2020

When studying the role of the price mechanism in the sustainable development of the economy, in a... more When studying the role of the price mechanism in the sustainable development of the economy, in accordance with the requirements of the modern economic mechanism, first of all, attention should be paid to the issue of state regulation of prices. The attitude to state regulation of prices is ambiguous. Existing control over the implementation of state regulation of the prices of a group of products based on the social protection of the population and the economic interests of the state, and economic legitimacy is sometimes perceived as a violation of economic democracy. However, the analysis of the role of the price factor in economic development proves that this idea has no basis. Thus, it is not possible to make accurate calculations so that the price of the product can change at any time for various reasons. Therefore, it is advisable to approach these calculations on the basis of fuzzy logic.

Research paper thumbnail of Determining Costs with Fuzzy Logic: The Example of a Construction Company

Lecture notes in networks and systems, 2023

Research paper thumbnail of Evaluation of the Effectiveness of Integration Processes in Production Enterprises Based on the Fuzzy Logic Model

Advances in intelligent systems and computing, 2021

Research paper thumbnail of Analysis of the Volume of Costs and Profits Under Conditions of Uncertainty Using the Method of Fuzzy Logic

Advances in intelligent systems and computing, 2023

Research paper thumbnail of Prospects for the Development of Transport Logistics and a Fuzzy Logic Model of the Strategic Goals of the Logistics System of Azerbaijan

Research paper thumbnail of Analysis of Intelligent Interfaces Based on Fuzzy Logic in Human-Computer Interaction

Lecture notes in networks and systems, 2023

Research paper thumbnail of Application of a Fuzzy Logic Model for Optimal Assessment of the Maintenance Factor Affecting Lighting in Interior Design

Lecture notes on data engineering and communications technologies, 2022

Research paper thumbnail of Application of Fuzzy Logic Model for Daylight Evaluation in Computer Aided Interior Design Areas

Advances in intelligent systems and computing, 2021

Research paper thumbnail of Determination of Correct Lighting Based on Fuzzy Logic Model to Reduce Electricity in the Workplace

Uluslararası Avrasya ekonomileri konferansı, Sep 1, 2020

Today, awareness of electrical systems is almost one of our main needs. Reducing our energy consu... more Today, awareness of electrical systems is almost one of our main needs. Reducing our energy consumption by ensuring energy efficiency in such a widely used system provides savings that will affect the economy and the life of energy sources, both economically and in terms of energy efficiency. The difference between electricity generation and the amount of electricity required in the last few years has been a cause for concern. In recent years, due to the increase in electricity prices, the steering committees of various organizations have begun to consider various ways to reduce electricity prices, and in this regard, attention should be paid to the basic lighting system. By applying healing methods or using new technologies without reducing production and switching to more efficient use of energy. Improving energy efficiency is more economical than investing in new energy sources. Energy saving in lighting is to provide good lighting conditions without compromising the quality of light. It is possible to achieve the same level of lighting with energy consumption, as good lighting will be provided by more efficient lighting elements. With efficient lighting, there will be less electricity consumption and eye health will be protected. This article discusses the application of a lighting system based on a fuzzy logic model to reduce electricity costs in offices.

Research paper thumbnail of Application of Fuzzy Logic Model for Correct Lighting in Computer Aided Interior Design Areas

Advances in intelligent systems and computing, Jul 11, 2020

Proper lighting is one of the important things in architectural design areas. Designers use a var... more Proper lighting is one of the important things in architectural design areas. Designers use a variety of software to design the interior of any area (e.g. AutoCAD, 3DsMax, SketchUp, Revit, etc.). Typically, designers determine the location lighting system and the number of bulbs prepared by the program. Problems arise when the design space provided by the designer is properly illuminated. To avoid these problems, it is necessary to pay attention to the following: 1. LUX definition by location, 2. Calculation of reflection coefficients according to color tones, 3. Identification of chandeliers and lamps, 4. Calculation of light flow (Lumen), 5. Calculation of bright intensity, 6. Calculation of the room index, 7. Lighting account. This article explores how to properly and efficiently illuminate daylight and artificial illumination in the interior design of 3Ds MAX according to a fuzzy logic model based on color tones. Based on the values obtained, calculations were made in the Fuzzy Toolbox section of Matlab and the results were obtained with lighting suitable for the interior design developed by 3DsMax.

Research paper thumbnail of The Role of Edge Computing in 6G-Enabled IoT Applications

International Journal of Research Publication and Reviews, 2024

The advent of 6G technology heralds a transformative era for the Internet of Things (IoT), charac... more The advent of 6G technology heralds a transformative era for the Internet of Things (IoT), characterized by ultra-low latency, massive connectivity, and
unprecedented data rates. This paper explores the pivotal role of edge computing in enhancing the performance, scalability, and efficiency of 6G-enabled IoT
applications. Edge computing brings computational resources closer to data sources, enabling real-time processing and reducing reliance on centralized cloud
infrastructures. This paradigm shift addresses critical challenges in IoT ecosystems, including bandwidth limitations, energy consumption, and data privacy
concerns. By integrating edge computing with 6G networks, IoT applications can achieve superior performance in diverse domains such as autonomous systems,
smart cities, healthcare, and industrial automation. The paper presents a comprehensive analysis of the synergies between 6G and edge computing, highlighting key
architectural considerations, technological enablers, and application scenarios. The findings demonstrate that edge computing is indispensable for unlocking the
full potential of 6G-enabled IoT, paving the way for innovative and sustainable digital solutions.

Research paper thumbnail of AI-POWERED EDUCATIONAL TOOLS: TRANSFORMING LEARNING IN THE DIGITAL ERA

International Research Journal of Modernization in Engineering Technology and Science, 2024

In the digital era, Artificial Intelligence (AI) is revolutionizing education by introducing inno... more In the digital era, Artificial Intelligence (AI) is revolutionizing education by introducing innovative tools that enhance learning experiences, personalize educational pathways, and optimize curriculum design. This article explores the transformative impact of AI-powered educational tools on modern learning environments, focusing on their ability to provide adaptive learning, virtual tutoring, and intelligent content delivery. It highlights the advantages of AI in fostering interactive and engaging educational experiences, offering real-time feedback, and enabling data-driven insights for improved learning outcomes. The challenges of AI integration, including ethical considerations, privacy concerns, and the evolving role of educators, are also examined. By presenting case studies of successful AI implementations and analyzing future trends, this study provides a comprehensive understanding of AI's role in reshaping education and offers insights into the potential of AI to create equitable and efficient learning systems for diverse learners worldwide.

Research paper thumbnail of A Fuzzy Logic Framework for Modeling Climate Change Impacts on Ecosystems

International Journal of Innovative Science and Research Technology, 2024

Climate change poses significant challenges to ecosystems, necessitating robust models to predict... more Climate change poses significant challenges to ecosystems, necessitating robust models to predict and manage its impacts. This paper presents a novel fuzzy logic framework designed to model the complex and uncertain interactions between climate change variables and ecosystem responses. The proposed framework leverages fuzzy logic's ability to handle imprecise and ambiguous data, providing a more nuanced understanding of how temperature fluctuations, precipitation changes, and extreme weather events affect biodiversity, species distribution, and ecosystem services. By integrating ecological knowledge with fuzzy inference systems, the model offers a flexible tool for simulating various climate scenarios and their potential effects on ecosystems. Case studies demonstrate the framework's applicability across different ecosystems, highlighting its potential to inform conservation strategies and policymaking. This work contributes to the growing body of research on climate change modeling, offering a powerful approach to anticipating and mitigating the adverse effects of environmental changes on natural habitats.

Research paper thumbnail of Artificial Intelligence 2050: Predictions, Challenges, and Innovations

International Journal of Research Publication and Reviews, Sep 12, 2024

This article explores the future of Artificial Intelligence (AI) in 2050, offering key prediction... more This article explores the future of Artificial Intelligence (AI) in 2050, offering key predictions, innovations, and challenges that will shape its development and impact. It begins with an overview of AI's evolution and emphasizes the importance of forecasting AI's trajectory to guide responsible development. Predictions for AI in 2050 envision its integration across industries such as healthcare, education, transportation, and environmental management, while innovations in machine learning, quantum computing, natural language processing, and AI hardware will drive these transformations. The article highlights the technological limitations, ethical and legal concerns, economic implications, and social resistance that AI development must navigate, as well as the need for global policy and regulatory frameworks to balance innovation with oversight. Further, the role of AI in international relations is examined, particularly in the context of global competition and security. Innovations in interdisciplinary approaches to AI are expected to foster new solutions for complex global challenges. Ultimately, the article stresses the importance of collaboration among stakeholders to ensure that AI's future serves the common good. By 2050, AI has the potential to profoundly enhance human capabilities and address global challenges, but its success will depend on responsible development, regulation, and ethical application.

Research paper thumbnail of Revolutionizing Human-Machine Interaction: Fuzzy Logic in interface Design

International Journal of Research Publication and Reviews, 2024

The integration of fuzzy logic into interface design has the potential to revolutionize human-mac... more The integration of fuzzy logic into interface design has the potential to revolutionize human-machine interaction by offering more intuitive, adaptive, and human-centric experiences. Traditional interfaces often rely on rigid, binary systems that struggle to accommodate the nuances of human behavior and decision-making. Fuzzy logic, with its ability to handle uncertainty and approximate reasoning, provides a powerful tool for bridging this gap. This paper explores the application of fuzzy logic in interface design, highlighting its ability to create more flexible and responsive systems that better align with human cognitive processes. By enabling interfaces to interpret and respond to ambiguous or imprecise inputs, fuzzy logic enhances the adaptability and efficiency of human-machine interaction. This approach not only improves user satisfaction but also opens new avenues for innovation in the development of intelligent systems capable of more natural and effective communication with users. The findings suggest that incorporating fuzzy logic into interface design is a critical step toward advancing the field of human-machine interaction, leading to more harmonious and productive collaborations between humans and machines.

Research paper thumbnail of Enhancing IoT Efficiency: The Role of Fuzzy Logic in Smart Decision Making

Research paper thumbnail of Smart Greenhouse Illumination: Fuzzy Logic Control through IoT Integration

Research paper thumbnail of Application of Fuzzy Logic Model to Save Energy in LED Lighting Systems in Office Spaces

Lecture notes in networks and systems, 2024

Research paper thumbnail of Enhancing Node Selection in Blockchain-Enabled Edge Internet of Things (IoT): A Fuzzy Logic Approach for Improved Performance

2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

Research paper thumbnail of Designing Climate Control with Fuzzy Logic for Smart Home Systems

Research paper thumbnail of Improving the Mechanism of Using the Price Factor in the Effective Regulation of Agricultural Production on the Basis of Fuzzy Logic

International Journal of Innovative Technologies in Economy, Dec 13, 2020

When studying the role of the price mechanism in the sustainable development of the economy, in a... more When studying the role of the price mechanism in the sustainable development of the economy, in accordance with the requirements of the modern economic mechanism, first of all, attention should be paid to the issue of state regulation of prices. The attitude to state regulation of prices is ambiguous. Existing control over the implementation of state regulation of the prices of a group of products based on the social protection of the population and the economic interests of the state, and economic legitimacy is sometimes perceived as a violation of economic democracy. However, the analysis of the role of the price factor in economic development proves that this idea has no basis. Thus, it is not possible to make accurate calculations so that the price of the product can change at any time for various reasons. Therefore, it is advisable to approach these calculations on the basis of fuzzy logic.

Research paper thumbnail of Determining Costs with Fuzzy Logic: The Example of a Construction Company

Lecture notes in networks and systems, 2023

Research paper thumbnail of Evaluation of the Effectiveness of Integration Processes in Production Enterprises Based on the Fuzzy Logic Model

Advances in intelligent systems and computing, 2021

Research paper thumbnail of Analysis of the Volume of Costs and Profits Under Conditions of Uncertainty Using the Method of Fuzzy Logic

Advances in intelligent systems and computing, 2023

Research paper thumbnail of Prospects for the Development of Transport Logistics and a Fuzzy Logic Model of the Strategic Goals of the Logistics System of Azerbaijan

Research paper thumbnail of Analysis of Intelligent Interfaces Based on Fuzzy Logic in Human-Computer Interaction

Lecture notes in networks and systems, 2023

Research paper thumbnail of Application of a Fuzzy Logic Model for Optimal Assessment of the Maintenance Factor Affecting Lighting in Interior Design

Lecture notes on data engineering and communications technologies, 2022

Research paper thumbnail of Application of Fuzzy Logic Model for Daylight Evaluation in Computer Aided Interior Design Areas

Advances in intelligent systems and computing, 2021

Research paper thumbnail of Determination of Correct Lighting Based on Fuzzy Logic Model to Reduce Electricity in the Workplace

Uluslararası Avrasya ekonomileri konferansı, Sep 1, 2020

Today, awareness of electrical systems is almost one of our main needs. Reducing our energy consu... more Today, awareness of electrical systems is almost one of our main needs. Reducing our energy consumption by ensuring energy efficiency in such a widely used system provides savings that will affect the economy and the life of energy sources, both economically and in terms of energy efficiency. The difference between electricity generation and the amount of electricity required in the last few years has been a cause for concern. In recent years, due to the increase in electricity prices, the steering committees of various organizations have begun to consider various ways to reduce electricity prices, and in this regard, attention should be paid to the basic lighting system. By applying healing methods or using new technologies without reducing production and switching to more efficient use of energy. Improving energy efficiency is more economical than investing in new energy sources. Energy saving in lighting is to provide good lighting conditions without compromising the quality of light. It is possible to achieve the same level of lighting with energy consumption, as good lighting will be provided by more efficient lighting elements. With efficient lighting, there will be less electricity consumption and eye health will be protected. This article discusses the application of a lighting system based on a fuzzy logic model to reduce electricity costs in offices.

Research paper thumbnail of Application of Fuzzy Logic Model for Correct Lighting in Computer Aided Interior Design Areas

Advances in intelligent systems and computing, Jul 11, 2020

Proper lighting is one of the important things in architectural design areas. Designers use a var... more Proper lighting is one of the important things in architectural design areas. Designers use a variety of software to design the interior of any area (e.g. AutoCAD, 3DsMax, SketchUp, Revit, etc.). Typically, designers determine the location lighting system and the number of bulbs prepared by the program. Problems arise when the design space provided by the designer is properly illuminated. To avoid these problems, it is necessary to pay attention to the following: 1. LUX definition by location, 2. Calculation of reflection coefficients according to color tones, 3. Identification of chandeliers and lamps, 4. Calculation of light flow (Lumen), 5. Calculation of bright intensity, 6. Calculation of the room index, 7. Lighting account. This article explores how to properly and efficiently illuminate daylight and artificial illumination in the interior design of 3Ds MAX according to a fuzzy logic model based on color tones. Based on the values obtained, calculations were made in the Fuzzy Toolbox section of Matlab and the results were obtained with lighting suitable for the interior design developed by 3DsMax.

Research paper thumbnail of 4. INTERNATIONAL BAKUSCIENTIFIC RESEARCH CONGRESS (FULL-TEXT BOOK)

IKSAD https://www.scienceazerbaijan.org/\_files/ugd/614b1f\_41c96fd016bd49dcbab4d2002b337282.pdf, 2022

Education: Art Education | Adult and Continuing Education | Business Education | Counselor Educat... more Education: Art Education | Adult and Continuing Education | Business Education | Counselor Education | ESL/TESL | E-learning | Education and Research Management | Early Childhood Education | Elementary Education | Educational Administration | Education Policy and Leadership | Global Issues in Education and Research | Health Education | Higher Education | Primary Education | Teacher Education | Pedagogy.

Engineering: Architecture Engineering | Geotechnical Engineering | Automobile | Advanced Structural Materials | Bioengineering and Biomedical Engineering | Bridge and Tunnel Engineering | Civil Engineering | Concrete technology | Coastal Engineering | Electronics Engineering | Electrical Materials Electromagnetics | Engineering Management | Geotechnical Engineering | Green Building Materials and Technology | Hydraulic and Hydro-Power Engineering | Hydraulic Engineering | High-rise Structure and Large-Span Structure | Municipal Engineering | Nanotechnology and Civil Engineering | New Technology | Mechanical Engineering | Method and Technique in Civil Engineering | Marine Structures | Road, Bridge, and Railway Engineering | Structural Mechanics | Traffic Engineering | Transportation Engineering | Transportation Safety | Water Resources | Welding and Powder Technology | Theory and Advanced Technology of Engineering Structure.

Social Sciences: Accounting | Banking | Economics | Entrepreneurship | Finance | Marketing | Supply Chain | Logistics | Transportation | Tourism | Hospitality | Health Care | Human Resource | Government | Administration | Law | Arts | Culture | History | Islamic | Language | Counseling | Humanities | Philosophy | Psychology | Politics.

Technology: Applied Sciences | Computational Intelligence | Computer and Information Technology | Computer Aided Design | Digital Image Processing | Animation | Information Technology | Engineering Technology | Environmental Science | Power and Energy Engineering | Architecture | Civil Engineering | Mechanical | Electrical | Mechatronics | Industrial Automation | Electronics instrumentation | Photonic Technologies | Telecommunication Services and Applications | Wireless Networking | Optical Communications | Network Security | Artificial Intelligence | Bioinformatics | Digital Signal Processing (DSP) | Speech and Audio Coding | Software Engineering | Grid and Cluster Computing | Methodologies for Robotics and Automation | Modeling and Simulation of Mechatronic Systems | Computer Control | Satellite & Space Communications | Seismic Data Processing | Signal Processing Systems | Soft Computing | Speech and Image Processing Systems | Web Engineering | Intelligent Manufacturing Systems | Kinematics | Mechanics and Mechanism Design | Machine Design | Manufacturing System Architecture | Design and Performance | Material Science | Mechanical Metallurgy | Medical Robots and Systems | Sensor Design | Underwater Robotics.

Management: Business Intelligent | Business Management | Customer Relation Management | Category Management | City Management | Business Management | Energy management | E-Business | Human Resources | Information Management | Risk management | Strategic Management | Technology Management | Transportation Management | Logistics Management.

Health: Medical Sciences, Nursing, Dentristry

Agriculture: Agricultural machinery, Biyosystems, Agricultural Sciences, Horticulture, Soil, Plant protection, Agricultural economics , Landscape architecture, Zootechnical, Field crops, Food education and research

Research paper thumbnail of 2nd INTERNATIONAL BAKU CONFERENCE ON SCIENTIFIC RESEARCH

ABSTRACT BOOK, 2021

2 N D I N T E R N A T I O N A L B A K U C O N F E R E N C E O N S C I E N T I F I C R E S E A R C... more 2 N D I N T E R N A T I O N A L
B A K U C O N F E R E N C E O N
S C I E N T I F I C R E S E A R C H
April 28-30, 2021
Baku Odlar Yurdu University, Azerbaijan
ABSTRACT BOOK
EDITORS
Assoc. Prof. Dr. Rahib İMAMGULİYEV
Elvan CAFEROV
ISBN: 978-605-70554-7-7