Deep Learning Model for Early Weed Detection in Agriculture Application

Abdullah Ali; Nouran; Ali Mohammad

doi:https://doi.org/10.54216/IJAACI.020103

International Journal of Neutrosophic Science | 2023

Treatment Option Selection for Medical Waste Management under Neutrosophic sets

Due to the possible threat, it poses to human health and the ecosystem, healthcare waste (HCW) handling and disposal are of major concern, especially in poor nations. Many countries are now turning to technology innovations as viable waste management solutions. Nevertheless, is still difficult for governments to choose an appropriate technology and an efficient waste management technique for the disposal of HCW. The difficulty of estimating these numbers inaccurately is addressed by using a neutrosophic set. The best alternative to HCW is hard to choose, and the process of doing so may be thought of as a multi-criteria decision-making (MCDM) issue. In this study, we propose a neutrosophic TOPSIS approach for assessing potential HCW alternatives. The weights of the requirements are calculated TOPSIS method. The best HCW alternative is assessed using the suggested approach.

groups

Olivia Altamirano Guerrero mail -

Ruth Hernández Calderon mail -

Lina Espinoza Neri mail -

Maha Ibrahim mail

link https://doi.org/10.54216/IJNS.210113

Volume & Issue

Vol. Volume 21 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

Neutrosophic MABAC Method for Solutions of Ecotourism Centers (EC) in COVID-19

The Covid-19 epidemic has had devastating effects on the economy and generated many issues for enterprises worldwide. As a result, it is imperative that during periods of pandemic, options be made available to help impacted companies recover and enhance their operations. One industry that has encountered this issue and has had to overcome substantial obstacles is ecotourism centres.  In the first part of this study, we offer several valuable and realistic action strategies for ecotourism centres. Tourism professionals, faculty members, executives, proprietors, and some staff from eco-tourism centres got together for brainstorming meetings to come up with implementation plans. The stated action plans are prioritised based on four factors.  One MCDM approach, known as Multi-Attributive Border Approximation area Comparison (MABAC), uses distance and area-based computing algorithms to systematically represent a complicated choice. In this study, we suggest a bipolar neutrosophic MABAC that incorporates the three possible memberships truth, indeterminate, and false into a single set. Using a bipolar neutrosophic language scale, a panel of specialists was asked to rate the outcome values of requirements and options. The major output of the suggested approach is the distances of options from the Border Approximation Area of bipolar neutrosophic MABAC.

groups

Patricio Jaramillo Guerrero mail -

Edwin Omaña Duran mail -

María G. Balarezo García mail -

Mansur Eshov mail

link https://doi.org/10.54216/IJNS.210114

Volume & Issue

Vol. Volume 21 / Iss. Issue 1

Details open_in_new

Financial Technology and Innovation | 2023

Utilizing logistics Information Management System in logistic companies

Great advancement occurring in technology and information flow has already made myriads of changes in all industries of the world economy especially in logistics and supply chain sector. Some said this is a result of true contemporary globalization happening in the world while others think huge increasing demand in service and manufacturing have brought all these changes. Simultaneously, In the moment of fast development of information, with the widely-use of computers, the advancement in science and technology, and the continuous growth of IT techs and business, programming of information flow has become a real trend in world economy, nowadays. A fast data transfer can be taken a fruit of information technology in supply chain management eventually resulting in increased cooperation. Information technology helps to reconstruct the entire business system set up to achieve higher service levels and lower inventory and lower supply chain costs. So, establishing a logistics management information system is an important means for all logistic companies to improve their logistics eﬃciency. This article focuses the role of programming of information flow in logistic sector.

groups

Gafurov Ubaydullo mail -

Ismoilov Narimonjon mail

link https://doi.org/10.54216/FinTech-I.020102

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

Implementing sustainable development goals in small business entities

This article is here to illustrate the importance of small business in Uzbekistan’s economy. With checking and analyzing how small business sectors’ role in the national economy, we can say that there are still myriads of actions should be taken really. Among such actions, sustainable development goals (SDGs ) should be a real trend and we already can see its seeds in each part of the economic activities of SBE (small business entities).

groups

Gafurov Ubaydullo mail -

Ismoilov Narimonjon mail

link https://doi.org/10.54216/JSDGT.020105

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

MBJ-Neutrosophic Positive Implicative LI-ideals, Associative LI-ideals, and Fantastic LI-ideals

The MBJ-Neutrosophic positive implicative LI-ideals, the MBJ-Neutrosophic associative LI-ideals, and the MBJ-Neutrosophic fantastic LI-ideals are all introduced in this study. Of all these ideals, several their qualities and corresponding conditions were explored. We have demonstrated how every positive implicative MBJ-Neutrosophic LI-ideal evolved into an MBJ-Neutrosophic LI-ideal, MBJ-Neutrosophic implicative LI-ideal, and MBJ-Neutrosophic fantastic LI-ideal. Additionally, it was demonstrated that any MBJ-Neutrosophic fantastic LI-ideal is a MBJ-Neutrosophic associative LI-ideal.

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Amarendra Babu V. mail -

Abida Begum K. mail -

Siva Naga Malleswari V. mail

link https://doi.org/10.54216/IJNS.210208

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2023

Financial Supply Management Mechanisms of Joint Stock Companies Based on Foreign Experiences

Through the article, the financial situation of some large joint-stock companies in the world is analyzed in depth, and based on the collected data, some mechanisms and methods of improving the financial support of joint-stock companies in the Republic of Uzbekistan are presented, and some suggestions and explanations are given about ways to use them effectively. developed. In the conclusion and suggestions part of the article, we will see some explanations for the shortcomings encountered in the joint-stock companies of our country and their elimination.

groups

Burxanov Aktam mail -

Abduboqiyev Muxammad mail

link https://doi.org/10.54216/AJBOR.100106

Volume & Issue

Vol. Volume 10 / Iss. Issue 1

Details open_in_new

Prospects for Applied Mathematics and Data Analysis | 2023

On Overview of Neutrosophic and Plithogenic Theories and Applications

We present this research to all researchers and scholars who have realized the existence of indeterminacy in all data, through the results they obtain and the values that are not accurate enough and that may cause loss to the systems and facilities under study, and we will present through it the emergence, foundations and development of Neutrosophic theories and their applications for more than two decades (1995- 2023) since it was defined and studied, along with its applications, in order to be able to present new studies and research that keep pace with the great scientific development that our contemporary world is witnessing, through the use of research that has been published by the professionals and found on the attached open links.

groups

Florentin Smarandache mail -

Maissam Jdid mail

link https://doi.org/10.54216/PAMDA.020102

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2023

A Multi-level Fusion System for Intelligent Capture and Assessment of Student Activity in Physical Training based on Machine Learning

To record and evaluate students’ physical education (PE) class participation, this study proposes using machine learning aided physical training framework (ML-PTF). Improve student achievement in PE with the help of the Multi-level Fusion System that employs machine learning strategies. The system integrates sensor data, video data, and contextual data to deliver a holistic and precise evaluation of student engagement. This study’s simulation analysis shows that the ML-PTF improves the reliability of evaluating universities’ PE programs. A important reference path and paradigm for advancing tertiary-level PE for graduates, the multi-level fusion system also provides an investigation of information technology and language education integration. The experimental findings demonstrate that the ML-PTF is superior to other approaches in terms of learning rate, f1-score, precision, and probability, as well as student engagement, involvement, and recognition accuracy.

groups

Mustafa Altaee mail -

A. Jawad mail -

Mohammed Abdul Jalil mail -

Sanaa Al-Kikani mail -

Ahmed Oleiwi mail -

Hatıra Günerhan mail

link https://doi.org/10.54216/JISIoT.090101

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

Prospects for Applied Mathematics and Data Analysis | 2023

Combining regular solutions of the Schaefer -Ignaczak thermodynamical behaviors relating to the first plane state of elastic strain of the micropolar body subjected to temperature field

The importance of results of this paper consist in supplying new analytical method for solving the Ignaczak tensorial equations, governing the thermodynamical plane state of small elastic strains of the homogeneous, isotropic, micropolar elastic solid of 5 material constants of Eringen-Nowacki type, which shortly called  2D (E-N:5) (Iron plates, copper plates, aluminum plates, .. etc.).  The paper covers the mathematical model of the first plane state of small elastic strains of micropolar homogeneous and isotropic solid, of five material constants, subjected to temperature field, mathematically proposed by Eringen and Nowacki, and shortly called 2D (E-N:5).  In paper, for the 2D (E-N:5) considerable body, we generalize the Schaefer vector method to: I) The Traditional Description of the 2D (E-N:5) considerable body, II) The Ignaczak Description of the 2D (E-N:5) considerable body. Subsequently, these results have important applications in material resistance, plate theory, industry ….etc.    

groups

Mountajab Al-Hasan mail

link https://doi.org/10.54216/PAMDA.020103

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2022

Deep Learning Model for Early Weed Detection in Agriculture Application

One of the current issues in agriculture is the lack of mechanized weed management, which is why weed detection technologies are so crucial. Detecting weeds is useful because it may lead to the elimination of pesticide usage, which in turn improves the surroundings, human health, and the sustainability of agriculture. As novel algorithms are developed and computer capacity increases, deep learning-based approaches are gradually replacing classic machine learning methods for real-time weed detection. Mixed machine learning designs, which combine the best features of existing approaches, are becoming more popular. So, the goal of this study, present the CNN model for early weed detection. The CNN model is applied to the weed dataset. The CNN model achieved 96% accuracy.

groups

Abdullah Ali Salamai mail -

Nouran Ajabnoor mail -

Ali Mohammad Khawaji mail

link https://doi.org/10.54216/IJAACI.020103

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new