Enabling Metaheuristics with Deep Learning based Resource Allocation in Unmanned Aerial Vehicles Wireless Networks

Ravindra Raman; J. Anitha; Priya; C.; R.

doi:https://doi.org/10.54216/JISIoT.110208

Financial Technology and Innovation | 2023

The effect of analysis using financial ratios in improving the quality of financial reports

The aim of the study was to demonstrate the impact of analysis using financial ratios in improving the quality of financial reports. To achieve the purpose of the study, a questionnaire was prepared consisting of (36) questions, including (28) questions to measure the independent variable (financial ratios) and (8) questions to measure the dependent variable (improving the quality of financial reports). The questionnaire was distributed electronically, and (47) questionnaires were obtained of the respondents' responses, all of them were subjected to analysis, and a linear regression test was used to test the hypotheses. The study reached several results, including There is a statistically significant effect of the analysis using financial ratios as a whole in improving the quality of financial reports. There was also a significant effect of analyzing using financial ratios separately (capital structure ratios, profitability ratios, liquidity ratios, turnover ratios, and market ratios) in improving the quality of financial reports. The study also found a set of recommendations, including the need for responsible authorities: to explain the importance of using financial analysis methods through financial ratios to evaluate the performance of enterprises and identify their strengths and weaknesses. And the need to conduct appropriate training and courses for workers in using financial analysis methods in general and analysis using ratios in particular because It has a role in improving the quality of financial reports.

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Hasan Flayyeh Al Qtaish mail -

Mohammed Hassan Makhlouf mail

link https://doi.org/10.54216/FinTech-I.030205

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2024

Investigating the Impact of Artificial Intelligence on Digital Marketing Tactics Strategies Using Neutrosophic Set

The burgeoning proliferation of Artificial Intelligence (AI) technologies has engendered a transformative shift in various industries, and digital marketing is not an exception to this trend. The thrust of this paper is to explore, analyze, and conceptualize the multi-dimensional impact of AI on digital marketing strategies using Neutrosophic set. By employing statistical mechanics and stochastic models, we aim to delineate the underlying mechanisms that facilitate the operational synergy between AI algorithms and marketing frameworks in the light of Neutrosophic analysis. We invoke the concept of AI-Enabled Marketing Efficiency (AIME), which we define as AIME =(ROI{AI} - ROI{Traditional} )/(Time{AI}  ) , to assess the quantitative aspects of this interaction. Our empirical findings suggest that AI integration could enhance marketing campaign effectiveness by approximately 27% (p < 0.05) while reducing human-led execution time by 33%. We further discuss the ethical implications of AI-driven decision-making in digital marketing, such as the potential for reinforcing societal biases and the abuse of personal data. Artificial Intelligence has been an area of extensive research and development, permeating through diverse sectors including healthcare, finance, and now more prevalently, digital marketing. While the application of AI in digital marketing is not a nascent concept, the nuanced interplay between the two remains largely underexplored. We leverage neutrosophic set theory as a powerful analytical tool to investigate the transformative effects of Artificial Intelligence on various digital marketing tactics and strategies.

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Astanakulov Olim Tashtemirovich mail -

Muhammad Eid Balbaa mail -

Foziljonov Ibrohimjon mail -

Nilufar Batirova mail

link https://doi.org/10.54216/IJNS.230315

Volume & Issue

Vol. Volume 23 / Iss. Issue 3

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International Journal of Neutrosophic Science | 2024

q-rung square root interval-valued neutrosophic sets with respect to aggregated operators using multiple attribute decision making

This paper introduces the concept of multiple attribute decision making (MADM) using q-rung square root interval valued neutrosophic sets (q-rung SRIVNS). The interval valued neutrosophic set (IVNS) and the q-rung square root neutrosophic set (q-rung SRNS) deals with the q-rung SRIVNS. The purpose of this article is to provide an analysis of several aggregating operations. In this article, we discuss a novel idea for the q-rung square root interval valued neutrosophic weighted averaging (q-rung SRIVNWA), q-rung ortho square root interval valued neutrosophic weighted geometric (q-rung SRIVNWG), generalized q-rung SRIVN weighted averaging (q-rung GSRIVNWA) and generalized q-rung SRIVN weighted geometric (q-rung GSRIVNWG). Using Euclidean distances and Hamming distances is illustrated with examples. These sets will be subjected to various algebraic operations in this communication. By doing this, models will be more accurate and will be closed to an integer q. The four most important factors for courier services in India are reliability, turnaround time, payment options, and tracking capabilities. Expert judgments and criteria will determine the most appropriate options. Furthermore, several proposed and current models are compared to demonstrate their reliability and utility. A fascinating and intriguing conclusion can be drawn from the study.

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C. Sivakumar mail -

Mowafaq Omar Al-Qadri mail -

Abdallah shihadeh mail -

Ahmed Atallah Alsaraireh mail -

Abdallah Al-Husban mail -

P. Maragatha Meenakshi mail -

N. Rajesh mail -

M. Palanikumar mail

link https://doi.org/10.54216/IJNS.230314

Volume & Issue

Vol. Volume 23 / Iss. Issue 3

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International Journal of BIM and Engineering Science | 2023

Impact of BIM Implementation in Engineering Projects in Syria

Engineering projects are often exposed to problems during their design and implementation, due to the lack of availability and accuracy of sufficient information, the failure to set an accurate timetable and budget, and the lack of cooperation and coordination between team members. Therefore, a technology was found to help solve these problems, which is building information modeling. It is one of the most important developments in the field of engineering in general, and the second generation of model design tools is the result of decades of research and development. Through it, one or more virtual models were created to support the design process through all its stages, and it is a simulation of the reality of the real project. In our research, we will discuss the most important problems that engineers face when working on a project, the importance of applying this technology and the benefits it has on the project and its parties, a simplified explanation of it, its dimensions, the stages that the project goes through, and the most important problems that we face when applying it. Building quantities will be studied in the traditional way and compared with quantities calculated through building information modeling technology.

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Lina Alshibly mail -

Mohammad shaban mail

link https://doi.org/10.54216/IJBES.070204

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Fusion: Practice and Applications |

Video Violence Detection using Optical Flow-Based Feature Selection and Violence Guard FrIFrO Inception V3 Algorithm with Mosaicking

Violence in recent years pose a biggest threat to the society which need to be addressed in all means. Video based Violence detection is very tough to be detected when the person or things in motion. This cutting-edge, video violence detection system uses the most advanced Violence Guard Freeze-In Freeze-Out Inception V3(VGFrIFrOI3) deep learning model in conjunction with optical flow-based characteristics. The Mosaicking process done in the pre-processing step improvises the algorithm performance through the process of space search minimization. By using a wide range of video clips that depict both violent and non-violent situations, Modern security and crime prevention techniques are more important than ever in light of the growing worries around violence in the world. The necessity of this research is underscored by statistical analysis, which shows that crimes related to violence cause almost 1.3 million lives globally each year. Through the application of recent development in computer vision and neural network algorithms, this Proposed method provides a proactive way to protect public areas and greatly improve safety worldwide.

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International Journal of Neutrosophic Science |

The Stability Analysis for a System of Certain Difference Equations

The paper deals with the study of asymptotic behaviour, stability and global stability for the following system of certain difference equations given the form, x_(n+1)=(a^α x_n)/(b(x_n y_n z_n )+c^(α+1) ),y_(n+1)=(d^β y_n)/(e(x_n y_n z_n )+f^(β+1) ),z_(n+1)=(h^γ z_n)/(k(x_n y_n z_n )+l^(γ+1) ) where n=0,1,2,… and parameters a,b,c,d,e,f,h,k,l∈(0,∞). Using certain conditions the stable and unstable state are studied for solutions of above system of difference equations. To prove the results examples are provided.

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International Journal of Neutrosophic Science |

The Stability Analysis for a System of Certain Difference Equations

The paper deals with the study of asymptotic behaviour, stability and global stability for the following system of certain difference equations given the form, x_(n+1)=(a^α x_n)/(b(x_n y_n z_n )+c^(α+1) ),y_(n+1)=(d^β y_n)/(e(x_n y_n z_n )+f^(β+1) ),z_(n+1)=(h^γ z_n)/(k(x_n y_n z_n )+l^(γ+1) ) where n=0,1,2,… and parameters a,b,c,d,e,f,h,k,l∈(0,∞). Using certain conditions the stable and unstable state are studied for solutions of above system of difference equations. To prove the results examples are provided.

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International Journal of Neutrosophic Science | 2024

Single Valued Neutrosophic Sets for Analysis Opinions of Customer in Waste Management

This study presents an analysis of consumer opinions on waste medicine management. The study explores consumers' concerns, preferences, and suggestions regarding correctly disposing unused or expired medications. The analysis shows the key points that emerged from consumer opinions, including environmental impact, public health and safety, accessibility and affordability, education and awareness, pharmaceutical industry responsibility, convenience and ease of disposal, privacy and confidentiality, community engagement, alternatives to disposal, extended producer responsibility, international collaboration, technology solutions, environmental stewardship, and government regulation and support. This study shows the importance of understanding consumer perspectives in developing effective waste medicine management strategies prioritizing environmental sustainability, public health, and consumer satisfaction. We used the multi-criteria decision-making (MCDM) methodology to deal with these criteria. We gathered 15 criteria concerned with waste medicine management. We used the DEMATEL method to show the criteria weights and relationships between criteria. The DEMATEL method is integrated with the single-valued neutrosophic set to deal with uncertain data. The results show the environmental impact has the most significant weight.

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Mona Gharib mail -

Ahmed E. Fakhry mail -

Ahmed M. Ali mail -

Ahmed Abdelhafeez mail -

Hussam Elbehiery mail

link https://doi.org/10.54216/IJNS.230316

Volume & Issue

Vol. Volume 23 / Iss. Issue 3

Details open_in_new

Fusion: Practice and Applications |

Video Violence Detection using Optical Flow-Based Feature Selection and Violence Guard FrIFrO Inception V3 Algorithm

Violence in recent years pose a biggest threat to the society which need to be addressed in all means. Video based Violence detection is very tough to be detected when the person or things in motion. This cutting-edge, video violence detection system uses the most advanced Violence Guard Freeze-In Freeze-Out Inception V3(VGFrIFrOI3) deep learning model in conjunction with optical flow-based characteristics. The Mosaicking process done in the pre-processing step improvises the algorithm performance through the process of space search minimization. By using a wide range of video clips that depict both violent and non-violent situations, Modern security and crime prevention techniques are more important than ever in light of the growing worries around violence in the world. The necessity of this research is underscored by statistical analysis, which shows that crimes related to violence cause almost 1.3 million lives globally each year. Through the application of recent development in computer vision and neural network algorithms, this Proposed method provides a proactive way to protect public areas and greatly improve safety worldwide.

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Journal of Intelligent Systems and Internet of Things | 2024

Enabling Metaheuristics with Deep Learning based Resource Allocation in Unmanned Aerial Vehicles Wireless Networks

Unmanned aerial vehicle (UAV) network offers a variety of applications in public safety, disaster management, advertising and broadcasting, overload situation, etc. Due to the dynamic characteristics of MU, it is challenging to provide robust transmission services to mobile users (MU). Resource allocation (RA), including sub-channel, serving user, and transmit power, is a crucial problem; also, it is critical to enhance the coverage and energy efficiency of UAV-enabled communication protocol. Furthermore, system resources are limited (for example, spectrum, and transmission power) and UAV transmission coverage and on-board energy are limited. In order to meet the QoE of any user with limited UAV energy and limited resource system, we jointly enhance UAV trajectory, user communication scheduling, and bandwidth allocation and transmit power to satisfy user QoE requirements and increase energy efficiency. Thus, the study proposes a new mud ring optimization with deep belief network-based resource allocation scheme (MRODBN-RAS) technique for UAV-enabled wireless networks. The proposed MRODBN-RAS approach focuses on the effectual accomplishment of the computational and energy-effective decision. Besides, the MRODBN-RAS technique assumed the UAV as a learning agent by forming RA decisions as actions. In addition, the MRODBN-RAS technique designed a reward function to reduce the weighted resource utilization. The MRODBN-RAS technique uses DBN model with hyperparameter tuning using MRO algorithm to allocate the resources. The design of the MRO algorithm helps in the optimal selection of the hyperparameter related to the DBN model. The simulation results of the MRODBN-RAS method are examined under various measures. The extensive comparison study highlighted the better performance of the MRODBN-RAS approach over existing techniques.

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Ravindra Raman Cholla mail -

J. Anitha Josephine mail -

Priya N. mail -

C. Anuradha mail -

R. Kavitha mail

link https://doi.org/10.54216/JISIoT.110208

Volume & Issue

Vol. Volume 11 / Iss. Issue 2

Details open_in_new