Deep Learning Framework of Convolutional Neural Network (CNN) and Attention CNN for Early Diagnosis of Alzheimer's Disease

Hoda K.; Ahmed; Nariman A.

doi:https://doi.org/10.54216/IJAACI.030201

International Journal of BIM and Engineering Science | 2023

The Integration of Virtual Design and Construction (VDC) With the Fourth Dimension of Building Information Modeling (4D BIM)

The aim of the research is to shed light on the relationship between the concepts of Virtual design and construction (VDC) and building information modeling (BIM), and in particular to identify and evaluate the potential benefits of using a methodology based on the integration of the fourth dimension of (4D BIM) with virtual design and construction (VDC) and its impact on the preparation of the schedule and project planning and construction simulation. The research reviews a case study of "Pharmacists Syndicate building - Tartous branch", the building model (3D BIM) was created in Autodesk Revit 2020 ®, then the model clash was detected, reviewed and resolved, and the quantities were calculated on the Autodesk Navisworks Manage 2020 ® program, and the time periods for each activity were estimated according to the quantities, workshop performance rates and teams. Finally, time schedule was created in Bentley Synchro PRO 2020® software, the elements of the schedule was linked to the (3D BIM) model and the resources needed to implement each activity, then the construction simulation of the model was performed. The results showed the importance of (4D BIM) and the use of software in accurate modeling of all building elements and solving design problems before construction, which in turn has a significant impact on reducing time and cost of the project implementation. Model-based calculation of quantities helps to accurately estimate resources and times for activities. The importance of scheduling within a virtual environment based on the (3D BIM) model lies in the ability to digitally plan all aspects of a construction project, create and discuss different work sequences, in addition to managing cost, schedule, earned value, risk management, site integrity, logistical planning and mega-project management before and during implementation. However, we cannot only rely on software and technologies, but there must be an integrated methodology that organizes construction operations, and here comes the role of (VDC) Virtual design and construction as an innovative implementation strategy that adopts (BIM) building information modeling. As the success of any project depends greatly on the efficiency of the management and organization of its operations to achieve its desired goals.

groups

Nagham Salman mail -

Muna Hamadeh mail

link https://doi.org/10.54216/IJBES.070101

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2023

A Decentralized and Cooperative Methodology For Organ Donation Management Based on Ethereum Blockchain

The digital world is a vast and ever- evolving ecosystem that encompasses a wide range of technologies, applications, and platforms. Blockchain has played a significant role in bringing the healthcare business forward. Blockchain may significantly enhance the traceability, efficiency, and safety of confidential data such as organ donation and transplantation, as well as the administration of electronic health data. This paper presents a secure and efficient web application for organ donation that uses private Ethereum blockchain technology to create a proof of authority (PoA) model for this consortium and also to automate a number of processes, including matching donors and recipients. The fairness of all the entities—patient, donor, hospital, or insurance company—involved in the system is guaranteed without the involvement of a third party. The security and privacy of the patient’s details are protected. The logic of the application is implemented using smart contracts and deployed in Ganache. It depicts various interactions and transactions among the participants, thus helping to automate these processes, promote transparency, improve efficiency, and minimise service time.

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P. Sheela Rani mail -

Harini M. mail -

Nandhitha N. mail -

Teena A. Naahz G. mail

link https://doi.org/10.54216/JCHCI.060101

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2023

Measuring the Coverage of Assembly Elections and Covid 19 During the Pandemic in India

India is still facing the aftermath of the second wave of covid 19. However, in between the first wave and second wave India witnessed long and tortuous assembly elections in four states of Southern India. This paper explores the coverage of covid 19 and assembly elections in the states of Kerala and Tamil Nadu in two of the most circulated newspapers Malayala Manorama and Mathrubhumi from Kerala and Dinamalar and Dinathanthi from Tamil Nadu. E-papers from February 26, 2021- April 6, 2021, are collected for analysis. 7466 news articles are analyzed to find out the coverage of Covid 19 and assembly elections. The study questions the social responsibility of media platforms that set the media agenda in favor of assembly elections and hence averting the covid 19 news.

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Malini Srinivasan mail -

Jishnu Dineshan mail -

Gondi Surender Dhanunjay mail -

Shamala Ramappa mail

link https://doi.org/10.54216/JCHCI.060102

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2023

Proposal for a Project Management Office "PMO" in the Public Establishment of Housing in Syria

In today's rapidly changing world where change is the master of the situation, the rapid development of project management practices in the business world has become a necessity rather than an option. Organizations operate in a competitive environment and for this reason they look for what distinguishes them from their competitors, improves the success of projects, (PM offices or PMOs) gives this feature, hence, organizations have adopted PMOs in many industries including the construction industry. This study highlighted the importance of applying modern project management methodologies in Syria in order to keep pace with the global market, especially through adopting Project Management Offices (PMO) in its construction industry as (PMO) is the ideal approach in managing projects efficiently and successfully. The Public Establishment of Housing in Syria has been selected as a case study because of the importance of the housing sector in Syria, which was affected by the Syrian crisis and the recent earthquake, which led to an increase in the demand for housing. A framework has been proposed and developed for PMO implementation and operation in the Public Establishment of Housing in Syria. This proposed Project Management Office aims to improve the reality of its project management by ensuring that these projects are completed in a timely manner, within budget limits, and to the required quality standards. The methodology used in this research included two axes: the first is a study of the literature for a deep understanding of PMO, and the second is interviews with housing organization employees to identify current practices in project management in the organization and what problems they suffer from, and then suggest the appropriate type of project management office for it.

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Sosaina Alchoufi mail -

Muhammad Shaaban mail

link https://doi.org/10.54216/IJBES.070102

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2023

Single-valued Plithogenic entropy measurement

In the last decade many researchers paid attention towards uncertainty measurement in given attributes arises unconsciously. These types of uncertainty measurement become more complex in case of dynamic changes in multi-variable, multi-attributes or Plithogenic attributes. It creates major problem at time of knowledge discovery and processing tasks. To resolve this issue, a method is proposed in this paper for precise measurement of randomness arises unconsciously for single valued Plithogenic attribute. In addition the selection of some important Plithogenic attributes at user defined granulation is discussed with an illustrative example.

groups

Prem Kumar Singh mail

link https://doi.org/10.54216/JNFS.070102

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

MADM Strategy Application of Bipolar Single Valued Heptapartitioned Neutrosophic Set

The fundamental goal of this study is to propose the concept of a bipolar single-valued heptapartitioned neutrosophic set (BSVHNS). We also outline the fundamental of BSVHNS traits and illustrate a few sample theorems. We define the fundamentals of the properties of the accuracy and scoring functions for the BSVHNS. The bipolar single-valued heptapartitioned mean in neutrosophic arithmetic (BSVHMNA) operator and the bipolar single-valued heptapartitioned mean in neutrosophic geometric (BSVHMNG) operator are defined and their fundamental properties are established in this article. We develop two Multi-Attribute Decision Making (MADM) strategies in the context of the BSVHNS environment: One is BSVHNS-MADM strategy which is on the BSVHMNA operator and another one is BSVHNS-MADM strategy which is on the BSVHMNG operator. Finally, we demonstrate the effectiveness of the developed procedures using a numerical example drawn from the actual world.

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Myvizhi M. mail -

Ahmed M. Ali mail -

Ahmed Abdelhafeez mail -

Haitham Rizk Fadlallah mail

link https://doi.org/10.54216/IJNS.210419

Volume & Issue

Vol. Volume 21 / Iss. Issue 4

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2023

Ranking and Evaluation Risks of Human Error Factors in Uncertain and Imprecision Information

Reasons for Human Error, the term "risk" is used to describe the many potential causes of human mistakes. Capabilities, organizational culture, job complexity, and environmental variables are just a few of the many aspects that fall under this category. Accidents, improvements in safety, and gains in productivity may all benefit from a better understanding of and approach to minimizing human error. This paper highlights the necessity for comprehensive methods and actions to limit the effect of human error by providing an overview of the primary human error components and their implications for risk management. Due to various criteria, the concept of multi-criteria decision-making (MCDM) is used to deal with various criteria. This paper used the MCDM tools to rank and evaluate the risks of human error factors. The DEMATEL method is a MCDM tool is used to compute the weights of these factors and rank the risks. The DEMATEL method is integrated with the neutrosophic set to deal with uncertain information. This paper used the single-valued neutrosophic set with three values (truth, indeterminacy, and falsity) values. The twenty risks are identified in this paper and ranked.   

groups

Shimaa S. Mohamed mail -

Ahmed Abdel-Monem mail

link https://doi.org/10.54216/IJAACI.030103

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2023

Neutrosophic MCDM Model for Assessment Factors of Wearable Technological Devices to Reduce Risks and Increase Safety: Case Study in Education

This study investigates the feasibility of using wearable technologies in education to improve safety. This article explores how wearables may be used to improve school safety and wellness, as well as their advantages, disadvantages, and future potential. The article covers a wide range of wearable gadgets and their respective safety-related features, from smartwatches to location trackers to panic buttons and biometric sensors. Privacy issues, data security, user acceptability, and ethical considerations are only some of the problems and hazards discussed in this research on wearables in education. This study the neutrosophic set to deal with uncertain data. The neutrosophic set is integrated with the multi-criteria decision-making (MCDM) CRITIC method. The CRITIC method is used to compute the weights of factors and rank it. There are 15 factors used in this study. The case study is applied in the education field. Educators, technologists, and legislators all need to work together to guarantee the safe and effective use of wearable devices in schools, as shown by the study's findings. The article reiterates the importance of wearables and their potential to enhance safety measures in education before making the case for more studies, pilot programmers, and policy development to fully realize their promise.

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Ahmed Abdelhafeez mail -

Myvizhi M. mail

link https://doi.org/10.54216/IJAACI.030104

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2023

The Digital Revolution in Trade Finance: Exploring The Impact of Smart Blockchain-Based Letters of Credit On E-business Transactions

  This paper aims to explore the impact of Smart Blockchain-based Letters of Credit (BTLOC) on business transactions in the realm of trade finance. The involvement of a third party in business transactions often leads to complications such as process heterogeneity, increased complexity, information security risks, and higher costs. To address these challenges, this research proposes an innovative solution for activities dependent on third-party participation, specifically in the context of global trading. To provide a comprehensive understanding of this solution, the study employs business process modeling in a transaction scenario, offering a deeper insight into its mechanics. The implementation of platforms built upon blockchain technology (BT), and smart contracts has the potential to significantly reshape and streamline business procedures, thereby benefiting participants engaged in global trade. This research primarily focuses on investigating the theoretical aspects and feasibility of incorporating BT into global trade, considering a paradigm shift in the field. A novel BTLOC is introduced as a key element of the research, enabling the examination of its practicality. Additionally, we explore the applications of BTLOC in real case study of international Trading and explore its potential integration into trade finance processes. Through a multi-case analysis, this research contributes to the understanding of the paradigm shift facilitated by BT. The findings shed light on the future potential applications of blockchain in finance and serve as an illustrative example of the extended capabilities associated with financial processes.  

groups

Zenat Mohamed mail -

Mahmoud M. Ismail mail -

Shereen Zaki mail

link https://doi.org/10.54216/IJAACI.030105

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2023

Deep Learning Framework of Convolutional Neural Network (CNN) and Attention CNN for Early Diagnosis of Alzheimer's Disease

One of the biggest killers in the industrialized world is Alzheimer's disease (AD). Although computer-aided techniques have shown promising outcomes in laboratory experiments, they have yet to be used in a clinical setting. Recently, deep neural networks have gained traction, particularly for image processing tasks. There has been a dramatic increase in the number of publications written on the topic of identifying AD using deep learning since 2017. It has been observed that deep networks are more efficient than standard machine learning methods for detecting AD. It remains difficult to identify AD because distinguishing between comparable brain signals during categorization needs an extremely discriminative depiction of features. This paper proposed a deep neural network method for prediction the AD. Low-level computer vision has been a hotspot for research into deep convolutional neural networks (CNNs). Studies often focus on enhancing performance through the use of very deep CNNs. Yet, as one goes deeper, the effect of the shallow layers on the deeper ones gradually diminishes. Prompted by reality. This paper compared with the CNN and attention CNN models. The proposed model applied in the AD dataset which contains 5121 images for the train set. The results showed the attention CNN model is better than the CNN model in accuracy, precision, recall, loss, and AUC.

groups

Hoda K. Mohamed mail -

Ahmed Abdelhafeez mail -

Nariman A. Khalil mail

link https://doi.org/10.54216/IJAACI.030201

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new