Integrated Decision Making Aided Model to Estimate the Risks of the Excavation System

Lobna

doi:https://doi.org/10.54216/FPA.070205

Journal of Cognitive Human-Computer Interaction | 2022

Machine Learning Based Product Price Inference Using Price Elasticity of Demand Approach

In India lot of production and manufacturing industries are there, every time the price fixing to any new or existing product is considered many factors. Many parameters are involved to fix the price of any product. In market price fixing consists of various parameters, before finalize price value of any product, that will be based on the market demand of any product, and customer behavior also may be vary based on the day of purchasing in this proposed work we need to optimization of price product using machine learning algorithm and how effectively increase the proof of any product.

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K. Vengatesan mail -

Raghvendra Vijay Naidu mail -

Kunal Ganesh Joshi mail -

ChaitanyaSantosh Tekane mail -

Siddhant Ravindra Gore mail

link https://doi.org/10.54216/JCHCI.030101

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2022

Effectiveness and Impact of Online Education on School Students - A Study With Reference to Chennai City

This study examines how beneficial online learning and tests are for students. During the COVID-19 epidemic, every educational institution has switched to an online style of learning and examination. This study is about the student’s experiences with online classes. This paper also examines how students respond to online classrooms and how they enhance their skills by studying online. A survey was conducted by distributing an online questionnaire to schools students studying in various parts of Chennai city. Data gathered from the survey were analysed with SPSS software. Statistical tools such as paired sample test, ANOVA, Chi-Square test were used to test various hypotheses. The outcomes of the study revealed how students were motivated and the difficulties faced during online classes. An attempt was made to learn about the student’s attitudes towards online classes before and during the COVID-19 outbreak.

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Hariharan E. K. S. mail -

Bharath M. mail -

Mageshwaran S. mail

link https://doi.org/10.54216/JCHCI.030102

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2022

Online Resume Builder

A resume is a formal document used by individuals to provide an overview of their professional qualifications, including their relevant work experience, education, skills and other accomplishments. A well-designed resume is an essential document which enables an individual to showcase their skill sets & qualifications during the recruitment or hiring process. Therefore, it is a widely used item that a job seeker often uses in seeking employment in jobs. Usually, individuals get confused while creating resume. They don't have clear idea of what kind of details should be included in a resume. In resume builder, individuals just have to fill their details in the respective fields which will automatically generate a well-structured resume for them. This project not only focus on resume creation but also enables easy input giving for the user by Smart auto-suggestion feature. And also, users can review their resume with real-time preview features. For people with no idea on how to prepare a Resume, we provide a best class Resume Builder for free and without any interruption like authentication, credentials, ads, etc. Users may create any kind of Resume (For example: Fresher, Professor, Veterans, etc.) with professional & elegant look using the resume builder. Hence, an Online Resume Builder supports an individual to generate an elegant resume in an easy manner.

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M. Sumithra mail -

B. Buvaneswari mail -

T. Janeswaran mail -

O. monishlal mail -

M. S. Hariharan mail -

M. Arjun mail

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

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2022

Infallible and FastQR Code Based Attendance Plus Feedback System

We all know that keeping track of students' attendance is a crucial part of their education. Marking attendance, particularly in higher educational institutions, is a time-consuming and inefficient operation due to the large number of students. Taking feedback from students during seminars or guest lectures is also a time-consuming and demanding endeavor. It has a significant impact on an educational organization's overall productivity. We also understand that smartphones have become common, as well as a need in this rapidly changing digital world. Various smartphone applications have been developed, allowing us to boost our productivity while saving a significant amount of time. Many digital technologies, such as fingerprint scanning, RFID, facial recognition, QR codes, and barcode-based systems, have been presented in recent years. However, they were unable to adopt these ideas on a broad scale due to factors such as sophisticated functionality, easy to cheat, time demanding, and poor user experience. Furthermore, there are no effective or time-saving methods in place for collecting student feedback during seminars or guest lectures. To address all of these concerns, we devised and suggested a quick, scalable, and error-proof QR code-based system capable of accurately recording attendance and collecting feedback at seminars or guest lectures.

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Ramgude Akshay Dilip mail

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

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2022

An Approach for Devising Stenography Application Using Cross Modal Attention

This paper focuses on providing a solution to the direct conversion of speech to shorthand. Since shorthand is not understood by many but is used for writing quick transcripts, a product is developed that converts the speech to its appropriate Gregg shorthand. A website that will be used as a front end, will use a speech-to-text API to record the speech in real-time. The converted text will then be fed into a text-to-image retrieval model that derives its corresponding Gregg shorthand for the text. The text will then be displayed to the user in real-time. By achieving this, the model reduces the need to depend upon stenographers for transcribing scripts. The resulting model achieves a good result.

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Shanthalakshmi M. mail -

Susmita Mishra mail -

LincyJemina S. mail -

Raashmi P. mail -

Mannuru Shalin mail -

Jananeee V. mail

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

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

International Journal of Artificial Intelligence and Education Technology | 2022

The Effect of Different Navigation Style in a Three-Dimensional Learning Environment on Developing the Skills of Producing Stereoscopic Learning Elements Among Graduate Students

The aim of the current research is to develop the skills of stereoscopic learning elements among graduate students. This research belongs to the category of development research that uses some descriptive studies methods (descriptive survey, systems development) in the phase of study, analysis, design and experimental approach when measuring the impact of the independent variable of research on the dependent variable. In the evaluation stage, then applying the research tools (achievement test - note card - product evaluation card) before and after on an intentional sample of (30) graduate students - full-time diploma - Mansoura University, they were divided into two experimental groups, each group (15) students , The first experimental group uses the linear sailing pattern, and the second experimental group uses the grid pattern, and the training was conducted in a three-dimensional learning environment, and the research results concluded that the grid sailing pattern is the most influential pattern on the production of stereoscopic learning elements.

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Elsayed Mohsen mail -

Abdalall Abdalla mail -

Ismail Mohammed mail

link https://doi.org/10.54216/IJAIET.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

On Neutrosophic Generalized Semi Generalized Closed Sets

The article considers a new generalization of closed sets in neutrosophic topological space. This generalization is called Neutrosophic gsg-closed set. Moreover, we discuss its essential features in neutrosophic topological spaces. Furthermore, we extend the research by displaying new related definitions such as neutrosophic gsg-closure and neutrosophic gsg-interior and debating their powerful characterizations and relationships.

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Qays Hatem Imran mail -

Ali H. M. Al-Obaidi mail -

Florentin Smarandache mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.18030101

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

International Journal of Artificial Intelligence and Education Technology | 2022

A Novel Approach to Detect Coronavirus Based on Lung x-ray Image and Convolutional Neural Networks

The coronavirus has become a global crisis in recent months. The virus has disrupted or shut down many social, economic, sports, scientific, etc. activities. In addition to the medical importance of this Disease, its rapid and accurate diagnosis is an important need. In this study, we proposed a novel method to detect coronavirus using machine learning and classification algorithms based on lung images. In general, the method consists of two steps. At the first step, a convolutional neural network is trained with a data set of lung images that determine whether a viral infection exists or not. In the second step, another network is used to detect if the existence of viral infection is considered coronavirus or not. Experimental tests have been conducted that show the correct diagnosis can be made with 95.8%.

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Huda Mubarak Ismail mail -

Pedram Salehpour mail -

Seyed Hadi Aghdasi Alamdari mail

link https://doi.org/10.54216/IJAIET.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2022

An Intelligent Spatial Military Intrusion Detection using Reactive Mobility Unmanned Vehicles Based on IoT and metaheuristic Optimization Algorithm

One of the most significant uses of the Internet of Things is military infiltration detection (IoT). Autonomous drones play a major role in IoT-based vulnerability scanning (UVs). By relocating UVs remotely, this work introduces a new algorithm called the Moth-Flame Optimization Algorithm (MFO). In particular, MFO is used to proactively manage UVs under various scenarios and under different intrusion-covering situations. According to actual studies, the suggested algorithm is both profitable and efficient.

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Lobna Osman mail

link https://doi.org/10.54216/JCIM.090203

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2022

Integrated Decision Making Aided Model to Estimate the Risks of the Excavation System

For the last years, a bibliometric examination of risk evaluation approaches for excavating systems has been presented in this publication. To develop an early warning system, it's essential to compile a list of possible dangers that can arise during excavation. Failure Mode and Effects Analysis (FMEA) is a useful approach. Traditional risk assessment techniques have been criticized for a variety of reasons, including a lack of correlation between risk variables, difficult arithmetic operations, and a lack of correctness and preciseness in the evaluations. A unique method of risk analysis in FMEA that uses digraphs and matrix approaches underneath the Pythagorean fuzzy scenario is presented in this research. To get started, we'll defy Pythagorean fuzzy numbers in a triangle form. Both language terminology and risk factor data and information are expressed using them (inclusive of occurrence, severity, and detection). The Pythagorean fuzzy digraph thus captures the interrelationships between the risk variables and the relative importance of each one, as seen in the figure. After that, we create a Pythagorean fuzzy test indicated for each identified failure mode and compute risk priority indexes to determine risk priorities. Using a metro station excavation as a case study, the accuracy of risk assessments in excavation is improved.

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Lobna Osman mail

link https://doi.org/10.54216/FPA.070205

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new