Electrocardiogram Comparison as a Biometric Identifier: A Review

Ammar Kadi; Adel Oubelaid; S. K. Towfek

doi:https://doi.org/10.54216/JAIM.050203

International Journal of Wireless and Ad Hoc Communication | 2023

Data Security in Cloud Computing

In recent years, cloud computing was and still is one of the most pragmatic and popular topics of research because of its advantages. Cloud storage allows organizations to store information of service providers at remote sites. However, cloud computing has encountered challenges, notably security issues and scheduling problems, primarily stemming from concerns related to data confidentiality and efficient resource allocation among users. These challenges are inherent to cloud computing, where data and computational resources are shared among multiple users and often hosted on remote servers operated by third-party providers. Hence, our objective is to identify and analyze the challenges associated with cloud computing, with a particular focus on data security. in addition to conduct scientific review and compare multiple recent research studies. The focus will be on identify challenges and advantages of cloud computing and data security when going through various data security measures that are currently employed in cloud computing. eventually we will come up with valid recommendations based on the findings.

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Faya Safar mail -

Raddad Al King mail

link https://doi.org/10.54216/IJWAC.070105

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Generating Weak Fuzzy Complex and Anti Weak Fuzzy Complex Integer Solutions for Pythagoras Diophantine Equation 𝑿𝟐 + 𝒀𝟐 = 𝒁𝟐

In this paper, we find necessary and sufficient conditions for a weak fuzzy complex integer triple (X,Y, Z) to be a pythagoras triple, and for an anti-weak fuzzy complex integer triple   to be a Pythagoras triple  (X,Y, Z), where we prove that the non-linear Fermat's Diophantine equation  has three different types of solutions according to the value of . All types will be solved and discussed in terms of theorems and examples that explains how the algorithms work

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Abuobida M. A. Alfahal mail -

Mohammad Abobala mail -

Yaser Ahmad Alhasan mail -

Raja Abdullah Abdulfatah mail

link https://doi.org/10.54216/IJNS.220201

Volume & Issue

Vol. Volume 22 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2023

Pre-separation Axioms in Neutrosophic Topological Spaces

In this article, we first establish a few relationships among neutrosophic interior, neutrosophic closure, neutrosophic pre-open sets, and neutrosophic pre-closed sets in single-valued neutrosophic topological spaces. Thereafter, we defined neutrosophic pre-  space, neutrosophic pre-  space, and neutrosophic pre-  space based on single-valued neutrosophic topological spaces and studied a few properties and relationships among them. We try to establish some relationships between existing neutrosophic separation axioms and newly defined neutrosophic pre-separation axioms. Finally, we study some hereditary properties of pre-separation axioms. Apart from these, we also explore some results implementing neutrosophic pre-open function, neutrosophic pre-continuous function, neutrosophic pre-irresolute function and neutrosophic pre -function based on our defined definitions.  

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Sudeep Dey mail -

Gautam Chandra Ray mail

link https://doi.org/10.54216/IJNS.220202

Volume & Issue

Vol. Volume 22 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2023

Bipolar Triangular Neutrosophic Chromatic Numbers with the Application of traffic light system

For addressing issues in several domains, such as theoretical computer science, engineering, physics, combinatorics, and the medical sciences, graph theory is a crucial component of mathematics. Graph coloring is one of the new settings that is emerging in a neutrosophic chromatic number environment. In addition to introducing the idea of bipolar triangular neutrosophic chromatic graphs (BTNCG), this work also examines and demonstrates the algebraic assumption. The proposed concept has been applied in a traffic signal system to discover a new lane to avoid traffic in peak hours.

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S. Sudha mail -

B. Shoba mail -

A. Rajkumar mail -

broumi said mail

link https://doi.org/10.54216/IJNS.220205

Volume & Issue

Vol. Volume 22 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2023

Neutrosophic Near Algebra Over Neutrosophic Field

This piece of paper aims to learn neutrosophic near algebra and neutrosophic sub near algebra. This paper is summarized with the suitable definitions and theorems of neutrosophic near algebra and neutrosophic sub near algebra. It has also been demonstrated that the direct product of neutrosophic near algebra is a neutrosophic near algebra and the intersection of neutrosophic sub near algebra is a neutrosophic near algebra on a neutrosophic field. It also examined the union of couple of neutrosophic near algebras is a neutrosophic near algebra.

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Bhurgula Harika mail -

K. Rajani mail -

P. Narasimha Swamy mail -

T. Nagaiah mail -

L. Bhaskar mail

link https://doi.org/10.54216/IJNS.220203

Volume & Issue

Vol. Volume 22 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2023

An Approach To Symbolic n-Plithogenic Square Real Matrices For 9≤ n ≤12

The concept of symbolic n-plithogenic algebraic matrices as symmetric structures with n+1 symmetric classical components with the special definition of the multiplication operation. This paper is dedicated to studying the properties of symbolic 10, and 9-plithogenic real square matrices and 11, 12-plithogenic real matrices from algebraic point of view, where algorithms for computing the eigenvalues and determinants will be proved. Also, the inverse of a symbolic n-plithogenic matrix for the special values n=10, n=9, n=11, and n=12 will be presented.

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Abuobida M. A. Alfahal mail -

Barbara Charchekhandra mail -

Raja Abdullah Abdulfatah mail -

Yaser Ahmad Alhasan mail -

Husain Alhayek mail

link https://doi.org/10.54216/IJNS.220204

Volume & Issue

Vol. Volume 22 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2023

Study on Student’s Performance using Single Valued Decagonal Neutrosophic Number in Decision Making Problem

This article presents a new single valued decagonal Neutrosophic number. The single valued decagonal Neutrosophic number is Deneutrosophicated with the help of bounded area method. The bounded area formula is derived. The single valued decagonal Neutrosophic number is used in the decision-making problem. The performance of students is analyzed using a ranking method. The attributes are taken from the problems related to students and teachers. The attributes are ranked through the single valued decagonal Neutrosophic number.

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S. Gomathy mail -

B. Shoba mail -

A. Rajkumar mail -

broumi said mail

link https://doi.org/10.54216/IJNS.220206

Volume & Issue

Vol. Volume 22 / Iss. Issue 2

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Journal of Artificial Intelligence and Metaheuristics | 2023

A Novel Long Short-Term Memory (LSTM) Deep Learning IoT Method for Lung Cancer Prediction and Detection

Lung cancer is the primary cause of cancer-related mortality in this generation, and it is expected to stay in foreseeable future. When the early indications of lung cancer are identified, a successful treatment can be initiated. A prototype environment friendly approach for treating lung cancer might be developed using the most recent developments in computational intelligence. Time and money will be saved since fewer resources will be wasted and manual tasks will take less effort to complete. An LSTM (Long Short-Term Memory)-based learning model was used to predict the lung cancer and improve the dataset procedure. With applications across medical image-based and textural data modalities, deep learning is one of the areas of medical imaging that is growing the fastest. Physicians may more easily and reliably identify and classify lung nodules with help of Deep Learning (DL)-based medical imaging technologies. This system covers the most recent advancements in deep learning-based imaging approaches for the early identification of lung cancer. The LSTM classifier sensitivity, specificity, and accuracy of our suggested system are best achieved by the Python software, with values of 80%, 85%, and 95%, respectively. Additionally, IoT (internet of things) to monitoring the lung cancer through cloud system through Adafruit Io. The lung cancer level is updating to NodeMCU controller.

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R. Ramani mail -

Padmaja Nimmagadda mail -

Shruti Bhargava choubey mail -

S. Rajasekar mail -

Omega John Unogwu mail -

Abdel-Hameed Al-Mistarehi mail -

Mostafa Abotaleb mail

link https://doi.org/10.54216/JAIM.050201

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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Journal of Artificial Intelligence and Metaheuristics | 2023

Deep Learning Algorithms for Smart Cars: A Survey

The rate of progress in autonomous car technology has increased exponentially over the past decade, mostly thanks to advancements in deep learning and artificial intelligence. This work aims to summarize recent progress made in the application of deep learning techniques to the problem of autonomous driving. First, we will go through the deep reinforcement learning paradigm and other AI-based solutions for autonomous driving, such as convolutional and recurrent neural networks. Algorithms for driving scene recognition, path planning, behavior arbitration, and motion control were developed with these techniques in mind. Both the End2End system, which immediately converts sensory input into steering commands, and the modular perception-planning-action pipeline, each module of which is built using deep learning techniques, are the focus of our studies. We also discuss the modern challenges of building AI systems for autonomous driving, such as making sure they are safe to use, finding good places to practice, and creating effective computing hardware. This survey's comparison sheds light on the pros and cons of AI and deep learning approaches to autonomous driving, which aids in making design decisions.

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Mostafa Abotaleb mail -

Ehsaneh khodadadi mail -

Nadjem Bailek mail

link https://doi.org/10.54216/JAIM.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Journal of Artificial Intelligence and Metaheuristics | 2023

Electrocardiogram Comparison as a Biometric Identifier: A Review

The electrocardiogram (ECG) is a type of biometric data that has recently attracted a lot of attention as a potentially useful biometric trait due to its high discriminatory power. However, precise and consistent biometric identification systems are challenging to deploy because to ECG signals' vulnerability to a wide range of sounds, including baseline wander, powerline interference, and high/low frequency noises. That's why ECG signal denoising is such an important aspect of the preprocessing phase for ECG-based biometric person identification: it removes noise from the raw ECG data. Biometric recognition using ECG signals is a difficult problem involving phases of preprocessing, feature extraction, feature selection, feature modification, and classification. Biometric system analysis also relies heavily on the use of appropriate success measures and a well-organized library of ECG signals. This is especially crucial when considering the fact that researchers rely significantly on freely accessible resources to gauge the efficacy of the algorithms they propose. In this study, we examine most of the approaches that have been taken toward ECG-based biometric verification of humans.

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Ammar Kadi mail -

Adel Oubelaid mail -

S. K. Towfek mail

link https://doi.org/10.54216/JAIM.050203

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new