A New Approach for Solving Singularly Perturbed Boundary Value Problems by Using Exponential Spline Method

Ahmed R. Khlefha

doi:https://doi.org/10.54216/GJMSA.0100202

International Journal of Neutrosophic Science | 2024

Neutrosophic Binary Separation Axioms associated Neutrosophic Binary Kernel Set

The primary purpose of this report is to present an idea that is considered one of the main ideas in neutrosophic binary topological spaces. We plead them the axioms of neutrosophic binary separation axioms associated in the neutrosophic binary kernel. Also we studied its characteristics and the relationships between these new neutrosophic binary separation axioms and their relationships with some other properties.    

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Amer Khrija Abed mail -

Sarab Kazim Hassan mail -

Qays Hatem Imran mail -

Ali H. M. Al-Obaidi mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.240119

Volume & Issue

Vol. Volume 24 / Iss. Issue 1

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2024

IntelliCare: Integrating IoT and Machine Learning for Remote Patient Monitoring in Healthcare: A Comprehensive Framework

The development of smart health monitoring systems has emerged as a consequence of the integration of Internet of Things (IoT) and Machine Learning (ML) technologies within the healthcare sector. This transformation has significantly reshaped patient care methodologies, shifting from traditional approaches to electronic healthcare systems. Leveraging IoT technology fosters a contemporary medical device ecosystem, fostering seamless communication among healthcare professionals, patients, and medical devices. Through the deployment of IoT devices, encompassing sensors and transmitters, coupled with Machine Learning algorithms, various applications have arisen, spanning from remote patient monitoring to real-time health assessment during ambulance transit to medical facilities. This proposed framework aims to monitor essential physiological parameters including body temperature, blood pressure, heart rate, sweat analysis, glucose levels, ECG, EEG, and pulse oximetry, transmitting pertinent data for tailored processing and analysis. Implantable IoT devices serve as conduits for wireless communication, data storage, centralized computation, and portable processing, facilitating connectivity among sensors, GPS-enabled ambulances, medical practitioners, and patients. To mitigate potential health risks, sensors are equipped with Machine Learning capabilities to promptly assess illness severity and recommend appropriate interventions, potentially triggering automated alerts to healthcare providers. This seamless exchange of information via IoT and wireless networks enables rapid communication between doctors and patients, facilitating personalized medical recommendations, prescription management, and hospital selection based on individual health profiles.

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Gautham Praveen Ramalingam mail -

Deepika Pandian mail -

Cithi F. Saboor Batcha mail

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

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2024

The Art of Navigation: Pure Pursuit Controller Strategies for Four-Wheeled Mobile Robots

The Pure Pursuit Algorithm (PPA) is used in this paper to explain how a car with four wheels moves. The MATLAB environment has extensive simulation capabilities that can accurately represent complex robotic behaviors. It was these that were deployed for an extended analysis of the robot’s operational dynamics. In the MATLAB/Simulink framework, waypoints obtained from different algorithms define robot trajectory. An odometer sensor helped to localize the robot thus giving accurate real-time information on its position. After critically evaluating several performance indices, it became clear just how well this control algorithm worked because it smoothly moved the robot from its initial state to its target with almost no oscillations at all. The findings of the simulation confirmed that if an appropriate lookahead distance is selected then the robot can effectively track waypoints and maintain optimal path along a trajectory up until reaching the target point at last

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Mohammed R. Hashim Al-Dahhan mail -

Mahmood Abdulrazzaq Alsaadi mail -

Ruqayah R. Al-Dahhan mail -

Salah A. Aliesawi mail

link https://doi.org/10.54216/FPA.150207

Volume & Issue

Vol. Volume 15 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2024

Intelligent Enhanced Mobile Robotics Navigation: Integrating Neural Networks with Type-2 Fuzzy Logic for Dynamic Environments

Intelligent mobile robots move on uncertain grounds, thus requiring good navigation strategies for things like path tracking and obstacle avoidance. This research uses an Omni-drive mobile robot to autonomously approach given objectives in different situations encountered in static and dynamic environments. The paper compares two distinct controllers – fuzzy logic controller and neural network controller- that lead the mobile robot towards its destination without hitting obstacles. These are responsible for adjusting the linear and angular velocities of a mobile robot which makes adaptive navigation possible during real-time. The experimental results have depicted the adaptability of each controller as well as its efficiency especially when dealing with uncertainties involved with the mobile robot navigation system. By systematically evaluating and contrasting them, this study brings out the best performance between Fuzzy Logic and Neural Network Controllers regarding enhancing the autonomy and robustness of Mobile Robots. This research helps to advance knowledge in autonomous systems for practical applications, which will give rise to more efficient navigational techniques for mobile robots; thus, efficient systems that are autonomous become more reliable today. The results show that these controllers are effective in safely steering the robot from its starting point to a specified destination without hitting obstacles.

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Mohammed R. Hashim Al-Dahhan mail -

Mahmood Abdulrazzaq Alsaadi mail -

Ruqayah R. Al-Dahhan mail -

Salah A. Aliesawi mail

link https://doi.org/10.54216/FPA.150208

Volume & Issue

Vol. Volume 15 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

Energizing Inventory Management to Optimize Energy Consumption of Handling Shortages by Neutrosophic Fuzzy Trapezoidal Number

Embarking on the exploration of integrating environmental sustainability principles and neutrosophic fuzzy theory in inventory management, this study aims to effectively tackle shortages. It underscores the vital balance between economic efficiency and ecological responsibility in contemporary inventory management practices. Neutrosophic fuzzy theory emerges as a robust tool for navigating the inherent uncertainties in inventory optimization, offering a versatile framework for modelling intricate problems. Strategies for optimizing resource consumption and minimizing waste generation within inventory management are scrutinized, emphasizing the imperative of harmonizing economic objectives with environmental concerns. Introducing a novel framework that melds neutrosophic fuzzy with environmental metrics, the research aims to optimize inventory management processes while mitigating environmental impacts. Furthermore, it delves into the challenges of managing energy consumption, advocating for innovative approaches to address fluctuating energy prices, data limitations, and evolving regulatory requirements. Neutrosophic sets are introduced for energy consumption analysis and cost evaluation, showcasing their efficacy in managing uncertainty and variability in real-world scenarios. The study concludes with a Python-based analysis of neutrosophic mean in energy consumption, offering insights into central tendencies and uncertainties associated with energy-related costs. Utilizing visualization techniques to enhance comprehension and decision-making in energy management, this research contributes to advancing inventory management practices by integrating environmental sustainability principles and sophisticated mathematical techniques, thereby fostering more resilient and sustainable supply chain operations.

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N. Sindhuja mail -

M. Santoshi Kumari mail -

K. Kalaiarasi mail -

Manjula G. J. mail -

Shrivalli H. Y. mail

link https://doi.org/10.54216/IJNS.240120

Volume & Issue

Vol. Volume 24 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Analysis of a Supply Chain using the Neutrosophic IOWA-VIKOR Method for Operational Sustainability

In Ambato, the low availability of suppliers represents a significant challenge for business logistics, directly impacting operational efficiency, legal compliance, and competitiveness. This study aims to analyze the legal implications of business logistics in this region and propose strategies. The Neutrosophic Saaty AHP method was used for the development of the study, identifying the predominant challenge as the "low availability of suppliers," which can lead to legal risks related to contract non-compliance and supply chain issues. To address this challenge, the strategy of promoting the formation of strategic alliances and diversifying supply sources was proposed using the Neutrosophic IOWA-VIKOR method. This allows for the evaluation of suppliers' ability to meet demand and company requirements. The study also highlights the need to address challenges, manage indeterminacies, and optimize logistics chain operations in Ambato's businesses. It concludes that the strategy of strategic alliances and supplier diversification is crucial for overcoming the low availability of suppliers in Ambato.

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Dıego F. Coka Flores mail -

Cynthıa Paulına C. Zúñıga mail -

Roberto Carlos J. Martínez mail -

Tonguc Cagin mail

link https://doi.org/10.54216/IJNS.240121

Volume & Issue

Vol. Volume 24 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Neutrosophic Cognitive Maps for Mediation as a Conflict Resolution Method in Traffic Conflicts

This study investigated the dynamics of interaction between key variables in traffic accident mediation and how the inherent indeterminacy in these interactions influences the outcomes of mediation. Neutrosophic Cognitive Maps and neutrosophic logic were used to model and quantify the centrality and influence of such variables. The results highlighted the importance of negotiation strategies and emotional management as factors of high centrality in the mediation process. Based on these findings, the implementation of targeted training programs and the adoption of advanced analytical tools to improve mediation practices were recommended. The study underscores the need for a multidimensional approach that considers the complexity and uncertainty in mediator training, supporting efficiency and effectiveness in resolving traffic disputes.

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Marına Mendez Cabrıta mail -

Leonso Torres Torres mail -

Jorge G. Del Pozo C. mail -

Nasser El-Kanj mail

link https://doi.org/10.54216/IJNS.240122

Volume & Issue

Vol. Volume 24 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2023

Applications of Interval-Valued Pythagorean Fuzzy Soft Graph in Bipolar Fuzzy Frame Works

The main contribution of this paper is to get extended ideas of various interval-valued bipolar Pythagorean fuzzy soft graphs (I-VBPFSGs) and to extend the concept of the Pythagorean fuzzy soft graph to the bipolar frameworks. Finally, in order to demonstrate, how to calculate an interval-valued Pythagorean bipolar fuzzy soft graph for a specific application, a numerical example using city data from the Yunnan province is presented.

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R. Sivasamy mail -

M. Mohammed Jabarulla mail -

broumi said mail

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

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2023

On the Concepts of Two- Fold Fuzzy Vector Spaces and Algebraic Modules

The concept of two-fold algebras is generated by merging some special sets such as fuzzy sets, neutrosophic sets or plithogenic sets with various algebraic structures. The main objective of this research paper is to provide a strict mathematical definition and a general study of two-fold fuzzy vector spaces defined over the real numbers and also two-fold fuzzy vector spaces defined over the complex numbers, as well as two-fold fuzzy algebraic modules defined over commutative rings with unity. The elementary properties and algebraic operations of those structures will be explained through many theorems and mathematical proofs.

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Ahmed Hatip mail -

Necati Olgun mail

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

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2024