A Novel Study on Some Pairwise Sub-Lindelöf Topological Spaces

Djamal

doi:https://doi.org/10.54216/GJMSA.040105

Journal of Intelligent Systems and Internet of Things | 2021

Smart Irrigation System with Predictive Analytics using Machine Learning and IoT

Water scarcity is a significant issue in agriculture, making efficient irrigation practices crucial for sustainable farming.  Integration of Internet of Things (IoT) and machine learning technologies are becoming of great importance to improve irrigation efficiency and reduce water usage. In this paper, we propose an intelligent irrigation system that take the advantage of IoT to improve the predictive analytics of groundwater levels. Our system used a deep learning to estimate the groundwater level using convolutional recurrent model that analyzed the sensory measurements necessary to predict groundwater levels. The model is trained on a large dataset of time series records and corresponding groundwater levels, allowing it to learn the complex patterns and relationships between time series features and groundwater levels. The experimental predictive analytics provided accurate irrigation recommendations, and the remote monitoring capabilities allowed farmers to adjust the irrigation schedule as needed.

groups

Ahmed Sleem mail -

Ibrahim Elhenawy mail

link https://doi.org/10.54216/JISIoT.020204

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2020

Intelligent Waste Management System for Recycling and Resource Optimization

This paper proposes a deep learning-based intelligent waste management system that can accurately classify waste types and optimize waste disposal processes. The proposed system utilizes a convolutional model to concisely identify the waste type from images captured by a camera system. Our system uses intelligent data augmentation to perform large datasets of waste item images and achieves a high classification accuracy rate. The waste types are classified into several categories, including glass, cardboard, metal, plastic, paper, and trash. Experimental results show that our system achieves high accuracy rates in waste classification and improves waste disposal efficiency compared to traditional waste management systems. Our system has the potential to significantly reduce the negative impact of waste on the environment and to promote sustainable waste management practices.

groups

Ahmed Sleem mail -

Ibrahim Elhenawy mail

link https://doi.org/10.54216/JISIoT.010205

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2021

Intelligent Traffic Management System for Smart Cities

rapid urbanization and the growing population in smart cities pose significant challenges to the management of urban traffic. In recent years, there has been an increasing interest in developing intelligent traffic management systems that leverage advanced machineries, such as the Internet of Things (IoT), and machine learning (ML), to enhance the efficiency and effectiveness of traffic management in smart cities. This paper proposes an intelligent traffic management (ITM) system for smart cities that integrates various computing paradigms to provide real-time traffic information, optimize traffic flow, and improve road safety.  The suggested system utilizes an innovative system for the predicting the traffic flows with the goal of enhancing the current level of traffic management in smart cities. An enhanced convolutional autoencoder network is incorporated into the proposed system as a means of extracting the spatial representations contained in traffic flows. Additionally, by the utilization of a refined gated learning module, it possesses the capability of accurately recording temporal dynamics. Our system is evaluated using real-world traffic data, and the results demonstrate its effectiveness in improving traffic flow and reducing congestion in smart cities. Our system has the potential to significantly enhance the performance of traffic management systems in smart cities, decrease traffic crowding, and progress the safety of roads in smart cities.

groups

Mahmoud Ismail mail -

Shereen Zaki mail

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

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2021

Intelligent Energy Management System for Sustainable Smart Homes

Energy management in smart homes involves the use of technology to optimize energy consumption, reduce waste, and lower energy costs. Smart homes are equipped with various devices, sensors, and systems that are designed to monitor and control energy usage.  We proposed a novel Energy Management System (EMS) that integrates Machine Learning (ML) techniques and IoT paradigms to optimize energy consumption and reduce energy costs for sustainable smart homes. In addition to the AI-based EMS, we propose integrating fog computing, a decentralized computing infrastructure, to improve the speed, accuracy, privacy, and security of the EMS. The fog nodes can collect data from the various sensors and devices in the smart home and process the data in real time, reducing latency and allowing for quicker decision-making. By processing data at the edge of the network, fog computing also reduces the amount of data that needs to be sent to the cloud, improving privacy and security. Experimental proof-of-concept simulations demonstrated the efficiency and effectiveness of our system in improving sustainability in smart homes.

groups

Mahmoud Ismail mail -

Shereen Zaki mail -

Heba Rashad mail

link https://doi.org/10.54216/JISIoT.030204

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2023

Algorithms for Computing Pythagoras Triples and 4-Tiples in Some Neutrosophic Commutative Rings

This paper is dedicated to study the number theoretical Pythagoras triples\4-tiples problem in several kinds of neutrosophic algebraic systems, where it finds an algorithm to find Pythagoras triples\4-tiples in commutative neutrosophic rings and refined neutrosophic rings too. Besides, the necessary and sufficient condition for a triple\4-tiple to be Pythagoras triple\4-tiple (quadruples) is obtained and proven in term of theorems. In addition, many numerical examples will be illustrated.

groups

Hamiyet Merkepci mail -

Ahmed Hatip mail

link https://doi.org/10.54216/IJNS.200310

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2023

On the Symbolic 2-Plithogenic Rings

The objective of this paper is to study for the first time the algebraic properties of symbolic 2-plithogenic rings generated from the fusion of symbolic plithogenic sets with algebraic rings, where we study some of the elementary properties and substructures of symbolic 2-plithogenic rings such as AH-ideals, AH-homomorphisms, and AHS-isomorphisms. Also, the idempotency and nilpotency of symbolic 2-plithogenic elements in terms of theorems have been discussed. Besides, many examples to clarify the validity of our work have been covered.

groups

Hamiyet Merkepci mail -

Mohammad Abobala mail

link https://doi.org/10.54216/IJNS.200311

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023

Some Results About the Behaviour of Non-Linear Third Order Differential Equations

  The aim of this paper is to study the asymptotic behaviour of the following non-linear third order differential equations in large scale of time    〖〖〖[|u〗^(ˊˊ) (t)|〗^(p-1) u^(ˊˊ) (t)]〗^ˊ+f(t,u(t),u^ˊ (t),u^(ˊˊ) (t)=0    ;p≥1      (1).   Many results about this behavior will be presented and discussed in terms of theorems, as well as many related examples will be illustrated.    

groups

Arwa Hajjari mail

link https://doi.org/10.54216/GJMSA.040101

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023

On Intuitionistic Fuzzy Subgroups of (M-N) Type and Their Algebraic Properties

The objective of this paper is to define the intuitionistic fuzzy subgroup of type (M-N) and to study some of its elementary properties and substructures such as normality, direct and inverse images.Also, many related theorems and examples will be presented and illustrated.

groups

Ahmed Hatip mail

link https://doi.org/10.54216/GJMSA.040102

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023

On Some Applications of Gamma Function

In this paper we study the gamma function and its representation for complex variable, using either a series or an appropriate integral and its applications in solving some types of Integral Equations and their relation to the Riemann zeta function.

groups

Josef Al Jumayel mail

link https://doi.org/10.54216/GJMSA.040103

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023