A NOVEL FRAMEWORK FOR ENHANCING DATA COLLECTION MACRO- STRATEGIES IN HETEROGENEOUS IOT NETWORKS USING ADVANCED MATHEMATICAL MODELING
The explosive growth of Internet of Things (IoT) devices has generated considerable data in diverse networks. This poses serious challenges in collecting timely information and managing frequency resources optimally. In particular, unauthorized access, measurement constraints, and variable channel conditions cause interference, performance degradat...
By Abdolrashid Rezvani, Abbas Mirzaei, Nasser Mikaeilvand, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz
ULUGH BEG MADRASAH AS A PILLAR OF ASTRONOMICAL ADVANCEMENT IN CENTRAL ASIA
The Ulugh Beg Madrasah in Samarkand is a prominent scientific and educational institution of Central Asia. The construction of the madrasah was initiated in the 15th century by Ulugh Beg, the Timurid ruler and astronomer. The madrasah played a great role in the development of astronomy, mathematics, and Islamic studies. This article discusses the h...
By Mavzuna Mukhiddinova, Valisher Sapayev, Manzura Yakubova, Maqsad Maytakubov, Dildora Agzamova, Pardaxol Haydarova, Zukhrobiddin Olimov
ANALYZING AND PRIORITIZING HEALTHCARE SERVICE PERFORMANCE IN HOSPITALS USING SERQUAL MODEL
Health care is essential for both public welfare and national growth. Nevertheless, the number of hospitals has increased; patients still face many problems highlighting the need for better healthcare services. The Present study aims to analyze the quality of healthcare services in view of patients’ fulfillment and identify their requirements...
By Abdul Z. Hameed, R. Balamurugan, Ali Rizwan, Muhammad Atif Shahzad
ANTI-DIABETIC AND ANTIMICROBIAL ACTIVITIES OF GRONA TRIFLORA MEDICINAL PLANT
This research analyses the bioactive Components of Grona Triflora, a medicinal plant that has potential health benefits, and its application in textile finishing to enhance fabric functionality and property. Grona Triflora was purified, dried, and ground into a powdered material for extraction using methanol, ethanol, and distilled water. The extra...
By A. Saniya, R. Divya, M. Sharmila, C. Prakash
GA-PSO-MIN: A HYBRID HEURISTIC ALGORITHM FOR MULTI-OBJECTIVE JOB SCHEDULING IN CLOUD COMPUTING
Due to the variable resource availability and diverse user needs, efficient task scheduling in cloud computing has become increasingly important. This study introduces GA-PSO-Min, a novel approach that synergistically combines genetic algorithms (GA), particle swarm optimization (PSO), and Min-Min strategy to improve scheduling efficiency in cloud ...
By Vahid Mokhtari, Nasser Mikaeilvand, Abbas Mirzaei, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz
ADVANCING DIABETES PREDICTION THROUGH MACHINE LEARNING AND DEEP LEARNING MODELS USING PIMA INDIAN AND CLINICAL-BIOLOGICAL DATA
Diabetes Mellitus is a significant world health and early detection is of paramount significance since it decreases the complications and enables medical intervention in time. The paper is a comparison between the predictive accuracy of the eight Machine Learning classifiers: Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random ...
By Zeeshan Hussain, Suraiya Parveen, Ashif Khan, Ihtiram Raza, Umnah
THE INFLUENCE OF ISLAMIC ARCHITECTURE ON EUROPEAN DESIGN
Islamic architecture's impact on European design is a manifestation of centuries of cultural interaction, commerce, and conquest. Islamic architectural forms, including domes, arches, geometric patterns, and calligraphy, were introduced into European forms through contact in Spain, Sicily, and the Crusades. This research examines how Islamic archit...
By Nodir Karimov, Maqsad Maytakubov, Janjayxan Darmenov, Habibakhon Mamadalieva, Farrux Akchayev, Ilhom Karimov, Gullola Kurbanova
INTELLIGENT ROBOTIC SYSTEM FOR EFFICIENT SOLAR PANEL MONITORING
In this paper, we will introduce a new concept of improving the efficiency of solar panels and the ease of their maintenance by applying relevant robotics and a mobile application concept. This component relies on various sensors, such as rain sensors, dust sensors, and real time clocks (RTCs), to enhance thorough cleaning and maintenance. The robo...
By E. Veera Boopathy, S. Samraj Samraj, S. Vishnushree, L. Vigneash, I. Sheik Arafat, L.S. Karthick
AEGIS FLARE: IOT-ENABLED ROBOTIC FIREFIGHTER FOR ADVANCED FIRE DETECTION AND SUPPRESSION
Modern techniques for identification and evacuation of fires are required because they represent a serious risk to human life, belongings, including the surroundings. In order to tackle this scenario, this research project presents Aegis Flare, IoT based autonomous rescuer. Aegis Flare uses OpenCV analyzing images to automatically identify fla...
By E. Veera Boopathy, M. Ishwarya Niranjana, S. Nethaji Naveen Prasath, P. Sivabalvigneshan, R. Sanjesh, S. Sanjay, A. Nithishkumar, S. Vishal
GEOCHEMICAL AND GEOLOGICAL STUDIES OF OIL SHALES IN AB KASEH SECTION, KOUHRANG COUNTY, CHAHARMAHAL AND BAKHTIARI PROVINCE, IRAN
This study investigates the geochemistry of oil shales from the Ab Kaseh section in western Kohrang, Chaharmahal and Bakhtiari Province, Iran. Ten shale samples were collected for geochemical analyses, including Rock-Eval pyrolysis and XRF/ICP analyses. Ten thin sections were also prepared for petrographic analysis. A stratigraphic column and depos...
By Milad Tahmasebi, Farhad Ehya, Ghodratollah Rostami Paydar