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
AN APPROACH TOWARDS DIABETIC RETINOPATHY DETECTION AND ANALYSIS THROUGH COGNITIVE COMPUTING
Diabetes is a common chronic condition that significantly impacts patients' daily lives. Although it cannot be cured, if left unmanaged, diabetes can progressively damage vital organs. Without early and appropriate care, it may lead to multiple adverse effects. To ensure proper care, diabetic individuals typically require regular visits to healthca...
By B. Saratha, M S Radhika, V. Shenbaga Priya
A SCOPING STUDY ON ENERGY MANAGEMENT SYSTEM IN THE CITY OF HYDERABAD
India is one of the emerging economies attracting many industries for launching their business in its land. In the present scenario of global warming and in the light of environmental awareness, it is an alarming issue. An important point to be observed and highlighted is regarding waste disposal and radiation produced by various industries. Indust...
By B. Neeraja, B.V. Jayanthi, B. Suchitra, Ch. Indira Priyadarsini, Vasantha Lakshmi
AN EARLY DETECTION OF KAWASAKI DISEASE USING ENHANCED FEATURE SELECTION AND HYBRIDIZATION-BASED CLASSIFICATION APPROACH
Kawasaki disease (KD) is a disease that cause inflammation in blood vessels, impacting kids and causes heart and blood vessel damage. Patients with KD who have medium or big aneurysms, developing coronary dilatation for a minimum of 2 months, are related to the worst late coronary results, which are not widely researched. The primary goal...
By C. Kavitha, A. Subramani
BIOGENIC SYNTHESIS AND ANTIBACTERIAL ACTIVITY OF SILVER NANOPARTICLES USING CYANOBACTERIA FROM THE ARID REGION OF HAIL, SAUDI ARABIA
This research paper examines the biogenic production of silver nanoparticles (AgNPs) using cyanobacterial strains (Spirulina, Nostoc, and Anabaena) that have been isolated in arid areas, Hail, in Saudi Arabia, and determines their antimicrobial effects in relation to multi-drug-resistant pathogens. Synthesis was done by incubating cyanobacterial bi...
By Sana M. Alenezi, Amal A. Al-Hazzani, Fatimah S. Alkhattaf
A DEEP ENSEMBLE LEARNING AND INTELLIGENT HYBRID FEATURE EXTRACTION MODEL FOR THE PEST DETECTION AND CLASSIFICATION IN CLOUD COMPUTING
This study presents an advanced approach for Pest Detection (PD) through automatic identification of invasive insects using Deep Ensemble Learning (DEL) and intelligent Feature Extraction (FE) techniques. The process begins with Z-score normalization (ZSN) to eliminate noise and improve classifier performance. Improved Feature Weighted Fuzzy Cluste...
By P. Bharathi, K. Dhanalakshmi
EFFECT OF STATE OF FABRIC ON WICKING CHARACTERISTICS OF KNITTED FABRICS SUITABLE FOR SPORTS APPLICATIONS
This study examines the wicking properties of different fabrics produced from 100% Polyester, 100% Soybean, and bilayer (Polyester and Soybean), under various conditions (relaxed, static deformation, and dynamic deformation). The study evaluates the wicking area, liquid spread, and maximum wetted radius to understand moisture transport and absorpti...
By S Priyalatha
A DATA DRIVEN APPROACH THROUGH IOMT BASED PATIENT HEALTHCARE MONITORING SYSTEM
The current circumstances underscore the pressing need to accelerate the adoption of Internet of Things platforms in realm of the medical field to improve the health of mankind. Given the present challenges, I propose the development of an Advancing healthcare monitoring system built on the foundation of Internet of Medical Things (IOMT). Advancing...
By E Veera Boopathy, M.A.Y Peer Mohamed Appa, S Pragadeswaran, D Karthick Raja, M Gowtham, R Kishore, P Vimalraj, K Vissnuvardhan
ENHANCED TRANSFORMER-BASED DEEP KERNEL FUSED SELF ATTENTION MODEL FOR LUNG NODULE SEGMENTATION AND CLASSIFICATION
Lung cancer remains a leading cause of mortality globally, with outcomes heavily dependent on the timeliness and accuracy of diagnosis. Traditional medical imaging techniques, while foundational in detecting lung nodules, often falter in distinguishing malignant from benign lesions with high precision, largely due to their inability to contextualiz...
By R. Rani Saritha, R. Gunasundari
DESIGNING INCLUSIVE CITIES – THE ROLE OF URBAN ARCHITECTURE IN ENHANCING ACCESSIBILITY FOR THE VISUALLY IMPAIRED
Urban architecture's role is vital in creating an inclusive environment for visually impaired people and affording them easy accessibility in navigating through the built environment. This paper debates the essential principles of urban design, which focus on tactile, auditory, and sensory elements to accommodate visually impaired people. It underl...
By Alisher Doniyorov, Jurabek Polvonov, Shakhnoza Jalolova, Zilola Sattorova, Manzura Yakubova, Otabek Gaybullaev, Azam Abdullaev, Abdikhalik Abdukarimov