HISTORICAL PERSPECTIVES ON RENEWABLE ENERGY ADVANCEMENTS AND THEIR ROLE IN SHAPING GLOBAL ENERGY EFFICIENCY STRATEGIES
Renewable energy technologies have existed since the earliest days of energy conservation and preservation, which have been critical to the development of modern energy conservation plans around the globe. Although the earliest applications of wind, water, and solar power date back to the second millennium, the development of renewable energy has t...
By Nargiza Jabborova, Nozimjon Ibrokhimov, Feruza Kilicheva, Sabohat Alimova, Sevara Begmatova, Gulshan Aliyeva, Abdulaziz Mattiyev
THE SURVEY OF CLUSTER BASED DATA COLLECTION PROCESS FOR IOT ENABLED WIRELESS SENSOR NETWORK USING SEVERAL OPTIMIZATION TECHNIQUE
Offers a detailed analysis of optimization algorithms and routing protocols are created to overcome the issues on energy efficiency with the Internet of Things (IoT) Enabled Wireless Sensor Networks (WSNs). The study analyses nature-based metaheuristic methods such as the Genetic Algorithms, Particle Swarm Optimization, Firefly Optimization, Gray W...
By R. Abrami, K. Sathishkumar, Liu Guanzhou, M. Ramalingam, Wasim Ahmad, Ali Bostani
DYNAMIC TALENT INNOVATION ECOSYSTEM FOR OPTIMIZING TALENT ACQUISITION, DEVELOPMENT, AND INNOVATION SCALING IN SOFTWARE ENGINEERING
The nature of software engineering is ever-changing and needs smart, intelligent, and innovation-enhancing solutions for talent management. In this paper, we describe our statistically validated dynamic Talented Innovative ecosystem (DTIE) that aims to improve innovation scaling in software engineering through AI-enabled analytics, data-driven recr...
By S. Krishnadas, Ramya Thiyagarajan
EXPLORING ABG IMBALANCES IN ICU PATIENTS USING MACHINE LEARNING SUPERVISED ALGORITHMS
Arterial Blood Gas (ABG) analysis is an important diagnostic tool in intensive care unit (ICU) settings that provides valuable information about the patient's respiratory and metabolic status. However, in the absence of predictive information, when testing is over-utilized or not planned, it can cause discomfort to the patient, costs to the healthc...
By S. Ramadoss, A. Kumaravel
RELIABILITY AND VALIDITY OF THE DIGITAL VERSION OF THE MODIFIED STANDARDIZED NINE HOLE PEG TEST WITH AN AUTOTIMER
Objective: Manual dexterity is the capacity to move the fingers and hands in a coordinated way to grasp and manipulate things. It depends on the interaction of musculoskeletal and neurological systems to make precise and intentional motions. The study's main goal is to compare the traditional Nine Hole Peg Test with a stopwatch with the dmS-NHPT wi...
By D. Mythili, K. Narayanasamy, V. Balchandar, K. Kotteeswaran, S. Kalpana
FROM THEORY TO PRACTICE THE COMPREHENSIVE BENEFITS OF INTEGRATING AI IN EFL TEACHING AND HOW IT'S SHAPING THE FUTURE OF LANGUAGE EDUCATION
Artificial Intelligence (AI) software has enormous potential to remain a versatile teaching tool that is of great interest to academicians and educators. This qualitative case study was intending to apply AI in foreign language teaching. It bridged a research gap by examining the potential applications, benefits and drawbacks of this novel method. ...
By Dhina Suresh
PHILOSOPHY OF SUSTAINABLE ARCHITECTURE AND THE ETHICAL DIMENSIONS OF SMART BUILDINGS AND IOT INTEGRATION
The paper will discuss the intersection between sustainable architecture and the next generation of smart technologies with reference to the use of Internet of Things (IoT) systems in smart buildings. It aims to investigate the positive results of IoT-based smart buildings regarding the environmental performance and to discuss the ethical issues co...
By Umid Kamalov, Alisher Rajabov, Manzura Satimova, Firuza Abdulkhairova, Kamola Ibragimova, Zilola Rakhmatillaeva, Dilorom Eshkuvatova, Sullieva Suluv
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
FEATURE SELECTION METHOD USING HYBRID SWARM WITH IMPROVED FUZZY C-MEANS CLUSTERING IN DATA MINING FOR DISEASE DETECTION
A crucial method for reducing the dimensionality issue in DM (Data Mining) tasks is FS (Feature Selection). Conventional techniques for FS do not scale well in vast spaces. The HPSO-IKM approach has a rather long processing time, so future studies will keep enhancing the technique's stages to reduce the duration of detection. PSO's poor local searc...
By M. Birundha Rani, Dr.A. Subramani
LOW-COST REMOTELY-OPERATED VEHICLE NAVIGATION WITH GPS AND RF LORA INTEGRATION
In recent decades, remote-controlled vehicles (ROVs) have attracted significant attention because of their potential applications in healthcare, medicine, agriculture, and civilian information. In this article, we investigate the development of low-cost mobile robots equipped with a global positioning system (GPS). GPS-assisted robot is used to pro...
By Huu Khoa Tran, Viet Thang Le, Thanh Trang Tran, Van Dung Nguyen