LANGUAGE OF MINING TECHNOLOGY EVOLUTION AND ITS ROLE IN ADVANCING ENVIRONMENTAL SUSTAINABILITY AND SAFETY STANDARDS
The research paper discusses the history of mining technology and the way it has contributed enormously to the advancement of the degree of environmental sustainability and safety in the mining industry. The paper will discuss the key technological developments in the mining sector, including automation, artificial intelligence, robotization, and e...
By Sobirjon Bazarov, Sardor Norboyev, Ulugbek Kosimov, Yayra Kasimova, Munisabonu Tursunboyeva, Lobar Bakhramova, Matyakubov Maqsad
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
AN ECONOMIC ANALYSIS TO DETERMINE THE CONSUMPTION RATE OF IRAQI CITIZENS FROM LIVESTOCK PRODUCTION IN 2024 (EXCLUDING THE KURDISTAN REGION)
Food security priorities in the nations focus on elements of production of fishes and animals which are crucial elements in the food chains of life. Other countries of the world make every effort to secure the availability of these goods to their citizens and this is achieved by either manufacturing them locally, or in cases where they have no capa...
By Majid Abed Hamza, Isam Abdul Khudhur Saud, Raad Idan Obaid
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
CROSS-PLATFORM HATE SPEECH DETECTION BY TARGET CATEGORY: EVALUATING TRADITIONAL AND TRANSFORMER MODELS ENHANCED WITH SMOTE
Societal and technological challenges are significant when it comes to cyberbullying, which is an ubiquitous issue in the social media space including Twitter, Facebook, YouTube, and Instagram. This paper will focus on the identification of hate speech that targets particular individuals, especially in the context of the data in Hindi language. It ...
By Rachna Narula, Poonam Chaudhary
PREDICTION OF TOXIC-METABOLIC DISORDERS AT EMERGENCY CONDITIONS USING MULTI-LABEL CLASSIFICATION IN MACHINE LEARNING
Diagnosing critical conditions like Acute Liver Failure (ALF), Methanol Toxicity (MT), Alcohol Poisoning (AP), and Diabetic Ketoacidosis (DKA) is difficult due to similar symptoms and complex interdependent metabolism, often resulting in delayed and incorrect diagnoses in historic clinical practice. We present a hybrid machine learning framework in...
By S. Ramadoss, A. Kumaravel
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. Abirami, 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