EXPLORING THE ROLE OF DIGITAL TWINS IN ENHANCING OPERATIONAL EFFICIENCY AND DECISION-MAKING IN INDIAN MANUFACTURING FIRMS
Indian manufacturing companies are progressively implementing Industry 4.0 technologies to enhance the level of operational efficiency and the managerial decision-making process; nevertheless, there is limited empirical evidence of how the adoption of the Digital Twin (DT) affects performance, especially in the emerging economy environment. This re...
By Roohee Khan, Ashu Nayak
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
THE FACULTYMAX MODEL FOR ENHANCING FACULTY PERFORMANCE AND ACADEMIC EXCELLENCE
Academic excellence is highly valued by faculty performance. The conventional faculty review systems tend to fail to give a holistic evaluation of faculty input in teaching, research, and service. FacultyMax Model is a multidimensional framework presented in this paper to improve the performance of the faculty based on the data analysis, incessant ...
By Abdusamiev Dilmurod Abdugani Ugli, Mamajonov Dilshodbek Adxamovich, Ortikov Elyor Abdumajidovich, Bekmirzayev Mirjalol Xusanboy Ugli, Abdullayeva Shakhnoza Anvarovna
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
CNN - GA - DRIVEN ADAPTIVE OPTICAL COMMUNICATION FRAMEWORK FOR LOW-LATENCY FIBER TRANSMISSION
The growing need to improve the speed and quality of communication networks currently discussed in this paper is motivated by the uncontrolled increase in the world data traffic. Although fiber optic is essentially well placed to satisfy this requirement, it has long term problems like scattering, distortion nonlinearity and oscillating noise. The ...
By Alyaa Ali Hameed, Ibrahim Khalil Sileh, Saad Mohsen Hazzaa
IMPLEMENTING AGILE METHODOLOGIES FOR ENHANCING PROJECT MANAGEMENT AND BUSINESS GROWTH IN INDIAN STARTUPS
The Indian startup environment is both volatile and fast-paced, requiring the project management models to be both fast and scalable. Although Agile tools are widely used, most ventures fail to realize the implementation of technical features into business expansion. The crux of the matter is a Hierarchy where a traditional top-down management stru...
By Ashish Kumar Sahu, Shilpi Nishant Tanwani
DEVELOPMENT OF A HYBRID AI-DRIVEN WATER MANAGEMENT SYSTEM FOR URBAN AREAS IN INDIA
This article introduces a cutting-edge solution, called the Hybrid AI-Driven Water Management System, to solve the critical issues of managing water resources in urban India. Most major Indian cities suffer from an increase in demand for water, poorly managed pipe networks, and an excessive amount of water being wasted due to leaks and other outdat...
By Sanjay Kumar, Sapna Bawankar
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
A ROBUST MACHINE LEARNING-BASED ENSEMBLE LEARNING FRAMEWORK FOR HATE SPEECH DETECTION IN LOW-RESOURCE SOCIAL MEDIA TEXT
The low-resource social media text i.e., Urdu tweets containing hate speech are identified with the help of a machine learning-based ensemble approach. The dataset used for this study consisted of 8,800 tweets and half of them were labeled as Hateful and the other half as No-Hate. In preprocessing, we took into account the features of Urdu normaliz...
By Husnain Saleem, Muhammad Javed, Kiran Hanif, Asad Ullah, Muhammad Usman Ghani, Muhammad Waqas, Muhammad Ali Khan, Sheraz Ali Hassan