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
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, S Prasath, M Praneesh, K Sathishkumar, Gulnora Gulyamova, Sayanika Deka Sarma, P Dharmendra Kumar
BRIDGING THE GAP BETWEEN KNOWLEDGE MANAGEMENT AND DIGITAL TRANSFORMATION: THE CRITICAL ROLE OF DIGITAL LITERACY, ORGANIZATIONAL CULTURE
This paper explores the connections between knowledge management (KM), digital literacy (DL), organizational culture (OC) and digital transformation (DT). It investigates the role of KM on the usage of DL and OC and how both are interplaying determinants of successful digital change. To examine these relationships, the study conducted a path analys...
By Rehmat Shah, Muhammad Naeem Sarwar, Saba Hanif, Zubair Younas
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
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
INTEGRATING INDUSTRIE 4.0 AND MANAGEMENT INFORMATION SYSTEMS FOR IMPROVED DECISION-MAKING EFFECTIVENESS IN MODERN ORGANIZATIONS
Integration of Industrie 4.0 technologies with the Management Information Systems (MIS) has become a vital approach to improving effectiveness of the decision-making process in modern organizations. Cyber physical systems, the internet of things (IoT), big data, and artificial intelligence (AI) are the tools for companies of Industrie 4.0, which me...
By C. Rajkumar, Gajraj Singh, Arun Khatri, Zokir Sodikov, Chaitanya Niphadkar, Tanima Tarafdar, Baratov Khakimbek Abdufattokhovich, K. Sathishkumar
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
ECONOMIC IMPLICATIONS OF GEOTECHNICAL ENGINEERING AND ITS INFLUENCE ON MODERN INFRASTRUCTURE AND EARTHQUAKE RESILIENCE
In the current era, geotechnical engineering plays an important role in designing, constructing, and maintaining buildings and other forms of infrastructure. Geotechnical engineering plays an important role in ensuring that the infrastructure is built safely, stably, and strongly capable of withstanding natural disasters such as earthquakes. The ec...
By Shaxnoza Norkulova, San'atjon Rajabov, Nafisa Xujayarova, Oysulton Dovranova, Samidullo Elmurodov, Shakhnoza Alieva, Mutabarkhon Umurzakova
A COMPREHENSIVE ANALYSIS OF THE ROLE AND IMPACT OF CHATBOTS IN HIGHER EDUCATION
Concerns about the application of AI, for instance, include issues of morality, accuracy, and trust. AI chatbots recently transformed educational systems around the globe. They are available for more than just simple queries; they can provide explanations, additional material and support for learning whenever required. Chatbots may also take the fo...
By Vandita Sharma, Nitu Sehrawat, Manisha Verma, Ruchi Sharma, Anil Kumar
CORPORATE RESOURCE PLANNING SYSTEMS AND THEIR ROLE IN DEVELOPING VALUE CHAIN PERFORMANCE RESEARCH APPLIED IN THE DAIRY INDUSTRY COMPANY
The study explores how Enterprise Resource Planning (ERP) systems can enhance value chain performance in the dairy manufacturing sector. The paper aims to evaluate the role of ERP-based enhancements in integrating processes, improving efficiency, and coordinating resources to create value along the value chain. The study uses an analytical research...
By Khaled Jamal Fadhel