The paper discusses the application of behavioral economics in consumer decision-making in the sustainable product market. Behavioral economics is contrasted to the traditional economic theory, which assumes rationality of choices based on the maximization of utility, where behavioral factors, including psychological biases, social norms, and emoti...

By Arasuraja Ganesan, R. Velanganni, Vijayakanthan Selvaraj, M. Rajapriya

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

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

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

The combination of digital tools and Building Information Modeling (BIM) is an innovative force in the field of architecture and construction management studies. These technologies offer the students a more practical and engaging learning experience, which is more reflective of the practices in the industry. Through the integration of BIM and other...

By Zafar Matniyazov, Zilola Rakhmatillaeva, Mirkomil Gudalov, Tolqin Irgashev, Munira Umarova, Khusniddin Ruziyev, Sevara Berdimurotova, Gulnoz Murotova

The rapid growth of the Internet of Things (IoT) brings new options to innovative healthcare, transportation, and industrial systems. However, this expansion also increases cyber threats to these infrastructures. Standard anomaly detection systems use fixed machine learning models. Such models require frequent retraining and are not very sensitive ...

By Ashraf Thaker Mahmood, Qais Rashid Ibrahim

Even though agriculture is now one of the most technologically advanced civilian industries, there is still a big gap between the innovations that are available and how they are actually put into practice, particularly in areas where traditional supervision methods are predominant. This study looks at how farmers' ability to implement precision agr...

By Shoira Bobomuratova, Kurbonalijon Zokirov, Najimiddin Jumakulov, G'ofur Allamuratov, Oybek Ulugbekov, Muhabbat Mullajonova, Avazbek Turdunov

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

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

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