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In the process of multi-party collaborative data sharing, the power grid supply chain system often faces security risks such as data islands, privacy leakage and tampering risks. It is urgent to establish a security management mechanism that takes into account efficiency and credibility. To this end, this study proposes a power grid supply chain da...

By You Wen, Mingjun Tang, Yijun Yang, Hong Luo

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

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

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

The EduGrowth model will maximize student success and academic achievement through a combination of individualized learning approaches, student service, and student data-based decision-making. The paper discusses the main aspects of the model and its implementation in learning institutions. It emphasizes the need to customize learning strategies ac...

By Najmitdinov Akhadkhon Khamitdkhanovich, Ibragimov Ulmas Rakhmanovich, Azizov Azizbek Sabitkhanovich, Dadajon Dadabayev Rustamovich, Abdumutalliev Abdulakhad Abdusamad ugli

Uzbekistan is a country in the post-colonial environment of Central Asia, which has undergone a stage of rigid isolationism before passing to the stage of authoritarian modernization. This article examines how social movements have been changing to affect policy change in this particular geopolitical region. However, the traditional position regard...

By Mirkomil Gudalov, Nemat Kushvaktov, Dilrabo Quvvatova, Elvina Azimova, Nafisa Samatova, Aynur Yeshmuratova, Rustamjon Khudayberdiyev, Umida Usmonova

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

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

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 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