Within SAP ERP systems, large-scale enterprise environments grapple with financial transaction reconciliation along with compliance monitoring as some of the most intricate and error-prone processes. This research examines automating reconciliation processes augmented with real-time compliance monitoring through the integration of RPA into SAP S/4 ...

By Nagendra Harish Jamithireddy

This study presents an advanced nonlinear numerical analysis using ABAQUS to assess the blast resistance of curved rubber-reinforced concrete (RRC) barrier walls. Four types of concrete, normal concrete (NC), and rubberized concretes with 10%, 30%, and 50% rubber particle volume fractions (RC10, RC30, RC50) were modeled and evaluated under blast lo...

By Islam Ali Mahmoud, Ashraf A. A. Beshr, Ahmed E. Sedawy

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

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

The study examines the revolutionary concept of social media in determining the political environment of the youth (ages 18-35) in emerging economies, whereby many traditional democratic institutions are typically challenged by structural and transparency factors. By the beginning of 2025, more than 62 % of the world population will be linked throu...

By Abduqahhor Rakhmonov, Oltinoy Masalieva, Amanlik Gulimov, Olimjon Xolov, Mardonbek Rajapov, Nodira Khodjaeva, Timur Mukhamadiev, Olimjon Gaimnazarov

The manufacturing industry around the globe is now facing one of the most nervous upheavals in history, wherein the prediction of financial performance now ranks among the most crucial processes of production. In the case of technology-intensive companies, standard planning may not be as precise as it needs to be to cope with high capital intensity...

By Shinki Katyayani Pandey, Mariyam Ahmed

The 6G wireless networks will be used in autonomous systems, extended reality, digital healthcare, and large-scale cyber-physical infrastructures, making it possible to provide applications they previously did not know to be intelligent and ultra-reliable communication. Nevertheless, 6G networks are quite complicated and heterogeneous, which are ch...

By P. Karunakaran, Ali Bostani, Salomov Gulom, S. Shantha Kumar, V. Manimala, T. Velmurugan, R. Praveenkumar

The concept of monitoring conditions with the help of AI has become a significant aspect of Industry 4.0 that enhances machine reliability and provides predictive maintenance. However, the models of anomaly detection based on deep learning are not readily implemented because of their lack of interpretability. The article introduces a novel anomaly ...

By M. Mohamed Musthafa, A. Aafiya Thahaseen, R. Arulmozhi, S. Mohammed Ibrahim, S. Sangeetha, M. Rabiyathul Fathima, M. Gowthami, P. Esaiyazhini

This paper introduces a new E-voting system that uses the consensus algorithms to ensure secure, efficient, and transparent voting processes on the basis of blockchain. The suggested model combines a number of cryptographic methods and consensus algorithms to overcome the current issues related to the traditional voting systems, including slow proc...

By V. Malathi, R. Jaichandran

The sophistication of the contemporary code has augmented defect prediction (SDP) with vital concerns like severe imbalance in classes, high redundancy of features and failure of conventional techniques to gain the rich semantic and structural context of a source code. The model suggested within the current paper is HDA-SE-GFF that has Semantic-Enr...

By P. Bhavani, N. Danapaquiame