This paper introduces a new way to use UAVs in the 5G wireless network, based on Fuzzy C-Means (FCM) clustering and Transformer architecture for improved coverage, less energy consumption, and better Quality of Service (QoS). The new method improves user grouping by incorporating fuzzy distance functions into the FCM algorithm and it further trains...

By Sajjad H. Hasan, Mehdi Hamidkhani, Nasseer K. Bachache, Keyvan Mohebbi

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

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

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

The transition to low-carbon urban transport has catalyzed interest in hybrid hydrogen-electric powertrains for connected autonomous vehicles (CAVs), which offer zero tailpipe emissions, long driving range, and the potential to refuel quickly. The paper proposes a system-level optimization model for hybrid hydrogen-electric powertrains in urban tra...

By Anjali Goswami, Anjali Krushna Kadao

The Recency-Frequency-Monetary (RFM) model is a widely used method for customer segmentation, but its effectiveness depends on selecting the appropriate variant (e.g., weighted or entropy-based) for a given dataset. This selection process is typically manual and task-specific, leading to inconsistent results and limited generalizability. To address...

By F. Mary Magdalene Jane, V. Pream Sudha, S. Saranya, P. Usha, V. Santhana Lakshmi, S.R. Kalaiselvi

Introduction: The 6G world requires connected intelligence, but there is a crucial paradox between the standards of Large Language Model (LLM) and edge constraints. The premium devices have up to 6-12GB of DRAM, whereas the typical 175B models need 350GB of storage, which is 30 times that of the premium version.  Literature Survey: It has been...

By Reji K Kollinal, Mariya T Cheeran

An environment that is characterised by a high rate of technological change, short product life cycle, and fluctuating market demand demands a high level of technology, and therefore, the conventional project management approaches may no longer be effective. This paper analyzes how agile project management strategies can be used to support cross-fu...

By M.N. Prabadevi, P.A. Mary Auxilia, B. Jeyaprabha, N. Zeenath Zarina, M. Menaka

The aim of the research is to assess the applicability of robotics and automation technologies to enhance safety performance and operational efficiency in mining operations in surface, underground, and coal mining settings. A mixed-methods and systematic approach was embraced, which involved the secondary data through peer-reviewed publications, in...

By Parvindar Kaur Chhabda, Arvind Kumar Saxena

The stability of smart grids (SG) plays a critical role in improving the stability of power supply, particularly when system failures or sensor breakdowns could occur and result in a lack of input data. This paper provides a new method of prediction of smart grid consistency by using a Gradient Policy prediction model, which is based on reinforceme...

By S. Mahendran, B. Gomathy