WSNs are critical to the contemporary IoT and monitoring, yet the energy constraint, inefficient performance of cluster head (CH) selection, and fluctuating routing diminish the network lifetime and reliability. This paper will introduce a solution to these issues by proposing a Hybrid Whale -Grey Wolf Optimizer (HWGWO) to select the adaptive and e...

By K. Chandrasekhar, G. Prabakaran, P. Dileep Kumar Reddy

Among the most important aspects of the cultural heritage of mankind, rock art and natural shelters have both aesthetic and practical purposes, as well as help to improve the psychological state, symbolic communication, and ergonomics. The paper examines rock art and natural shelters in three major frames, namely: (1) their symbolic and psychologic...

By Mehmet Sarıkahya, Serap Paçal, Ersan Sarikahya

The rise of AI technology has greatly transformed the traditional PMS and improved its effectiveness and reliance on data in HRM. This study mainly aims to identify the essential variables determining the implementation of AI in PMS, including the benefits, ethics, challenges, and impacts. The descriptive research methodology was used by means of a...

By K. Nivethaa, Annie Sam

The balance between occupational pressures and family obligations continues to be a consistent issue in technical organizations because of their highly scheduled structure, shifts in production systems, and command organization culture combined with deep-rooted cultural traditions. This research focuses on the effect of ethnopsychological character...

By Olmosbek Eshmuradov, Salim Doniyorov, Shohida Jumayeva, Nigora Turaeva, Muxayyo Karimova, Kamola Sadirova, Gavhar Mengliyeva

It is still very hard to predict addiction rehabilitation outcomes at the time of admission since current methods of evaluation do not recognize the interconnection between an individual's biomedical state and personality functioning. In this paper, Introduce Biomedical Assessment Framework for Evaluating Adaptive Personality Potential (BAF-APP), w...

By Nodira Makhkamova, Laylo Juraeva, Umurzak Jumanazarov, Mamuraxon Umaralieva, Mahfuza Sangirova, Nilufar Karimova, Fotima Gazieva

The detection of fabric defects through automation is important for ensuring the quality of the textile material because traditional detection methods are not only very time-consuming but also subjective and cannot be applied during the process of production. The traditional models that use techniques of image processing and deep learning have vari...

By Deepti Patil, Ambika

Mental-health NLP (Natural Language Processing) remains strongly English-centric, limiting language-inclusive digital health technologies for low-resource languages such as Tamil. This study investigates whether multilingual representation learning can transfer a specialised mental-health classification task to Tamil and whether bilingual English&n...

By Deivanai Gurusamy, Midhunchakkaravarthy Janarthanan

This study investigates the geochemistry of oil shales from the Ab Kaseh section in western Kohrang, Chaharmahal and Bakhtiari Province, Iran. Ten shale samples were collected for geochemical analyses, including Rock-Eval pyrolysis and XRF/ICP analyses. Ten thin sections were also prepared for petrographic analysis. A stratigraphic column and depos...

By Milad Tahmasebi, Farhad Ehya, Ghodratollah Rostami Paydar

Measuring small flow rates often requires expensive equipment and is associated with inherent limitations. In practice, various measuring structures, such as weirs, are commonly constructed at specific locations to facilitate flow measurements. This paper proposes an innovative and low-cost measurement structure made from sewer pipes, incorporating...

By Petar Praštalo, Anica Milanović

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