Influential node detection in networks is vital in diverse applications, particularly with the online social networks (OSNs). Measures of centrality, traditional ones, fail to sufficiently describe the influence of nodes on complex and multilayered networks. This paper presents a novel hybrid method that combines traditional topological centrality ...

By CS. Saradha

Sentiment analysis (SA) is important in comprehending the opinions and online discussions of people in different languages, particularly in high-resource and low-resource languages. In the present paper, a new model of transfer deep learning is presented, which incorporates cross-lingual embeddings in an attempt to boost sentiment analysis in both ...

By Jayaprakash Vattikundala, M. Siva Ganga Prasad

The study will be conducted to complement the diagnosis of proximal caries lesions that are difficult to improve due to their location between the teeth, as shown in Near-Infrared Light Transillumination (NILT) photographs. It was proposed to enhance caries detection with a semantic segmentation model based on YOLOv11, which is more specific in det...

By Asma Alatawi, Wdaee Alhalabi, Hani Nassar, Arwa Basbrain, Hattan Jamalellail, Mohammed Alsadat

This research paper examines how the strategic marketing analytics, which combines big data, artificial intelligence (AI), and knowledge management can be used to improve the competitive advantage in data-driven markets. The research tests the effectiveness of AI-driven analytics in enhancing the performance of the market, customer high retention a...

By M. Venith Vijay, Vijayakanthan Selvaraj, R. Muzhumathi, P. Sundara BalaMurugan

The article explains the interrelation of stratigraphy to mineralogy for geological history. Stratigraphy is the study of the layering of rocks and it deals with chronology, very important in understanding the past environments of the Earth. Mineralogy is the study of minerals and their properties and is able to give insight into the conditions und...

By Orzikul Khakimov, Olim Ortiqov, Nazira Ramazanova, Botir Okbutaev, Oliya Mukhammadieva, Uktam Abdinazarov, Abdumalik Khamidov, Khuriyat Khudoymurodova

Urban architecture's role is vital in creating an inclusive environment for visually impaired people and affording them easy accessibility in navigating through the built environment. This paper debates the essential principles of urban design, which focus on tactile, auditory, and sensory elements to accommodate visually impaired people. It underl...

By Alisher Doniyorov, Jurabek Polvonov, Shakhnoza Jalolova, Zilola Sattorova, Manzura Yakubova, Otabek Gaybullaev, Azam Abdullaev, Abdikhalik Abdukarimov

The third most prevalent form of cancer globally in both men and women is colon cancer which affects the digestive tract and occurs in the human body's greater intestine develops from certain polyps are tiisues that grow inside the colon of various sizes which at later stage can develop into a cancer cell. The tissues are taken from colon using bio...

By B. Senthil Kumar, S. Karpagavalli, K. Keerthana, A. Krishnaja

In nature, the bucking behavior of the web of I section reduces the member's strength considerably. Hence, in common practice, people use the intermediate and end stiffeners to improve the strength of the beam. The stiffeners are connected to the web using the welded connections. In this paper, the experimental study on steel beams with and without...

By S. Kalaiselvi, R. Santhosh Kumar

In the telecom sector, which generates vast amounts of data daily due to its extensive client base, retaining present customers is more cost-effective than attaining new ones. Business analysts and CRM specialists must comprehend the reasons behind customer churn and identify behavioral patterns within client data. This study develops a churn forec...

By N. Rakesh, B.A. Mohan, U. Kumaran, G.L. Prakash, Rajakumar Arul, Kalaipriyan Thirugnanasambandam

To reduce road traffic accidents, it is mandatory to identify and analyze road network blackspots with a high accident rate. This analysis aims to develop a framework to analyze the severity of blackspots for travelers using the Python programming language. The proposed study uses accident data to identify the black spots. Python programming ...

By Nishant Singh, Sunil Kumar Katiyar