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

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

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

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

The medieval period was a time of great architectural innovation, largely due to structural design and material technology advances. From roughly the 5th through the 15th century, new ways in constructing buildings greatly impacted the current face of Europe and the Middle East. Some of these innovations included the invention and use of pointed ar...

By Dilfuza Teshabaeva, Makhliyo Umarova, Nodira Babadjanova, Malokhat Pulatova, Akhrarkul Pardaev, Otabek Khidirov, Shirinoy Kamolova, Zarina Turabayeva

Understanding the impact of geological processes on the environment is very important in comprehending Earth's evolving ecosystem and predicting future ecological challenges. This paper reviews how interactions between different Earth layers-the crust and mantle, affect ecological dynamics. Geological interactions, including tectonic shifts, minera...

By Azamat Saidov, Zukhra Yakhshieva, Nodira Makhkamova, Mirkomil Gudalov, Nilufar Djuraeva, Oybek Umirzaqov, Ozoda Adilova, Anvar Juraev

The coal mining industry is one of the industries that possess inherent risks since workers are faced with a range of risks that include health risks, the extreme environment, and geology. To address these daunting tasks, we propose the deployment of an Integrated Safety and Monitoring System (ISMS) enhanced with LoRaWAN and IoT gadgets. A wide ran...

By E. Veera Boopathy, M. Shanmugasundaram, N. Shanmuga Vadivu, S. Karthikkumar, R. Diban, P. Hariharan, A. Madhan

Coal mining education needs to be integrated with environmental conservation and sustainability principles so that a new generation of environmentally responsible mining professionals will be developed. This paper discusses how ecological awareness and sustainable practices need to be taught in educational programs related to coal mining to overcom...

By Rahbar Khalikova, Feruza Jumaeva, Azizbek Nazarov, Mohinur Akmalova, Feruza Umarova, Elbek Botirov, Larisa Khaydarova, Mukaddas Abduraimova