AUTOMATIC SEGMENTATION OF COLON CANCER USING SAM AI
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
MACHINE LEARNING-DRIVEN STRATEGIES FOR CUSTOMER RETENTION AND FINANCIAL IMPROVEMENT
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
DEVELOPING INFORMATION SYSTEM ON BLACKSPOT SEVERITY FOR TRAVELLERS BY USING PYTHON AND GIS TECHNIQUES
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
UNVEILING GEOLOGICAL HISTORY THROUGH STRATIGRAPHY AND MINERALOGY
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
BILEVEL OPTIMIZED RECURSIVE FEATURE ELIMINATOR FOR CERVICAL CANCER FEATURE SELECTION PROCESS
An immense need has emerged in several areas of biological area for the development of prediction algorithms capable of managing the increasing complexity of high-dimensional information. In developing countries, Cervical Cancer (CC) kills more women than any other disease or accident, and it's the top cause of death among women worldwide. Early de...
By S. Nandhinieswari, A. Indumathi
OPTIMIZING VLSI ARCHITECTURE WITH CARRY LOOK AHEAD TECHNOLOGY BASED HIGH-SPEED, INEXACT SPECULATIVE ADDER
This paper describes the design of the Carry Look-ahead Adder (CLA), which uses the Inexact Speculative Adder (ISA). The speculative adder is designed for high-speed VLSI architecture and features advanced compensation techniques and optimized hardware efficiency. Considered to be the adder's critical path, it is finely pipelined to contain a few l...
By S. Pragadeswaran, M. Vasanthi, E. Veera Boopathy, S. Suthakaran, S. Madhumitha, N. Ragupathi, R. Nikesh, R. Preethika Devi
ENHANCED TRANSFORMER-BASED DEEP KERNEL FUSED SELF ATTENTION MODEL FOR LUNG NODULE SEGMENTATION AND CLASSIFICATION
Lung cancer remains a leading cause of mortality globally, with outcomes heavily dependent on the timeliness and accuracy of diagnosis. Traditional medical imaging techniques, while foundational in detecting lung nodules, often falter in distinguishing malignant from benign lesions with high precision, largely due to their inability to contextualiz...
By R. Rani Saritha, R. Gunasundari
ASSESSMENT OF BLACK SPOTS IN URBAN BHOPAL WITH THE AID OF WEIGHTED SEVERITY INDEX AND KERNAL DENSITY ESTIMATION METHODS
One step toward lowering traffic accidents is identifying the locations of road accident hotspots and the appropriate assessment technique. This study evaluated the effectiveness of kernel density estimation (KDE) and the weighted severity index (WSI) in locating blackspots using the ArcGIS tool. Finding out accident severity levels is necessary to...
By Nishant Singh, Sunil Kumar Katiyar
LORAWAN BASED COALMINERS RESCUE AND HEALTH MONITORING SYSTEM USING IOT
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
EXPERIMENTAL INVESTIGATION ON THE WELD STRENGTH OF THE STEEL BEAM WITH AND WITHOUT STIFFENER
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