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Smart grids are a major improvement on the conventional electrical grids as they incorporate digital communications, automated control, and sophisticated sensing systems in order to maximize power generation, distribution, and utilization. The paper will examine how Artificial Intelligence (AI) can be used to optimize energy systems in smart grid s...

By Priya Vij, Ashu Nayak

Purpose- The main objective of the proposed paper is to create and implement a real-time wearable health monitoring system based on IoT, i.e., Oxy Sense-Wear, that will enable the constant control of the main physiological parameters, such as ECG, EMG, SpO2, body temperature, and physical activity. The system is aimed at long-term surveillance of t...

By M.N. Vimal Kumar, M. Pravin Kumar

High-precision crop type mapping is fundamental for agricultural monitoring, food security assessment, and sustainable land management. Recent breakthroughs in Earth observation and machine learning (ML) have greatly enhanced the potential for satellite data to capture crop phenology, spatial variability, and temporal variations. This paper conduct...

By Benazir Meerasha, K. Martin Sagayam, P. Malin Bruntha, Jasmine David, Vasu Koduri

The sophistication of the contemporary code has augmented defect prediction (SDP) with vital concerns like severe imbalance in classes, high redundancy of features and failure of conventional techniques to gain the rich semantic and structural context of a source code. The model suggested within the current paper is HDA-SE-GFF that has Semantic-Enr...

By P. Bhavani, N. Danapaquiame

The study fills the gap in the current understanding of available legal safeguards and the actual inclusion of transgender workers that, despite constitutional and legislative requirements in India, there is still no equal access to work-related facilities, computerized systems, and company policies. In order to fill this gap, the research will use...

By Bhargabi Baruah, Sonika Bhardwaj

The Internet of Things (IoT) is a rapidly developing industry that currently requires effective monitoring systems to process data in real time and make decisions. In this paper, a new method of multi-hop signal transmission in the IoTs is suggested to be combined with dynamic feedback loops embedded in the Oracle APEX-based monitoring systems. The...

By Srikanth Reddy Keshireddy

The evolution of traditional microgrids to integrate distributed renewable energy sources, such as solar and wind, has transformed them into complex cyber-physical systems (CPSs). While this enhances sustainability, it introduces challenges related to intermittency, uncertainty, and real-time operational decision-making. A major concern is the reli...

By Anjali Krushna Kadao, Sanjay Kumar

Precision agriculture using smart technologies has transformed sustainable crop management to solve the problem of rising food security, resource optimization, and environmental sustainability. In precision agriculture, modern hardware, including Internet of Things (IoT) sensors and objects, drones, and artificial intelligence (AI), is used to boos...

By Lalit Sachdeva, Utkarsh Anand

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

December 2024 Original scientific article
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