Regular Issues
A V N CHANDRA SEKHAR
India
Jawaharlal Nehru Technological University Kakinada (JNTUK)
Railway transportation plays a vital role in public and goods movement, but accidents caused by track faults remain a major safety concern. This paper presents an Internet of Things (IoT)-based Railway Track Fault Detection System designed to monitor and identify track irregularities in real time. The proposed system uses smart...
A V N CHANDRA SEKHAR
India
Jawaharlal Nehru Technological University Kakinada (JNTUK)
Rapid urbanization and population growth have led to severe traffic congestion, delays, and increased pollution in modern cities. To address these challenges, this paper proposes an Intelligent Traffic Management System (ITMS) based on the Internet of Things (IoT). The system integrates smart sensors, cameras, and wireless communication technologies to monitor...
Srinadh Unnava
India
SASI Institute of Technology & Engineering
The stock market is a dynamic and complex system influenced by numerous economic, social, and political factors. Accurate prediction and analysis of stock market trends have become essential for investors and financial institutions to make informed decisions. This paper presents a study on the erudition (learning) and contemplation (analysis) of...
S. Phani Kumar
India
SASI Institute of Technology & Engineering
Academic integrity is a critical aspect of modern education, and detecting unethical practices such as cribbing or plagiarism has become a major challenge in digital learning environments. This paper presents a study on the cognizance (awareness and detection) of cribbing using data excavation techniques, also known as data mining. The...
Satish Dekka
India
Lendi Institute of Engineering and Technology
Wireless Sensor Networks (WSNs) consist of numerous sensor nodes that operate collaboratively to monitor and transmit environmental or structural data. However, due to their limited power supply and computational capacity, energy efficiency remains one of the most critical challenges in WSN design. This paper presents the development of a power-efficient...
YEGIREDDI RAMESH
India
Aditya Institute of Technology and Management
Driver fatigue and drowsiness are major causes of road accidents worldwide, emphasizing the need for an efficient and reliable detection system. This paper presents a Drowsiness Detection System based on Convolutional Neural Networks (CNNs), designed to monitor driver alertness in real time. The proposed system captures facial images using a...
YEGIREDDI RAMESH
India
Aditya Institute of Technology and Management
Phishing is one of the most prevalent cyber threats, where attackers deceive users through fraudulent websites or URLs to steal sensitive information such as passwords and financial data. This paper presents a Machine Learning (ML)-based approach for phishing URL detection to enhance cybersecurity and protect users from online scams. The...
T. Chalapathi Rao
India
Aditya Institute of Technology and Management
Accurate classification of cancer data plays a vital role in early diagnosis, effective treatment planning, and patient survival prediction. This paper presents a comparative analysis of various machine learning classification algorithms applied to cancer datasets. The study evaluates algorithms such as Decision Tree, Support Vector Machine (SVM), Random Forest, K-Nearest...
Pudi Ganesh
India
Lendi Institute of Engineering and Technology
The rapid growth of wireless communication has led to an increased demand for radio spectrum, resulting in inefficient spectrum utilization and congestion in conventional networks. Cognitive Radio Networks (CRNs) offer a promising solution by enabling dynamic and intelligent spectrum access through spectrum sensing, learning, and adaptation. This paper focuses on...
Bosubabu Sambana
India
Mohan Babu University
Air pollution has become a major environmental concern affecting human health and climate worldwide. To address this issue, this paper proposes an Air Pollution Monitoring and Prediction System based on the Internet of Things (IoT). The system employs smart sensors to measure key air quality parameters such as CO₂, CO,...
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