All of the articles in this proceedings volume have been presented at the MEEMS-CISC-2024 during 20-21 December 2024 in Shri Madhwa Vadiraja Institute of Technology & Management (SMVITM) Bantakal, Udupi, India,. These articles have been peer reviewed by the members of the Review committee and approved...

Counterfeit currency poses a significant threat to financial systems around the world. In this study, an innovative approach to coun- terfeit currency detection and classification is proposed leveraging the power of deep learning. The proposed system integrates deep learning models, each trained to identify...

The broad accessibility of digital image editing tools has been resulted in a significant increase in image forgery, raising serious concerns about the authenticity of visual content. This paper presents a comprehensive comparison of various image forgery detection algorithms, including Convolutional...

In the present world, most of the activities of humans are assisted and supported by technology which makes life easier. Robots (Bot) are increasingly being integrated into industries to support humans. Many remote-controlled, Bluetooth-controlled bots work on the user commands. These conventional methods...

The proposed novel biometric recognition system uses ingerprint and inger vein biometrics to improve identity veriication systems’ accuracy, reliability, and security. Here, we performed both the ingerprint and inger vein separately to develop a robust recognition system, as these two biometric traits...

A deep learning solution for detecting rice leaf diseases based on the YOLOv9 architecture is presented in this research. We utilize a dataset comprising ten distinct classes, representing critical rice diseases: Bacterial Leaf Blight, Brown Spot, Healthy, Leaf Blast, Leaf Scald, Narrow Brown Spot, Neck...

This study introduces an AI-powered system using a customized ResNet50 model to enhance lung disease diagnostics through image analysis. Our model accurately classifies lung conditions, including adenocarcinoma, squamous cell carcinoma, and benign tissue, achieving 93.25% accuracy compared to the standard...

The integration of numerous modes of transportation is critical for improving urban mobility, reducing traffic congestion, and encouraging environmentally friendly travel. In order to maximize connectivity across different transportation services, such as buses, trains, and last-mile options, this study...

This paper discusses advancements in AI-enhanced signal detection and localization under 6G networks, focusing on high frequency bands and complex interference patterns. It highlights AI frameworks like machine learning, deep learning, and reinforcement learning for improved signal processing, localization,...

Convolutional Neural Networks (CNNs) have shown great promise in handling the challenging task of classifying MRI images, particularly in the identification of brain tumors and the diagnosis of Alzheimer’s disease. Finding the ideal values for these parameters can still be difficult because of the complexity...

Alzheimer’s disease (AD) and mental illnesses present significant challenges due to their progressive nature and limitations in current treatments. This study examines the potential of integrating Artificial Intelligence (AI) and Virtual Reality (VR) in neurorehabilitation to enhance cognitive functions...

Student safety remains a paramount concern for educational institutions, particularly during transit. This paper introduces Secure School, a comprehensive student safety management system that deploys Radio Frequency Identification (RFID) technology to enhance monitoring, tracking, and predictive analysis...

In modern college hostels environment, securing student’s belongings while maintaining efficient access control is paramount. This paper suggests a complete solution that tracks hostel students’ login and logout histories and offers secure storage amenities using RFID tags and a GSM system. Furthermore,...

This project aims to compare the performance and implementation complexity of the Array Multiplier and Vedic multiplier, two key algorithms in digital multiplication. Hardware models for both multipliers will be developed using Verilog. The designs will be simulated to verify functionality and tested...

Navigating safely and independently is a significant challenge for visually impaired individuals, especially in crowded or unfamiliar environments. By creating a real-time navigation tool intended to improve mobility and independence, our work tackles this problem. The system employs a single camera...

This project introduces an innovative real-time vision-based system designed to recognize finger spelling and interpret sign language for readabil- ity in text. Leveraging advanced computer vision and NLP techniques, the meth- odology employs a two-layer prediction algorithm built on Convolutional Neural...

This work presents a stock price prediction system that combines market trend analysis and sentiment insights using modern machine learning methods. The primary goal is to provide accurate short-term stock price forecasts by integrating historical stock data, technical indicators, and sentiment analysis...

Presently, research focuses on the study of Corn Husk Fibers (CHF) and their composite, also on the fiber drawing process and some of the properties such as chemical, physical, and mechanical, moreover concentrating on biodegradable natural fibers. Corn husk is a Natural fiber that has gained much scope...

The paper presents a plant-inspired organic photovoltaic (PV) cell that leverages the natural photosynthetic processes of plants to create a sustainable solar energy solution. The solar cell uses chlorophyll and activated charcoal as the main renewable energy ingredient. The photovoltaic material aids...

This study presents a comparative investigation of the mechanical characteristics and quality of concrete by partially substituting cement with Alccofine, while utilizing granite dust as a fine aggregate. The primary objective is to evaluate the synergistic effects of these supplementary cementitious...

In this work, the composites of Al2219 alloy are synthesized with increasing wt.% of silicon nitride particles by squeeze casting method. Al2219 composites with 12, 14, and 16 wt.% of silicon nitride reinforcement are studied for the impact on hardness and compressive strength. There is a considerable...