All of the articles in this proceedings volume have been presented at the International Conference on Advanced Research in Electronics and Communication Systems, ICARECS 2025 during 26th and 27th February 2025 in SRM Institute of Science and Technology, Vadapalani Campus, Chennai. These articles have...

Approximately about 37 million people across the globe suffer from visual impairment and that more than 15 million of these are in India. The visually impaired person uses braille for the activities of reading, writing and communicating, and usually needs someone for guidance. But in this particular...

Sign languages are a form of non-verbal communication where bodily movements convey specific messages. Sign language involves gestures that have distinct meanings within a cultural or social context. These gestures, however, can vary significantly across different societies. In recent years, the field...

This new approach provides and includes complex architecture based on machine learning techniques for the early detection and diagnosis of anemia by calculating the concentration of hemoglobin in the patients’ blood. By using supervised learning techniques, the system endeavors to estimate the probability...

For instance, tilting the hand forward moves the car forward, tilting backward initiates reverse motion, while tilting left or right steers the car in respective directions. This user-friendly, contactless interface improves the ease of control compared to traditional joystick or button based systems....

This research study aims to a precise identification of Alzheimer’s disease by the application of feature selection method and classification schema to XGBoost. Alzheimer’s disease is a neurological illness that is only as known as it is common, diagnosed often through a process of elimination. The Timely...

The technology of CPS allows researchers to unify predictive maintenance programs with learning algorithms within chemical plants. The research study examines platform integration as it develops operational effectiveness and reduction of manufacturing stoppages while enhancing safety standards. Real-time...

This project introduces an Automated Skin Lesion Classification System aimed at improving early melanoma detection through advanced machine learning techniques. The system utilizes custom CNN architecture for analyzing dermoscopic images, leveraging Python-based tools like Augmentor for data augmentation...

Sleep disorder is a common sleep disorder marked by recurrent disruptions in respiration during sleep. Prompt identification and surveillance of sleep disorder are essential for accurate diagnosis and intervention. We propose an innovative method for detecting sleep disorder utilizing Ultra-Wideband...

The development of wireless communication and radio frequency (RF) energy harvesting systems for small electronic devices is examined in this research. An amplifier, rectifier, and transmitting and receiving antennas can all help the proposed RF harvesting circuit generate up to 5V DC for low-energy...

ATM machines have become a standard method for financial transactions, but they have also become vulnerable to fraudulent activities. This study presents a method that utilizes a Convolutional Neural Network (CNN) algorithm to detect ATM hammer use as a preventive measure against robberies. A novel ATM...

This research proposal aims to develop Deep learning algorithms for an IoT-based system to analysed and detect illnesses in sugarcane leaves. Using various deep-learning approaches, the system will detect and classify diseases by collecting leaf images using IoT-enabled sensors. The expected benefits...

The most common cause of cancer in women is breast cancer. Early detection and detection is the most important and effective way to slow the spread of cancer. Currently, mammography is the imaging modality for early detection and detection of breast cancer. Classifying masses in mammography is still...

Mitral valve abnormalities accurate detection is vital for diagnosing cardiovascular diseases. Most of the existing models which includes ResNet and U-Net has shown the exemplary performance in image segmentation process. But still there is a huge requirement in obtaining high precision and recall needed...

In all aspects of our lives, IoT has paved way for smart appliances. Around 80% of the world is revolutionized by IoT technologies that make life easy. Considering the increased development of the marine activities globally, IoT is in demand to provide smart communication and navigation systems. Today...

This study presents a non-invasive system for monitoring glucose levels by detecting acetone gas in exhaled breath. By eliminating the need for traditional blood-based testing, this approach provides a more comfortable and accessible solution for diabetes management. The system incorporates highly sensitive...

Tuberculosis (TB) is still a worthy global health concern and more so in the low and middle-income countries. Till date, the early diagnosis of the disease still remains problematic due to the inadequacy of diagnostic technology that is accessible in today’s medical practice. One of the most utilised...

Glioma spatiotemporal geste can be simulated and read using excrescence growth models in specific cases. Since glioma cell infiltration is known to occur more briefly along white matter pathways, prolixity tensor imaging (DTI) and structural glamorous resonance imaging (MRI) can be used to improve the...

A compact and versatile coplanar waveguide (CPW)-fed antenna is presented for multiple wireless communication applications. The design features a 50-ohm microstrip line as the feed structure and a square radiating patch enhanced with uniquely designed meandering slots on both sides to achieve triple-band...

This project implements machine learning (ML) algorithms to detect and predict the type of diseases that occur, based on the continuous data collected from the various sensors, which helps in real-time health monitoring. The ML components are used to improve the system capabilities in the medical sector....

Worldwide, air pollution is a significant issue due to its detrimental effects on human health and the environment. Particulate matter (PM) is a major cause of air pollution, with exposure linked to respiratory and cardiovascular diseases. Current air quality monitoring systems primarily rely on manual...

The research facilitates the combination of neuromorphic computing with reinforcement learning (RL) for optimizing 5G network performance. By simulating neuron models using the Brian2 framework and employing a deep Q-network (DQN) for network optimization, we demonstrate improvements in energy efficiency,...

In many different applications, multiplication is probably the most common arithmetic operation, including multimedia processing. Many digital systems depend on multipliers, however, because of their resource, energy, and critical path latency requirements, multipliers also present difficulties. In digital...

The current technology for PMSM (Permanent Magnet Synchronous Motor) drive controllers in electric go-karts focuses on achieving high efficiency, precise torque control, and superior performance. Modern PMSM drive controllers utilize advanced FOC techniques to ensure smooth operation and optimal speed-torque...

Aquaculture, the cultivation of aquatic organisms, is the primary food source of the world. Maintaining optimal water quality and oxygen levels in aquaculture ponds is essential for fish health and productivity. Traditional aeration systems waste energy and fail to distribute oxygen effectively because...

This study explores the use of Machine Learning (ML) to enable real-time monitoring and operational improvements in coal handling conveyor belt systems. Efficient coal management is essential for minimizing environmental impact and ensuring operational continuity. By utilizing IoT sensors and ML models,...

Object detection is an important problem for autonomous vehicles, enabling safe navigation and decision making in complex environments. In this review, an overview of LiDAR and camera fusion techniques for detecting objects, exploiting the synergy between LiDAR’s geometric accuracy and cameras’ colour...

The proposed solution aims to create a novel robotic companion that is more suitable for old people by addressing a wide range of problems that elderly people face, this in turn combines real-time autonomous assistance with customized help. The main aim of the proposed model is to enhance the speech...

The theoretical and fundamental analysis of an advanced Orbital angular momentum (OAM) transmission system for next generation optical communication networks are represented. The proposed system implements artificial Intelligence algorithm which enhances efficiency and accuracy of OAM modulation channel...

To decorate street protection and prevent collisions amid increasing vehicular visitors, this proposed gadget introduces an advanced answer that leverages AI-pushed predictive analytics and V2X (carto-the-whole thing) communication to mitigate injuries resulting from human mistakes and confined visibility....

This is a critical ADAS component, enabling secure in addition to optimized routing by identifying road signs in real-time. This project focuses on developing a real-time traffic sign detection system using MATLAB, integrating image processing and deep learning methods. The system captures live video...

Underwater Sensor Networks (USNs) are increasingly vulnerable to malicious node attacks, compromising data integrity and network performance. Inspired by the remarkable camouflage capabilities of stonefish, we propose a novel malicious node detection and data aggregation scheme for USNs, leveraging the...

The field of handwritten character recognition has seen remarkable strides with the advent of deep learning techniques. Whereas Convolutional Neural Networks (CNNs) have proven to be extremely effective in handwritten text recognition for most languages, newer breakthroughs in Vision Transformers (ViT)...

The growing demand for food worldwide challenges the modern agriculture sector to meet the increased global food demands while being sustainable toward protecting the environment. The study thus aims at presenting a novel system of real-time soil monitoring based on Internet of Things technologies, Arduino,...

Voltage-Controlled Oscillators (VCOs) are what the Phase Locked Loop (PLL)-based hardware looks at. The study mostly checks how well they work with rates and how much power they use. A simple Ring VCO, a Current Starved Ring VCO (CSRVCO), a 5-stage CSRVCO, and a 5-stage CSRVCO with transistors serving...

The early diagnosis and healthcare monitoring, is one of the major health concerns in worldwide. In order to develop precise model that classify the diabetes machine learning offers numerous algorithms. The machine learning techniques promised for detection of diabetes as fast as and also its cost effective...

Voltage fluctuations, sag, and swell caused by overload situations in transmission lines are significant obstacles impacting grid reliability, power quality, and equipment performance in modern power systems. This methodology seeks to solve these issues by integrating a Static Synchronous Series Compensator...

Automatic wheelchairs are crafted to greatly improve the quality of life for individuals with disabilities. These sophisticated devices utilize cutting-edge hand gesture control technology, enabling users to makeover the wheelchair using simple and natural movements. This hands-free system simplifies...

The paper presents the cyber physical system prototype to demonstrate the application of IoT technology towards the water management system in the urban scenario. The project involves development of a physical prototype which includes a water reservoir and four outlet taps which act as user nodes. The...

Microstrip patch antennas are well-known for their lightweight, compact, and cost-efficient design, making them perfect for transmitting and receiving electromagnetic signals. They are simple to manufacture, extremely versatile, and can be effortlessly incorporated into a wide range of systems. This...

The design presents a revolutionary approach to effective antenna solutions in 5G devices, including a ground-breaking decoupling method for a dual-band, tightly organized MIMO antenna pair. By integrating a bent loop and Circle Shape dual-band architecture, it addresses the issues of compactness, bandwidth,...

The rapid development of wireless detection of objects and person who behind walls has significant complications in safety, security and smart technology applications. In emergency scenarios like search and rescue operations where quickly identifying individuals behind the rubble or barriers which can...

Convolutional Neural Network (CNN) deep learning model was designed and tailored to the specific cancer detection task, and the architecture is framed to accommodate the input data and the complexities of medical images. The integration of deep learning with embedded systems for healthcare applications...

Now a days, most of the industries especially in aerospace sector, non-conventional machining processes plays a vital role. In these industries output should be zero defect and with minimum accuracy tolerance. This can be easily achieved in non-conventional machining manufacturing process. Electrical...

The distribution of maximum available power depends heavily on the quality and dependability of electronic high-powerconverters. Multilevel Inverters (MLIs) convert a fixed DC input into an AC output with a stepped waveform. However, commercial and utility applications’ power system harmonics can cause...

Spinal stenosis is a constant condition that limits the spinal canal, compressing nerves and causing neurological side effects. A convenient and exact conclusion is basic for the result of treatment and care. This study analyzes the advancement of an computerized framework that employments progressed...

Deep learning is used by the AI-enabled ECG (AI ECG) program to extract meaningful patterns from complicated ECG data. In patients with heart failure, left ventricular hypertrophies, paroxysmal atrial fibrillation, and other cardiovascular conditions, it has been shown to be beneficial. The difficulties...

A new Metamaterial Absorber (MMA) for terahertz (THz) applications is proposed and thoroughly evaluated in this work. The designed structure comprises three layers: a modified octagon-shaped resonator serving as a unit cell on the top metallic patch, a copper ground plane, and a 0.125mm thick polyimide...

Large public places such as classrooms, libraries, and auditoriums consume a significant amount of energy due to the manual turning on/off of electrical appliances that normally include fans and lights. This paper provides an automation approach for the problem mentioned above by using live CCTV footage...

Various related trends seem to affect how citizens and goods are becoming mobile. Among these trends are political, economic, social, and technological factors. For example, growth in population numbers which is known as urbanization within different countries; automation that reduces human effort in...

Presently, the design of power efficient memory elements like latches and flipflops for low power VLSI Systems are very challenging task. Transitionally the memory elements are designed by MOSFETs using NMOS and CMOS technologies under micrometer process. Even though the MOSFET based design results desired...

Object detection and prevention control are critical components in the design and operation of autonomous cars. These systems enable self-driving vehicles to identify, classify, and respond to objects in their environment, ensuring safe navigation and collision avoidance. This research focuses on integrating...

Accurate road mark In intelligent transportation systems, traffic monitoring, and autonomous driving, detection is essential. The application of YOLOv8 (You Only Look Once, Version 8), a cutting-edge object detection model, for the accurate recognition and categorization of road markings is the main...

Emerging development of networking technology ensured fats and flexible communication. Wireless sensor network is applied in almost everywhere for efficient usage of network and data transfer. On the other side of the network, the flexibility leads to the hacking mechanism and unauthorized accessibility....

A machine learning-based predictive model was developed to deliver personalized career recommendations based on student data, including academic performance and personal attributes. The dataset includes information such as gender, absenteeism, extracurricular activities, part-time work status, study...

Cloud services are gaining popularity and the demand for cloud space is increasing Lot of research is happening in the field of cloud management and marketing. Effective handling of Cloud service is an important component of cloud architecture and can even be used to act as an intermediate layer between...

The proliferation of Internet of Things (IoT) devices has led to increased energy consumption in network infrastructures, necessitating the development of energy-efficient routing strategies. This paper proposes a novel route scheduling algorithm to minimize energy consumption while maintaining Quality...

This study examines the utilization of visual analytics with Tableau to enhance healthcare resource allocation in India. We used Bayesian inference, linear programming, and the Susceptible-InfectedRecovered (SIR) model, along with other predictive analytics techniques, to help hospital management make...

The potential for improving healthcare applications has been demonstrated by the combination of deep learning with Field-Programmable Gate Array (FPGA) technology. This work presents an extensive analysis of FPGA-based deep learning accelerators, focusing on their implementation using Intel Arria 10...

The categorization of retinal diseases utilizing Optical Coherence Tomography (OCT) images has garnered considerable interest in the domain of computational medical imaging. This research paper introduces a deep learning methodology for the automated classification of OCT images via a custom Convolution...

This project focuses on improving safety on hill bend roads, using an advanced safety system. The system uses an ESP32-CAM module with an integrated GPS to monitor both sides of the bend and detect approaching vehicles. The camera captures images and divides the view into two sections-one for each side...

Automated medical dispensers have revolutionized the medication management sector in recent years. These devices are designed to manage medical prescriptions and ensure that patients receive the correct dosage at the scheduled times. Particularly beneficial for the elderly, who often rely heavily on...

In this work, TCAD simulations are used to investigate the effects of heavy ion radiation on Double Gate Junctionless Tunnel Field Effect Transistors (DGJL-TFET). Narrow and broad bandgap materials, such as silicon, silicon germanium, and gallium arsenide, are used to examine performance differences...

Blood vessels and the optic disc serve as critical reference points in fundus images, playing an essential role in identifying and diagnosing retinal abnormalities. Since these structures may resemble bright or dark lesions, failing to isolate them beforehand can lead to false positives in automated...

The design and implementation of a Direct Memory Access (DMA) controller for Internet of Things (IoT) applications are examined in this study. Effective data transfers between I/O and memory are made possible by the DMA controller, which lowers CPU load and improves system performance. Making a Register...

System-on-Chip (SoC) devices integrate various sub-circuits utilizing both parallel and serial communication protocols. Among these, the Inter-Integrated Circuit (I2C) protocol stands out as an 8-bit serial communication bus that facilitates direct communication between integrated circuits (ICs). In...

QVault offers a creative approach to protection in data exchange leveraged through QR codes with obscured information hidden with pseudo-visual QR code wrappers. In contrast with open QR codes, which can be intercepted and modified, QVault uses AES algorithm along with multi-party authentication. Frequently,...

In the scientific and engineering domain of nanotechnology, the goal is to make highly efficient devices smaller. Quantum-dot Cellular Automata (QCA) are a new technology that may be used at high speeds with minimal power consumption and a straightforward design. We design a novel 4-bit memory unit in...

Adaptive intrusion detection plays a critical role in the changing cybersecurity landscape to neutralize advanced network threats. The current research suggests an innovative solution by incorporating an enhanced Long Short-Term Memory (LSTM) network with Levy Flightoptimized Grey Wolf Optimization (GWO)...

Skin cancer is the most common type of cancer worldwide, and early detection is critical to enhancing the success of treatments. The conventional methods of detection, although efficient, tend to be invasive and can be painful. The focus of this paper is to describe the development of a photonic crystal...

Time sensing is vital for the effective operation of cognitive radio systems. This paper presents a method for predicting primary user spectrum patterns to minimize battery consumption for cognitive users by reducing the need for continuous spectrum sensing. We have developed a CNN-LSTM-based model to...

Alzheimer’s disease (AD) is a neuro-degenerative disorder categorized by the progressive decline in cognitive function. Prompt and accurate detection is essential for both intervention and management of the disease. We present a Hybrid CNN-BiLSTM Framework with Adaptive Learning for early detection of...

With the ability to feed billions of people worldwide, rice is one of the most significant staple crops. However, a number of illnesses regularly threaten its production, resulting in large yield losses. Effective management and mitigation methods for many diseases depend on early detection and diagnosis....

MIMO technology is widely recognized for its ability to boost data rates and system performance. Although MIMO systems leverage multiple antennas for spatial diversity, their effectiveness is impacted by antenna spacing, coupling, and interference. The envelope correlation coefficient (ECC) is employed...

Dielectric ceramic materials are extensively utilized in microwave applications, such as satellite communication, due to their high dielectric constants and quality factors. Calculating the quality factor has become increasingly essential due to the various combinations of mixtures used. In this study,...

Environmental sustainability and resource optimization depend on efficient waste management. This article offers a smart system that promotes a circular economy, enhances recycling efficiency, and automates waste categorization. The system uses an automated gripper arm, computer vision-based object detection,...

This study introduces an innovative approach to address the urgent need for sustainable energy storage by maximizing solar energy utilization and ensuring efficient distribution and storage through integrated solar panels and a dual-battery system. Key components such as rechargeable batteries and charge...

This study presents the design and simulation of a microstrip patch antenna using polyimide as a flexible substrate, making it wellsuited for wearable medical applications. The antenna operates at a resonant frequency of 4.143 GHz, achieving a return loss (S11) of -37.17 dB and a VSWR of 1.028, indicating...

With the technological advancement in image processing like color photography, matching and inspection and survey of the images, large scale issues on counterfeit currencies have been occurring. This work focuses on automatic paper currency recognition especially in banking systems, foreign exchange...

The growing sophistication of jamming tactics poses considerable difficulties to radar system performance, endangering national security by reducing detection and response to possible attacks. This study looks into the critical issue of maintaining radar detection efficiency in the presence of advanced...