All of the articles in this proceedings volume have been presented at the ICCIET-2K24 during [04th & 5th April 2024] in [Bonam Venkata Chalamayya Engineering College Autonomous Odalarevu] in hybrid mode. These articles have been peer reviewed by the members of the [Scientific Committee] and approved...

Knee osteoarthritis (KOA) is a common long-lasting ailment characterized by joint degradation, impacting millions worldwide and posing significant challenges in early detection and management. Radiographic assessment, particularly through the Kellgren-Lawrence (KL) grading scheme, serves as a cornerstone...

Wheat stands as a crucial staple crop for a substantial portion of the global population, contributing significantly to food security. However, the productivity and expansion of wheat cultivation face substantial challenges due to the prevalence of diseases, resulting in considerable annual crop losses....

The growth of smart e-health monitoring systems is driven by the rise of the Internet of Things (IoT), transforming healthcare. This evolution relies on real-time updates for patients and stakeholders, as IoT devices generate substantial data. This technology plays a crucial role in modern healthcare...

The voltage quality of a renewable energy system may be undermined by variable power demand and erratic energy source outputs. The suggested approach entails the use of both a Model Predictive Based Voltage and Power control (MPVP) method and a Model Predictive Based Current and Power (MPCP) control...

- The deployment of solar photovoltaic (PV) electricity along with associated technologies to promote sustainable growth in society is growing in popularity. Several concerns must be considered when PV systems are linked to the grid. One problem with power quality in PV systems, particularly when these...

In the present era, electronic communication plays an essential role in our daily lives. However, this convenience is accompanied by the persistent challenge of email spam, which inundates inboxes and poses a serious cybersecurity threat. Email spam remains a pervasive issue, with conventional spam filters...

Plant leaf disease detection has become increasingly important in ensuring sustainable agriculture and maintaining crop health. Since plant illnesses are quite widespread, finding infections in plants is an important job in the agricultural industry. Manual inspection, which is labour-intensive and subjective,...

Image dehazing is a complex challenge within the field of computer vision, particularly when dealing with hazy or foggy scenes. Photographs captured in unfavourable weather conditions (such as haze, fog, smog, and mist) often suffer from significant degradation. These deteriorated images pose difficulties...

Skin is the largest organ of the body. It frequently deals with a variety of problems indicating internal as well as external factors. Skin issues can be caused by pollutants in the environment, UV radiation, and poor skincare habits. There are many issues related to the skin like acne, sunburn, rosacea,...

This paper amalgamates air quality prediction, purifier recommendation, and e-commerce into a streamlined platform. Leveraging Streamlit and React, it offers real-time Air Quality Index (AQI) detection based on location, aiding users in assessing breathing suitability. By employing Random Forest Regression,...

There are numerous good effects of technology on our social lives. Creating an architecture that is globally connected around-the-clock makes it simple to access a wide range of resources and services. In addition, technology, such as the Internet, has fostered creativity and invention. Blockchain, the...

Early identification of ischemic stroke leads to a speedy recovery from severe repercussions and irreversible brain damage. Stroke affects people differently, with varying experiences during the event and variable paths to recovery afterward. Radiologists utilize CT (Computed Tomography) scans to diagnose...

Currently, one of the most difficult issues facing the government is resolving illicit activity and fraudulent land registrations. The old and traditional methods of land registrations are the main reason for the arise of these illegal and fraudulent activities. The proposed system aims to harness the...

Maize plant diseases can have a severe impact on agricultural productivity, making detection and control challenging for farmers. Early identification of diseases is crucial for minimizing losses. This study proposes a new approach that integrates machine learning (ML) and deep learning (DL) algorithms...

In recent times, generating understandable prompts for AI has been a significant problem, which in turn leads to inaccurate results. In essence, the problem is about finding ways to make AI understand and respond accurately to the prompts given to it, which is crucial for improving its overall performance...

The field of drug discovery and development has witnessed a transformative change during the previous few years with application in artificial intelligence and ML techniques. Among these, Variational Autoencoders (VAEs) have emerged promising instrument for the generative designing of drug molecules....

In the dynamic landscape of modern business, efficiently delivering data across diverse regions with varying demands presents a formidable chal-lenge. Current methodologies, leveraging APIs and machine learning algorithms for real-time user country identification, struggle to adequately optimize resource...

The purpose of this research project is to evaluate the strength and durability of concrete that has been prepared using groundwater and treated water. Concrete's strength is evaluated using a variety of strength metrics, including split tensile strength, bond strength, and compression test results....

The use of piezoelectric lead Zirconate Titanate (PZT) transducers is growing in the monitoring of large-scale engineering structures, such skyscrapers and bridges. PZT transducers are implanted in the surface to monitor structures using electro-mechanical impedance or electro-mechanical admittance with...

Structural Health Monitoring (SHM) is a rapidly expanding discipline that offers a platform for continuous evaluation of civil engineering structures to assure their safety and serviceability. Based on the information collected from SHM, the structure's service life can be extended by doing the...

The utilization of blockchain technology in supply chain management has gained significant attention in recent years due to its potential to address key challenges such as transparency, accountability, and efficiency. This study explores the impact of integrating blockchain into the supply chain to enhance...

Parkinson's disease is a disorder of the nervous system that causes impairment and changes in cognitive behavior. Voice analysis has become a crucial tool for diagnosing neurological conditions like PD, with symptoms typically appearing in people aged 50 or older. This research suggests new methods...

Disease prediction based on medical images is a crucial area of research in healthcare. This study compared two Deep Learning methodologies through a comparative analysis: Convolutional Neural Networks (CNN) and Xception for disease prediction using a dataset of Medical Images. The dataset consists of...

Big data has not only exacerbated but in some cases created unimaginable challenges for enterprises in terms of getting a grip of the tidal wave of data sources that are monstrously big. The main aim of this research is to design and implement a technology that exploits modern advanced data analysis...

This aims at predicting emotions from images and videos based on the colors using machine learning. The primary objective of this study is to develop an effective algorithm that, upon receiving image or video input, accurately predicts the underlying emotions present in the visual content. The methodology...

Automating the grading process for question-answer sheets represents a significant challenge, particularly when dealing with traditional hard copy papers. This initiative aims to reduce the time and expenses associated with manual grading, a task that typically consumes 2–3 days for teachers to complete....

Mobile devices have become integral to our lives. Among operating systems, Android holds the largest market share, making it a prime target for attackers. While various solutions exist for Android malware detection, there remains a need for effective attribute selection methods. In this work, we introduce...

The banking sectors are facing several challenges in detecting and preventing different types of cyber attacks. The main challenge is to find the suspicious activities in money transactions. The majority of Financial institutions are commercial banks suffers lot due to these cyber attacks. The time critical...

Both candidates and recruiters now face difficulties and uncertainty due to the growing volume and complexity of information in resumes. As they may showcase their abilities and qualities to prospective companies, resumes are vital for recruiters and students seeking employment prospects. Numerous professions...

Matching is crucial for data deduplication, but it's challenging due to inconsistent and incomplete data. Intelligent NLP algorithms are needed for unstructured data, and large datasets require strong technology. Machine learning approaches, sophisticated algorithms, and predictive analytics are...

Precise estimation of domestic electricity usage is essential for sustainable energy management, enabling effective energy allocation, and advancing the development of intelligent networks. To anticipate home electric power consumption from time series data, this research investigates usage of advanced...

YOLOv8, a cutting-edge object recognition technique, is used in this study to show a new way to find esophageal cancer early. By using medical pictures and deep learning methods, our model is very good at finding cancerous areas in the stomach. The suggested method shows a possible breakthrough in accurate...

Rainfall distribution serves a variety of purposes in meteorology, hydrology, and environmental science, flood forecasting, agriculture, meteorological analysis, and more around. The gathered dataset is collected from meteorological observations which helps to depict the patterns of rainfall for the...

The existence of plant diseases is a matter of considerable health apprehension for all forms of life. Timely identification of diseases enables farmers to promptly implement the required remedies, thereby enhancing agricultural productivity. Machine learning stands at the forefront of modern technology,...

Smart Farming Analytics (SFA) has emerged as a key tool in modern agriculture, transforming traditional farming practices by integrating advanced technologies. This research focuses on improving the accuracy and reliability of land suitability predictions in the field of intelligent agriculture. The...

In this study, an intelligent system specifically tailored for the meticulous task of identifying and categorizing chromosomes in the context of karyotyping, a critical process in genetics and medical diagnosis. To achieve, this project leveraged the capabilities of the YOLO (You Only Look Once) object...

Diseases of eye have the potential to cause blindness in the sufferers. There have been many kinds of diseases those exist in the eyes of human like Myopia, Diabetic Retinopathy, Hypermetropia and so on.Fundus images help doctor to see the amount of eye infected due to diabetes and indicate the suitable...

This comprehensive study delves into the dynamic landscape of deep learning applications, focusing on the burgeoning realm of deep fakes. Deep learning has seamlessly integrated into fields like natural language processing, machine learning, and computer vision, giving rise to innovative applications....

Lately, technology has demonstrated its existence in every aspect of life, and inventive gadgets are helping people in every field. In particular, artificial intelligence has taken the lead and outperformed the other trades. This paper introduces a cost-effective and technologically advanced assistive...

Diabetic Retinopathy is a state that causes vision impairment in diabetics. Usually, it is brought on by elevated blood sugar, which damages in the eyes and might cause blindness. Blindness may result from a delayed diagnosis. The chance of permanent loss of vision can be considerably reduced aside receiving...

As the number of internet connected devices has surpassed tens of billions, the era of the “Internet-of-Things” (IoT) is here. These days, a vast array of products seamlessly integrate the internet, from small devices like smartwatches to more intricate systems like smart grids, smart transit networks,...

People hurt themselves by poisoning or hurting themselves in ways that cause injuries or death, even if they don't mean to. This is called self-harm. Self-harm not only hurts the people who do it, but it also hurts the income of the whole country. Self-harm is becoming more common, and studies have...

The increasing of fraudulent activities including wearing helmets and masks in the ATM premises. This System is designed to enhance security and efficiency in automated teller machine operations. This project focuses on real-time surveillance, wearing masks, helmets, anomaly detection, multiple face...

Understanding emotions is critical to many fields, including psychology, medicine, and human-computer interaction. The study uses datasets from RAVDESS, SAVEE, CREMA, and TESS which cover a wide spectrum of emotions, including neutral, surprise, happiness, sadness, disgust, anger, and fear to thoroughly...

Worldwide, traffic accidents result in fatalities, injuries, and financial losses. Accurate models for predicting accident severity are essential for transportation systems. This study focuses on constructing injury severity classification models using key variables and various machine learning techniques....

As the smartphone market has expanded enormously, particularly in the Android environment, the necessity for robust anti-malware security has become increasingly apparent. By harnessing the power of machine learning and large datasets, this model demonstrates exceptional capabilities in identifying subtle...

A novel strategy for combatting ransomware has emerged, aiming to circumvent the limitations of traditional antivirus software which ransomware often evades. Ransomware, by encrypting files and restricting user access to systems and data, poses a significant threat. The proposed solution involves a ransomware...

Natural Language Processing (NLP) is a rapidly advancing field of artificial intelligence that acts as a bridge between human language and machines. Its uses vary from language translation and sentiment analysis to virtual assistants, impacting a wide range of industries. Language detection is a crucial...

Task scheduling in cloud computing environments is crucial for optimizing resource allocation and enhancing system efficiency. In this paper, we present a systematic analysis environment for evaluating various task scheduling algorithms. We focus on three prominent algorithms: Ant Colony Optimization...

Cloud Computing provides towering benefits like huge scalability, low cost, accessible promptly still simultaneously it recommends distinct risks, burdens and vulnerabilities also [1]. Even though different cloud structure and services are emerging with vast expansion, some specific concerns stopped...

Introducing the concept of leveraging blockchain technology for advanced con-sent management systems, this work underscores the critical need for safeguarding user data in today’s digital landscape. By exploring the decentralized and immutable nature of blockchain, the abstract posits it as a robust...

In today’s financial landscape, accurate stock price forecasting is crucial for informed decisions. This solution leverages machine learning and data science advancements to offer a comprehensive platform for interactive analysis and custom model training. With a user-friendly Streamlit interface, users...

One of the most recent technologies is blockchain. It is used in many industries, including healthcare, finance, supply chain management, etc. A distributed technology called blockchain makes data or information available to all network nodes. It serves as an electronic database and stores information...

The intensifying cost of healthcare needs tools for up-to-date insurance ranges. Machine Learning approaches for predicting individual healthcare insurance costs are analyzed with the help of patient records, and a personalized cost estimation model empowers individuals, particularly in rural areas,...

In this research endeavor, machine learning algorithms—specifically Linear Regression, Random Forest Regressor, and Gradient Boosting Regressor—are harnessed to anticipate the future trajectory of the Indian Gross Domestic Product. Employing an extensive dataset that incorporates historical GDP, per...

The agricultural sector is undergoing a revolutionary upheaval with the advent of the Internet of Things (IoT), which presents new opportunities to enhance efficiency, sustainability, and productivity. Information and communication technology is enabling smart farming, which is revolutionizing conventional...

This study suggests a unique hybrid feature extraction technique that expands the possibilities of Manual signature authentication systems. This method efficiently finds important characteristics in signature photos by combining Convolutional Neural Network (CNN) and Histogram of Oriented Gradients (HOG)...

Logo Detection plays a vital role in different applications such as brand checking, copyright assurance, and visual look. In this paper, we explore the viability of convolutional Neural Networks (CNNs) and combination procedures for Logo Detection. We used three pre-trained CNN models VGG-16, DenseNet-201,...

— To maintain future supplies of clean drinking water, it is necessary to assess the state and degree of contamination in current groundwater. Predicting water quality properly is critical for reducing pollution and improving water management. This research offers a deep learning (DL)-based algorithm...

The current study is one such initiative to analyze the effect of heat curing in geopolymer concrete made of Ground Granulated Blast Furnace Slag (GGBS) as base material. With higher sodium hydroxide concentrations (14M and 16M) and different alkaline activator ratios (1, 1.5, 2, and 2.5), the GGBS-based...

A Hybrid Fiber-Reinforced Self-Compacting Concrete (HFRSCC) is a new type of building material that combines the benefits of SCC with the additional benefit of fibres. The brittle SCC was transformed into a ductile material with the ideal amount of fibres; as a result, it flows into the formwork’s interior...

In the modern world, chemical or mineral admixtures have been used in place of cement as well as an additional binding ingredient in a number of research initiatives. The newest development in concrete technology involves adjusting many factors in both fresh and hardened concrete. Fresh concrete has...

The research effort focuses on replacing and adding inexpensive materials to both pervious and conventional rigid concrete pavement. The operative use of unwanted and recycled materials in different proportions—such as rubber chips, steel slag, fly ash, and silica fume—in rigid concrete pavements is...

Studies on Natural Rubber Latex Modified Fiber Reinforced High Performance Concrete (NRLM-FR-HPC) represent a significant area of research aimed at enhancing the properties and performance of concrete materials. This research focuses on incorporating natural rubber latex (NRL) and fibers into high-performance...

Oral cancer is deadly cancer which is majorly spread in less and middle-income countries. The early diagnosis of oral cancer may attained through automatic detection of cancerous and malignant mouth lesions. Various researches developed a Machine Learning (ML) method which detects oral cancer from images....

Recent years have seen major developments in satellite communications, with the goal of increasing overall performance, decreasing latency, and increasing data transfer efficiency. extended-range (LoRa) technology, which is well-known for its low power consumption, extended range, and applicability to...

In the evolving cybersecurity landscape, security breaches have become a significant concern, leading to unauthorized disclosure of personal information. Hackers engage in illicit activities, fostering the trade of sensitive data on darkweb platforms like AlphaBay Market, Hansa, and Dream Market. To...

An important source of experience-related data for comprehending novelty seeking (NS), a natural personality feature that affects travel motivation and location selection, is online travel reviews. Due to the large number and disorganization of reviews, manually categorizing them is difficult. Therefore,...

This work introduces a new approach to real-time object recognition using YOLO Version 7, an advanced system capable of real-time object detection in images, videos, as well as live webcam feeds. Unlike traditional methods, this system verbally discusses everything it finds, including the object’s name...

A major global health concern is knee osteoarthritis, which is frequently identified by conventional radiographic grading schemes like the Kellgren-Lawrence scale. Reliance on X-ray pictures, however, may cause a delayed diagnosis. Convolutional neural networks (CNNs), in particular, are deep learning...

This paper proposes the development of a voice assistant integrated into an augmented reality (AI) environment. Voice assistants have become increasingly popular in recent years, with the widespread adoption of smart speakers and mobile devices. Meanwhile, AI technology has also advanced rapidly, offering...

This paper introduces a sophisticated animal deterrence system, employing the YOLOv8 model and the Ultralytics framework. The system, designed to thwart unauthorized animal invasions in restricted areas, integrates cutting-edge computer vision algorithms with the computational capabilities of Raspberry...

This research paper introduces a transformative approach to diagnosing pneumonia through an Adaptive Neuro-Fuzzy Inference System (ANFIS) tailored for high-dimensional clinical data. The ANFIS model fuses the interpretive strengths of fuzzy logic with the adaptive properties of neural networks to process...

A low level of haemoglobin in the blood is known as anemia, and it can seriously harm important organs like the kidneys and heart. Conventional diagnostic techniques frequently require intrusive procedures, which causes anxiety in the patient and postpones care. This work uses images of the palpebral...

Web data mining is essential for identifying the online propagation of terrorism. Terrorist groups are using phishing websites more frequently to spread their beliefs, find new members, and plan events. We can evaluate web data to differentiate between websites linked to terrorist activity and those...

In order to accurately portray a person's talents, skill verification is a crucial element of transparent future societies. Blockchain technology makes it possible for skill verification to be secure and decentralized, promoting confidence and doing away with the need for middlemen. In this paradigm,...

In this paper, we proposed a system which integrates advanced computer vision techniques for enhanced driver safety by emotion recognition and drowsiness recognition. The Global status report on road safety 2023 shows that the number of annual road traffic deaths has fallen slightly to 1.19 million globally....

Optimizing crop and fertilizer recommendations is paramount for productivity and sustainability in agriculture sector. Traditionally reliant on labor-intensive expert knowledge, this process now shifts towards automation with machine learning techniques. Our study on the existing system includes Random...

This research project explores building a speech emotion recognition system using Convolutional Neural Networks (CNNs). We leverage multiple datasets like RAVDEESS, Crema-D, TESS, and SAVEE, which contain audio recordings labeled with emotions (happy, sad, angry, etc.). After meticulously converting...

In this rapid technology of remote and online learning, the ability to monitor and assess students’ engagement and productivity has become increasingly vital. This paper presents a pioneering approach to addressing this challenge by combining privacy-preserving on-screen activity tracking with federated...

In recent years, image dehazing and image segmentation have emerged as vital tasks in computer vision, with numerous applications in various fields. This paper presents a cutting-edge framework that combines advanced deep-learning techniques to address the challenges associated with efficient image dehazing...

Epileptic seizures, the Manifestation of abnormal electrical activity in the brain, represents a significant challenge in neurological health. Epileptic Seizures is unpredictable nature of when they occur, leading to potential injury or danger during this episode and can disrupt daily activities. Available...

Every year, respiratory disorders affect millions of people worldwide and pose a serious threat to public health. For treatment and therapy to be effec- tive, a timely and accurate diagnosis is essential. In this work, we present a unique method that uses examination of lung sounds to improve the classifica-...

Compared to time-domain photoacoustic imaging, frequency-domain photoacoustic (FDPA) imaging has much more potential in a clinical setting because of its smaller size and lower cost. Elements. However, because of its poorer signal-to-noise ratio, the FDPA system requires sophisticated image reconstruction...

Although content creation has grown more accessible and diversified in the digital era, the process frequently involves navigating many tools and platforms. Addressing this issue, Genius emerges as an all-in-one platform that democratizes content creation by seamlessly merging advanced AI capabilities...

Artificial intelligence (AI) in computer science is a branch that focuses on creating intelligent systems or robots capable of imitating human behavior and reactions. Artificial intelligence is a branch of computer science. The impressive ability of individuals to easily identify and differentiate items...

In times of natural or man-made disasters, effective coordination among rescue agencies is paramount to minimize casualties and alleviate suffering. To address this critical need, we introduce RESQNET, an innovative application designed to centralize information and facilitate communication among rescue...

This study explores the integration of the YOLOv5 algorithm in scene perception and object tracking within computer vision. Our primary objective is to enhance recognition effectiveness and precision by customizing and implementing YOLOv5 to handle dynamic settings and diverse objects. The methodology...

In present days, many industries are incorporating text classification in their ordinary tasks for consistency, scalability, and timeliness it brings in. However, while working with real data there are several obstacles to overcome during conducting the classification modeling. Natural Language Processing...

Emotion plays a very crucial role for understanding what a person feels, As we enter into a digital era where people start to interact, learn and do various tasks by connecting through online mediums there is no physical interaction which helps us to understand the customer satisfaction. But when we...

The reliance of the iris recognition system on high-quality iris segmentation creates a strong foundation for future iris recognition research and greatly improves the efficiency of iris identification. By using the same datasets for training and testing, we were able to obtain the top network model,...

Strong detection and categorization frameworks are required since the threat on internet worms is still a top issue in the field of cyber security. In this comparative study, we compare and contrast the Deep Learning CNN Framework & the Joint Detection and Classification of Signature and NetFlow...

Marketing is an expensive activity in the realm of product sales. In today's world, most businesses have a lot of digital data that involves consumer transaction records. Segmenting clients into various prominent groupings and designing personalized activities for each cluster is a critical technique...

The fast detection and sorting of plant diseases are really important to make sure we have enough food and keep farming productive. In this study, we're using the latest technology called Convolutional Neural Networks (CNNs) to figure out what's wrong with maize leaves. We're using five...

The technology of identifying movements in real-time video is called “motion recognition”. These actions are classified according to the properties they represent. Creating awareness of movements is a difficult task because it overcomes two major challenges. The first challenge was to enable control...

In the realm of student information systems, educational institutions grapple with the complexities posed by an ever-expanding repository of academic data, encompassing diverse files, records, and multimedia. Traditional statistical methods and database systems often fall short in managing the sheer...

The Urban areas face escalating traffic congestion due to a yearly 35% raise in the no.of vehicles on the roads. Traditional traffic controlling systems, following constant cycles, cannot adapt to changing conditions as human officers can. To address this issue, we propose implementing an Intelligent...

The integration of Artificial Intelligence (AI) has revolutionized attendance management systems, automating processes for efficiency. However, existing face recognition attendance systems are limited to determining presence or absence, leaving a research gap in providing real-time absence notifications...

To fully grasp complex concepts like the heart, the digestive system, and other challenging systems, it is essential for medical students to rely on visual representations alongside written materials. Currently, students who wish to study the anatomy of different organs must rely on visual representations...