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Proceedings Article

IOT-Enabled Water Control System: Integrated Level Monitoring and Quality Assessment

P. Ramathulasi, B. Rafiya Sulthanasha, E. Dharani, D. Dillshad, G. Prathyusha, K. Srivani
Human carelessness frequently affects traditional water management systems, leading to waste and runoff. To address this issue, we have created Internet of Things solutions. Plans presented by Rankin: An immediate solution for water monitoring and management in a variety of applications, including water...
Proceedings Article

IOT Based Automatic Ploughing, Seeding And Watering Robot

T. Santhi Vandana, K. Srinivasa Reddy, S. Nagireddy, Pydimarri Padmaja, P. Rashmitha, S. Vasishta, S. Abhinay Reddy, S. Anand Reddy
Agriculture is one of the long-established occupations across the globe. More than half of the population predominantly rely on agriculture as the primary occupation for their livelihood. Despite the advancement of technology farmers still follow traditional methods to carry out the tasks. The development...
Proceedings Article

A Smart IoT Enabled System for Leaf Disease Detection with Severity and Pesticide Recommendation

D. Aswani, K. Ram Kumar, Y. T. R. Shinee, K. Lalith Akash, A. Balu Karthik
Monitoring the health of plants and diagnosing diseases at early stages is an important step to boost agricultural productivity. This project proposes an IoT plant monitoring system that collects images of plants, taking into consideration secondary environmental factors such as soil moisture, temperature,...

Simplification of Water Quality Classification in Beijing, Tianjin and Hebei Based on K-nearest Neighbor Algorithm

ZIYI ZHU
This paper repeated experiments for many times, and simplified the original five water quality categories into two categories, based on the samples of water quality monitoring in Beijing Tianjin Hebei Haihe River Basin. Based on water quality classification, the three most obvious variables of stratification:...
Proceedings Article

Edusphere: Enhancing academic efficiency of students and educators through app-based solution

Vaibhav Saha, Sushrut Wagh, Rushil Zalke, Vaibhav Zambre, Hiral Modi
In today’s ever-changing educational environment, students and teachers face many challenges related to effective communication, attendance management, and resource accessibility. Traditional solutions address these needs alone, often resulting in ineffectiveness and timelessness. This study presents...
Proceedings Article

A Real-Time Driver Drowsiness Detection and VehicleControl System With GPS

N. Chaitanya Kumar, P. Monika Anjani Swetha, M. Venu Madhav, P. Divyanjali, K. Babji, Mahabub Fayaz Shariff
Driver fatigue-induced road accidents are one of the primary threats to traffic safety, and this has driven the need for real-time detection systems. A driver drowsiness detection system based on deep learning, machine learning, and computer vision is proposed in this study for improving road safety....

Export Dynamics in South Sulawesi: A Comparative Examination of the 2018–2023 Period

Agung Setia Permana
Based on the export base on the theory, the economic growth of a region depends on its export activities. South Sulawesi Province as an example of experienced a decline in exports during the January-December 2017 period, but exports rebounded in 2018 and 2019. This upward trend continued even during...
Proceedings Article

Secure E-Voting System With Biometric Authentication

K. Pushpavalli, D. Sathis Pandy, S. Tharun, K. Sundaramoorthy
Secure web-based voting systems improve the accessibility of elections, especially for NRIs and the disabled, through internet-enabled device-based voting from anywhere. Incorporating OTP authentication, facial recognition, and surveillance via cameras enhances security and authenticity of voters. An...

Corporate Investments: Essence and Effectiveness of Capital Use

A Brodunov, O Ivanova, K Bunevich, E Gavrilova, O Nazarenko
This paper considers the essence and specific features of corporate financial investment. It describes the pros and cons of financial investment. Insight is provided into the peculiarities of such investment, its drawbacks, and how it specifically works. Financial investment means deferring a fix amount...

Public Services in Accounting Research: A Systematic Literature Review

Runy Rusdyantinah Indrawaty, A. Hamid Habbe, Aini Indrijawati
This study uses the method of a systematic review of the literature with the PRISMA approach to identify the literature to be reviewed. The aims of this study are to examine the development of public service in accounting research and to identify the research focuses and topics emerging in this field....
Proceedings Article

Smart Agriculture through IoT and Machine Learning for Analyzing Carbon Footprints

Ravi Kumar Banoth, B. V. Ramana Murthy
The agriculture sector has become a focal point in addressing global greenhouse gas emissions due to its substantial contribution to the carbon footprint. As population growth and resource consumption accelerate, there is an urgent need for sustainable solutions to mitigate environmental impacts without...

Financial Performance Analysis with Dupont Method at PT. Dyandra Media International Tbk

Qanitah Salsabila Idris
This study aims to evaluate the financial performance of PT. Dyandra Media International based on the DuPont system, which includes the ratios of Total Assets Turnover (TATO), Net Profit Margin (NPM), and Return on Investment (ROI**) for the period of 2021–2023. The research employs a quantitative descriptive...

Determinant of Income Inequality in Eastern Indonesia

Nur Amalia Malik, Fatmawati Fatmawati, Muhammad Jibril Tajibu
This research aims to identify and analyze the factors that influence income inequality in Eastern Indonesia, which often lags behind Western Indonesia. Income inequality is a serious problem that hinders equitable and sustainable economic development. In this context, this study explores the role of...
Proceedings Article

Cardio Disease Prediction Using ML

K. Deniel Raju, M. Santosh Bhargav, P. Deepika, A. Jaswanth Manohar, J. Dinesh Reddy
Cardiovascular diseases (CVDs) pose a significant worldwide health issue, and early prevention and detection are therefore critical to lowering mor- tality. This heart disease prediction app relies on sophisticated machine learn-ing techniques to assess an individual’s risk level against vital health...

Modelling Time Series Customer Preference Based on E-commerce Website

Huimin Jiang, Chunsheng Li, Farzad Sabetzadeh
In the research of customer preference for products, we need to collect enough customer data first, and then we can analyze it to realize the effective establishment of customer preference model. Although a reasonable model can be obtained, the customer’s own preference presents a dynamic state, which...
Proceedings Article

From Chaos to Clarity-A New Era in Document Clustering & Classification

Marry Prabhakar, K. Sreelekha, K. Shivani, V. Gopal, K. Satya Hemanth Kumar
High-dimensional documents play a crucial role in classification tasks, yet their size often raises challenges and signals potential issues. Dimensional reduction, while offering both advantages and disadvantages, becomes pivotal in managing these challenges. However, improper dimensional reduction can...
Proceedings Article

Diagnosis of Human Brain Tumor Based on Complex Image Processing Techniques using CNN

K. Venkateswara Rao, Pitla Vaishnavi, Shaik Latheef Baba, B. Kiran Teja Reddy
Brain tumor detection is increasingly becoming an issue in the medical field. A brain tumor is a growth or mass of abnormal cells in your brain cells develop uncontrollably. MRI (Magnetic Resonance Imaging) plays one of the primary roles in brain tumor detection where the tumor segmentation is required...

The Study of the “Size Effect” on the Market Efficiency and the Market Anomalies in NASDAQ

Siling Pan, Congrui Yin, Yu Ai, Zhiheng Li
Since the Efficient Market Hypothesis was proposed by Eugene Fama in 1970, it has been continuously challenged by various market anomalies and financial empirical evidence in the U.S. stock market. Inspired by the reserve effect, the momentum effect and the effect size discovered by De Bondt and Thaler,...
Proceedings Article

Self-adaptive Particle Swarm Optimization Algorithm with Mutation Operation based on K-means

Xue-mei Wang, Yi-zhuo Guo, Gui-jun Liu
Adaptive Particle Swarm Optimization algorithm with mutation operation based on K-means is proposed in this paper, this algorithm Combined the local searching optimization ability of K-means with the gobal searching optimization ability of Particle Swarm Optimization, the algorithm self-adaptively adjusted...

The Role Of Csr In Moderating The Relationship Between Profitability And Company Value

Hadratul Mukarram, Muhammad Sobarsyah
This study seeks to investigate the influence of e-commerce on the growth of micro, small, and medium-sized enterprises (MSMEs) in Indonesia. The rapid expansion of e-commerce has significantly increased MSMEs’ revenue and market reach. The shift from traditional to online shopping is driven by technological...
Proceedings Article

Improved Deep Joint Segmentation with Enhanced Feature Set for Cervical Spine Fracture Classification: A Comprehensive Literature Review

K. Goutham Raju, S. Ravikumar
Cervical spine fractures are critical medical conditions that demand rapid and accurate diagnosis due to their potential to cause severe neurological impairment or death. Traditional diagnostic methods relying on manual radiographic interpretation are often limited by subjectivity and time constraints....

Effect of Dividends as Moderator on Trading Volume and Stock Prices in the Green Economy

Ade Asriani, Syamsu Alam
This study aims to evaluate the performance of sustainable investments in the green economy sector, focusing on the paradoxical relationship between trading volume and stock prices, with dividends as a moderating variable. Using data from companies in the green economy sector listed on the Indonesia...
Proceedings Article

Multiple Types of Cancer Classification Using CTMRI Images Based on Learning Without Forgetting Powered Deep Learning Models

Avudurthi SaiKiran, D. Sarala, P. Raja Rajeshwari, Abhiram, K. Shiva Sai Prasad
Almost one in six deaths worldwide is due to infection, although the speed and accuracy of conventional diagnostic techniques are limited. Medical image analysis, such as CT and MRI scans, can now be done more quickly and accurately thanks to artificial intelligence (AI), which has become a potent tool...

Features of the Doctrinal Formulation of the Content of the Concept of Religious Extremism as a Form of Threat to Society and the State

K A Vlasov
In article the existing problem of indeterminacy of doctrinal determination of content of the concept “religious extremism” and lack of its legislative fixing is considered. Need of formulation of the considered concept is proved. The substance of this phenomenon allowing to realize features, the mechanism...

Development of Mutual Investment Funds in the Russian Federation

E S Nedorezova, K N Ermolaev, A M Mikhailov
The point of collective investment is to organise investments under professional management to collect funds from separate investors and later invest them with high yield. So, investments of several investors are managed as a unified portfolio, with every investor having his own share that is proportionate...

Research on Using Market Segmentation to do Recommendation in E-commerce

Bohan Zhao
In the background of the digital period, more and more e-commerce companies have emerged. However, the competition also becomes more intense than before own to a large number of rivals. In this case, it is important to offer the customers recommendation to boost their satisfaction and loyalty. This work...
Proceedings Article

Seismic Shift: Predicting Earthquakes With Deep Learning

V. Asha, P. Durga Valli Devi, A. Shreya, N. Manisha, K. Chandra Hasini
Earthquakes are a big threat. They kill people, wreck buildings, and mess up economies. We need to predict them well to lower risks and handle disasters better. This project uses deep learning methods, such as neural networks and Long Short-Term Memory (LSTM) models, to guess earthquake sizes and depths....
Proceedings Article

Mindmentor: Connect Career With AI

Janhavi Dwivedi, Khushi Sharma, Manisha Tayal, Rohit
Career guidance in the modern era faces significant challenges in creating accessible systems that effectively bridge education and employment. While there has been limited research on leveraging artificial intelligence (AI) in this domain, its potential to transform career guidance services in higher...
Proceedings Article

The application of Fuzzy clustering number algorithm in network intrusion detection

Gua Lang
In view of the defects of K-means algorithm in intrusion detection: the need of preassign cluster number and sensitive initial center and easy to fall into local optimum, this paper puts forward a fuzzy clustering algorithm. The fuzzy rules are utilized to express the invasion features, and standardized...

Determinants of Financial Deepening in Indonesia: Analyzing the Impact of Banking and Macroeconomic Factors

Ikbal Lutfi
Financial deepening plays a vital role in economic development, yet its determinants in Indonesia remain understudied. This research aims to analyze the impact of banking and macroeconomic factors on financial deepening in Indonesia. The data used in this research is quarterly data from 2019 to 2023...
Proceedings Article

Currency Identification with Real-Time Value Conversion

K. Archana, K. Chandrika, M. Ajay, P. Phannendra
In this article, we present an automatic currency recognition system based on digital image processing methods. The system is designed to identify currency notes through major features such as size, color, and printed text such that users are able to identify major details such as currency value, denomination,...

Redefining Womanhood in Generation Z: An Analysis of Gender Representation and Awareness in K-pop Culture

Yuxi Zhang, Liuhan Chen, Jiayang Chen, Xinmeng Mi, Shuyu Zhu
This study aims to explore gender awareness and representation in current K-pop industry through analyzing music videos, lyrics, and social media of three K-pop girl groups Red Velvet, LOONA, (G)I-DLE against gender discrimination in K-pop industry and patriarchal society in South Korea. The study adopts...
Proceedings Article

Video Content Recommendation System

K. Archana, K. Sindhu Priya, L. Jagath Simha Reddy, M. Vikesh Reddy
Every day, video streaming services produce enormous volumes of information, making it difficult for consumers to locate videos that are relevant to their interests. By offering personalized material based on viewing history, preferences, and metadata, recommendation engines improve the user experience....

Empirical Study of Profitability and Leverage on Sustainabality Reporting Disclosure in Mining Sector

Rifqi Novriyandana, Muhammad Rijal
This study aims to conduct an in-depth analysis of how profitability and leverage affect the transparency of sustainability reporting in the mining sector listed on the Indonesia Stock Exchange between of 2020–2023. Sustainability denotes the capability to fulfill current requirements without jeopardizing...
Proceedings Article

A Design of dual-band and flexible Microstrip Patch Antenna for Cancer Hyperthermia Therapy in Biomedical applications

P. Suvartha, K. Harsha Vardhan Raju, B. Sudhakar, G. Usha, P. Venkateswara Reddy
Design of dual-band and flexible microstrip patch antennas for cancer hyperthermia in biomedical applications. The proposed antenna consists of patch, with half ground plane and is used for impedance matching purposes. The proposed antenna meets the impedance bandwidth required for two bands,2.4 GHz...

Analysis of Methods for Calculating the Weighted Average Cost of Capital of a Company on the Example of an Industrial Enterprise

E A Dolbnya, M K Vasilyeva, A Y Lyukina
The weighted average cost of capital (WACC) is used to estimate the profitability of the company’s capital, the rate of return of the investment project and business. Within the framework of the article, an analysis of the methods for calculating the weighted average cost of capital of a company was...
Proceedings Article

Detection and Risk Prediction of Brain Tumor using Model-Agnostic Explainable Artificial Intelligence

Ramesh Alladi, R. N. V. Jagan Mohan, K. V. Ramana, P. Sumithabhashini
Most people are suffering from brain tumors in recent days. In medical image processing, brain tumor detection and risk prediction continue to be important problems needing very accurate models for early diagnosis and treatment planning. Using model-agnostic explainable Artificial Intelligence (XAI),...

Interactive Machines and Its Implication in Scientific Realism

Shuai Han
Since the tech boom in the early 2000s, computer science, especially the study of algorithms and mathematics, has been prevalent to satisfy new needs for efficiency and convenience. The founding father of modern computer science, Alan Turing, proposes the foundation of modern computability theories known...

Task Approach in the Bachelors’ Professional Competence Formation

K F Gabdrkhmanova, G R Izmailova, L Z Samigullina
The paper reveals the ways and means of improving the quality of training graduates in the field of “Oil and Gas Business” through a competence-based approach implementation to the content of vocational education modernization. The article provides a rationale for the expediency of using the task approach...
Proceedings Article

Identification of the D-S evidence conflict based on multi-source information

NAN Feng, LI Yang
TO solve the applying constraints problem of D-S evidence conflict in multi-information fusion and achieve the systematic identification of evidence conflict we introduce the K-L information on the distance function to describe the characteristics of the conflict between the evidence in the paper, construct...

Options of Improving Customer Focus of Small Businesses

N A Pleshkova, A K Nesmelova
Customer focus is one of the key factors determining success of small businesses. The purpose of this study is to define the options for improving customer focus of small enterprises and their staff and to implement the tools required to that end. The article proposes both organizational and individual...
Proceedings Article

Optimized Energy Consumption Prediction Using Dynamic Long Short Term Memory Based Deep Learning Technique

Sri Harish Nandigam, K. Nageswara Rao
This research looks at how well GRU, LSTM, and Dynamic LSTM architectures work at predicting energy use based on changes in time, pointing out their unique pros and cons. Long Short-Term Memory (LSTM) networks are noted for their ability to model complex temporal dependencies, making them well-suited...

Digital Literacy in Education: From Local to Global

Yukai Wei
With the advance of digital technology and the process of globalization, digital literacy becmoes a more important role in education, especially in global context. Digital literacy education is a continuous process from kindergarten to college and even in work places. It can be defined as the ability...

Factors of the Economic Adaptation of Migrants

K V Fofanova, A A Sychev, D M Borisov
The paper is focused on economic adaptation of migrants which is understood as the process of their integration into the economic system of the host community. It involves the acquisition of knowledge about its functioning, assimilation of economic norms adopted in it, formation of practical skills of...
Proceedings Article

IoT-Based Automatic Breaking Control System for Electric Vehicles and Monitoring System

B. Likitha, Y. David Solomon Raju
Tragically, many innocent lives are lost daily in car accidents. Driving mistakes and delayed emergency response time are the leading reasons. The braking system is an essential part of every vehicle. Problems or accidents might occur as a result of improper or delayed braking. Failure to rapidly apply...

Office Networks and Promotions in Driving Consumer Loan Sales via Savings Deposits: A Study of Regional Development Banks in Sulawesi

Andi Reski Nurulnisa Mulhas, Abdul Razak Munir, Fahrina Mustafa
This study examines the relationship between office networks, promotional spending, and savings collection in driving consumption loan sales at regional development banks in Sulawesi Island. Using multiple regression analysis with classical assumption tests, data from annual reports of four banks—Bank...

Are Situation Models Embodied?

Beige Jin, Yucheng Wu, Cheok Kei Lo
Researchers have proposed that readers construct situation models when reading texts. According to Zwaan’s event-indexing model, a situation model can be analyzed in five dimensions: space, time, entity, causation, and motivation. There is robust behavioral evidence showing the existence of situation...
Proceedings Article

Professional Pathway Hub

J. Srikanth, Pampati Bhavana, A. Harshitha, V. Rahul, S. K. Rashed
This project titled “PROFESSIONAL PATHWAY HUB” aims to develop a college placement website designed to streamline the placement process. It includes separate login for faculty and students, offering personalized access. The website offers students with three modules: Training Skill Development Module,...

The Status of the Russian Education System: The Modernization of Human Resource

O K Kudriashova, AV Mar’ina, G R Fakhretdinova, O Y Khanova
In this article, the authors are going to examine the contemporary status of human resources in Russia. The essential approaches to the education system’s quality will be analyzed. The main problems of the educational domain will be revealed, as well as the ways of its abolition and human resource development.

Research on the Impact of Advertisement on Consumer Behavior

Bowen Fan
Marketers use various media platforms to influence consumer behavior and maintain customer loyalty in the market. In this connection, it is imperative to note that various advertisements on the media platforms contain diverse information concerning the products. This engages the consumer to develop an...