IC-FAES - 2023

International Conference on Financing and Accounting for Economic Strategies (IC-FAES)

Articles

IoT Enhanced Trading Strategies for Gold Futures and Options

Preeti Garg, Dr. Rashmi Sharma,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

IoT integration is changing the financial industry, particularly in the trading of gold futures and options. This research explores how real-time sensor data combined with IoT-powered...Read More

Optimization of Bioanalytical Liquid Chromatography - Tandem Mass Spectrometric Method for quantification of tazemetostat – an epithelioid sarcoma treatment drug in Human Plasma

Govindarao Yedlapalli, Y. Ganesh Kumar,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The pharmaceutical drug tazemetostat prevent spreading of cancer cells in adults and was available in the form of tablets in market. The literature reveals that, no analytical method re...Read More

Analyzing the Impact of COVID-19 on the Indian Wooden Handicraft Sector: Challenges, Adaptations, and Future Prospects through AI Insights

Dr. Suresh Kumar Kashyap , Megha Dua,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Debasements and disappointments underway frameworks are brought about by functional and natural conditions. Spontaneous, unscheduled maintenance techniques do, truth be told, b...Read More

Artificial Intelligence and Machine Learning in Drug Discovery and Development

Ritik Johari, Annavi Gupta, Aniket Sharma, Sakshi Garg, Kandasamy Nagarajan, Pankaj Bhatt,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Drug discovery has undergone significant changes over the past decade thanks to artificial intelligence (AI). To improve the efficiency and precision of medication research and devel...Read More

A Trust Secure Attacker Detection with upgraded Deep Learning-Assistance for SDN Networks

M.SABARISH , Dr.A.S.ARUNACHALAM,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Software Defined Networking (SDN) technologies may be used to properly identify and monitor network security vulnerabilities brought about by the emergence of programmable features....Read More

Chromium Navigator Extension: Voice-activated assist for disabled

Shivam Amoli , Minakshi Memoria, Sonam Bhandari, Kapil Joshi, Anupam Singh ,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The World Wide Web (WWW), for example, has grown increasingly ingrained in daily life and is becoming increasingly necessary for public, economic, individual, and even liveliho...Read More

Machine Learning-Enhanced Analysis of the Economic Impacts of E-Commerce on National Growth: A Comprehensive Study

Dr. Bhadrappa Haralayya, Dr.Mamta Mallikarjun,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This study employs advanced machine learning to analyze the economic ramifications of e-commerce on national growth. By examining extensive datasets, it discerns patterns i n consumer behavior, market trends, and technological advancements. The research aims to uncover both direct and indirect influences on economic growth, employment, and trade. Through the integration of machine learning models, key drivers and inhibitors within the e-commerce ecosystem are identified, offering valuable insights for policymakers and businesses. This comprehensive approach blends traditional economic analysis with cutting-edge methodologies to provide a holistic understanding of the transformative impact of e-commerce on a country's economy.

Model Testing and Validation of Retail Mix Factors and Brain-Computer Interface for Enhanced Retail Shopper Behavior Analysis and Human-Machine Interaction

Mahendra Reddy Bogala , Venkata Adinarayana Rao Uppu, Gowri Lakshmi Vanapalli, V K Kasthuri Godey, Sunil Kumar, V V Devi Prasad Kotni ,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This research study tests and validates the model of retail mix factors influencing shopper behavior and explores the integration of brain-computer interface (BCI) for enhanced analysis and human-machine inte raction in retail.It examines the significance of retail mix factors through data collection and statistical analysis. The study also explores the potential applications of BCI technology in retail, focusing on improving shopper behavior analysis and enhancing human-machine interaction. This research contributes to a deeper understanding of retail shopper behavior and the potential for BCI integration in the retail industry.

Applicability of machine learning in Waste water quality detection

Shyamala Prakash Shingare, Manoj B. Mandake, Rahul N. Patil, Ashwini G. Thokal, Yaser Qureshi, Chetan M. Thakar,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The aquatic environment is going through an unheard-of surge in data availability, necessitating the use of crucial methods like data analysis, classification, and prediction. The creation, oversight, simulation, assessment, and optimization of water treatment and management systems all depend on these methodologies. Machine learning models and findings have become potent tools in the study of the water environment. To control energy consumption and guarantee high- quality effluent, wastewater treatment facilities extensively use a variety of sensors. These sensors produce enormous amounts of data, which can be effectively monitored by automated systems. Many statistical and learning techniques have been developed to automatically identify errors in order to deal with this influx of data. Additionally, machine learning (ML) has shown promise in managing watershed security, lowering water pollution, and improving water quality. We examine the assessment of water quality in our study for a variety of aquatic contexts, including drinking water, sewage, seawater, and groundwater. We go into great detail in this paper about how ML algorithms have been used to evaluate water quality in a number of different contexts. Implementing essential techniques like data analysis, classifica- tion, and prediction has become necessary due to the aquatic environment’s exponential growth of data. The development and optimization of water treatment and management systems have been made possible by machine learning models, which have become crucial tools in water environment research. ML algorithms can be used to evaluate water quality across a range of aquatic contexts and automatically detect errors.

A DETAILED REVIEW OF BIOMETRIC SYSTEMS BASED ON FINGERPRINT

Senthil kumar Natarajan, Ramadevi Rathinasabapathy, Arikrishnaperumal RamaswamyAravind,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Outdated key and token-based authentication systems are being gradually replaced by biometric systems. Security and acknowledgment precision are the two most significant ang les to consider in planning a biometric framework. In this paper, a complete survey is introduced to reveal insight into the most recent improvements in the investigation of finger impression-based biometrics covering these two aspects with the end goal of further developing framework security and acknowledgment exactness. The limitations of the existing research are outlined and suggestions for future work are made after a thorough analysis and discussion. This article discusses the two most significant attacks on biometric schemes: attacks on the employer interface and template databases. The research topic for the foreseeable future is how to design appropriate countermeasures to thwart these attacks, providing strong security while simultaneously maintaining high recognition accuracy. Also, acknowledgment precision under non-ideal circumstances is bound to be unacceptable and, in this way, needs specific consideration in biometric framework plan