IC-DLAI - 2023

International Conference on Deep Learning and Artificial Intelligence (IC-DLAI)

Articles

LEVERAGING MACHINE LEARNING ALGORITHMS FOR PREDICTIVE MAINTENANCE IN INTERNET OF THINGS (IOT) SYSTEMS

Abdul Sttar Ismail, Falah Amer Abdulazeez,

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,...Read More

Smartphone Usage Experience Impact of E-Health Services

Romala Vijaya Srinivas, Krishna Babu Sambaru, Mamatha Musunuri, Nallapuneni Sai Prasanna, Chaluvadi Manikanta Sanjay, G. Surya Bangaru Naidu,

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

Abstract:

The Health services are progressing as the fostering forces of E-Health services for extending support to the needy patients in virtual doctor and patient on consultation fee basis. It is ...Read More

Integrating Bhagavad Gita in Modern Management: ISM of Organizational Factors & Communication Protocols for IIoT.

Dr. Pushkar Dubey , Prof. Amit Joshi, Prof. Ramesh Chandra Mishra,

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

Abstract:

This research study explores the integration of the teachings of the Bhagavad Gita in modern management practices, specifically through the application of Interpretive Structural Mod...Read More

An Extensive Review of Diverse Solar Cooker Types: A Comprehensive Analysis with AI Enhancements

Kaustubh Bhende , Sahil Rakshe, Laksh Bahl, Aanchal Darodkar , Praful Nandankar ,

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

Abstract:

This comprehensive review critically examines various types of solar cookers, offering a thorough analysis enriched by AI enhancements. The study explores the technological landscape, efficien cy, and practicality of diverse solar cooker designs. Leveraging advanced AI methodologies, the abstract provides a nuanced overview of key findings, trends, and potential advancements in solar cooking technology. The insights presented contribute to the broader understanding of sustainable cooking solutions and lay the foundation for informed decision-making in adopting solar cookers for eco-friendly and efficient culinary practices.

Moving Vehicle Registration Plate Detection Using Machine Learning

B Sreedhar, Gowtham Prasad T V S, Sivudu Macherla, K. S. Raghuram, M. Sunil Kumar,

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

Abstract:

This research investigates the application of machine learning techniques in the detection of moving vehicle registration plates. The study explores the effectiveness of various algorithms in accurately identifying and localizing license plates in dynamic and real-time scenarios. By utilizing image processing and pattern recognition methods, the research aims to develop a robust and efficient system capable of detecting license plates under challenging conditions, such as varying lighting conditions and different vehicle orientations. The proposed approach offers potential benefits for law enforcement, traffic monitoring, and parking management systems. Through empirical evaluations, the study aims to validate the effectiveness and reliability of the machine learning-based approach for moving vehicle registration plate detection, providing insights for future research and development in this field

Title 45- Effective Retail Grocery sales prediction using Random Forest and time series algorithm

AnshumaliParashar , Dr .R. INDUMATHY SENIOR , Mr Akhilesh Gowda Y. N, Dr. Firas Jamil ALotoum, Dr. Guna Sankar Doguparthy , Dr. Natrayan L ,

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

Abstract:

Precise forecasting of retail food sales is crucial for inventory control, optimizing the supply chain, and meeting consumer demands. In this research work, we provide a strategy that com binesthe power of time series algorithms and random processes to achieve accurate sales prediction in the retail grocery store context. The challenges and complexities of forecasting sales in a dynamic, fast-paced retail setting are covered in this essay. We use a hybrid model that combines time series techniques with the advantages of random processes in order to overcome these difficulties.

Exploring the Impact of Bottom Sediments on Surface Water Quality: A Comprehensive Analysis Using AI Predictions

Ozoda Safibullayevna Abdullayeva, Alijon Olimjonovich Muhammadjonov , Gozal Abdurasulovna Xusayinova,

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

Abstract:

This study delves into the intricate relationship between bottom sediments and surface water quality through a comprehensive analysis enhanced by AI predictions. By em- ploying advanced artificial intelligence models, we explore the dynamic interactions and potential implications of sedimentary influences on water quality parameters. The abstract encapsu- lates key findings, shedding light on the nuanced mechanisms that contribute to the overall environmental quality. Through meticulous examination, our research aims to offer valuable insightsintothecomplexinterplaybetweenbottomsedimentsand surface water, providing a foundation for informed environmental management strategies.

Wearable Device for Varicose Vein Disease Detection and Treatment using BAN Technique: Expanding Indoor Communication with Visible Light Communication (VLC) Technology

P.Padmapriya, S.SathishKumar, Manimaran Naghapushanam, L.Manoharan, Chethan Kumar C, Nithilan T S,

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

Abstract:

Globally, the varicose vein disorder is about 2% - 73% of the population according to the National Institute of Health, 2022 survey report also affects mostly adults at age group of 4 1 – 60 years. Similarly, in India over 30% of people are affected by varicose vein disorder. In order to detect and treat this disorder the proposed system was designed in such a way that it was novel home-based wearable automated system provide temporary treatment using the Body Area Network (BAN) technique. The device incorporates advanced sensing capabilities and wireless communication technology to monitor and provide targeted treatment for varicose veins. Furthermore, the abstract explores the integration of Visible Light Communication (VLC) technology to expand indoor communication capabilities. VLC utilizes light signals for data transmission, enabling efficient and secure communication in indoor environments. By leveraging VLC technology, the wearable device can enhance communication within healthcare settings, allowing seamless data exchange and remote monitoring of varicose vein disease. This research contributes to the development of innovative healthcare solutions, improving the detection and treatment of varicose veins while revolutionizing indoor communication systems.

The Ethics of AI: Exploring the Social Implications of Machine Learning

Dr. Jolly Masih, Dr Suresh Frederick., Dr Madhurima Ganguly, Mithila Roy Bardhan, Dr.G.Charles Babu, Sandeep Aggarwal,

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

Abstract:

This paper delves into the ethical concerns surrounding AI, focusing on biases in algorithms, societal inequalities, and decision-making processes. It evaluates stakeholders' responsibilities, advocating for transparency and human-centered design. The study also addresses the ethical challenges of automation on employment and societal stability. Additionally, it explores existential risks like autonomous weapons and superintelligent AI, proposing regulatory frameworks and international cooperation to mitigate them. Overall, the paper emphasizes a holistic approach to AI ethics, integrating technical expertise with interdisciplinary perspectives to safeguard human values in the digital age.

Predictive Maintenance System for Industrial Equipment Using Random Forest and Decision TreeAlgorithmswith IoT

Kuldeep Shivprasad, Sharma, K P B Hinduja, M Skanda, Neetha, Natrayan,

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

Abstract:

Index Terms: time series, random forest, grocery retail power of time series algorithms and random processes to achieve accurate sales prediction in the retail grocery store context. The chall enges and comple xities of forecasting sales in a dynamic, fast-paced retail setting are covered in this essay. We use a hybrid model that combines time series techniques with the advantages of random processes in order to overcome these difficulties.