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Research Paper

A comparison of Machine Learning techniques for predicting IMDb score of movies

In the world of film industry analytics, predicting the success of movies based on various input features has garnered considerable attention in recent times. This research is important because it can help people in the movie industry make better decisions. It allows them to allocate resources effectively, minimize risks, and enhance the overall success of movie projects. This research paper presents and compares different machine learning techniques to predict the IMDb score of movies by leveraging multiple input features such as release date, genre, budget, gross revenue, profit, number of votes, country of origin, director, actor, writer, production studio, and runtime. We also account for the inflation rate over the years while considering the monetary attributes. We explore two methods: one where we transform and reduce the data using techniques like one-hot encoding and PCA, and another where we use label encoding for categorical data. In the first method, we try three models: Support Vector Regressor (SVR), RandomForest Regressor, and Recurrent Neural Network (RNN). In the second method, we use RandomForest Regressor, Gradient Boosting Regressor, and LightGBM Regressor. We measure how well these models predict by looking at Mean Squared Error (MSE) and R-squared. This research helps provide people in the film industry with insights into what factors contribute to a movie's success.

Published by: Anubhav Mathur, Snigdha Patil

Author: Anubhav Mathur

Paper ID: V9I6-1241

Paper Status: published

Published: January 3, 2024

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Research Paper

Impact of cultural factors and gender roles on maternal parenting in India

Purpose: To analyse the role of cultural factors and gender roles on maternal parenting in India Study design: Self report questionnaire Methodology: Sixty women in the age range of 35-73 reported their response through a self-report questionnaire Results: Majority of the women who participated in the survey strongly or moderately agreed that Indian culture does play a significant role in mothers labour participation. Majority also agreed that they are unemployed in-order to take care of family- an important gender role in India. Conclusion: results of the current study reveal that Indian culture and gender roles have played a significant role in the level of maternal employment

Published by: Aarohi Shah

Author: Aarohi Shah

Paper ID: V9I6-1238

Paper Status: published

Published: January 1, 2024

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Case Study

The categorical product of two odd cycle is a 2-connected graph

Recent advancements in graph theory often incorporate the concept of graph products. The concept of the categorical product of graphs was introduced by the mathematician Frank Harary in his paper titled "Topological Concepts for Maximum Graphs" published in 1969. The categorical product of graphs can be used to model and analyze complex network topologies. By considering the product of individual components, such as nodes or edges, one can study the interconnections and properties of the overall network structure. In light of this, our study aims to explore the properties of the categorical product of two graphs and demonstrate that the categorical products of two-cycle graphs with odd lengths are 2-connected.

Published by: Haoyu Zhang

Author: Haoyu Zhang

Paper ID: V9I6-1237

Paper Status: published

Published: December 30, 2023

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Review Paper

Deforestation control and forest monitoring system using Lora technology

Deforestation poses a critical threat to the natural world, leading to loss of biological diversity, habitat destruction, and also adverse effects in the climate. To fight against this challenge, our project presents a deforestation control and system monitoring that utilizes LoRa (Long Range) technology and a range of sensors, including fire, smoke, DHT11(humidity and temperature), sound, and tilt sensors, integrated with Arduino. This innovative system offers an effective solution for early detection, monitoring, and control of forest fires, thereby coming up with the mitigation of environmental damage and conservation of forests. The project operates on principles of real-time acquisition, transmission, and remote monitoring.

Published by: B. H. S. S. Madhuri, B. Anusha Reddy, CH. Vedavyas, G. Mourya Teja, K. Bhavika Sai Rani, Dr. B. Siva Prasad

Author: B. H. S. S. Madhuri

Paper ID: V9I6-1233

Paper Status: published

Published: December 30, 2023

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Case Study

Management of Yuvanpidika (acne-vulgaris) – A case study

Acne-vulgaris is one of the most frequently seen chronic skin disorders. It is the most common dermatological disease of adolescents, affecting more than 89% of teenagers and frequently continuing into adulthood. It is an inflammatory condition of the pilosebaceous unit characterized by the formation of open and closed comedones, papules, pustules, nodules, and cysts. It can be correlated with Yuvanpidika. Eruptions on the face of an adolescent are called Yuvanpidika. The incidence of Yuvanpidika is increasing day by day due to the consumption of fried, spicy foods, grated foods, chocolates, etc, which leads to vitiations of doshas. This case is an ideal example of Yuvanpidika and is successfully treated with Ayurveda therapy. The patient was suffering from pustular acne, black-colored spots, pain, and itching along with a burning sensation present on their face for the last year. Considering the clinical features and vitiated doshas vata, kapha, and rakta are involved in pathology. The patient was treated with an external application of kustumbruadi lepa which is mentioned in Sushruta Samhita, Chikitsa Sthana. Treatment was continued for 45 days. At the end of treatment, there was a complete disappearance of acne, pain relief, burning sensation, itching, and also an improvement in discoloration of the face. The skin of the face is glowing. Hence it was concluded that Kustumbruadi lepa is highly effective in the management of Yuvanpidika.

Published by: Dr. Swati Rani, Dr. P.C. Mangal

Author: Dr. Swati Rani

Paper ID: V9I6-1230

Paper Status: published

Published: December 26, 2023

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Case Study

A comprehensive literature survey on non-contact laser-based measurement systems

Measurement is quantifying, evaluating, or accessing various physical quantities. Dimensional measurement is the most important factor determining a manufactured component's quality. There are 3 forms of measurement – manual, contact automated, and noncontact automated measurement. Manual measurement is when an operator performs a measurement using handheld instruments. Even if one person performs inaccurate measurements this leads to inaccuracy and hence the quality of the part is compromised. To overcome this human error, automated measurement systems were developed. In automated measurement, a part is placed within the system and the measurements are performed without human intervention. Hence improving the accuracy and reliability of the measurement process. Measurement systems have become the backbone of the manufacturing industry today. Various methods and technologies are used to develop these measurement systems. This comprehensive literature survey focuses on non-contact measurement systems. It also highlights the advances in these measurement systems, and how non-contact measurement systems have an upper hand over contact-based systems along with case studies on related research work presented for non-contact measurement in various fields.

Published by: Shivkumar A., Dr. S.V. Suresh Babu, Jhanavi Trilok

Author: Shivkumar A.

Paper ID: V9I6-1229

Paper Status: published

Published: December 26, 2023

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