Indexed In Scopus
  Scopus ID: 21100926589

Volume 9 Special Issue 4


Smart Garbage Monitoring System Leveraging Raspberry Pi Technology

G.N.S. Kanthi Sree, C. Khyathi Sri and Namani Deepika Rani

Healthy lifestyle and good environment start from a clean place. In this highly populated metropolitan city, the crisis for cleanliness needs to be discussed. Managing of garbage has various steps included in it, starting from the waste collection, segregation to waste management it requires a lot of work to be done behind.

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Python Application for Conducting Online Examination

Mohammed Nihal Shareef, Prabhuthvam Chakali, Abhishek Ghogre and Reddy Saisindhuteja

Nowadays exams are all conducted online, and the marks allocation is being automated. The proctoring of the exam session is done in various ways based on the importance of the exam. The certification exams, hiring/recruitment exams are hosted in online mode and assessment is also automated.

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Impact of Cobalt to NaOH/KOH Ratio on Properties of Cobalt Ferrites in Co-precipitation and Reverse Micelles Methods

K. Devy, M. Murugan, M. Lakshminadh, G.S.V.R.K. Choudary, M. Chaitanya Varma and Y. Aparna

Cobalt ferrite (CoFe2O4) nanoparticles were synthesized by co-precipitation and reverse micelle methods with different ratios of cobalt to sodium hydroxide (NaOH) or potassium hydroxide (KOH) (reagent). This study investigates the influence of reagents and varying cobalt to NaOH/KOH ratio on the completion of reactions and structural properties of cobalt nano-ferrites.

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Enhanced Automatic Recommender System: Leveraging Sentiment Analysis and Deep Learning

Lingam Sunitha, Kambam Shreya, Baridula Umamaheshwar Reddy and Godavarthi Yashwitha

Online social networks offer helpful information about people’s perspectives on a variety of topics. These data are gathered and evaluated by applications such as monitoring and recommendation systems (RS). The advanced wellbeing observation component of the knowledge-based recommendation system (KBRS) described in this work can help detect clients who might be stressed out or depressed.

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Stock Price Prediction Using Long Short-term Memory

B. Veda Vidhya and Ajmeera Kiran
One of the most difficult challenges facing investors in this day and age is trying to accurately predict stock values. Since the prices of stocks are very non-linear and fluctuate often, it is exceedingly difficult to make precise forecasts regarding their future performance.

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