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Research Paper

Optimizing waste recycling through data science: a deep learning approach with Tensorflow

The intricate relationship between recycling practices and the generation of solid waste emphasizes the multifaceted character of sustainable waste management. A comprehensive comprehension of these dynamics is crucial for formulating specific interventions and policies that optimize the positive effects of recycling on our environment. This research explores the application of deep learning, specifically utilizing TensorFlow, in the domain of waste classification for enhanced waste recycling. The study focuses on the efficient categorization of diverse waste materials, including cardboard, glass, trash, metal, and plastic, through the implementation of advanced neural networks. By leveraging TensorFlow's capabilities, our research demonstrates the successful development and deployment of deep learning models that exhibit accurate and reliable waste classification. The utilization of deep learning model was able to select accurately the most important types of garbage worthy for recycling processes. And not only streamlines recycling processes but also addresses the environmental challenges associated with inefficient waste management. The findings finally highlight the transformative potential of integrating cutting-edge technologies into waste sorting systems, paving the way for a more sustainable and eco-friendly approach to waste disposal. This research contributes to the ongoing efforts in environmental conservation by presenting a viable solution to enhance waste recycling practices through the power of deep learning.

Published by: Oghenetega Adogbeji

Author: Oghenetega Adogbeji

Paper ID: V9I6-1167

Paper Status: published

Published: November 16, 2023

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Review Paper

Cloud Migration Challenges for IP PBX in Critical Hospital Environments

Migrating to the cloud for IP PBX systems in critical environments like hospitals is a transformative endeavor offering significant benefits, but it also introduces a unique set of challenges. This article delves into the complexities associated with this migration, addressing key concerns such as data security and privacy, reliability, network connectivity, cost management, legacy system integration, compliance with healthcare regulations, and user training and adoption. By proactively recognizing and effectively tackling these challenges, hospitals can harness the potential of cloud-based IP PBX systems to enhance patient care, streamline operations, and maintain the highest standards of security and reliability.

Published by: Saju Thanislas

Author: Saju Thanislas

Paper ID: V9I6-1153

Paper Status: published

Published: November 16, 2023

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Review Paper

Assessing the effects of social isolation on elderly individuals

Loneliness and social isolation, prevalent among older adults, have profound and often interconnected effects on physical and mental health, leading to increased mortality, depression, and cognitive decline. This paper reviews the literature on social isolation and loneliness in seniors. Key factors contributing to social isolation include the death of a spouse, physical relocation, retirement, changes in family structures, changes in mobility, chronic health problems, household income, race, ethnicity, gender, and sexual orientation. These factors have varying impacts on the social well-being of older adults. Research suggests that subjective social isolation has a stronger link to mental health, while objective social isolation is more strongly related to physical health. Both social isolation and loneliness are associated with higher rates of depression and psychological distress among seniors. Understanding social isolation and loneliness in seniors is crucial for developing targeted interventions and support systems to enhance the well-being of this growing demographic.

Published by: Lakshita Popli

Author: Lakshita Popli

Paper ID: V9I6-1136

Paper Status: published

Published: November 13, 2023

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Survey Report

Impact of marketing mix on the retailers’ preference towards cookies

In this research, the researchers try to find the retailer preference towards the biscuits industry in Chennai. The main objective is, to find the retailer's satisfaction, measuring the effect of promotional mix and retailers’ perception towards biscuits and cookies. The data have been collected using a structured Questionnaire from the 125 retailers and a convenience sampling technique method is being used. The research design used in this study is Descriptive in nature. In this research, the SPSS software is used to analyze Data. The brand is the influence factor in purchasing biscuits and cookies. Retailers are satisfied with the cookie's quality and brand name of the biscuits, majority of the retailers have maintained a smooth relationship with their dealers.

Published by: Ivan Kenny Raj L., Ramesh Babu S., S.M. Atchaya Eswari.

Author: Ivan Kenny Raj L.

Paper ID: V9I6-1145

Paper Status: published

Published: November 8, 2023

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Review Paper

Prospective Management of Isqate Ehtemali ( Threatened Abortion) – A Systematic Review

In the Unani System of Medicine Threatened abortion is called Isqat Ehtemali and Ajhaze manzar is the Arabic vernacular of Threatened abortion. It is defined as vaginal bleeding before 20 weeks gestational age in the setting of a positive urine and/or blood pregnancy test with a closed cervical os, without passage of products of conception and without evidence of fetal or embryonic demise. In the Unani system of medicine, Plants have been used extensively in unani system of medicine to maintain the health of the female reproductive system. These have been used mostly in combination or monotherapy. Much of the scientific interest has been directed towards the prevention of abortion. The herbs often used in the prevention of threatened abortion are Ashok chal, Mazu, Mayan, etc. This review paper highlighted on Unani concept of Threatened abortion, its prevention, and management with Unani medicine.

Published by: Aysha Raza

Author: Aysha Raza

Paper ID: V9I2-1367

Paper Status: published

Published: November 8, 2023

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Research Paper

Fingerprint Sensing Gun

In this modern age of science and technology, threats to our lives are exposed to a lot of unplanned factors, one of them which could being shot by a gun, rather intentionally or not! Fingerprint-sensing gun technology can prove to be a great savior for this crisis. It allows fast authentication of one’s fingerprint to unlock the gun and is used only when necessary. Unauthorized users cannot fire the weapon which itself gives an upper hand to the owner of the weapon. By the use of a handful of electronic components, such a gun can be designed. It could prevent children from shooting a family member and untrained individuals.

Published by: Rohitkumar Mukeshbhai Mistri, Kapil Virbhadra Mathpati

Author: Rohitkumar Mukeshbhai Mistri

Paper ID: V9I5-1194

Paper Status: published

Published: November 7, 2023

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