Computer Science & Engineering: An International Journal最新文献_第3页

Foodligence – Predicting Expiry Date of Perishable Foods to Reduce Loss and Waste 食品科学-预测易腐食品的有效期以减少损失和浪费

Computer Science & Engineering: An International Journal Pub Date : 2022-12-30 DOI: 10.5121/cseij.2022.12615

Trewon Weerasooriya, Kishore Kumar

{"title":"Foodligence – Predicting Expiry Date of Perishable Foods to Reduce Loss and Waste","authors":"Trewon Weerasooriya, Kishore Kumar","doi":"10.5121/cseij.2022.12615","DOIUrl":"https://doi.org/10.5121/cseij.2022.12615","url":null,"abstract":"“Food loss and waste” is a growing issue for the environment, the economy, and society worldwide. It has an adverse effect on social, environmental, and economic issues. Poor planning, excessive production, and customer perception are the main causes of food loss and waste. Inefficient use of perishables before to expiration is another significant contributor to food loss and waste. The study primarily concentrates on Sri Lanka's hotels and restaurants, one of the two main sub-sectors of the hospitality and food services business. To reduce food loss and waste during the processes of the food supply chain of hotels and restaurants, the research suggests an expiry predictor for perishable food items using artificial intelligence. It also suggests a donation platform to distribute any surplus or unconsumed perishables to the needy/beneficiaries. The predictor enables hotels and restaurants to be aware of the best dates to use the perishables they have purchased, while if any are left over or spoil, they can be listed using the freshness index so that people in need can request them and make purchases for a price range the hotels and restaurants have specified. The solution aims to reduce waste in the food supply chain and control it to the greatest extent feasible.","PeriodicalId":361871,"journal":{"name":"Computer Science & Engineering: An International Journal","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123078905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative and Qualitative Analysis of AI and ML Projects on Github by the Firsttime Contributors 首次贡献者对Github上AI和ML项目的定量和定性分析

Computer Science & Engineering: An International Journal Pub Date : 2022-12-30 DOI: 10.5121/cseij.2022.12603

Vivek Ar, Karthikeyan P

引用次数: 0

Plant Leaf Diseases Identification in Deep Learning 植物叶片病害的深度学习识别

Computer Science & Engineering: An International Journal Pub Date : 2022-10-31 DOI: 10.5121/cseij.2022.12501

Milon Rana, Tajkuruna Akter Tithy, Nefaur Rahman Mamun, Hridoy Kumar Sharker

引用次数: 1

TracKid – A Location Tracking Application for Children on School Transport TracKid -一个位置跟踪应用程序的孩子在学校交通

Computer Science & Engineering: An International Journal Pub Date : 2022-08-31 DOI: 10.5121/cseij.2022.12401

R. Karanja, E. Khakata

{"title":"TracKid – A Location Tracking Application for Children on School Transport","authors":"R. Karanja, E. Khakata","doi":"10.5121/cseij.2022.12401","DOIUrl":"https://doi.org/10.5121/cseij.2022.12401","url":null,"abstract":"Education does not only entail children sitting in class to read books and study, but it also involves activities outside the classroom such as co-curricular activities, transport system, religious activities, and cleaning but unfortunately, they are not given as much thought as anticipated. In the school transport sector specifically, there has been a growing concern among parents on the safety of their children when they are on their way back home to school. Some parents are not able to take their children to and from school due to work demands and frequent traffic snarl-ups, therefore they choose to enroll their child into the school transportation system to cushion them of that burn. The problem however is that even with the school transportation, parents are not able to track the movements of their children while they are on transit to and from school and this has brought about many cases of children getting lost and not arriving home and this results into a blame-game between the school and the parents. The school, in this case, the drivers and the teachers are unable to account for the children and this brings further mistrust, and hence the parents are forced to either bear with the situation or pull out their children from the program altogether and look for alternative options. This paper provides a solution that uses a web application enabling the school, parents and drivers to be accountable for the children while on transit in the school transportation system. This will allow all the stakeholders to communicate efficiently and in turn ensure children’s safety.","PeriodicalId":361871,"journal":{"name":"Computer Science & Engineering: An International Journal","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vehicle Detection and Count in the Captured Stream Video Using Opencv in Machine Learning 机器学习中使用Opencv捕获流视频中的车辆检测和计数

Computer Science & Engineering: An International Journal Pub Date : 2022-06-30 DOI: 10.5121/cseij.2022.12301

Milon Rana, Tajkuruna Akter Tithy, Madina Hasan

引用次数: 2

An Efficient LSTM Model for Fake News Detection 一种有效的LSTM假新闻检测模型

Computer Science & Engineering: An International Journal Pub Date : 2022-04-30 DOI: 10.5121/cseij.2022.12201

Jayesh Soni

引用次数: 1

Study of Technological Interventions in Collection and Transportation of Municipal Solid Waste Management Practices – A Case of Ahmedabad City 城市固体废物收集和运输管理实践中的技术干预研究——以艾哈迈达巴德市为例

Computer Science & Engineering: An International Journal Pub Date : 2022-02-28 DOI: 10.5121/cseij.2022.12109

Esha Dalal, Gayatri Doctor, Rahul Patel

{"title":"Study of Technological Interventions in Collection and Transportation of Municipal Solid Waste Management Practices – A Case of Ahmedabad City","authors":"Esha Dalal, Gayatri Doctor, Rahul Patel","doi":"10.5121/cseij.2022.12109","DOIUrl":"https://doi.org/10.5121/cseij.2022.12109","url":null,"abstract":"In today’s scenario, to cater all services in a living habitat is very necessary part to fulfil the need of each and every individual to live a comfortable level of their living standard. Due to population upsurge and urbanization, solid waste management is one of the chief issues to deal with as it affects quality of life. Ahmedabad is the 7th largest city of India and generates about 4000 Metric tons of waste daily. Smart Cities are defined in various ways by different people, but all have an underlying concept that being as “smart” involves using information and communication technologies (ICT), the internet to address urban challenges. The Ministry of Housing and Urban Affairs (MoHUA) under the Swachh Bharat Mission (SBM) -Urban designed the idea of Swachh Survekshan in which they have rated cities based on the innovative interventions undertaken by them to enhance cleanliness or swachhta. Swachh Survekshan toolkit of 2017 - 2018 have given importance to use technological parameters like Vehicle Tracking System (VTS), Biometric attendance systems etc, thus encouraging cities to incorporate them, especially in Primary Solid Waste Management. This research paper studies the Primary Municipal Solid Waste Management in Ahmedabad with data collection and interactions with the municipal officials of Ahmedabad Municipal Corporation (AMC). It studies the implementation and usage of the Vehicle tracking System (VTS) - Ecoskipper in Ahmedabad. The study was done in 2018, includes analysis of existing scenario. A framework for the study was made to analyze the Vehicle Tracking System technology.","PeriodicalId":361871,"journal":{"name":"Computer Science & Engineering: An International Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Facial Emotion Recognition as Spatial Image using Gabor Filter 基于Gabor滤波的空间图像面部情绪识别

Computer Science & Engineering: An International Journal Pub Date : 2022-02-28 DOI: 10.5121/cseij.2022.12110

Shubham Luharuka, Asha S. Manek

引用次数: 0

Web Auto Configuration for N-Tier in VM based Dynamic Environment by Reinforcement Learning Approach: A Study 基于强化学习的虚拟机动态环境下n层Web自动配置研究

Computer Science & Engineering: An International Journal Pub Date : 2022-02-28 DOI: 10.5121/cseij.2022.12104

K. Prajapati, Dinesh J Prajapati

引用次数: 0

Object Detection Techniques based on Deep Learning: A Review 基于深度学习的目标检测技术综述

Computer Science & Engineering: An International Journal Pub Date : 2022-02-28 DOI: 10.5121/cseij.2022.12113

Utkarsh Namdev, Shikha Agrawal, R. Pandey