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International Journal of Food and Nutritional Sciences最新文献

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Data Privacy in Machine Learning 机器学习中的数据隐私
International Journal of Food and Nutritional Sciences Pub Date : 2023-09-24 DOI: 10.48047/ijfans/v12/i1/272
Reza Shokri
{"title":"Data Privacy in Machine Learning","authors":"Reza Shokri","doi":"10.48047/ijfans/v12/i1/272","DOIUrl":"https://doi.org/10.48047/ijfans/v12/i1/272","url":null,"abstract":"","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139336781","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
A NOVEL LOSS OPTIMIZED VGG-16 APPROACH FOR CORN LEAVES DISEASE DETECTION 一种新的损失优化vgg-16玉米叶片病害检测方法
International Journal of Food and Nutritional Sciences Pub Date : 2023-07-30 DOI: 10.48047/ijfans/v11/i12/727
{"title":"A NOVEL LOSS OPTIMIZED VGG-16 APPROACH FOR CORN LEAVES DISEASE DETECTION","authors":"","doi":"10.48047/ijfans/v11/i12/727","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i12/727","url":null,"abstract":"","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128242875","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
A STUDY ON SUPERVISED LEARNING MODEL – K-NN CLASSIFICATION 监督学习模型- k-nn分类的研究
International Journal of Food and Nutritional Sciences Pub Date : 2023-07-22 DOI: 10.48047/ijfans/v11/i12/740
{"title":"A STUDY ON SUPERVISED LEARNING MODEL – K-NN CLASSIFICATION","authors":"","doi":"10.48047/ijfans/v11/i12/740","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i12/740","url":null,"abstract":"","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130701891","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
Assessment of Psychotropic Drug Prescribing Practices in Depression, Bipolar Disorder and Schizophrenia at A Tertiary Health Care Setting 评估精神药物处方实践抑郁症，双相情感障碍和精神分裂症在三级卫生保健设置
International Journal of Food and Nutritional Sciences Pub Date : 2023-07-08 DOI: 10.48047/ijfans/v11/i11/306
{"title":"Assessment of Psychotropic Drug Prescribing Practices in Depression, Bipolar Disorder and Schizophrenia at A Tertiary Health Care Setting","authors":"","doi":"10.48047/ijfans/v11/i11/306","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i11/306","url":null,"abstract":"","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128940649","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
Chatbot Based Self-diagnosis for Disease Prediction using Machine Learning 基于聊天机器人的疾病自我诊断与机器学习
International Journal of Food and Nutritional Sciences Pub Date : 2023-05-19 DOI: 10.48047/ijfans/v11/i12/476
R.V.S.Lalitha, S. Samsani, Dommu La Selene, Yeluri Sai
{"title":"Chatbot Based Self-diagnosis for Disease Prediction using Machine Learning","authors":"R.V.S.Lalitha, S. Samsani, Dommu La Selene, Yeluri Sai","doi":"10.48047/ijfans/v11/i12/476","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i12/476","url":null,"abstract":"Healthcare sector is shifting focus on improving services by adopting new technological approaches. This enriches the functional characteristics of diagnostic data. With the increase in need of Medical services and lack of availability of the resources, Healthcare Chatbot is an attempt to assist common people with primary health care by reducing the burden on medical frontline workers. The objective of this research work is to design a 24/7 available chatbot that answers common medical queries, predicts diseases based on the symptoms and radiology images provided, aids with medication/ precautionary measures that are to be followed. A chatbot can provide a customized one on one interaction through text or voice interface and gives reply using Artificial Intelligence. It responds differently to messages containing certain keywords and uses Machine Learning to adapt their responses to fit the situation. The healthcare chatbot handles a large number of requested queries at a time making it reliable to use. The chatbot responds to medical queries only to the best of its knowledge database.","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134057754","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
Agriculture and Information Technology – A Case Study of ITC Ltd.,- ILTD Division 农业和信息技术-以ITC有限公司为例，ILTD分部
International Journal of Food and Nutritional Sciences Pub Date : 2023-04-08 DOI: 10.48047/ijfans/v11/s1/100
{"title":"Agriculture and Information Technology – A Case Study of ITC Ltd.,- ILTD Division","authors":"","doi":"10.48047/ijfans/v11/s1/100","DOIUrl":"https://doi.org/10.48047/ijfans/v11/s1/100","url":null,"abstract":"","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"382 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122840795","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
Crop and Fertilizer Recommendation System 作物和肥料推荐系统
International Journal of Food and Nutritional Sciences Pub Date : 2023-04-05 DOI: 10.48047/ijfans/v11/i12/179
B. L. Rajeswari, SK. Abdul Muheeth, SK. Vaseem Naazleen, T. P. Kumar, V. Phanindraamouli
{"title":"Crop and Fertilizer Recommendation System","authors":"B. L. Rajeswari, SK. Abdul Muheeth, SK. Vaseem Naazleen, T. P. Kumar, V. Phanindraamouli","doi":"10.48047/ijfans/v11/i12/179","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i12/179","url":null,"abstract":"Being a source of food, raw resources, and jobs, agriculture is essential to the global economy. However, with a growing population, the demand for food production has increased, making it imperative to improve crop yield and sustainability. Since agriculture is greatly influenced by the surrounding natural conditions, we face many challenges in actual agriculture practices. one of the biggest challenges faced by farmers in determining the right crop and fertilizer to use for optimal yield. Efficient technology can be used to increase yields and reduce possible challenges in this area. One approach is to use machine learning techniques to propose crops and fertilizers to farmers based on their unique needs. In this article, we present a crop and fertilizer recommendation system developed using efficient ML models. We link our model with a web application that allows users to input their data and receive personalized recommendations in multiple regional languages. Our system aims to provide farmers with an easy-to-use tool that can help optimize their crop yield and increase sustainability.","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115902154","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: 1
Recognizing Human Activity Using Hybrid Models of CNN and LSTM in Deep Learning 在深度学习中使用CNN和LSTM混合模型识别人类活动
International Journal of Food and Nutritional Sciences Pub Date : 2023-04-05 DOI: 10.48047/ijfans/v11/i12/178
Dr. G. Krishna Mohan, N. Gowthami, M. L. Tulasi, M. Geethika, P. K. Jyothi
{"title":"Recognizing Human Activity Using Hybrid Models of CNN and LSTM in Deep Learning","authors":"Dr. G. Krishna Mohan, N. Gowthami, M. L. Tulasi, M. Geethika, P. K. Jyothi","doi":"10.48047/ijfans/v11/i12/178","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i12/178","url":null,"abstract":"Human Activity Recognition (HAR) is a time series categorization challenge that requires data from a number of timesteps in order to correctly classify the activities that are carried out. In recent times, the usage of image datasets for activity recognition has increased, however good classification cannot be done with just one frame. To increase recognition accuracy, multiple frames of data and the context of environment are required. It is known that a video is made up of a number of still images (frames) that are quickly updated to create the illusion of motion. The hybrid models of Deep Learning (DL) algorithms like Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) are proposed for recognising the human activity from video dataset. The hybrid models, Convolutional Long Short-Term Memory (ConvLSTM) and Long-term Recurrent Convolutional Network (LRCN) are introduced to improve the accuracy of HAR on video dataset. The models will be evaluated on standard video datasets","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465645","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
Sentiment Analysis on Reviews of E-commerce Sites Using BERT 基于BERT的电子商务网站评论情感分析
International Journal of Food and Nutritional Sciences Pub Date : 2023-04-05 DOI: 10.48047/ijfans/v11/i12/214
Mr.P.R.Krishna Prasad, Maddina Sai Jahnavi, Maddikara Jaya, Ram Reddy, Kalyanapu Venkata Rama, Krishna Narendra
{"title":"Sentiment Analysis on Reviews of E-commerce Sites Using BERT","authors":"Mr.P.R.Krishna Prasad, Maddina Sai Jahnavi, Maddikara Jaya, Ram Reddy, Kalyanapu Venkata Rama, Krishna Narendra","doi":"10.48047/ijfans/v11/i12/214","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i12/214","url":null,"abstract":"The Internet's widespread use has had a significant impact on electronic commerce. The trend of review-oriented consumption, where consumers rely on customer reviews of a film, is gaining popularity in the market. E-commerce platforms face a significant challenge in accurately interpreting user sentiments from the large volume of customer evaluations. This research suggests a BERT-based ecommerce reviews sentiment analysis algorithm to address the aforementioned issues[3]. Our approach to researching sentiment analysis involves analysing annotated data and labelling entities using the BIO (B-begin, I-inside, O-outside) data labelling pattern. By utilizing this method, we are able to accurately identify and classify entities within the data, and determine their sentiment. Based on experimental findings on the Taobao cosmetics review datasets, our approach has demonstrated significant improvements in both accuracy rate and F1 score when compared to conventional deep learning methods.","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132628099","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
Building an Image Enhancer using Deep Learning and SICE Techniques 使用深度学习和SICE技术构建图像增强器
International Journal of Food and Nutritional Sciences Pub Date : 2023-04-05 DOI: 10.48047/ijfans/v11/i12/185
Mr. V. Koteswara Rao, Asst. Professor, Srilatha Mathangi, Vasipalli Mahitha Reddy, Tullimilli Shanmuka, Sagar, Vinay Kumar Buddi, Tiyyagura Varsha
{"title":"Building an Image Enhancer using Deep Learning and SICE Techniques","authors":"Mr. V. Koteswara Rao, Asst. Professor, Srilatha Mathangi, Vasipalli Mahitha Reddy, Tullimilli Shanmuka, Sagar, Vinay Kumar Buddi, Tiyyagura Varsha","doi":"10.48047/ijfans/v11/i12/185","DOIUrl":"https://doi.org/10.48047/ijfans/v11/i12/185","url":null,"abstract":"Most of the images captured on digital devices like cameras, mobiles are often under exposed or over exposed to light due to inappropriate lighting conditions, which is a cause of loosing detailing of the picture. To adjust the lighting in the outcome, there are various techniques like single image contrast enhancement which are trained on a single image to spotlight the defects in the image and correct it wherever needed. This could solve the irregularities to some extent, but may not give satisfactory results in all possible scenarios. Hence, we need to train a memory (algorithm in this case) on multiple images, which could memorise a defect and its corresponding resolution tactics. All of this knowledge could be used at once to identify multiple blemishes in the input and corresponding fixes could be made for each of them. For this purpose of knowledge extraction, Convolutional neural networks (CNN) are employed on the dataset which will study and identify the problems like darkness, over exposure, blurred images and apply the remedies on them. Low Light Image/ Video enhancing (LOL) dataset is used for this purpose which has 500 pairs of defective and corresponding corrected images. CNN is trained easily on the dataset to provide significantly better results over the existing SICE techniques.","PeriodicalId":290296,"journal":{"name":"International Journal of Food and Nutritional Sciences","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121821074","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
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