2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)最新文献_第3页

$5times 5$ MIMO Antennas for Future 5G mm-Wave Communication 未来5G毫米波通信的5美元× 5美元MIMO天线

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075274

Abdul Samad, M. Zahid, A. Sultan, Y. Amin, S. Shoaib

引用次数: 0

Fake Reviews Classification using Deep Learning 使用深度学习的虚假评论分类

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075156

Shahbaz Ashraf, Faisal Rehman, Hana Sharif, Hina Kim, Haseeb Arshad, Hamid Manzoor

{"title":"Fake Reviews Classification using Deep Learning","authors":"Shahbaz Ashraf, Faisal Rehman, Hana Sharif, Hina Kim, Haseeb Arshad, Hamid Manzoor","doi":"10.1109/IMCERT57083.2023.10075156","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075156","url":null,"abstract":"Customer decisions are heavily influenced by online reviews. Scammers and spammers can now influence consumer behavior by spreading false information in the form of reviews, either by promoting nonexistent goods or by disparaging rival goods. This means that identifying bogus from genuine reviews is more crucial than ever. For text classification, the standard method employs a bag-of-words model to represent text, leading to sparsity and word representations learned from neural networks with poor capacity for handling unknown words. In this work, we offer a method that uses an ensemble of models built using an aggregation methodology to make predictions based on data from three individual models trained using a multi-view learning approach. Our technology is based around a central idea of using bag-of-n-grams in conjunction with parallel convolution neural networks to extract valuable information from review text (CNNs). With the same amount of computing needed to train deep and sophisticated CNNs, we can leverage local context with an n-gram embedding layer that has tiny kernel sizes. In order to better extract feature representations from text, our CNN-based architecture takes n-gram embeddings as input and processes them with concurrent convolutional blocks. In addition to including linguistic aspects of the review text and non-textual information associated with reviewer behavior, our method for identifying fraudulent reviews also considers reviewer activity. We test our method using the openly available Yelp Filtered Dataset, and get F1 scores as high as 92% for recognizing fraudulent reviews.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130798729","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

Skin Cancer Prediction using Deep Learning Techniques 使用深度学习技术预测皮肤癌

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075313

Tayyab Irfan, A. Rauf, M. Iqbal

{"title":"Skin Cancer Prediction using Deep Learning Techniques","authors":"Tayyab Irfan, A. Rauf, M. Iqbal","doi":"10.1109/IMCERT57083.2023.10075313","DOIUrl":"https://doi.org/10.1109/IMCERT57083.2023.10075313","url":null,"abstract":"There is a growing need for early diagnosis of skin cancer because of the rapid growth rate of melanoma skin cancer, its high treatment costs and high mortality rate. The detection of skin cancer cells was usually done manually, and most cases require a lengthy cure. Currently the main problem in skin cancer detection is high misclassification rate and low accuracy. This paper provides a technique based on deep learning techniques to detect the cancer from skin images. Convolutional neural network-based model consisting of six layers with hidden layers is used in this work. The problem of low accuracy is addressed with the help of regularization technique and features are selected with the help of convolution method. To improve the accuracy of the model hyper parameter tuning along with model parameter tuning are performed. Publicly available dataset is used in the research which contains images with cancer and normal instances. The major steps in this work includes data collection, preprocessing, data cleaning, visualization, and model development. At the end a comparative analysis is performed with state-of-the-art techniques. The proposed model achieved good accuracy of 88% on HAM dataset as compared to state of the art techniques.","PeriodicalId":201596,"journal":{"name":"2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132878361","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

Prediction of IMDB Movie Score & Movie Success By Using The Facebook 利用Facebook预测IMDB电影评分和电影成功

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075189

I. Sindhu, Faryal Shamsi

引用次数: 1

Investigation of MPC for MIMO system in presence of both input and output constraints with relative parametric variation 同时存在输入和输出约束且参数变化的多输入多输出系统MPC研究

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075329

Saeed Ahmad, S. Aslam, Salman Khalid, Usman Shabbir, M. Qaiser

引用次数: 0

Magnetic Anamoly-Based Detection of a Submarine 基于磁剖析的潜艇探测

2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT) Pub Date : 2023-01-04 DOI: 10.1109/IMCERT57083.2023.10075316

A. Ashraf, Tanveer Abbas, Amna Ejaz

引用次数: 0