2022 IEEE World Conference on Applied Intelligence and Computing (AIC)最新文献_第8页

Design of Rectangular Microstrip Patch Antenna for Wi-Fi Application: Enhancement of Bandwidth and Gain 用于Wi-Fi应用的矩形微带贴片天线的设计:增强带宽和增益

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848972

A. Javali

引用次数: 0

Performance Analysis of Wiener filter in Restoration of Covid-19 Chest X-Ray Images, Ultrasound Images and Mammograms 维纳滤波器在Covid-19胸部x线图像、超声图像和乳房x线图像恢复中的性能分析

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848862

Sneha M R, B. Manju

引用次数: 0

A Machine Learning Model for Spam Reviews and Spammer Community Detection 垃圾邮件评论和垃圾邮件社区检测的机器学习模型

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848811

Kiran P. Rangar, Atiya Khan

{"title":"A Machine Learning Model for Spam Reviews and Spammer Community Detection","authors":"Kiran P. Rangar, Atiya Khan","doi":"10.1109/AIC55036.2022.9848811","DOIUrl":"https://doi.org/10.1109/AIC55036.2022.9848811","url":null,"abstract":"People’s choices to purchase a product are influenced by its internet ratings and recommendations. Spammers manipulate product sales by creating fraudulent ratings on online social media platforms. The majority of current research on online review has concentrated on supervised learning algorithms, which require labelled data.. This is an insufficient requirement for online review. In this piece, we will be concentrating on identifying any misleading text reviews that we come across. The goal of this study is to discover spam comments and spammer groups. Various spam detection strategies have been proposed in the literature, including Review-Linguistic (RL) based features, User-Behavioral (UB) based features, and Review-Behavioural (RB) based features, but none of them include a simultaneous detection of these characteristics and relative importance of the features while also defining the communication between spam users. The suggested work establishes a diverse network of users and feedback nodes, and then applies the spam detection methodology to the issue of the communication environment. A feature weighting approach is presented to determine the relative value of features. Our solution uses an attention mechanism to discover the spamming hints hidden within the material and determines the relevance of each word in the text by computing its weight. We used the CNN algorithm to classify the reviews and compared the results with the usual Naive Bayes and Support Vector Machine algorithms.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123436406","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: 7

The AdaBoost Approach Tuned by Firefly Metaheuristics for Fraud Detection 基于萤火虫元启发式的AdaBoost欺诈检测方法

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848902

A. Petrovic, N. Bačanin, M. Zivkovic, Marina Marjanovic, Milos Antonijevic, I. Strumberger

引用次数: 9

Performance Analysis of Robotic Arm using Simulink 基于Simulink的机械臂性能分析

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848866

Rakesh Kumar Mahto, Jaspinder Kaur, Pulkit Jain

引用次数: 0

Lane Estimation using Improved Hough Transform for Isolated and Metro Highway 基于改进Hough变换的孤立和地铁公路车道估计

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848812

Ningthoujam Johny Singh, Kishorjit Nongmeikapam

引用次数: 0

English to Tamil Multi-Modal Image Captioning Translation 英语到泰米尔语的多模态图像字幕翻译

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848810

V. H. Vishnu Kumar, N. Lalithamani

引用次数: 1

An Efficient Predicting Lifeforms Using QGIS 利用QGIS有效预测生命形态

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848971

N. Ramesh, K. Charan, P. Sai Gowtham, B. Seetharamulu, B. Naresh Kumar Reddy

引用次数: 0

Face Recognition System with 2D Anti-Spoofing 二维抗欺骗人脸识别系统

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848909

A. Savanth, Kumar G R Manish, Prathyaksh Narayan, M. L. Nikhil, V. Gokul

{"title":"Face Recognition System with 2D Anti-Spoofing","authors":"A. Savanth, Kumar G R Manish, Prathyaksh Narayan, M. L. Nikhil, V. Gokul","doi":"10.1109/AIC55036.2022.9848909","DOIUrl":"https://doi.org/10.1109/AIC55036.2022.9848909","url":null,"abstract":"Over the past two decades face recognition has gained immense interest and is one of the most interesting research areas. The reason for this could be the need for designing automatic recognition and surveillance systems or a human-computer interface. This involves knowledge and contribution not only from various fields of pattern recognition, machine learning, computer vision, and image processing but also in psychology and neuroscience. There are several challenging factors in face recognition like illumination, scale, expression, and pose which are addressed by several researchers to achieve a good recognition rate, but still, there is no robust technique that is available against uncontrolled factors from the environment, hardware, and software of the system. A facial recognition system is a technology that can recognize a human face by pinpointing and measuring facial features in an image. Face recognition allows access to buildings without the need for a key or even faster transits in airport security. But fraudsters can target this face recognition system like any other privacy technology with spoofing. Such a spoofing attack can be quite severe. Hackers will be able to gain access to secure facilities or buildings and homes resulting in the sabotage of critical and confidential data. In this work, a face recognition system with anti-spoofing features is proposed. ResNet50 neural network architecture is used for training the model for face recognition. For anti-spoofing, eye blink detection for photo attacks, and reflection of light for video attacks are incorporated. A prototype is built that implements these functions in hardware.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132950962","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

Optimum thresholding for nodule segmentation of lung CT images 肺CT图像结节分割的最佳阈值分割

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848878

Alok Kumar, M. Choudhry

引用次数: 0