2022 IEEE World Conference on Applied Intelligence and Computing (AIC)最新文献

An Innovative Technique for Intelligent Decision Making: Smart TOPSIS using Naïve Bayes Classification Algorithm 智能决策的创新技术:使用Naïve贝叶斯分类算法的智能TOPSIS

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848807

D. Datta, S. Biswas, D. Datta

{"title":"An Innovative Technique for Intelligent Decision Making: Smart TOPSIS using Naïve Bayes Classification Algorithm","authors":"D. Datta, S. Biswas, D. Datta","doi":"10.1109/AIC55036.2022.9848807","DOIUrl":"https://doi.org/10.1109/AIC55036.2022.9848807","url":null,"abstract":"This research work is based on the development of an intelligent Multi-Criteria Decision-Making Method. Research is mainly focused towards conversion of TOPSIS from its conventional form to an intelligent form. We named this intelligent variation as SMART TOPSIS. Smartness of the TOPSIS is due to implementation of supervised learning Naïve Bayes classification algorithm which allows decision makers to compute the weights of each criterion probabilistically, especially by Bayes Theorem. So, here our basic thrust has been given to implement Naïve Bayes classification for weights of the various criteria. TOPSIS has been chosen for this task because it is simple, rationale and comprehensive. Efficiency of computation in TOPSIS is very high and the mathematics behind the measurement of relative performance for each alternative is simple. The knowledge base of SMART TOPSIS is dynamic in nature because Bayesian classification for learning the weights of the criteria of a decision-making model under TOPSIS is considered dynamically. The paper discusses the machine learning details towards dynamic Bayesian classification for selection of the best alternatives among many.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"34 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":"125921246","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

Smart Agriculture System using IOT 使用物联网的智能农业系统

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848948

S. Tanveer, Namala Meghana Sai Sree, Bheemisetty Bhavana, Devana Hima Varsha

引用次数: 0

Use of Soft Computing Techniques in Credit Risk Management of an Indian Bank: Application of Artificial Neural network 软计算技术在印度某银行信用风险管理中的应用:人工神经网络的应用

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848897

Abhijit Dutta, A. Barman

引用次数: 0

Triple Band Stepped Microstrip Antenna for Wireless Energy Harvesting 用于无线能量收集的三波段阶梯微带天线

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848921

Gitika Singh, Deepak Bhatia

引用次数: 0

Classification Of Indian Sign Language Characters Utilizing Convolutional Neural Networks And Transfer Learning Models With Different Image Processing Techniques 利用卷积神经网络和不同图像处理技术的迁移学习模型对印度手语字符进行分类

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848930

Atharva Dumbre, Shrenik Jangada, Shreyas Gosavi, Jaya Gupta

引用次数: 1

A Review on Deep Learning Models for Optic Disc Segmentation and Glaucoma Classification 视盘分割与青光眼分类的深度学习模型研究进展

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848985

C.A. Irfana Parveen, R. Sunder, R. S. Kumar

引用次数: 0

Crowd Counting Model Using Convolutional Neural Network 基于卷积神经网络的人群计数模型

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848854

Akshita Patwal, M. Diwakar, Vikas Tripathi, Prabhishek Singh

引用次数: 2

Sign Language Detection using Convolutional Neural Network (CNN) 基于卷积神经网络(CNN)的手语检测

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848844

Nipun Jindal, Nilesh Yadav, Nishant Nirvan, D. Kumar

引用次数: 5

3D Grid Based Virtual Trial Room 基于三维网格的虚拟试验室

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848947

Debangana Ram, Bholanath Roy, Vaibhav Soni

{"title":"3D Grid Based Virtual Trial Room","authors":"Debangana Ram, Bholanath Roy, Vaibhav Soni","doi":"10.1109/AIC55036.2022.9848947","DOIUrl":"https://doi.org/10.1109/AIC55036.2022.9848947","url":null,"abstract":"Image based virtual trial room technologies are used for integrating modern in-store clothes into a person image which have caught the interest of research as well as representatives of the multimedia and computer vision communities. However, it’s indeed challenging. However, most existing image-based virtual trial room techniques combine both person and in-store clothes images without taking into consideration of mutual relation. An ideal process will not only change the target clothing into the best suitable shape but it will maintain the cloth uniqueness in the resulting image like color, shade, logos and texture of the material that represent the primary clothes. Prior Generative Adversarial Network (GAN) approaches failed to achieve the above essential performance requirements for realistic virtual trial room performance because they do-not manage considerable spatial misalignment between the primary image and targeted cloth. We present a novel fully-learn-able 3D grid virtual trial room for overcoming all significant barriers in this project. In the first stage, it performs an affine transformation and then thin plate spline transformation for matching the in-store clothes to the target person’s body shape using the Geometry Matching Component. As a result, the warped clothes in the shop appear more realistic. We use Transformation Guided Component that generates a composition mask to blend the warped garments and the image produced is guarantee smoothness, which reduces borderline distortions of warped clothes and creates its outcomes more realistic. Numerous trials on the fashion data-set show that our model delivers decent performance in both qualitative and quantitative terms.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"17 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":"114326962","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

Virtual Therapy for Phobias:A Human Computer Interaction 恐惧症的虚拟治疗:人机交互

2022 IEEE World Conference on Applied Intelligence and Computing (AIC) Pub Date : 2022-06-17 DOI: 10.1109/AIC55036.2022.9848950

E. Shanthini, V. Sangeetha, P. Selvapriya, B. Shivani, M. Shanmuga Priya., K. Anindita

{"title":"Virtual Therapy for Phobias:A Human Computer Interaction","authors":"E. Shanthini, V. Sangeetha, P. Selvapriya, B. Shivani, M. Shanmuga Priya., K. Anindita","doi":"10.1109/AIC55036.2022.9848950","DOIUrl":"https://doi.org/10.1109/AIC55036.2022.9848950","url":null,"abstract":"A specific phobia is a common anxiety problem that can be effectively treated with a variety of therapies such as exposure therapy and cognitive therapy. Exposure therapy is one of the most well-known approaches for treating a specific phobia. The purpose of exposure therapy is to allow the target patient to be exposed to the source of anxiety or its context without placing them in danger. Virtual reality exposure therapy is one potential study area. Interconnecting with AI, Virtual Reality (VR) is becoming more popular as a treatment option for many phobias. Virtual environments are used to simulate varying levels of anxiety in users. While being monitored by a therapist, users can navigate and interact with avatars and items in these environments. To do this, a virtual world is created with Unity and Blender 3D and then integrated into the Oculus quest virtual reality glasses. Patients will be taken to - house-like or building sets and progressively exposed to insects, heights, water, and darkness while progressively nearing them with no real risk or further exposure to trauma through the Oculus quest. This will be made as realistic as possible to make the patient feel more at ease while also assisting them in adjusting to their concerns in environments where these phobias are more common. Also, a hardware unit was introduced to monitor the heart rate sensor which is interfaced with ESP8266. Our solution gives the therapy to the patients who undergo Nyctophobia, Acrophobia, Entomophobia, and Aquaphobia.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"179 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":"124467338","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