2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)最新文献

Study on Multi-Viral Infection on Lungs using Data and Predictive Analysis Techniques 基于数据和预测分析技术的肺部多病毒感染研究

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142678

S. Varalakshmi, P. Vijayalakshmi, V. Rajendran

引用次数: 0

Object Recognition based on Deep Learning Algorithms using Embedded IoT with Interactive Interface 基于深度学习算法的嵌入式物联网对象识别与交互界面

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142821

Swapna Borde, Chandan Patil, Chinmay Sonawane, Mankrit Singh

{"title":"Object Recognition based on Deep Learning Algorithms using Embedded IoT with Interactive Interface","authors":"Swapna Borde, Chandan Patil, Chinmay Sonawane, Mankrit Singh","doi":"10.1109/ICICCS56967.2023.10142821","DOIUrl":"https://doi.org/10.1109/ICICCS56967.2023.10142821","url":null,"abstract":"Object detection is one of the most popular applications of machine learning in the modern era. With the growth of IOT in recent times, dedicated devices offering real-time object detection have seen overwhelming demand and applications in many sectors e.g. security, healthcare, workplace etc. Different algorithms and approaches have been implemented and studied in terms of object detection. To refer to a few the YOLO family, RCNN family, SSD etc. This research study compares the performance of YOLO and Faster RCNN based on a custom dataset containing different objects and items. The IOU of each data point (image) is calculated and compared. YOLO performs better for a small margin. In this research study, a language learning interactive model is demonstrated based on object detection(YOLO), NLP, python, flask and IoT (Raspberry Pi.) The web application is running on is divided into two parts, learning and practice. The learning part has a raspberry pi device which has a camera module that captures real-time footage, recognizes the object and reads out its name in the language the user is learning. The practice has the same setup, with the application asking the user to show a particular object. Points are awarded for correct guesses, making the learning process more interactive and involving.","PeriodicalId":219272,"journal":{"name":"2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114663051","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

Weighted Mask Recurrent-Convolutional Neural Network based Plant Disease Detection using Leaf Images 基于加权掩膜递归卷积神经网络的植物叶片病害检测

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142777

R. Sharmila, R. Kamalitta, Moorthy, D. P. Singh, Amit Chauhan, P. Acharjee

引用次数: 0

Comparative Analysis of Statistical Optimizers for Logistic Regression Logistic回归统计优化器的比较分析

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142817

Madhava Gaikwad, Ashwini Doke

引用次数: 0

Efficient Fetal Health Monitoring and Classification with Machine Learning 基于机器学习的高效胎儿健康监测与分类

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142312

Kabir Singh, Prayla Shyry, Ramya G Franklin

引用次数: 0

Implementation of Cloud Computing in Higher Education: A Bibliographic Analysis 云计算在高等教育中的实施:文献分析

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142653

Soham Samanta, Ajit Kumar Pasayat

引用次数: 0

A Comparative Study on Deep Facial Expression Recognition 深层面部表情识别的比较研究

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142703

Manisha B. Sutar, Asha Ambhaikar

{"title":"A Comparative Study on Deep Facial Expression Recognition","authors":"Manisha B. Sutar, Asha Ambhaikar","doi":"10.1109/ICICCS56967.2023.10142703","DOIUrl":"https://doi.org/10.1109/ICICCS56967.2023.10142703","url":null,"abstract":"This paper reviews state-of-the-art developments in facial emotion identification with the help of Deep learning technology. This study has reviewed the recent research developments in facial emotion recognition, along with the performance of leading deep learning architectures and algorithms. Further, this study discusses about the contribution, model performance, and limitations of various architectures like Convolutional Neural Network (CNNs) and Recurrent Neural Networks (RNNs). Moreover, this study has examined the effectiveness of various cutting-edge deep learning algorithms for detecting facial expressions. As a result, it has been found that the most successful architectures are Hybrid CNN-RNNs, which combine convolutional layers with recurrent ones. This is due to their ability to learn hierarchical representations of data and exploit temporal dependencies in inputs. There are also architectures that use meta-parameters such as attention vectors or word embeddings; however, they do not provide significant improvements over RNNs alone. Also, this study covered the application of deep learning to facial emotion recognition, as well as its potential limits. Next, this study discusses about some research works that can be done in this field. This research study reviews the literature on face recognition. It also explains the relationship between facial emotion and facial feature extraction, which is essential for emotion recognition.","PeriodicalId":219272,"journal":{"name":"2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127336788","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 using Python Flask 使用Python Flask的聊天机器人

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142484

Vineet Singh, Y. Rohith, Bhanu Prakash, Usha Kumari

引用次数: 0

Brain Tumor Segmentation and Evaluation Empowered with Deep Learning 基于深度学习的脑肿瘤分割与评估

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142619

Sona Sadique, X. Nishanthi, V. N. Swaathy, Selva Mabisha, Roshni Thanka, Bijolin Edwin

{"title":"Brain Tumor Segmentation and Evaluation Empowered with Deep Learning","authors":"Sona Sadique, X. Nishanthi, V. N. Swaathy, Selva Mabisha, Roshni Thanka, Bijolin Edwin","doi":"10.1109/ICICCS56967.2023.10142619","DOIUrl":"https://doi.org/10.1109/ICICCS56967.2023.10142619","url":null,"abstract":"A critical stage in the diagnosis and planning of brain tumor treatment is the segmentation of the tumor. Deep learning approaches have lately demonstrated considerable potential for properly segmenting brain cancers from MRI and CT data. In this research study, a deep learning-based comparative strategy is used for segmenting and evaluating brain tumors using U-Net, Residual Network, and Multi ResNet architectures are compared. The deep neural networking model used in the proposed method is trained using a sizable dataset of MRI brain image scans, enabling it to distinguish between tumor-affected regions and normal, healthy brain tissue. The multi-ResNet architecture is utilised to accurately separate the tumor regions and capture the high-level features of the brain images. Proposed experimental comparison demonstrates that the multi residual network achieves high accuracy and outperforms traditional methods on benchmark datasets. Among the three algorithms performed in this study, Multi ResNet marked dice coefficient of 0.89, Precision of 0.91 and Recall of 0.87.","PeriodicalId":219272,"journal":{"name":"2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125819746","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

Assessing Public Sentiment towards Digital India through Twitter Sentiment Analysis: A Comparative Study 通过Twitter情绪分析评估公众对数字印度的情绪:一项比较研究

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) Pub Date : 2023-05-17 DOI: 10.1109/ICICCS56967.2023.10142882

Shaik Suhail Ahmed, P. Uppalapati, S. Ayesha, S. Hussain, Kandula Narasimharao, N. Silpa

引用次数: 0