首页>外文会议>International Conference on Computational Systems and Information Technology for Sustainable Solution

International Conference on Computational Systems and Information Technology for Sustainable Solution

召开年：2018
召开地：Bengaluru(IN)
出版时间：-

会议文集：-

会议论文

热门论文

全部论文

全选（0）

1.Cost-effective and self-regulating digital Noticeboard systems

机译：具有成本效益和自我调节的数字布告牌系统
- 作者：Shivam Maheshwari;Vatsalya Singhal;Vijay Ravi;Siddhant Shrivatsava;K. Badarinath
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Google;
- Cloud computing;
- Computer science;
- Liquid crystal displays;
- Monitoring;
- Servers;
- Databases;
2.Application of Image Processing and Machine Learning for Smart Restaurants

机译：图像处理和机器学习在智能餐厅的应用
- 作者：Supreeth S Angadi;Rachana H;Sowmya B J;Seema S
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Sentiment analysis;
- Support vector machines;
- Image processing;
- Machine learning;
- Computer science;
- Postal services;
- Conferences;
3.3D Image Reconstruction Using Polygonal Based 2D Cross Sections

机译：基于多边形的2D横截面的3D图像重建
- 作者：Indira S. P.;Shreedhara K. S.
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Image reconstruction;
- Image segmentation;
- Solid modeling;
- Two dimensional displays;
- Conferences;
- Information technology;
- Data mining;
4.Course Recommendations In Moocs : Techniques And Evaluation

机译：MOOCS的课程建议：技术和评估
- 作者：Varun Sabnis;Tejaswini PD;Sharvani GS
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Collaboration;
- Semantics;
- Conferences;
- Information technology;
- Recommender systems;
- Computational modeling;
5.Mining Prominent Closed Frequent Item sets from Data Streams using Dynamic and Adaptive Minimum Support Threshold

机译：使用动态和自适应最小支持阈值，挖掘突出的封闭频繁项目从数据流设置
- 作者：Pavitra Bai S;Ravi Kumar G K
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Itemsets;
- Data mining;
- Microsoft Windows;
- Heuristic algorithms;
- Conferences;
- Information technology;
- Optimization;
6.Integrated Cosine And Tuned Cosine Similarity Measure To Alleviate Data Sparsity Issues For Personalized Recommendation

机译：集成余弦和调谐余弦相似度措施，以减轻个性化推荐的数据稀疏问题
- 作者：H. Mohana;M. Suriakala
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Collaboration;
- Recommender systems;
- Electronic commerce;
- Business;
- Prediction algorithms;
- Conferences;
7.Profile Similarity Communication Matching Approaches for Detection of Duplicate Profiles in Online Social Network

机译：配置文件相似性通信匹配方法，用于检测在线社交网络中的重复配置文件
- 作者：Revathi S;M. Suriakala
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Cloning;
- Facebook;
- Privacy;
- Security;
- Monitoring;
- Conferences;
8.Methodologies in Face Recognition for Surveillance

机译：监视的人脸识别方法
- 作者：Pavithra S G Bhat;Andhe Dharani
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Face;
- Face recognition;
- Video surveillance;
- Lighting;
- Databases;
- Cameras;
9.Data Mining for the Social Awareness of the Social Networks

机译：社会网络社会意识的数据挖掘
- 作者：Vidya Kumari K.R;Kavitha C.R.
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Twitter;
- Facebook;
- Biomedical monitoring;
- Information technology;
- Authentication;
- Batteries;
10.Face Recognition: Multi-features Extraction with Parallel Computation for Big Data

机译：面部识别：多功能提取，并行计算大数据
- 作者：Shivakumar Dalali;Suresh L
- 会议名称：《International Conference on Computational Systems and Information Technology for Sustainable Solution》 | 2018年
- Face;
- Feature extraction;
- Face recognition;
- Big Data;
- Face detection;
- Training;
- Principal component analysis;