IEEE BIGDATA TOPICS 2016 --FINAL YEAR IEEE COMPUTER SCIENCE PROJECTS
Автор: Tsys Globalsolutions
Загружено: 2016-06-16
Просмотров: 1164
Описание:
TSYS Center for Research and Development (TCRD) is a premier center for academic and industrial research needs. We at TRCD provide complete support for final year Post graduate Student (M.E / M.Tech / M. Sc/ MCA/ M-phil) who are doing course in computer science and Information technology to do their final year project and journal work.
FINAL YEAR IEEE COMPUTER SCIENCE PROJECTS
For Latest IEEE BIG DATA Projects
Contact: TSYS Center for Research and Development (TSYS Academic Projects)
Ph.No: 9841103123 / 044-42607879, Visit us: http://www.tsys.co.in/
Email: [email protected]
IEEE TRANSACTION ON BIGDATA 2016 TOPICS
1. K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis (2016)
2. Frame Interpolation for Cloud-Based Mobile Video Streaming (2016)
3. USTF: A Unified System of Team Formation (2016)
4. Online Censoring for Large-Scale Regressions with Application to Streaming Big Data (2016)
5. Personalized Travel Sequence Recommendation on Multi-Source Big Social Media (2016)
6. An MM-Based Algorithm for -Regularized Least-Squares Estimation With an Application to Ground Penetrating Radar Image Reconstruction (2016)
7. A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification (2016)
8. A Knowledge-based Framework for Power Flow and Optimal Power Flow Analyses (2016)
9. A Dynamical and Load-Balanced Flow Scheduling Approach for Big Data Centers in Clouds (2016)
10. A Note on the Unification of Adaptive Online Learning (2016)
11. Automatic Road Crack Detection Using Random Structured Forests (2016)
12. An Affine Arithmetic-based Framework for Uncertain Power Flow and Optimal Power Flow Studies (2016)
13. Reproducibility in Computational Neuroscience Models and Simulations (2016)
14. Service Rating Prediction by Exploring Social Mobile Users’ Geographic Locations (2016)
15. Adaptive Replication Management in HDFS Based on Supervised Learning (2016)
16. NGD: Filtering Graphs for Visual Analysis (2016)
17. Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework (2016)
18. A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Machine Vision-Based Event Detection and Summarization in Real-world Ambient Assisted Living (2016)
19. Feature Selection with Annealing for Computer Vision and Big Data Learning (2016)
20. K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis(2016)
21. Visual Analysis of Cloud Computing Performance Using Behavioral Lines (2016)
22. Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Tree (2016)
23. Active CTDaaS: A Data Service Framework Based on Transparent IoD in City Traffic (2016)
24. Measurement of Distinguishing Features of Stable Cognitive and Physical Health Older Drivers (2016)
25. Making Trillion Correlations Feasible in Feature Grouping and Selection (2016)
26. Feedback Autonomic Provisioning for Guaranteeing Performance in MapReduce Systems (2016)
27. A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud (2016)
28. Computing Affine Equivalence Classes of Boolean Functions by Group Isomorphism (2016)
29. Multimodal Personality Recognition in Collaborative Goal-Oriented Tasks (2016)
30. Interactive Visualization of Large Data Sets (2016)
31. Energy Big Data Analytics and Security: Challenges and Opportunities (2016)
32. A Mobility Analytical Framework for Big Mobile Data in Densely Populated Area (2016)
33. Learning from Weak and Noisy Labels for Semantic Segmentation (2016)
34. Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments (2016)
35. A recommendation system based on hierarchical clustering of an article-level citation network (2016)
36. Compressed Sensing-Based Clone Identification in Sensor Networks (2016)
37. Spin-Triplet Superconducting Current in Metal–Oxide Heterostructures With Composite Ferromagnetic Interlayer (2016)
38. Incremental and Decremental Max-flow for Online Semi-supervised Learning (2016)
39. Nonsmooth Penalized Clustering via ℓₚ Regularized Sparse Regression (2016)
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: