S.NO | PROJECT CODE | TITLES |
116 | ITJDDM01 | Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting |
117 | ITJDDM02 | Robust Obstacle Detection and Recognition for Driver Assistance Systems |
118 | ITJDDM03 | A Parallel Proof of Work to Improve Transaction Speed and Scalability in Blockchain Systems |
119 | ITJDDM04 | Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams |
120 | ITJDDM05 | Computing Co-location Patterns in Spatial Data with Extended Objects: a Scalable Buffer-based Approach |
121 | ITJDDM06 | A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback |
122 | ITJDDM07 | Measures of Scatter and Fisher Discriminant Analysis for Uncertain Data |
123 | ITJDDM08 | TourSense: A Framework for Tourist Identification and Analytics Using Transport Data |
124 | ITJDDM09 | Road Edge Detection in All Weather and Illumination via Driving Video Mining |
125 | ITJDDM10 | A Fluid Mechanics-Based Data Flow Model to Estimate VANET Capacity |
126 | ITJDDM11 | The Curse of Knowledge in Visual Data Communication |
127 | ITJDDM12 | End-to-End Automatic Image Annotation Based on Deep CNN and Multi-Label Data Augmentation |
128 | ITJDDM13 | Multiview Learning for Early Prognosis of Academic Performance: A Case Study |
129 | ITJDDM14 | Serendipity—A Machine-Learning Application for Mining Serendipitous Drug Usage From Social Media |
130 | ITJDDM15 | Software Architecture for Automating Cognitive Science Eye-Tracking Data Analysis and Object Annotation |
131 | ITJDDM16 | Improving Data Analytics with Fast and Adaptive Regularization |
132 | ITJDDM17 | Survey and Analysis of Current End-user Data Analytics Tool Support |
133 | ITJDDM18 | Interactive Bike Lane Planning using Sharing Bikes’ Trajectories |
134 | ITJDDM19 | Incentive Mechanism for Multiple Cooperative Tasks with Compatible Users in Mobile Crowd Sensing via Online Communities |
135 | ITJDDM20 | T-PCCE: Twitter Personality based Communicative Communities Extraction System for Big Data |