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ORCIDICACDS 2020: Valletta, Malta
- Mayank Singh
, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer I. Ören, Gianluca Valentino:
Advances in Computing and Data Sciences - 4th International Conference, ICACDS 2020, Valletta, Malta, April 24-25, 2020, Revised Selected Papers. Communications in Computer and Information Science 1244, Springer 2020, ISBN 978-981-15-6633-2
Advanced Computing
- Chitransh Bose, Siddheshwar Pathak, Ritik Agarwal, Vikas Tripathi, Ketan Joshi:
A Computer Vision Based Approach for the Analysis of Acuteness of Garbage. 3-11 - Malik Mustafa, Sharf Alzubi, Marwan Alshar'e:
The Moderating Effect of Demographic Factors Acceptance Virtual Reality Learning in Developing Countries in the Middle East. 12-23 - Kristian Dokic, Tomislav Mesic, Marko Martinovic:
Table Tennis Forehand and Backhand Stroke Recognition Based on Neural Network. 24-35 - Tejasvi Ghanshala, Vikas Tripathi, Bhaskar Pant:
An Effective Vision Based Framework for the Identification of Tuberculosis in Chest X-Ray Images. 36-45 - Nisha P. Shetty, Tushar Garg:
User Assisted Clustering Based Key Frame Extraction. 46-55 - Kumari Deepika, Santosh Chowhan:
A Threat Towards the Neonatal Mortality. 56-65 - Shubham Gupta, Sneha Chokshi:
Digital Marketing Effectiveness Using Incrementality. 66-75 - Leeanne Lindsay, Sonya Coleman, Dermot Kerr, Brian Taylor, Anne Moorhead:
Explainable Artificial Intelligence for Falls Prediction. 76-84 - Mahesh R. Dube:
Enhanced UML Use Case Meta-model Semantics from Cognitive and Utility Perspectives. 85-95 - Mervat Medhat Youssef, Sheren Ali Mousa, Mohamed Osman Baloola, Basma Mortada Fouda:
The Impact of Mobile Augmented Reality Design Implementation on User Engagement. 96-106 - Abhirup Khanna, Anushree Sah, Tanupriya Choudhury:
Intelligent Mobile Edge Computing: A Deep Learning Based Approach. 107-116 - M. Ambigavathi, D. Sridharan:
Analysis of Clustering Algorithms in Machine Learning for Healthcare Data. 117-128 - Pradeep Kumar, Niraj Singhal, K. M. Chaitra:
Securing Mobile Agents Migration Using Tree Parity Machine with New Tiny Encryption Algorithm. 129-138 - Deveshi Thanawala, Aditya Sarin, Priyanka Verma:
An Approach to Waste Segregation and Management Using Convolutional Neural Networks. 139-150 - Shiva Tiwari, Ravi Verma, Janvi Jaiswal, Bipin Kumar Rai:
Open Source Intelligence Initiating Efficient Investigation and Reliable Web Searching. 151-163 - Bhanu Verma, Sonam Gupta, Lipika Goel:
A Neural Network Based Hybrid Model for Depression Detection in Twitter. 164-175 - Apurba Ghosh, Anindya Ghosh, Arif Ahmed, Md. Salah Uddin, Mizanur Rahman, Md. Samaun Hasan, Jia Uddin:
Unleashing the VEP Triplet Count of Virtually Created 3D Bangla Alphabet to Integrate with Augmented Reality Application. 176-186 - Prerana Rai, Shishir Kumar, Dinesh Kumar Verma:
A Hybrid Machine Learning Framework for Prediction of Software Effort at the Initial Phase of Software Development. 187-200 - Jyoti Mishra, Sandhya Tarar:
Chronic Disease Prediction Using Deep Learning. 201-211 - Kunj Bihari Meena, Vipin Tyagi:
A Deep Learning Based Method to Discriminate Between Photorealistic Computer Generated Images and Photographic Images. 212-223 - Saurabh Singhal, Ashish Sharma:
Load Balancing Algorithm in Cloud Computing Using Mutation Based PSO Algorithm. 224-233 - Medha Wyawahare, Pooja Kulkarni, Abha Dixit, Pradyumna Marathe:
Statistical Model for Qualitative Grading of Milled Rice. 234-246 - Syeda Sumbul Hossain, Yeasir Arafat, Md. Ekram Hossain, Md. Shohel Arman, Anik Islam:
Measuring the Effectiveness of Software Code Review Comments. 247-257 - Padma Mishra, Anup Girdhar:
Proposed Model for Feature Extraction for Vehicle Detection. 258-271 - Chirag Joshi, Vishal Bharti, Ranjeet Kumar Ranjan:
Analysis of Feature Selection Methods for P2P Botnet Detection. 272-282 - Pushkar Kishore, Swadhin Kumar Barisal, Alle Giridhar Reddy, Durga Prasad Mohapatra:
ELM-MVD: An Extreme Learning Machine Trained Model for Malware Variants Detection. 283-292 - Arvind Jaiswal, Sandhya Tarar:
Real-Time Biometric System for Security and Surveillance Using Face Recognition. 293-304 - S. Dilli Babu, Rajendra Pamula:
An Effective Block-Chain Based Authentication Technique for Cloud Based IoT. 305-319 - Kaushik Vakadkar, Diya Purkayastha, Deepa Krishnan:
Early Detection of Autism Spectrum Disorder in Children Using Supervised Machine Learning. 320-329 - Mizanur Rahman, Md. Salah Uddin, Md. Samaun Hasan, Apurba Ghosh, Sadia Afrin Boby, Arif Ahmed, Shah Muhammad Sadiur Rahman, Shaikh Muhammad Allayear:
Anatomical Analysis Between Two Languages Alphabets: Visually Typographic Test Transformation in Morphological Approaches. 330-339 - Ravindra Patil, Leonard Wee, Andre Dekker:
Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network. 340-351 - B. Bharathidasan, G. Thirugnanam:
Multiwavelet Based Unmanned Aerial Vehicle Thermal Image Fusion for Surveillance and Target Location. 352-361 - Samuel Sciberras, Joseph G. Vella:
Investigating Movement Detection in Unedited Camera Footage. 362-371 - Ruchi Verma, Joshita Sharma, Shagun Jindal:
Time Series Forecasting Using Machine Learning. 372-381 - Tanvi Gautam, Amita Dev:
Improving Packet Queues Using Selective Epidemic Routing Protocol in Opportunistic Networks (SERPO). 382-394 - Sarthak Vinayaka, P. K. Gupta:
Heart Disease Prediction System Using Classification Algorithms. 395-404
Data Sciences
- Jinhua Chen, Qingyu Song, Can Zhao, Zhiheng Li:
Graph Database and Relational Database Performance Comparison on a Transportation Network. 407-418 - Shubham Gupta, Anshuman Gupta, Parth Savjani, Rahul Kumar:
Optimizing Creative Allocations in Digital Marketing. 419-429 - Sarika Sharma:
Big Data Analytics for Customer Relationship Management: A Systematic Review and Research Agenda. 430-438 - Medha Wyawahare, Pranesh Kulkarni, Aditya Kulkarni, Ankit Lad, Jayant Majji, Aayush Mehta:
Agricultural Field Analysis Using Satellite Surface Reflectance Data and Machine Learning Technique. 439-448 - Ivaylo Atanasov, Evelina Pencheva, Ivaylo Asenov, Ventsislav G. Trifonov:
Sponsored Data Connectivity at the Network Edge. 449-462 - Manish Pathak, Ujwala Musku:
Dynamic Bidding with Contextual Bid Decision Trees in Digital Advertisement. 463-473 - Gábor Korösi, Richárd Farkas:
MOOC Performance Prediction by Deep Learning from Raw Clickstream Data. 474-485 - Premanand Pralhad Ghadekar, Anant Dhok, Anuj Khandelwal, Ayush Tejwani, Sonica Kulkarni, Srivallabh Mangrulkar:
UDHR - Unified Decentralized Health Repository. 486-495 - Justin Borg, Joseph G. Vella:
Mining Massive Time Series Data: With Dimensionality Reduction Techniques. 496-506 - Abhishek Kumar, Pardeep Kumar, Ashutosh Srivastava, Visvam Devadoss Ambeth Kumar, K. Vengatesan, Achintya Singhal:
Comparative Analysis of Data Mining Techniques to Predict Heart Disease for Diabetic Patients. 507-518
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