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ORCIDDSMLAI 2021: Windhoek, Namibia
- Dharm Singh Jat, Colin Stanley, José G. Quenum, Nilanjan Dey, Arpit Jain:
DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9 - 12, 2021. ACM 2021, ISBN 978-1-4503-8763-7 - Amit Kumar Mishra:
Application Specific Instrumentation (ASIN): A Bio-inspired Paradigm to Instrumentation by fusing sensors and AI (SensAI). 1-6 - Samah Ali Alazani, C. Namrata Mahender:
Rule Based Question Generation for Arabic Text: Question Answering System. 7-12 - Matheus Tangeni Shikomba, Nalina Suresh, Valerianus Hashiyana, Johanna Nelulu, William Sverdlik:
Correlation of Sentiment Analysis between Tweets and Newspaper Headlines Using NLP. 13-19 - Geeta Rani, Akruti Sinha
, Mahin Anup, Vijaypal Singh Dhaka:
Deep Learning-Based Tool for Automatic Feature Marking, Cropping, Visualization, and Classification of Chest Radiographs. 20-25 - Shweta Patidar, Meenakshi Tripathi, Subham Kumar Gupta:
Leveraging LSTM-RNN combined with SVM for Network Intrusion Detection. 26-31 - Akshay Kshirsagar, Ratnadeep R. Deshmukh, Rohit Gupta:
The Machine learning Technique used in a Study of Water Quality & Water Level estimation Using Remote Sensing & GIS: A Review. 32-36 - Arpit Jain, Dharm Singh Jat:
Implementation of Blockchain Enabled Healthcare System using Hyperledger Fabric. 37-47 - Toivo Herman Kamati, Dharm Singh Jat:
Honeypot Behaviour Patterns Learning for Mass Email Marketing Detection. 48-52 - Herman Kandjimi, Abhinav Srivastava, Hippolyte N. Muyingi:
Attendance System with Emotion Detection: A case study with CNN and OpenCV. 53-56 - Daniel Tesfay, Basant Tiwari, Ma'ereg Jemberu Teka, Vivek Tiwari:
An Intrusion Prevention System embedded AODV to protect Mobile Adhoc Network against Sybil Attack. 57-64 - Nalina Suresh, Nkandu Mukabe, Valerianus Hashiyana, Anton Limbo, Aina Hauwanga:
Career Counseling Chatbot on Facebook Messenger using AI. 65-73 - Julius Silaa, Hippolyte N. Muyingi, Attlee M. Gamundani:
A Review of Deep Learning IDS for DDoS Attacks in WLANs. 74-79 - Vivek Tiwari, Krutika Bapat, Kushashwa R. Shrimali, Saurabh K. Singh, Basant Tiwari, Swati Jain, Hemant Kumar Sharma:
Automatic Generation of Chest X-Ray Medical Imaging Reports using LSTM-CNN. 80-85 - Chisulo Mukabe, Nalina Suresh, Valerianus Hashiyana, Titus Haiduwa, William Sverdlik:
Object Detection and Classification Using Machine Learning Techniques: A Comparison of Haar Cascades and Neural Networks. 86-97 - Ajai Mishra, Dharm Singh Jat, Durgesh Kumar Mishra:
Machine Intelligence for Predicting New Start-ups Success: A Survey. 99-105 - Vijay Nunia, Ramesh Chandra Poonia:
A Review and Comparative Study on Surface Vehicle Path Planning Algorithm. 106-109 - Gaurav Meena, Babita Dhanwal, Mehul Mahrishi, Kamal Kant Hiran:
Performance Comparison of Network Intrusion Detection System Based on Different Pre-processing Methods and Deep Neural Network. 110-115 - Kalpana Khandale, C. Namrata Mahender:
Resolving Anaphora using Gender and Number Agreement in Marathi text. 116-123 - Venkata Kranthi B, Surekha Borra:
Real-Time Face Detection and Recognition on Raspberry Pi using LBP and Deep Learning. 124-129 - Hitesh Bheda, Chirag S. Thaker, Sanjay M. Shah:
An Optimized VM Placement Approach to Reduce Energy Consumption in Green Cloud Computing. 130-135 - Seema R. Chaudhary, Sangeeta N. Kakarwal, Chitra M. Gaikwad:
Feature Selection: Filter Methods for Classification of Indian Musical Instruments. 136-139 - Md Alimul Haque, Deepa Sonal, Shameemul Haque, Kailash Kumar, Moidur Rahman:
The Role of Internet of Things (IoT) to Fight against Covid-19. 140-146 - Nitesh Pradhan, Vijaypal Singh Dhaka, Shivam Thakur, Suman Bhakar:
Deep Learning Technique for Image Colorization. 147-152 - Nidhi Kundu, Geeta Rani, Vijaypal Singh Dhaka:
Seeds Classification and Quality Testing Using Deep Learning and YOLO v5. 153-160 - Muskan Garg, Mukesh Kumar, Amit Kumar Gupta, Dinesh Goyal:
Keyphrase Extraction using Markov Decision Process from Social Media Data. 162-166 - Sparsh Kotriwal, Nitesh Pradhan, Vijaypal Singh Dhaka:
Handwritten Character Recognition using Deep Neural Networks. 167-170 - Rashmi Kumaria Nitwane, Vaishali Dattaray Bhagile, Ratnadeep R. Deshmukh:
Use of Regression Models in the Analysis of Climatic Variables: A Case Study over the Aurangabad Region of Marathwada (Maharashtra, India). 171-177 - Archana Patnaik, Neelamadhab Padhy:
Does Code Complexity Affect the Quality of Real-Time Projects?: Detection of Code Smell on Software Projects using Machine Learning Algorithms. 178-185 - Amritpal Kaur, Sarbjeet Singh:
A Survey of Streaming Protocols for Video Transmission. 186-191 - Ankur Goyal, Kailash Kumar:
Analysis of Various Diabetic Prediction Methods of Machine Learning. 192-196 - G. Ayyappan, K. Thilagavathy:
Machine learning analysis of queues with MAP, Reneging, Phase Type services, vacations and repairs. 197-208 - Jayaraj Ramasamy, Ruchi Doshi, Kamal Kant Hiran:
Segmentation of Brain Tumor using Deep Learning Methods: A Review. 209-215 - Debasmita Ghosh Roy, Soumi Majumder, P. A. Alvi:
Data Analytics for Quality-of-Life Monitoring and Control in the Era of Covid-19 Pandemic. 216-221 - Abdulla A. Omeer, Ratnadeep R. Deshmukh:
Deep Learning-Based Models for Classification of Invasive Plant Species from Hyperspectral Remotely Sensed Data. 222-230 - Apoorva Parashar, Rahul Rishi:
Early Detection of Rheumatoid Arthritis in Knee using Deep Learning. 231-236 - Nabanita Das, Neelamadhab Padhy:
A Bibliometric and Co-occurrence Analysis of Speech Processing Literature Published from the Year 2015 to mid of June 2021. 237-243 - Meet Ganpatlal Oza, Geeta Rani, Vijaypal Singh Dhaka, Heta Patel:
Deep Learning Driven System to Analyze Reliability of COVID Infodemic and News Articles. 244-252 - Upasana Pandey, Geeta Rani, Vijaypal Singh Dhaka:
Applying GA-SVM for Optimizing Statistical and Semantic Features in Document Classification. 253-260 - Ranjana W. Gore, Abhilasha D. Mishra, Ratnadeep R. Deshmukh:
Hyperspectral Image Classification using Machine Learning. 261-265 - Priti Rumao, Mamta Padole:
Alzheimer's Disease: Symptoms, Causes and Computer Science Applications as Help Guides. 266-271 - Venkata Praveen Krishna Anne, Roshan Chandra Ayyadevara, Dinakar Potta, Nikhitha Ankem:
Storing and Securing the Digital Evidence in the Process of Digital Forensics through Blockchain Technology. 272-276 - Ashok Kumar Saini, Roheet Bhatnagar, Devesh Kumar Srivastava:
Citrus Fruits Diseases Detection and Classification Using Transfer Learning. 277-283 - Namratha S. Khasnis, Snigdha Sen, Shubhangi S. Khasnis:
A Machine Learning Approach for Sentiment Analysis to Nurture Mental Health Amidst COVID-19. 284-289 - Ravleen Singh, Ganpat Joshi, Paras Kothari:
A Comparative Analysis with the Hybrid Algorithm Approach for Sentimental Analysis through Machine Learning. 290-295 - Amit Kumar Gupta, Priya Mathur, Carlos M. Travieso-González, Muskan Garg, Dinesh Goyal:
ORR: Optimized Round Robin CPU Scheduling Algorithm. 296-304 - Omkar Singh, Mano Yadav, Preeti Yadav, Vinay Rishiwal, Dharm Singh Jat, Preeti Thakur:
QoS-Attentive Learning-based Routing for Scalable WSNs. 305-310 - Ravindra Kumar Singh Rajput, Rashid Hussain, Dinesh Goyal:
Modelling and Simulation of Cloud Service Cost Analysis using Resource Scheduling. 311-316 - Nalina Suresh, Valerianus Hashiyana, Gabriel Tuhafeni Nhinda, Ismael Stephanus, Paulus Kautwima:
Graduates' Prediction System Using Artificial Intelligence. 317-327 - Biponjot Kaur, Sarbjeet Singh:
Object Detection using Deep Learning: A Review. 328-334 - Dharm Singh Jat, Colin Stanley, Anicia Peters, Kétévi Adiklè Assamagan, Ghita Rahal, Happy M. Sithole, Gaurav Bajpai:
Technical Note on Computing and Fourth Industrial Revolution (C&4IR): Shaping the Future. 335-340
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