Anik Das

According to our database, Anik Das authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Utilizing the Twitter social media to identify transportation-related grievances in Indian cities.

Rahul Pullanikkat, Soham Poddar, Anik Das, Tushar Jaiswal, Vivek Kumar Singh, Moumita Basu, Saptarshi Ghosh

Soc. Netw. Anal. Min., December, 2024

Smartphone apps for child sexual abuse education: gaps and design considerations.

Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir, Sumaiya Amin, Anik Das

Int. J. Mob. Learn. Organisation, 2024

Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights.

Anik Das, Kauê T. N. Duarte, Catherine Lebel, Mariana Pinheiro Bento

Frontiers Comput. Neurosci., 2024

COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions.

Mahathir Mohammad Bishal, Md. Rakibul Hassan Chowdory, Anik Das, Muhammad Ashad Kabir

CoRR, 2024

Exploring BERT-Based Classification Models for Detecting Phobia Subtypes: A Novel Tweet Dataset and Comparative Analysis.

Anik Das, Milton King, James Alexander Hughes

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Federated learning based Covid-19 detection.

Deepraj Chowdhury, Soham Banerjee, Madhushree Sannigrahi, Arka Chakraborty, Anik Das, Ajoy Dey, Ashutosh Dhar Dwivedi

Expert Syst. J. Knowl. Eng., June, 2023

Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging.

Anik Das, Kauê T. N. Duarte, Shannon Wong, Youssef Mamoun, Mariana Pinheiro Bento

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

2022

Applications of machine learning for COVID-19 misinformation: a systematic review.

A. R. Sanaullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu

Soc. Netw. Anal. Min., 2022

ABCanDroid: A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning.

Deepraj Chowdhury, Anik Das, Ajoy Dey, Shreya Sarkar, Ashutosh Dhar Dwivedi, Raghava Rao Mukkamala, Lakhindar Murmu

Sensors, 2022

Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps.

Sabiha Samad, Fahmida Ahmed, Samsun Naher, Muhammad Ashad Kabir, Anik Das, Sumaiya Amin, Sheikh Mohammed Shariful Islam

Intell. Syst. Appl., 2022

'ShishuShurokkha': A Transformative Justice Approach for Combating Child Sexual Abuse in Bangladesh.

Sharifa Sultana, Sadia Tasnuva Pritha, Rahnuma Tasnim, Anik Das, Rokeya Akter, Shaid Hasan, S. M. Raihanul Alam, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Leveraging Sensor Fusion and Sensor-Body Position for Activity Recognition for Wearable Mobile Technologies.

Ashraful Alam, Anik Das, Md Shahriar Tasjid, Ahmed Al Marouf

Int. J. Interact. Mob. Technol., September, 2021

Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features.

Md Nasim Khan, Anik Das, Mohamed M. Ahmed, Shaun S. Wulff

J. Intell. Transp. Syst., 2021

FoodCalorie: A Mobile Game to Learn Daily Calorie Intake Standard.

Anik Das, Sumaiya Amin, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam

Int. J. Game Based Learn., 2021

A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues.

A. R. Sana Ullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu

CoRR, 2021

A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines.

Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir, Sumaiya Amin, Anik Das

CoRR, 2021

BenAV: a Bengali Audio-Visual Corpus for Visual Speech Recognition.

Ashish Pondit, Muhammad Eshaque Ali Rukon, Anik Das, Muhammad Ashad Kabir

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Automatic Detection of Necrotizing Fasciitis: A Dataset and Early Results.

Anik Das, Sumaiya Amin, James Alexander Hughes

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021