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ORCIDMIET 2022: Noakhali, Bangladesh
- Md. Shahriare Satu
, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin:
Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 490, Springer 2023, ISBN 978-3-031-34618-7
Imaging for Disease Detection
- Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Aka Das, Md. Ashikur Rahman, Masud Rabbani:
Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach. 3-14 - Nahid Hasan, Tanzila Hasan, Shahadat Hossain, Md. Manzurul Hasan:
False Smut Disease Detection in Paddy Using Convolutional Neural Network. 15-21 - Sarna Majumder, Badhan Mazumder, S. M. Taohidul Islam:
Gabor Wavelet Based Fused Texture Features for Identification of Mungbean Leaf Diseases. 22-34 - Jannathul Maowa Hasi, Mohammad Osiur Rahman:
Potato Disease Detection Using Convolutional Neural Network: A Web Based Solution. 35-48 - Rabindra Nath Nandi, Aminul Haque Palash, Nazmul H. Siddique, Mohammed Golam Zilani:
Device-Friendly Guava Fruit and Leaf Disease Detection Using Deep Learning. 49-59 - Adit Ishraq, Sayefa Arafah, Sadiya Akter Mim, Nusrat Jahan Shammey, Muhammad Firoz Mridha, Md. Saifur Rahman:
Cassava Leaf Disease Classification Using Supervised Contrastive Learning. 60-71 - Md Ifraham Iqbal, Ahmed Shabab Noor, Ahmed Rafi Hasan:
Diabetes Mellitus Prediction Using Transfer Learning. 72-83 - Md. Maidul Islam, Tanzina Nasrin Tania, Sharmin Akter, Kazi Hassan Shakib:
An Improved Heart Disease Prediction Using Stacked Ensemble Method. 84-97 - Nusrat Alam, Samiul Alam, Farzana Tasnim, Sanjida Sharmin:
Improved and Intelligent Heart Disease Prediction System Using Machine Learning Algorithm. 98-108 - Md. Rajib Mia, Md. Ashikur Rahman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud:
PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors. 109-121 - Sharmeen Jahan Seema, Mosabber Uddin Ahmed:
A Reliable and Efficient Transfer Learning Approach for Identifying COVID-19 Pneumonia from Chest X-ray. 122-136 - Tareque Bashar Ovi, Md. Jawad-Ul Kabir Chowdhury, Shaira Senjuti Oyshee, Mubdiul Islam Rizu:
Infection Segmentation from COVID-19 Chest CT Scans with Dilated CBAM U-Net. 137-151 - Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman, Sheikh Mohammed Shariful Islam, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni:
Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images. 152-166 - Debashis Gupta, Syed Rahat Hassan, Renu Gupta, Urmi Saha, Mohammed Sowket Ali:
Classification of Tumor Cell Using a Naive Convolutional Neural Network Model. 167-176 - Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Sabina Yesmin, Md. Jueal Mia:
Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images. 177-186 - Nasim Ahmed Roni, Md. Shazzad Hossain, Musarrat Bintay Hossain, Md. Iftekharul Alam Efat, Mohammad Abu Yousuf:
Deep Convolutional Comparison Architecture for Breast Cancer Binary Classification. 187-200 - Rahul Deb Mohalder, Khandkar Asif Hossain, Juliet Polok Sarkar, Laboni Paul, M. Raihan, Kamrul Hasan Talukder:
Lung Cancer Detection from Histopathological Images Using Deep Learning. 201-212 - Mosaddeq Hossain, Md. Abdur Rahman:
Brain Tumor Detection Using Deep Network EfficientNet-B0. 213-225 - Tania Ferdousey Promy, Nadia Islam Joya, Tasfia Haque Turna, Zinia Nawrin Sukhi, Faisal Bin Ashraf, Jia Uddin:
Cancer Diseases Diagnosis Using Deep Transfer Learning Architectures. 226-237 - Sourav Barman, Md Raju Biswas, Sultana Marjan, Nazmun Nahar, Mohammad Shahadat Hossain, Karl Andersson:
Transfer Learning Based Skin Cancer Classification Using GoogLeNet. 238-252 - Prosenjit Karmaker, Muhammad Sajjadur Rahim:
Assessing the Risks of COVID-19 on the Health Conditions of Alzheimer's Patients Using Machine Learning Techniques. 253-266 - Md. Sakib Ahmed, Sajib Hossain, Md. Nazmul Haque, M. M. Mahbubul Syeed, D. M. Saaduzzaman, Md Hasan Maruf, A. S. M. Shihavuddin:
MRI Based Automated Detection of Brain Tumor Using DWT, GLCM, PCA, Ensemble of SVM and PNN in Sequence. 267-279
Pattern Recognition and Natural Language Processing
- Ferdib-Al-Islam, Nusrat Jahan, Farjana Yeasmin Rupa, Suprio Sarkar, Sifat Hossain, Sk. Shalauddin Kabir:
Performance Analysis of ASUS Tinker and MobileNetV2 in Face Mask Detection on Different Datasets. 283-293 - Shuva Sen, Mohammad Intisarul Islam, Samiha Sofrana Azim, Muhammad Iqbal Hossain:
Fake Profile Detection Using Image Processing and Machine Learning. 294-308 - Most. Maria Akter Misti, Sajal Mondal, Md. Anwarul Islam Abir, Md Zahidul Islam:
A Novel Texture Descriptor Evaluation Window Based Adjacent Distance Local Binary Pattern (EADLBP) for Image Classification. 309-317 - Jannatul Naim, Md. Bipul Hossain, Apurba Adhikary:
Bornomala: A Deep Learning-Based Bangla Image Captioning Technique. 318-330 - Umma Saima Rahman, Maruf:
Traffic Sign Detection and Recognition Using Deep Learning Approach. 331-343 - Ovishake Sen, Pias Roy, Al-Mahmud:
A Novel Bangla Spoken Numerals Recognition System Using Convolutional Neural Network. 344-357 - Rahad Khan, Saddam Hossain, Akbor Hossain, Fazlul Hasan Siddiqui, Sabah Binte Noor:
Bangla Speech-Based Person Identification Using LSTM Networks. 358-370 - Subrata Saha, Md. Imran Hossain Showrov, Md. Motinur Rahman, Md. Ziaul Hasan Majumder:
VADER vs. BERT: A Comparative Performance Analysis for Sentiment on Coronavirus Outbreak. 371-385 - Khandaker Tayef Shahriar, Md Musfique Anwar, Iqbal H. Sarker:
Aspect Based Sentiment Analysis of COVID-19 Tweets Using Blending Ensemble of Deep Learning Models. 386-400 - Abdullah Al Maruf, Md. Nur Hossain Biplob, Fahima Khanam:
Covid-19 Vaccine Sentiment Detection and Analysis Using Machine Learning Technique and NLP. 401-414 - Promila Haque, Rahatul Jannat Fariha, Israt Yousuf Nishat, Mohammed Nazim Uddin:
Sentiment Analysis of Tweets on Covid Vaccine (Pfizer): A Boosting-Based Machine Learning Solution. 415-427 - S. M. Shawal Chowdhury, Mrithika Chowdhury, Arifa Sultana:
Matching Job Circular with Resume Using Different Natural Language Processing Based Algorithms. 428-442 - Sumona Yeasmin, Nazia Afrin, Mohammad Rezwanul Huq:
Transformer-Based Text Clustering for Newspaper Articles. 443-457 - Rafiqul Islam, Mehedi Hasan, Mamunur Rashid, Rabea Khatun:
Bangla to English Translation Using Sequence to Sequence Learning Model Based Recurrent Neural Networks. 458-467 - Promita Bagchi, Mursalin Arafin, Aysha Akther, Kazi Masudul Alam:
Bangla Spelling Error Detection and Correction Using N-Gram Model. 468-482 - Md. Tasnin Tanvir, Asfia Moon Oishy, M. A. H. Akhand, Nazmul H. Siddique:
Bidirectional Long-Short Term Memory with Byte Pair Encoding and Back Translation for Bangla-English Machine Translation. 483-495 - Omar Faruque, Fazlul Hasan Siddiqui, Sabah Binte Noor:
Face Recognition-Based Mass Attendance Using YOLOv5 and ArcFace. 496-510 - Fauzia Yasmeen, Mahbuba Begum, Mohammad Shorif Uddin:
A Hybrid Watermarking Technique Based on LH-HL Subbands of DWT and SVD. 511-523 - Md. Atikur Rahman, Kazi Md. Rokibul Alam, Muhammad Sheikh Sadi:
A Smartphone Based Real-Time Object Recognition System for Visually Impaired People. 524-538 - Md. Riadul Islam, M. A. H. Akhand, Md. Abdus Samad Kamal:
Bangla Speech Emotion Recognition Using 3D CNN Bi-LSTM Model. 539-550 - Asif Mahmud, Md. Nazmul Hasan Rony, Deba Dip Bhowmik, Ratnadip Kuri, A. R. M. Mahmudul Hasan Rana:
An RNN Based Approach to Predict Next Word in Bangla Language. 551-565
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