112 citations · 214 across the 6 of their papers we have counts for
6 papers
Few-Shot Ordinal Learning for Day-Wise Freshness Estimation with Hyperspectral Fish Images
Kazi Nabiul Alam, Pooneh Bagheri Zadeh, Akbar Sheikh-Akbari
Non-destructive food quality assessment has increasingly benefited from hyperspectral imaging (HSI), which captures spectral signatures linked to biochemical changes during storage…
Domain-Aware Lightweight Spectral-Grouped Convolutions for Hyperspectral Fish Freshness Classification
Kazi Nabiul Alam, Pooneh Bagheri Zadeh, Akbar Sheikh-Akbari
Hyperspectral imaging (HSI) offers nondestructive assessment of fish freshness by detecting biochemical alterations across spectral bands. However, conventional deep learning appro…
IoT-Based Water Quality Assessment System for Industrial Waste WaterHealthcare Perspective
Abdur Rab Dhruba, Kazi Nabiul Alam, Md. Shakib Khan +5
The environment, especially water, gets polluted due to industrialization and urbanization. Pollution due to industrialization and urbanization has harmful effects on both the envi…
Knowledge Distillation approach towards Melanoma Detection
Md. Shakib Khan, Kazi Nabiul Alam, Abdur Rab Dhruba +2
Melanoma is regarded as the most threatening among all skin cancers. There is a pressing need to build systems which can aid in the early detection of melanoma and enable timely tr…
Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data
Kazi Nabiul Alam, Md Shakib Khan, Abdur Rab Dhruba +4
This COVID-19 pandemic is so dreadful that it leads to severe anxiety, phobias, and complicated feelings or emotions. Even after vaccination against Coronavirus has been initiated,…
Development of an IoT-Based Sleep Apnea Monitoring System for Healthcare Applications
Abdur Rab Dhruba, Kazi Nabiul Alam, Md Shakib Khan +2
Sleep is an essential and vital element of a person life and health that helps to refresh and recharge the mind and body of a person. The quality of sleep is very important in ever…