4 papers
Are Time-Series Foundation Models Ready for E-Nose Data? An Empirical Assessment of Their Embeddings
Taeyeong Choi, Mohammed Kamruzzaman
Inspired by advances in natural language processing and computer vision, "time-series foundation models" (TSFMs) have recently been introduced with the promise of strong generaliza…
Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications
Md. Toukir Ahmed, Arthur Villordon, Mohammed Kamruzzaman
Hyperspectral imaging (HSI) has become a key technology for non-invasive quality evaluation in various fields, offering detailed insights through spatial and spectral data. Despite…
Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry
Md. Toukir Ahmed, Md Wadud Ahmed, Ocean Monjur +3
As the demand for food surges and the agricultural sector undergoes a transformative shift towards sustainability and efficiency, the need for precise and proactive measures to ens…
Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product
Md. Toukir Ahmed, Ocean Monjur, Mohammed Kamruzzaman
Hyperspectral imaging (HSI) has recently emerged as a promising tool for many agricultural applications; however, the technology cannot be directly used in a real-time system due t…