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crossrefScientific Reports2026-05-18

An explainable AI framework integrating machine and deep learning models for multi-species DNA functional group classification

Pratik Chakraborty, P. B. Shanthi

Abstract DNA functional group classification across species plays a crucial role in understanding genetic diversity, evolutionary relationships and biological function. The increasing availability of genomic data has led to the use of machine learning and deep learning methods fo…

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crossrefScientific Reports2026-06-15

Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition

Pouya Bohlol, Mohammad Hasan Sabet Dizavandi, Syed Saeid Mohtasebi, Mahmoud Omid

Abstract The fusion multi-sensory system with optimized deep learning and machine learning algorithms appeared to synergize difficult paradigms in precision agriculture and boost recognition of various plant species. In this study, an electronic nose (E-nose) system with eight MO…

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openalexScientific Reports2026-07-26

Automated assessment of the ulcerative colitis endoscopic index of severity using a multi-task deep learning model

Bing Lv, Qiang Zheng, Xinxin Li, Tao Tao, Jianmin Wu, Yanting Shi

Assessment of the Ulcerative Colitis Endoscopic Index of Severity (UCEIS) is limited by subjectivity and interobserver variability. We developed UC-MTLNet, a multi-task deep learning model to predict UCEIS descriptors, total score, endoscopic remission, and severity strata. This…

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openalexScientific Reports2026-07-23

A hybrid explainable deep learning framework for blood cancer classification using CNN-based feature embeddings and random forest decision models

Zulfikar Ali Ansari, Hemlata Pant, Nayancy, M. N. V. Kiranbabu, Sanjeet Kumar

The precision and early detection of subtypes of acute lymphoblastic leukaemia (ALL) in peripheral blood smear images are crucial for efficient clinical practice. Traditional deep learning methods tend to be challenging in terms of model interpretation and are often reliant on la…

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openalexScientific Reports2026-07-24

EEG-based automated evaluation of automotive sound quality using ensemble deep learning

Liping Xie, Min Fang, Zhien Liu, Y Z Zhu

Abstract The evaluation of automotive sound quality is of considerable significance for improving driving comfort. However, existing methodologies suffer from notable limitations, including inconsistencies in subjective evaluations and weak correlations between objective metrics…

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openalexScientific Reports2026-07-23

Bilingual emotion recognition of social media texts using deep learning approach

Melkam Enyew Gashaw, Abebaw Alem, Anduamlak Abebe Fenta

On social media platforms, users share their thoughts and opinions through comments in multiple languages, including English and Amharic, resulting in vast amounts of data. Accurately interpreting and understanding these comments has important practical implications, with potenti…

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