OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers by Mustafa Arikan, James Willoughby, Sevim Ongun, Ferenc Sallo, Andrea Montesel, Hend Ahmed, Ahmed Hagag, Marius Book, Henrik Faatz, Maria Vittoria Cicinelli, Amani A. Fawzi, Dominika Podkowinski, Marketa Cilkova, Diana Morais De Almeida, Moussa Zouache, Ganesham Ramsamy, Watjana Lilaonitkul, Adam M. Dubis

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A structured-illumination reflectance imaging dataset for woody breast assessment of broiler meatZenodo by Yuzhen Lu, Hamed Sardari

“…In addition to the raw pattern images, the demodulated image (DC, AC, and phase difference) data is also included in the dataset. This dataset represents the first publicly available SIRI dataset and is expected to be a valuable resource for advancing SIRI for poultry quality assessment and beyond.…”
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Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches by Yan Wang, Mohamed A. Elmeligy, Haytham F. Isleem, Asmaa Y. Hamed, Diyar N. Qader, Mohamed Sharaf, Pradeep Jangir, Arpita, Ghanshyam G. Tejani

“…Various performance metrics, data visualization techniques, SHAP analysis, sensitivity analysis, and error characteristic curves were used to evaluate the prediction performance and analyze the impact of input parameters. …”
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Enhancing Health Research with Machine Learning: Practical Case Studies Using the All of Us Researcher Workbench by Jonathan R. Holt, Stefanee Tillman, Javan Carter, Edward Preble, Sheryl C. Cates, Daniel Brannock, Michael Long, John McCarthy, Leslie Zapata Leiva, Jamboor K. Vishwanatha, Toufeeq Syed, Legand Burge, Robert T. Mallet, Shelly Kowalczyk, Jennifer D. Uhrig, Megan A. Lewis

“…Our case studies cover critical topics, such as dataset selection, data cleaning, machine learning applications, and visualization in Python, which together provide the foundation of a targeted training program. …”
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Applying the FAIR Principles to computational workflows by Sean R. Wilkinson, Meznah Aloqalaa, Khalid Belhajjame, Michael R. Crusoe, Bruno de Paula Kinoshita, Luiz Gadelha, Daniel Garijo, Ove Johan Ragnar Gustafsson, Nick Juty, Sehrish Kanwal, Farah Zaib Khan, Johannes Köster, Karsten Peters-von Gehlen, Line Pouchard, Randy K. Rannow, Stian Soiland-Reyes, Nicola Soranzo, Shoaib Sufi, Ziheng Sun, Baiba Vilne, Merridee A. Wouters, Denis Yuen, Carole Goble

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Dataset of air cargo supply chain conditions and fruit quality evolution: Case study of mango shipment from Thailand to FranceDataverse by Y. Paviet-Salomon, O. Laguerre, S. Duret, A. Denis, P. Mawilai, K. Srisawat, E. Derens-Bertheau, F.T. Ndoye, T. Pongsuttiyakorn, S. Rakmae, U.K. Pun, P. Sirisomboon, P. Pornchaloempong, N. Chaomuang

“…The ULD contained 148 boxes (14 mangoes/box) and 31 boxes were instrumented by data loggers to monitor air and mango temperatures, as well as air humidity along the shipment. …”
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Cross modality medical image synthesis for improving liver segmentation by Muhammad Rafiq, Hazrat Ali, Ghulam Mujtaba, Zubair Shah, Shoaib Azmat

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Natural language access point to digital metal–organic polyhedra chemistry in The World Avatar by Simon D. Rihm, Dan N. Tran, Aleksandar Kondinski, Laura Pascazio, Fabio Saluz, Xinhong Deng, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

“…By augmenting TWA’s MOP database with geometry data, we enable the visualization of not just empirically verified MOP structures but also machine-predicted ones. …”
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The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study by Yao Li, Siyuan Zhou, Bichen Ren, Shuai Ju, Xiaoyan Li, Wenqiang Li, Bingzhe Li, Yunmin Cai, Chunlei Chang, Lihong Huang, Zhihui Dong

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BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images by Sohaib Asif, Lingying Zhu, Dane Yan, Luman Xu, Zhengqiu Huang, Haimin Xu, Ruxuan Yan, Linghong Cai, Changfu Zheng, Jiamei Lin, Enyu Wang

“…This block improves computational efficiency and enables the model to capture both local and global features, addressing the challenges posed by complex medical imaging data. Furthermore, we extract probabilities from these models and aggregate them using fuzzy rank-based fusion strategy, utilize three non-linear functions: an exponentially decaying function $$\left( {exp} \right)$$ exp , the $$tanh$$ tanh function, and the $$sigmoid$$ sigmoid function, allowing for adaptive integration based on model confidence. …”
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Enhancing diabetic retinopathy classification accuracy through dual-attention mechanism in deep learning by Abdul Hannan, Zahid Mahmood, Rizwan Qureshi, Hazrat Ali

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CobDiffMRI: a cross-conditional diffusion model for removing artefacts in undersampled magnetic resonance imaging by Jingyu Wang, Sen Dong

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Multimodal image fusion for ich detection and classification using parallel Dl models by Sri Sangepu Nagaraju, S. Prince Mary, V. Pavani Chandra, Nandam Gayatri

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Computer vision versus wearables assessment of the up-on-the-toes 30-second test by R. Jaber, S.A. Zahid, A.L.F Rodacki, R. Qahwaji, J.G. Buckley

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ARGO: ARctic greenhouse Gas Observation metadata version 1 by J. Vogt, M. M. T. A. Pallandt, L. S. Basso, A. Bolek, K. Ivanova, M. Schlutow, G. Celis, M. Kuhn, M. Mauritz, E. A. G. Schuur, K. Arndt, A.-M. Virkkala, I. Wargowsky, M. Göckede

“…<p>Our understanding of how rapid Arctic warming and permafrost thaw affect global climate dynamics is restricted by limited spatiotemporal data coverage due to logistical challenges and the complex landscape of Arctic regions. …”
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Topic Timelines for Enabling Close and Distant Reading of Discursive Shifts. A Pilot Case Using Periodicals of European Diabetes Organizations by Ylva Söderfeldt, Andrew Burchell, Julia Reed, Maria Skeppstedt

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Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages by Koena Ronny Mabokela, Mpho Primus, Turgay Celik

“…However, due to linguistic complexities and limited data or computational resources, it is under-represented in many African languages. …”
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Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

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A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image by R. Sabitha, D. Sundar

“…The proposed system achieved high accuracy (98.69%) and demonstrated lower RMSE (0.8213) and MAE (0.6045) compared to baseline models such as Random Forest, SVM, and standard KNN.DiscussionThe proposed Adaptive VPKNN-net framework significantly improves the precision, interpretability, and efficiency of visual fashion recommendations. It eliminates the limitations of fuzzy similarity models and offers a scalable solution for visually oriented e-commerce platforms, particularly in cold-start scenarios and low-data conditions.…”
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A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers by Hariharan RamakrishnaIyer LekshmiAmmal, Anand Kumar Madasamy

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