Unlocking the potential of digital pathology: Novel baselines for compression by Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Gőtz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus Maier-Hein

“…We introduce a novel evaluation metric based on feature similarity between original files and compressed files that aligns very well with the actual downstream performance on the compressed WSI. …”
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Predicting the evolution of pH and total soluble solids during coffee fermentation using near-infrared spectroscopy coupled with chemometrics by Vicente Tirado-Kulieva, Carlos Quijano-Jara, Himer Avila-George, Wilson Castro

“…These findings suggest that simple and efficient models could be performed and implemented in routine analysis due to the maximum coverage and minimum cardinality of CAFS.…”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…In addition, each model performs better in the sentiment transfer task than in the political stance transfer task. …”
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VirtualFilter: A High-Performance Multimodal 3D Object Detection Method with Semantic Filtering by Mingcheng Qu, Ganlin Deng

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Meta learner-based optimization for antenna efficiency prediction and high-performance THz MIMO antenna applications by Md. Ashraful Haque, Md. Kawsar Ahmed, Geamel Alyami, Kamal Hossain Nahin, Md Sharif Ahammed, Akil Ahmad Taki, Narinderjit Singh Sawaran Singh, Md Afzalur Rahman, Liton Chandra Paul, Hussein Shaman

“…These results suggest that our optimized prediction model and high-performance MIMO antenna design are well-suited for advancing next-generation THz.…”
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An Adaptive Evolutionary Causal Dynamic Factor Model by Qian Wei, Heng-Guo Zhang

“…Unlike the classical nowcasting models, the AcNowcasting algorithm has the ability to perform feature selection. …”
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Estimation of soil properties using Hyperspectral imaging and Machine learning by Eirini Chlouveraki, Nikolaos Katsenios, Aspasia Efthimiadou, Erato Lazarou, Kalliopi Kounani, Eleni Papakonstantinou, Dimitrios Vlachakis, Aikaterini Kasimati, Ioannis Zafeiriou, Borja Espejo-Garcia, Spyros Fountas

“…These steps aim to mitigate redundancy and noise, enhancing the model's generalization. Results showed that Mg (R² = 0.73), total CaCO3 % (R² = 0.74), B (R² = 0.67), and Fe (R² = 0.57) could lead to promising performances with low overfitting. …”
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A high performance hybrid LSTM CNN secure architecture for IoT environments using deep learning by Priyanshu Sinha, Dinesh Sahu, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Vivek Kumar Pandey

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Research on emotion recognition using sparse EEG channels and cross-subject modeling based on CNN-KAN-[Formula: see text] model. by Fan Xiong, Mengzhao Fan, Xu Yang, Chenxiao Wang, Jinli Zhou

“…Experimental results show that the CNN-KAN-[Formula: see text] model performs comparably to multi-channel models while only using four EEG channels. …”
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Comparing 2D and 3D Feature Extraction Methods for Lung Adenocarcinoma Prediction Using CT Scans: A Cross-Cohort Study by Margarida Gouveia, Tânia Mendes, Eduardo M. Rodrigues, Hélder P. Oliveira, Tania Pereira

“…However, a lack of generalization capability was observed across all models, with the performances decreasing on the external test sets, a limitation that should be studied and addressed in future work.…”
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Tomato ripeness detection and fruit segmentation based on instance segmentation by Jinfan Wei, Yu Sun, Yu Sun, Lan Luo, Lingyun Ni, Mengchao Chen, Minghui You, Minghui You, Ye Mu, Ye Mu, He Gong, He Gong

“…The experimental results show that compared with the original YOLOv8s-seg model, the performance of ACP-TomatoSeg model is significantly improved. …”
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Morphological features of parietal cortex and hippocampus neuron of rats following subtotal cerebral ischemia associated with omega-3 polyunsaturated fatty acids injection by E. I. Bon, N. Ye. Maksimovich, S. M. Zimatkin

“…Acute SACI was modeled by bilateral ligation of the common carotid arteries. …”
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Investigation of the Mediating Effect of Strategic Posture on the Relationship between Environmental Conditions and Firm Performance on the Logistics Sector by Saniye Yıldırım Özmutlu, Esin Can Mutlu

“…The created research model was comprised of the three-dimension of environmental conditions developed by Dess and Beard (1984), six dimensions of strategic stance developed by Venkatraman (1989), and firm performance variables. …”
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Study on the electrocatalytic CO2 reduction performance of covalent organic framework materials based on machine learning by Zhang Xiangying, Wang Sitan

“…Six regression models were trained and evaluated with COFs structure data and experimental data as features and Faraday efficiency as output. …”
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The Performance of an ML-Based Weigh-in-Motion System in the Context of a Network Arch Bridge Structural Specificity by Dawid Piotrowski, Marcin Jasiński, Artur Nowoświat, Piotr Łaziński, Stefan Pradelok

“…The article discusses the design of the Fiber Bragg Grating (FBG) sensor-based Bridge Weigh-in-Motion (BWIM) system, specifically focusing on several supervised regression models of different architectures. The current work proposes the use of the updated FE model to generate training data and evaluate the accuracy of regression models with the possible exclusion of selected input features enabled by the structural specificity of a bridge. …”
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Competence region estimation for black-box surrogate models by Tapan Shah

“… • We investigate the performance loss as a function ofdataset attributes viz. number of features, standard de-viation, skewness. …”
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A Novel Approach to Multi-Class Crack Classification: ResNet50 Enhanced with Squeeze-and-Excitation Blocks by Mazleenda Mazni, Abdul Rashid Husain, Devi Willieam Anggara, Mohd Ibrahim Shapiai, Riyadh Zulkifli, Munirah Onn

“…This study focuses on introducing a novel multi-class crack classification framework for concrete structures by integrating Squeeze-and-Excitation (SE) blocks into the ResNet50 architecture. Unlike conventional models, which lack feature recalibration capabilities, the embedded SE block adaptively enhances channel-wise feature importance, significantly improving crack detection performance under complex conditions such as lighting variations and background noise. …”
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SDMSEAF-YOLOv8: a framework to significantly improve the detection performance of unmanned aerial vehicle images by Linxuan Li, Xiaoyu Liu, Xuan Chen, Fengjuan Yin, Bin Chen, Yufeng Wang, Fanbin Meng

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Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem by Maria Fernanda Morales Oreamuno, Sergey Oladyshkin, Wolfgang Nowak

“…Additionally, we demonstrate how both RE and IE can be used to objectively compare models that feature different data sets for calibration. …”
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Prediction of cervical cancer lymph node metastasis based on multisequence magnetic resonance imaging radiomics and deep learning features: a dual-center study by Shigang Luo, Yan Guo, Yongqing Ye, Qinglin Mu, Wenguang Huang, Guangcai Tang

“…Clinical data and imaging sequences (T1, T2, and DWI) were used to extract features for model construction. Model performance was assessed using the DeLong test, and SHAP analysis was used to examine feature contributions. …”
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