Solving the incomplete data problem in Greco-Latin square experimental design by exact-scheme analysis of variance without data imputation by Kittiwat Sirikasemsuk, Sirilak Wongsriya, Kanogkan Leerojanaprapa

“…This comprehensive strategy not only enhances the methodological accuracy and integrity of GLSED studies but also contributes significantly to the field by offering a solution to navigate the complexities of incomplete datasets without resorting to data imputation, thus improving the rigor and validity of experimental designs in the face of missing data challenges.…”
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Bayesian inference for the parameters of the generalized logistic distribution under a combined framework of generalized type-I and type-II hybrid censoring schemes with applicatio... by Mustafa M. Hasaballah, Oluwafemi Samson Balogun, M. E. Bakr

“…The paper also includes a comprehensive analysis of real-world datasets and simulation experiments to validate the proposed methodologies. …”
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A Semantic Segmentation Method for Remote Sensing Images Based on an Improved TransDeepLab Model by Jinxin Wang, Manman Wang, Kaiwei Cong, Zilong Qin

“…Using the open-source LoveDA large remote sensing image datasets for the validation experiment, the results show that compared to the original model, the improved model’s MIOU increased by 2.68%, aACC by 3.41%, and mACC by 4.65%. …”
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Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities by Min-Su Kang, Dong-Hee Lee, Mahdi Sadeqi Bajestani, Duck Bong Kim, Sang Do Noh

“…It has gained increasing attention in various research areas and industries, including the manufacturing, aerospace, and automotive industries, while facing challenges in processing and analyzing large datasets. To address these challenges, this paper proposes an edge computing-based DT (E-DT) framework and elaborates on its functional and informational aspects. …”
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Model-Independent 3D Descriptors of Vertebral Cancellous Bone Architecture by Ian H. Parkinson, Danielle Forbes, Peter Sutton-Smith, Nicola L. Fazzalari

“…From 3D voxel-based datasets, bone volume density, trabecular thickness, and trabecular separation were measured. …”
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Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning by Ariyo Oluwasammi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, Giang Hoang Nguyen

“…First, each domain’s preliminaries and concept are described, and then semantic segmentation is discussed alongside its relevant features, available datasets, and evaluation criteria. Also, the semantic information capturing of objects and their attributes is presented in relation to their annotation generation. …”
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A generalized diffusion model for remaining useful life prediction with uncertainty by Bincheng Wen, Xin Zhao, Xilang Tang, Mingqing Xiao, Haizhen Zhu, Jianfeng Li

“…Linear and nonlinear degradation datasets from real working environments are used to validate the proposed model. …”
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STeInFormer: Spatial–Temporal Interaction Transformer Architecture for Remote Sensing Change Detection by Xiaowen Ma, Zhenkai Wu, Mengting Ma, Mengjiao Zhao, Fan Yang, Zhenhong Du, Wei Zhang

“…Experimental results on three datasets validate the effectiveness of the proposed method, which can outperform the state-of-the-art methods and achieve the most satisfactory efficiency-accuracy tradeoff.…”
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Deep Learning Based on Residual Networks for Automatic Sorting of Bananas by Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Rahib H. Abiyev, Selin Uzelaltinbulat, Bengi Sonyel

“…The design of the system is implemented by using transfer learning that uses the stored knowledge of the deep structure. Datasets of bananas have been collected for the implementation of the deep structure. …”
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Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

“…This review describes publicly available datasets that can be used with interpretable predictive approaches, natural language processing, image recognition, and reinforcement learning models, outlines result interpretation, and provides references for in-depth information about each analytical framework. …”
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Quantification of nipple size and shape among an ethnically diverse sample of US women by Peter Wildfeuer, Alexis Alban, Bob Worrell, Shilo Ben Zeev, Judith Shamian, Mike Woolridge

“…Viable data were secured from 78% of the scans undertaken, yielding 538 datasets from 329 participants. Outcome: This is the largest study undertaken with a non-clinical, ethnically diverse population of women, employing a novel scanning process and applying a novel purpose-built algorithm—with a view to characterizing the shape and size of the nipple-areola complex, by collecting normative data on nipple geometry.…”
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AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding by Xuejian Wu, Xuejian Wu, Yaqi Chu, Yaqi Chu, Qing Li, Yang Luo, Yang Luo, Yiwen Zhao, Yiwen Zhao, Xingang Zhao, Xingang Zhao

“…The experimental results demonstrated that the proposed model achieves decoding accuracies of 81.17, 89.83, and 95.49% on BCI-2a, 2b and HGD datasets. The results show that the proposed AMEEGNet effectively decodes temporal-spatial features, providing a novel perspective on MI-EEG decoding and advancing future BCI applications.…”
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Efficient multi-omics clustering with bipartite graph subspace learning for cancer subtype prediction by Shuwei Zhu, Hao Liu, Meiji Cui

“…Moreover, the survival and clinical analyses further demonstrated the effectiveness of MBSLC. The code and datasets of this paper can be found in https://github.com/Julius666/MBSLC.…”
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Real world federated learning with a knowledge distilled transformer for cardiac CT imaging by Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

“…However, real-world applications often face challenges like partially labeled datasets, where only a few locations have certain expert annotations, leaving large portions of unlabeled data unused. …”
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A Comprehensive Review of Facial Beauty Prediction Using Multi-task Learning and Facial Attributes by Ali H. Ibrahem, Adnan M. Abdulazeez

“…A comprehensive analysis of publicly available datasets reveals critical gaps in diversity, biases, and ground truth annotation for training effective models. …”
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PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement by Huidi Jia, Qiang Wang, Bo Fu, Zhimin Zheng, Yandong Tang

“…The experimental results on several datasets demonstrate that our method outperforms recent state-of-the-art underwater image enhancement methods.…”
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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

“…Our approach is validated by extensive experiment on two real-world datasets, which demonstrates the superiority of the proposed method over existing methods.…”
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A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder by Shihao Pan, Tongyuan Shen, Yongxiang Lian, Li Shi

“…Results: The proposed algorithm was validated through experiments conducted on simulated EEG data and two publicly available cognitive task datasets. The evaluation results and statistical tests demonstrate its robustness and efficiency in clustering task-related EEG microstates. …”
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GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

“…Experimental results on various graph benchmark datasets demonstrate GTAT outperforms recent state-of-the-art methods. …”
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Graph-Based Analysis of RNA Secondary Structure Similarity Comparison by Lina Yang, Yang Liu, Xiaochun Hu, Patrick Wang, Xichun Li, Jun Wu

“…RNA virus and noncoding RNA datasets are applied to perform experiments and analyze the clustering tree. …”
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