Semantic-Aware Low-Light Image Enhancement by Learning from Multiple Color Spaces by Bo Jiang, Xuefei Wang, Naidi Yang, Yuhan Liu, Xi Chen, Qiwen Wu

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Fast-RF-Shimming: Accelerate RF shimming in 7T MRI using deep learning by Zhengyi Lu, Hao Liang, Ming Lu, Xiao Wang, Xinqiang Yan, Yuankai Huo

“…Traditional RF shimming methods, such as Magnitude Least Squares (MLS) optimization, effectively mitigate B1+ inhomogeneity, but remain time-consuming. Recent machine learning approaches, including RF Shim Prediction by Iteratively Projected Ridge Regression and other deep learning architectures, suggest alternative pathways. …”
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Tracing the molecular landscape of diabetic nephropathy: Insights from machine learning and experiment verification by Shahad W. Kattan, Ahmed M. Basri, Mohammad H. Alhashmi, Amany I. Almars, Reem Hasaballah Alhasani, Ifat Alsharif, Ikhlas A. Sindi, Ahmad H. Mufti, Iman S. Abumansour, Nasser A. Elhawary, Aishah Abdullah Qahtani, Hailah M. Almohaimeed

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Dual-Branch Deep Learning with Dynamic Stage Detection for CT Tube Life Prediction by Zhu Chen, Yuedan Liu, Zhibin Qin, Haojie Li, Siyuan Xie, Litian Fan, Qilin Liu, Jin Huang

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An incremental learning framework for pipeline weld crack damage identification and leakage rate prediction by Jing Huang, Zhifen Zhang, Yanlong Yu, Yongjie Li, Shuai Zhang, Rui Qin, Ji Xing, Wei Cheng, Guangrui Wen, Xuefeng Chen

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Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…Automating this process could reduce time-to-market and associated development costs. Learning-based methods, particularly graph neural networks (GNNs), have shown considerable potential in addressing HLS QoR/DSE problems by modeling the mapping function from control data flow graphs (CDFGs) of HLS designs to their logic, enabling early estimation of QoR during the compilation phase of the hardware design flow. …”
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Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions by Binrui Liu, Xinguang He, Wenkai Lyu, Lizhi Tao

“…Building on the PDL, a Physics-Augmented Learning (PAL) model is then formulated by introducing a physics-augmented term into the loss function. …”
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3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer’s disease via machine learning by Wissam B. Nassrallah, Hao Ran Li, Lyden Irani, Printha Wijesinghe, Peter William Hogg, Lucy Hui, Jean Oh, Ian R. Mackenzie, Veronica Hirsch-Reinshagen, Ging-Yuek Robin Hsiung, Wellington Pham, Sieun Lee, Joanne A. Matsubara

“…However, little is known about microglia’s ability to function and clear Aβ within the retina of AD and control eyes. …”
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FaN-REMs: Fair and Normalized Retrieval Evaluation Metrics for Learning Retrieval Systems by Amar Jaiswal, Mohit Kumar, Ajeet Ram Pathak, Kassaye Yitbarek Yigzaw

“…Despite inherent challenges in evaluating evaluation metrics, FaN-REMs demonstrated robust performance across plausible domain values for the FaN relevancy function. These metrics effectively assess retrievals across different implementations, similarity measures, and applications, with inherent normalization allowing for comparisons across heterogeneous systems. …”
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Few-shot object detection for pest insects via features aggregation and contrastive learning by Shuqian He, Shuqian He, Biao Jin, Biao Jin, Xuechao Sun, Wenjuan Jiang, Wenjuan Jiang, Jiaxing Gu, Fenglin Gu

“…Additionally, supervised contrastive learning is employed to strengthen intra-class similarity and inter-class dissimilarity, thereby improving discriminative power. …”
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Parsimonious models of root zone temperature in soilless substrates through ensemble machine learning by James F. Cross, James S. Owen, Jr., Jacob H. Shreckhise, Jeb S. Fields, Lloyd Nackley, James E. Altland, Darren T. Drewry

“…However, open-air production of containerized plants introduces risks for extreme root zone temperatures (RZTs) that impair root function, reduce growth and increase crop loss. While passive mitigation strategies exist, growers often rely on irrigation to cool substrates during high-temperature events. …”
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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…ObjectiveParkinson’s disease (PD) is a progressive neurodegenerative disorder that significantly impacts motor function and speech patterns. Early detection of PD through non-invasive methods, such as speech analysis, can improve treatment outcomes and quality of life for patients. …”
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach by Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang

“…We also adopted a machine learning approach to analyze the complex acoustic features of hotline callers, with the aim of developing suicide risk prediction models. …”
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Maize Leaf Area Index Estimation Based on Machine Learning Algorithm and Computer Vision by Wanna Fu, Zhen Chen, Qian Cheng, Yafeng Li, Weiguang Zhai, Fan Ding, Xiaohui Kuang, Deshan Chen, Fuyi Duan

“…However, VisLAI consistently outperformed all machine learning models, especially during the grain filling stage, demonstrating superior robustness and accuracy. …”
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Immune Microenvironment Characterization and Machine Learning-Guided Identification of Diagnostic Biomarkers for Ulcerative Colitis by Zheng Q, Wang L, Zhang Y, Peng J, Hou J, Wang H, Ma Y, Tang P, Li Y, Li H, Chen Y, Li J, Chen Y

“…Functional enrichment analysis revealed associations with inflammatory and immune-regulatory pathways, highlighting their biological relevance. …”
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SPATIAL MEMORY AND HISTOMORPHOLOGICAL CHANGES INDUCED BY SUBCHRONIC NITROCELLULOSE INHALATION IN MICE: ROLE OF DEXAMETHASONE IN THE CEREBRUM by Olubunmi Balogun, Viskasari P Kalanjati

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The Characteristic Trends in Latvian Regional Press: Changes in the Traditional Functions of the Press, the Aspects of Identity and Cultural Diversity by Ditė Liepa, Zenta Liepa

“…In it the readers can learn how to make an annual visit to a sanatorium and prepare meals for 2 euros a day – and not to complain about it; they are advised not to wait for miracles and find joy in the little things, as true strength can be found within, and one can learn to manage, not to complain, and set an example to the neighbours. …”
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SOUTH AFRICAN USERS’ FUNCTION AND EXPERIENCE WITH A MAGNETORHEOLOGICAL MICROPROCESSOR KNEE: A MIXED METHODS STUDY by Surona Visagie, Benje Theron

“…OBJECTIVE: To explore and describe South African users’ function and experience with the Rheo XC microprocessor knee (MPK). …”
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Hyperparameter Optimization EM Algorithm via Bayesian Optimization and Relative Entropy by Dawei Zou, Chunhua Ma, Peng Wang, Yanqiu Geng

“…Hyperparameter optimization (HPO), which is also called hyperparameter tuning, is a vital component of developing machine learning models. These parameters, which regulate the behavior of the machine learning algorithm and cannot be directly learned from the given training data, can significantly affect the performance of the model. …”
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Bridging deep learning force fields and electronic structures with a physics-informed approach by Yubo Qi, Weiyi Gong, Qimin Yan

“…By endowing a well-developed machine-learning force field with electronic structure simulation capabilities, the study marks a significant advancement in developing multimodal machine-learning-based computational methods that can achieve multiple functionalities traditionally exclusive to first-principles calculations. …”
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