Sex differences and age-related changes of large-scale brain networks by Shujun Zhang, Meiqin Li, Anqiang Chen, Liping Jiang, Hao Yu, Yueqin Chen

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SURGNET: An Integrated Surgical Data Transmission System for Telesurgery by Sriram Natarajan, Aura Ganz

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Abnormal insula network characteristics in panic disorder by Linlin You, Wenhao Jiang, Taipeng Sun, Yue Zhou, Gang Chen, Wei Xu, Chenguang Jiang, Yingying Yue, Suzhen Chen, Ying Chen, Dan Wang, Yonggui Yuan

“…Methods: Functional magnetic resonance imaging (fMRI) data from 82 subjects with PD and 97 healthy controls were included. …”
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Integrating near-infrared hyperspectral imaging with machine learning and feature selection: Detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazeln... by Derick Malavi, Katleen Raes, Sam Van Haute

“…Savitzky-Golay filtering, first and second derivatives, multiplicative scatter correction (MSC), standard normal variate (SNV), and their combinations were used to preprocess the spectral data, with Principal Component Analysis (PCA) reducing dimensionality. …”
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A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHi... by Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah

“…In the past few years, deep learning techniques especially Convolutional Neural Networks (CNNs) have changed medical imaging by making possible automated diagnosis which is fast. …”
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Comparison of Deep Transfer Learning Against Contrastive Learning in Industrial Quality Applications for Heavily Unbalanced Data Scenarios When Data Augmentation Is Limited by Amir Farmanesh, Raúl G. Sanchis, Joaquín Ordieres-Meré

“…AI-oriented quality inspection in manufacturing often faces highly imbalanced data, as defective products are rare, and there are limited possibilities for data augmentation. …”
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Maui: modular analytics of UAS imagery for specialty crop research by Kathleen Kanaley, Maylin J. Murdock, Tian Qiu, Ertai Liu, Schuyler E. Seyram, Dominik Starzmann, Lawrence B. Smart, Kaitlin M. Gold, Yu Jiang

“…Segmentation accuracy decreased when we applied each method to the other dataset, highlighting the importance of modular, flexible segmentation workflows for UAS imaging analysis in specialty crops. Conclusion We present a modular framework to efficiently extract spectral data for specialty crops from UAS imagery. …”
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Overlaps of fMRI activation patterns of the anxiety-emotional and the vestibular-sensory networks by M. Lotze, K. Klepzig, T. Stephan, M. Domin, T. Brandt, M. Dieterich

“…Clinical and meta-analytic imaging data suggest a considerable overlap between vestibular-sensory and anxiety-emotional processing networks. …”
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ENHANCING DISEASE DETECTION PREDICTION ACCURACY OF GRAPE LEAVES USING VGG16 MODEL AND INCEPTION V3 MODEL by Deepshikha Yadav, Archana Balyan, Suman Mann, Aayush Ranga

“…We have employed a robust dataset of high-resolution 500 images representing diverse real-world scenarios. …”
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A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture by Nitthita Chirdchoo, Suvimol Mukviboonchai, Weerasak Cheunta

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GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women by Li Yi, Jaime E. Hart, Grete Wilt, Cindy R. Hu, Marcia Pescador Jimenez, Pi-I Debby Lin, Esra Suel, Perry Hystad, Steve Hankey, Wenwen Zhang, Jorge E. Chavarro, Francine Laden, Peter James

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Analysis of Deep Learning-Based Frameworks for Fault Detection in Big Research Infrastructures: A Case Study of the SOLARIS Synchrotron by Michal Piekarski, Joanna Jaworek-Korjakowska, Adriana Izabela Wawrzyniak

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Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…This survey paper provides a comprehensive overview of the extensive literature on missing data imputation techniques, with a specific focus on applications in genomics, single-cell RNA sequencing, health records, and medical imaging. …”
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3D Jones-matrix thesiography of biological fluid facies by Alexander Ushenko, Iryna Soltys, Alexander Dubolazov, Yuriy Ushenko, Viacheslav Bilookyi, Olexander Bilookyi, Olexandra Litvinenko, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

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Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

“…Abstract Accurate segmentation of power line targets helps quickly locate faults, evaluate line conditions, and provides key image data support and analysis for the safe and stable operation of the power system.The aerial power line in segmentation due to the target is small, and the imaging reflected energy is weak, so the Unmanned Aerial Vehicle (UAV) aerial power line image is very susceptible to the interference of the environment line elements and noise, resulting in the detection of the power line target in the image of the defective, intermittent, straight line interferences and other low accuracy and real-time efficiency is not high. …”
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Detection of Structural Damage After an Earthquake Using GIS and Remote Sensing Methods by Aşır Yüksel Kaya

“…Considering this, high quality images of Malatya city before and after the earthquake were analyzed and data sets were created by masking using Mask RCNN deep learning method through ArcGIS Pro 3.4.0 software. …”
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Mapping Fluvial Valleys on the Flanks of Alba Mons: Implications for Amazonian Watershed Development in Northern Tharsis, Mars by Stephen P. Scheidt, David A. Crown, Daniel C. Berman

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Improving CNN Fish Detection and Classification with Tracking by Boubker Zouin, Jihad Zahir, Florian Baletaud, Laurent Vigliola, Sébastien Villon

“…However, such algorithms are rather image-based and do not exploit the potential of video data. …”
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Alterations in functional and structural connectivity in the 6-OHDA-induced Parkinsonian rat model by Shuyi Zhu, Shuyi Zhu, Maurizio Bergamino, Alberto Fuentes, Ivette M. Sandoval, David J. Marmion, Christopher Bishop, Fredric P. Manfredsson, Ashley M. Stokes

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The impact of knowledge absorptive capacity on the success of knowledge transfers in alliances: The mediating role of interorganizational link strength by Hugo E. Martínez-Ardila, Monica Duenas, Luis Becerra

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