Enhancing seabed sediment classification with multibeam echo-sounding and self-training: a case study from the East Sea of South Korea by Changhoon Lee, Sujung Park, Daeung Yoon, Bo-Yeon Yi, Moonsoo Lim

“…This integrated workflow demonstrates the potential of machine-learning techniques to advance seabed mapping and support informed marine resource management.…”
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Crop field extraction from high resolution remote sensing images based on semantic edges and spatial structure map by Liegang Xia, Ruiyan Liu, Yishao Su, Shulin Mi, Dezhi Yang, Jun Chen, Zhanfeng Shen

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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

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Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer by Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Dukju Kim, Seongmoon Jung, Jimin Lee

“…We adopted a new data synthesis method to prevent tissue information loss by sinogram handling. For the synthetic data, our method outperformed previous models (e.g., linear interpolation, UNet, IndudoNet, FusionNet, Uformer) in terms of image quality and quantitative evaluations, showing the lowest average value of calculated artifact index, 26.57311, compared to the others. …”
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Classification evaluation and improvement of airborne PolSAR images for land use mapping using deep learning by Jiafeng Wang, Yongjiu Feng, Xiaohua Tong, Zhenkun Lei, Mengrong Xi, Yi Zhou, Panli Tang

“…Polarimetric synthetic aperture radar (PolSAR) images have been widely used in many fields due to its advantage in obtaining full polarization information, especially in land use classification. …”
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Decoding Human Facial Emotions: A Ranking Approach Using Explainable AI by Sudheer Babu Punuri, Sanjay Kumar Kuanar, Tusar Kanti Mishra, Veeranki Venkata Rama Maheswara Rao, Shiva Shankar Reddy

“…To decipher human activities and facilitate organic computer-human interactions, facial expression recognition is crucial using four datasets JAFFE, CKPlus, KDEF and AffectNet, we achieve excellent accuracy in human face emotion classification with the VGG 16 pre-trained model with transfer learning. …”
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Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset by Md Firoz Kabir, Md Yousuf Ahmad, Roise Uddin, Martin Cordero, Shashi Kant

“…Comparative analysis demonstrated notable improvements over benchmark models, including CST-CNN (98% accuracy), MobileNetV2 (97% accuracy), DenseNet121 (97% accuracy), and InceptionV3 (90% accuracy). …”
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Patterns of water‐extractable soil organic matter in the US Great Plains: Insights from the Haas Soil Archive by Jonathan J. Halvorson, Angela M. Hansen, Catherine E. Stewart, Mark A. Liebig

“…Net extractable N decreased at Moccasin by 22% but did not change elsewhere. …”
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Time dependent predictors of cardiac inflammatory adverse events in cancer patients receiving immune checkpoint inhibitors by Michael Sayer, Hirofumi Hamano, Misako Nagasaka, Benjamin J. Lee, Jean Doh, Pranav M. Patel, Yoshito Zamami, Aya F. Ozaki

“…Methods A cohort of patients receiving ICI therapy from January 1, 2010 to May 1, 2022 was identified from TriNetX meeting inclusion/exclusion criteria. Patient data collected included occurrence of early and later cardio-inflammatory irAEs, patient survival time, patient demographic information, ICI therapies, comorbidities, and medication histories. …”
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Multi-behavioral job recommendation integrating knowledge graph by Bin LIU, Xiaoyu LEI, Gege LIU, Shiyuan ZHAN, Xin GAO, Xiaoyan YANG

“…The results show that compared with the four benchmark models (MF,XGBoost,KGCN and RippleNet),MB-JRIKG achieves a 0.014 5 improvement in AUC and a 0.028 8 improvement in ACC over the sub optimal benchmark model RippleNet,verifying the effectiveness of the model and achieving full utilization of data. …”
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Irrigation and primary nutrients’ performance on winter maize productivity, profitability, energetics, and carbon footprint in Gangetic plains of India by Saikat Biswas, Rupa Das, Dhananjoy Dutta

“…Additionally, I1F3 recorded maximum net energy gain, while in terms of energy productivity, I2F3 outperformed others. …”
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xLSTM Interaction Multilevel SSM-Assisted Decoding Network for Remote Sensing Image Change Detection by Chunpeng Wu, Shuli Cheng, Anyu Du, Liejun Wang, Wenbin Tang

“…Extensive experiments on the BCDD, LEVIR-CD, and CDD change detection datasets show that xLMSD-Net outperforms other state-of-the-art CD methods across multiple performance metrics.…”
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Predicting the effect of seine rope layout pattern and haul-in procedure on the effectiveness of demersal seine fishing: A Computer simulation-based approach. by Nina A H Madsen, Karl G Aarsæther, Bent Herrmann

“…The seine ropes and net are deployed in a specific pattern encircling an area on the seabed. …”
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AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks by Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang

“…Data from the Therapeutic Target Database (TTD) and DisGeNET were integrated to identify known drug targets and gene-disease associations, respectively. …”
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Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approach by Tatsuya Teramae, Takamitsu Matsubara, Takamitsu Matsubara, Tomoyuki Noda, Jun Morimoto, Jun Morimoto

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The effectiveness of combined approaches towards improving utilisation of adolescent sexual and reproductive health services in Kenya: a quasi-experimental evaluation by Lilian Mutea, Justinah Maluni, Mark Kabue, Vincent Were, Susan Ontiri, Kristien Michielsen, Peter Gichangi

“…Descriptive results showed a net increase of 12.7% in intervention sites in the knowledge of misconceptions about sex, pregnancy, and contraception, compared to 10.4% in the control site. …”
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Multi-Scale Venation Pattern Analysis for Medicinal Plant Species Recognition by Arnav Sanjay Karnik, Nikhil Nair, Yashas Sagili, P. B. Pb

“…Venation patterns—defined by the hierarchical arrangement of veins within a leaf—carry significant taxonomic information that is often overlooked by conventional plant classification approaches. …”
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Protecting the poor? Impact of the national health equity fund on utilization of government health services in Cambodia, 2006-2013 by Peter Leslie Annear, John Tayu Lee, Keovathanak Khim, Por Ir, Ellen Moscoe, Tapley Jordanwood, Thomas Bossert, Matthias Nachtnebel, Veasnakiry Lo

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Lightweight Deep Learning Model for Fire Classification in Tunnels by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

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Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network by Mengjuan Xu, Xiang Chen, Yuwen Ruan, Xu Zhang

“…In the transfer learning-based cross-user recognition experiments, TL-CMSTGCN achieves an impressive recognition rate of 92.3%, which is significantly superior to both TL-ResNet50 (84.6%, p = 0.003) and TL-LSTM (85.3%, p = 0.008). …”
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