Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…A novel method for training the detector was developed, combining the RetinaNet loss function with the loss function of gate blocks and applying meta-learning on the adaptation results for various types of synthetic perturbations. …”
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IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

“…Network pruning is a deep learning model compression technique aimed at reducing model storage requirements and decreasing computational resource consumption. …”
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Students’ understanding of two-variable calculus concepts in mathematics and physics contexts. II. The gradient and the Laplacian by Maria Al Dehaybes, Johan Deprez, Paul van Kampen, Mieke De Cock

“…When learning physics, students need more than just an understanding of mathematical and physical concepts. …”
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BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo. by Hongliang Li, Bin Liu

“…As the key for biological sequence structure and function prediction, disease diagnosis and treatment, biological sequence similarity analysis has attracted more and more attentions. …”
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The Alteration of Proteomic Profiles in Hippocampus of Type 2 Diabetic Mice Associated With Cognitive Impairment by Yoottana Janthakhin, Sirikran Juntapremjit, Karin Hummel, Ebrahim Razzazi-Fazeli, Sutin Kingtong

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A Graphite Ore Grade Recognition Method Based on Improved Inception-ResNet-v2 Model by Xueyu Huang, Renjie Pan, Jionghui Wang

“…To address the variability and low timeliness of traditional manual methods and the limited accuracy of deep learning due to image complexity and feature similarity, we propose an improved Inception-ResNet-v2 model for graphite ore grade recognition. …”
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Sea Cucumber Hydrolysates Alleviate Cognitive Deficits in D-Galactose-Induced C57BL/6J Aging Mice Associated with Modulation of Gut Microbiota by Han Gong, Hang Zhao, Xueying Mao

“…Further, SCH enhanced hippocampal cholinergic function through elevating acetylcholine (ACh) levels and inhibiting acetylcholinesterase (AChE) activity and activated BDNF signaling, consistent with predictions of gut microbiota function. …”
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Late maturation of adult-born neurons in the temporal dentate gyrus. by Jason S Snyder, Sarah C Ferrante, Heather A Cameron

“…Hippocampal function varies along its septotemporal axis, with the septal (dorsal) pole more frequently involved in spatial learning and memory and the temporal (ventral) pole playing a greater role in emotional behaviors. …”
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Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer by Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo

“…Compared to single-kernel function prediction models, the fusion model demonstrates higher data adaptability and optimal prediction performance, enabling accurate forecasting of liquor yield. …”
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Novel Dual-Constraint-Based Semi-Supervised Deep Clustering Approach by Mona Suliman AlZuhair, Mohamed Maher Ben Ismail, Ouiem Bchir

“…Semi-supervised clustering can be viewed as a clustering paradigm that exploits both labeled and unlabeled data to steer learning accurate data clusters and avoid local minimum solutions. …”
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Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias by Catherine Reed, Martin Wynn, Robin Bown

“…Traditional AI centres on supervised learning algorithms to support and enable the application of data rules, predictive functionality and other AI-based features. …”
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DWS-YOLO: A Lightweight Detector for Blood Cell Detection by Yihai Mao, Hongyi Zhang, Wanqing Wu, Xingen Gao, Zhibin Lin, Juqiang Lin

“…Improved attention, loss function, and suppression enhance detection accuracy, while lightweight C3 module reduces computation time. …”
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Amplifying School Mental Health Literacy Through Neuroscience Education by Peter J. Vento, Steven B. Harrod, Brittany Patterson, Kristen Figas, Tucker Chandler, Brooke Chehoski, Mark D. Weist

“…This period of life coincides with major changes in brain structure and function that have profound long-term consequences for learning, decision-making (including risk taking), and emotional processing. …”
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An Extended Closure Relation by LightGBM for Neutrino Radiation Transport in Core-collapse Supernovae by Shota Takahashi, Akira Harada, Shoichi Yamada

“…We use not only the zeroth and first moments of the neutrino distribution function in momentum space as in ordinary closure relations, but also information on the background matter configuration extensively. …”
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Microbiota as diagnostic biomarkers: advancing early cancer detection and personalized therapeutic approaches through microbiome profiling by Majid Eslami, Ramtin Naderian, Aisa Bahar, Ali Babaeizad, Solaleh Rezanavaz Gheshlagh, Valentyn Oksenych, Hamed Tahmasebi

“…The important function of microbiota as therapeutic modulators and diagnostic biomarkers in cancer has been shown by recent developments in microbiome research. …”
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Target sample mining with modified activation residual network for speaker verification. by Ji Chaoqun, Chen Wei, Ye Peng, Wang Zhou, Zhou Shuhang

“…Thus, this paper introduces an adaptive target function capable of solving these issues (SphereSpeaker). …”
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Star-YOLO: A Lightweight Real-Time Wheat Grain Detection Model for Embedded Deployment by Zhihang Qu, Xiao Liang, Sicheng Liang, Xiumei Guo

“…With the rapid advancement of precision agriculture, traditional object detection algorithms struggle with limited efficiency and accuracy in wheat grain detection and counting, while the need for real-time deployment of deep learning models on embedded devices becomes increasingly critical. …”
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Twelve tips for final year medical students undertaking clinical assessment [version 2; peer review: 2 approved] by Shannon Saad, Bunmi S Malau-Aduli, Karen D'Souza, Richard B Hays

“…Background Clinical assessors in pre-registration examinations have been shown to make decisions about student performance by drawing on two overlapping, yet slightly different perspectives: achieving academic learning outcomes, and contributing to clinical workplace function. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…This method permits for the allocation of multiple log source types through a sliding time window and provides a scalable solution, which is a much-needed function.…”
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Underwater Sound Speed Profile Inversion Based on Res-SACNN from Different Spatiotemporal Dimensions by Jiru Wang, Fangze Xu, Yuyao Liu, Yu Chen, Shu Liu

“…It combines the spatiotemporal characteristics of sea level anomaly (SLA) and sea surface temperature anomaly (SSTA) data and establishes a nonlinear relationship between satellite remote sensing data and sound speed field by deep learning. The single empirical orthogonal function regression (sEOF-r) method is used in a comparative experiment to confirm the model’s performance in both the time domain and the region. …”
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