Automatic Detection of Electric Motorcycle Based on Improved YOLOv5s Network by Yinggang He

“…Compared to classical models like faster R-CNN and YOLOv5, this methodology achieves higher performance with fewer parameters and computational complexity, meeting real-time requirements.…”
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ScITree: Scalable Bayesian inference of transmission tree from epidemiological and genomic data. by Hannah Waddel, Katia Koelle, Max S Y Lau

“…We develop a computationally-efficient data-augmentation Markov Chain Monte Carlo algorithm, inferring key model parameters and unobserved dynamics including the transmission tree. …”
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Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models. by Wyatt G Madden, Wei Jin, Benjamin Lopman, Andreas Zufle, Benjamin Dalziel, C Jessica E Metcalf, Bryan T Grenfell, Max S Y Lau

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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

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Stimulating at the right time to recover network states in a model of the cortico-basal ganglia-thalamic circuit. by Timothy O West, Peter J Magill, Andrew Sharott, Vladimir Litvak, Simon F Farmer, Hayriye Cagnan

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Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data. by Xu Shi, Xiao Wang, Lu Jin, Leena Halakivi-Clarke, Robert Clarke, Andrew F Neuwald, Jianhua Xuan

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Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

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Agent-based multimodal information extraction for nanomaterials by R. Odobesku, K. Romanova, S. Mirzaeva, O. Zagorulko, R. Sim, R. Khakimullin, J. Razlivina, A. Dmitrenko, V. Vinogradov

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Sitting and Standing Intention Detection Based on Dynamical Region Connectivity and Entropy of EEG by Wenwen Chang, Wenchao Nie, Yueting Yuan, Yuchan Zhang, Renjie Lv, Lei Zheng, Guanghui Yan

“…Based on the brain signals, decoding and analyzing the gait features to make a reliable prediction of action intention are the core issues in the brain computer interface (BCI)-based hybrid rehabilitation and intelligent walking aid robot system. …”
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Transformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients by Ma Xinli, Zhao Jie, Yan Ming, Zhang Yanping, Li Fan, Jia Jing, Ding Lu

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Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentation. by David M Holloway, Francisco J P Lopes, Luciano da Fontoura Costa, Bruno A N Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V Spirov

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YOLOv8-POS: a lightweight model for coal-rock image recognition by Yanqin Zhao, Wenyu Wang

“…This reduces unnecessary computational overhead while preserving the integrity of critical feature information, thus significantly cutting down on the model’s parameters and computational demands. …”
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Photovoltaic panel defect detection algorithm based on infrared imaging and improved YOLOv8 by Jingdong Wang, Zhu Cheng

“…To address the challenges of high missed detection rates, complex backgrounds, unclear defect features, and uneven difficulty levels in target detection during the industrial process of photovoltaic panel defect detection, this article proposes an infrared detection method based on computer vision, with enhancements built upon the YOLOv8 model. …”
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Understanding the deformability of 2D van der Waals materials from the perspective of chemical bonds by Haoran Huang, Zhiqiang Gao, Ling Fu, Kunpeng Zhao, Jiawei Zhang, Tian-Ran Wei, Xun Shi

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Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction by Tanveer Alam Munshi, Khanum Popi, Labiba Nusrat Jahan, M. Farhad Howladar, Mahamudul Hashan

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Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

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Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive by Elena Pastorelli, Alper Yegenoglu, Alper Yegenoglu, Nicole Kolodziej, Nicole Kolodziej, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci

“…This work provides the computational community with a two-compartment spiking neuron model that supports the proposed forms of brain-state-specific activity. …”
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iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism by Qian Zhou, Jie Meng, Hao Luo

“…Therefore, it is an urgent challenge to develop computational methods for identifying promoters. Most current methods were designed for promoter recognition on few species and required complex feature extraction methods in order to attain high recognition accuracy. …”
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A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Comparison of the different models shows that the C2f Attention IRMB, through the mechanism of dual attention The comparison of different models shows that C2f Attention IRMB strengthens the feature expression ability through the dual-attention mechanism, and the Powerneck module reduces redundant computation through dynamic channel pruning, and the two synergistically optimize the model performance significantly. …”
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Fault Line Selection Method Based on Transfer Learning Depthwise Separable Convolutional Neural Network by Haixia Zhang, Wenao Cheng

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