Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data by Jakub Mlost, Rame Dawli, Xuan Liu, Ana Rita Costa, Iskra Pollak Dorocic

“…Summary: Analyzing animal behavior is crucial for decoding brain function, modeling neurological disorders, and assessing therapeutics. …”
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Airport microgrid control using integral-of-absolute-error having high renewable penetration by Sameer Singh, V. P. Singh, A. Mathur, T. K. Bashishtha, Sanjeevikumar Padmanaban, T. Varshney

“…Firstly, the overall transfer function (OATrFn) for AP $${\mu }G_{d}$$ system is obtained by modeling and combining each component. …”
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Self-Adjusting Look-Ahead Distance of Precision Path Tracking for High-Clearance Sprayers in Field Navigation by Xu Wang, Bo Zhang, Xintong Du, Huailin Chen, Tianwen Zhu, Chundu Wu

“…By developing a kinematic model of the pure pursuit algorithm for agricultural machinery, an evaluation function is then employed to estimate the pose of the machinery and identify the corresponding optimal look-ahead distance within the designated area. …”
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Online Resource Allocation and Trajectory Optimization of STAR–RIS–Assisted UAV–MEC System by Xi Hu, Hongchao Zhao, Wujie Zhang, Dongyang He

“…Specifically, we firstly use the Lambert function to solve for the closed-form solution of the transmit power; then, use Lagrange duality and the Karush–Kuhn–Tucker conditions to solve time slot allocation; finally, successive convex approximation is used to obtain trajectory planning for UAVs with lower complexity, and triangular inequalities are used to solve the STAR–RIS phase shift. …”
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Internal auditing as one of the most important internal mechanisms for embodying the principles of Corporate Governance by Zahra ABBAS, Nedjwa BENAOUIDA

“… The audit function is considered among the most important jobs in companies, because of the great interest in it and the many benefits it provides to companies such as fraud detection, carrying out control operations, and providing consulting services. …”
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Neural population dynamics underlying evidence accumulation in multiple rat brain regions by Brian DePasquale, Carlos D Brody, Jonathan W Pillow

“…Accumulating evidence to make decisions is a core cognitive function. Previous studies have tended to estimate accumulation using either neural or behavioral data alone. …”
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Deep plug-and-play denoising prior with total variation regularization for low-dose CT by Yinjin Ma, Yajuan Zhang, Lin Chen, Qiang Jiang, Fengjuan Shi, Biao Wei

“…We then train the DRBNet using a hybrid loss function combining L1 and multi-scale structural similarity (M-SSIM) losses, while regularizing the training with total variation (TV). …”
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Ball possession as an indicator identifying differences in the efficient operation of football teams during the World Cup - Qatar 2022 by Andrzej Soroka, Henryk Duda, Aleksander Stuła, Tadeusz Ambroży, Christoph Kromke, Hans-Dieter Te Poel

“…STATISTICA 13 PL (TIBCO Software, PaloAlto, CA, USA) software in it a discriminant function and the t – Student test were used to conduct statistical analysis. …”
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Briséis et la plainte funèbre de l’épouse dans l’épopée homérique by Marella Nappi

“…In her lament for Patroclus, Briseis speaks with the voice of someone close to the deceased and assumes the function of the mourning female normally assigned to the mother or wife. …”
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Emotional Processing Impairments in Apathetic Patients with Parkinson’s Disease: An ERP Study in Early Time Windows by Wei Wei, Jianghai Ruan, Xiaodong Duan, Hua Luo

“…The Starkstein Apathy Scale (SAS) was used to divide the PD patients into apathetic and nonapathetic groups. Cognitive function was evaluated by the forward and backward Digit Span tests, Trail Making Test (TMT), and Word Fluency Test. …”
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An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…IntroductionIn the aviation field, drone search and rescue is a highly urgent task involving small target detection. In such a resource-constrained scenario, there are challenges of low accuracy and high computational requirements.MethodsThis paper proposes IYFVMNet, an improved lightweight detection network based on YOLOv8. …”
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Modelling temporal stability of EPI time series using magnitude images acquired with multi-channel receiver coils. by Chloe Hutton, Evelyne Balteau, Antoine Lutti, Oliver Josephs, Nikolaus Weiskopf

“…In 2001, Krueger and Glover introduced a model describing the temporal SNR (tSNR) of an EPI time series as a function of image SNR (SNR(0)). This model has been used to study physiological noise in fMRI, to optimize fMRI acquisition parameters, and to estimate maximum attainable tSNR for a given set of MR image acquisition and processing parameters. …”
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Breeding evaluations in aquaculture using neural networks by Christos Palaiokostas

“…In addition, the effect of various hyperparameters of neural networks, such as the number of hidden layers, neurons per layer, activation function, learning rate, batch size, and regularisation techniques like dropout, were examined. …”
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An Integrated Lateral and Longitudinal Decision-Making Model for Autonomous Driving Based on Deep Reinforcement Learning by Jianxun Cui, Boyuan Zhao, Mingcheng Qu

“…By setting a reasonable state, action, and reward function, this paper has carried out a large number of simulation experiments on the proposed autonomous driving decision-making model based on deep reinforcement learning in a three-lane road environment. …”
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A Framework for Coverage Path Planning of Outdoor Sweeping Robots Deployed in Large Environments by Braulio Félix Gómez, Akhil Jayadeep, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…Coverage Path Planning (CPP) is a critical function for these robots. However, existing CPP methods often perform poorly in large environments, where such robots are typically deployed. …”
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Prospects for the use of flavonoid substances in pulmonary fibrosis (review of experimental studies) by E. A. Gubareva, A. L. Semenov

“…This leads to loss of lung tissue elasticity and impairment of its function, which significantly reduces the quality of patients’ lives. …”
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Lightweight underwater object detection method based on multi-scale edge information selection by Shaobin Cai, Xin Zhou, Wanchen Cai, Liansuo Wei, Yuchang Mo

“…Finally, by using the boundary box regression loss WIoUv3 based on the dynamic focusing mechanism as the loss function, the model’s attention to low-quality samples is increased, effectively reducing the negative impact of these samples on the model’s performance. …”
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Impaired emotional response inhibition among adolescents with bipolar depression: evidence from event-related potentials and behavioral performance by Fangfang Chen, Cheng Chen, Mingfei Wu, Bingqing Luo, Han Cai, Fengqiong Yu, Lianzi Wang

“…Impaired attentional function and discrimination of emotional information are related to the failure of behavioral inhibition in negative emotional contexts, and attenuated P3 amplitude and theta-band oscillation could be an electrophysiological indicator for this impairment.…”
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Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning by Junlong Ma, Heng Chen, Ji Sun, Juanjuan Huang, Gefei He, Guoping Yang

“…The trained models, in conjunction with liver function laboratory tests, were used to thoroughly and efficiently identify liver injury cases. …”
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Developing a novel approach for passive damped LCL filter and controller parameter design using PSO algorithm in VSC-based islanded microgrids by Yared Bekele Beyene, Getachew Biru Worku, Lina Bertling Tjernberg

“…Well-founded mathematical models define parameter bounds, ensuring a unity ratio between converter-side and coupling inductances, and setting the switching-to-resonance frequency ratio by considering converter-side and output ripple currents. The objective function is formulated to improve the tracking performance of the outer voltage and inner current control loops with respect to their reference signals while minimizing total harmonic distortion (THD) and maintaining an optimal balance between filtering effectiveness and system performance. …”
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