Challenges of Vehicle Classification Using Acoustics by Raiden Evans, Stephanie Mullins, George Noel

“…Automated acoustic classification of vehicles is a challenging problem with many variables. Vehicles produce complex sounds from many sources, sound signatures vary between similar vehicles, and background noise has a large impact on audio data. …”
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RL Perceptron: Generalization Dynamics of Policy Learning in High Dimensions by Nishil Patel, Sebastian Lee, Stefano Sarao Mannelli, Sebastian Goldt, Andrew Saxe

“…Reinforcement learning (RL) algorithms have transformed many domains of machine learning. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…Abstract Electricity theft is a common problem in many countries and affects the revenue of the electricity industry significantly. …”
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Semantic Segmentation of Unmanned Driving Scene Based on Spatial Channel Dual Attention by WANGXiaoyu, LINPeng

“…Existing semantic segmentation algorithms have too many parameters and huge memory usage , which makes it difficult to meet the problems of real-world applications such as unmanned driving. …”
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An accessible method for implementing hierarchical models with spatio-temporal abundance data. by Beth E Ross, Mevin B Hooten, David N Koons

“…To address these issues, many scientists and statisticians have recommended the use of Bayesian hierarchical models. …”
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Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems by Qiang Miao, Thomas Barthel

“…Strongly-correlated quantum many-body systems are difficult to study and simulate classically. …”
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FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency by Valerie Restat, Indra Diestelkämper, Meike Klettke, Uta Störl

“…An important aspect of this is data cleaning. Although many different algorithms and tools already exist for data cleaning, an end-to-end data quality solution is still needed. …”
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The resource theory of tensor networks by Matthias Christandl, Vladimir Lysikov, Vincent Steffan, Albert H. Werner, Freek Witteveen

“…Tensor networks provide succinct representations of quantum many-body states and are an important computational tool for strongly correlated quantum systems. …”
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Thymidine phosphorylase and prostrate cancer cell proliferation inhibitory activities of synthetic 4-hydroxybenzohydrazides: In vitro, kinetic, and in silico studies. by Sumaira Javaid, Syed Muhammad Saad, Humaira Zafar, Rizwana Malik, Khalid Mohammed Khan, M Iqbal Choudhary, Atta-Ur Rahman

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Limits on reliable information flows through stochastic populations. by Lucas Boczkowski, Emanuele Natale, Ofer Feinerman, Amos Korman

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Mechanical positioning of multiple nuclei in muscle cells. by Angelika Manhart, Stefanie Windner, Mary Baylies, Alex Mogilner

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Sistema Avanzado de Protipado Rápido para Control en la Educación en Ingeniería para grupos Multidisciplinares by Antonio Flores Caballero, Dorin Sabin Copaci, Álvaro Villoslada Peciña, Dolores Blanco Rojas, Luis Moreno Lorente

“…Model based design is focused on the research and development of the control algorithm, system identification and plant modelling. …”
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Social capital and resilience among people living on antiretroviral therapy in resource-poor Uganda. by Esther Kalule Nanfuka, David Kyaddondo, Sarah N Ssali, Narathius Asingwire

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Attentional bias for alcohol cues in visual search-Increased engagement, difficulty to disengage or both? by Janika Heitmann, Nienke C Jonker, Brian D Ostafin, Peter J de Jong

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A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) by C. Mathison, C. Mathison, E. J. Burke, G. Munday, C. D. Jones, C. D. Jones, C. J. Smith, C. J. Smith, C. J. Smith, C. J. Smith, N. J. Steinert, N. J. Steinert, A. J. Wiltshire, A. J. Wiltshire, C. Huntingford, E. Kovacs, L. K. Gohar, R. M. Varney, D. McNeall, D. McNeall

“…These patterns provide the inputs to a “weather generator” algorithm and a land surface model. The PRIME system thus generates an end-to-end estimate of the land surface impacts from the emissions scenarios. …”
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Evaluasi Algoritma Machine Learning untuk Klasifikasi dan Prediksi Penggunaan Lahan by Fajar Nugraha, Dwi Putro Tejo Baskoro, Suria Darma Tarigan

“…This study aimed to evaluate machine learning algorithms in land use classification and prediction and analyzed land use change from 2002 to 2032. …”
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Long-read whole genome sequencing and comparative analysis of six strains of the human pathogen Orientia tsutsugamushi. by Elizabeth M Batty, Suwittra Chaemchuen, Stuart Blacksell, Allen L Richards, Daniel Paris, Rory Bowden, Caroline Chan, Ramkumar Lachumanan, Nicholas Day, Peter Donnelly, Swaine Chen, Jeanne Salje

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Development of ultra-short PCR assay to reveal BRAF V600 mutation status in Thai colorectal cancer tissues. by Nunthawut Chat-Uthai, Pichpisith Vejvisithsakul, Sutthirat Udommethaporn, Puttarakun Meesiri, Chetiya Danthanawanit, Yannawan Wongchai, Chinachote Teerapakpinyo, Shanop Shuangshoti, Naravat Poungvarin

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Comprehensive analysis reveals cholesterol metabolism-related signature for predicting prognosis and guiding individualized treatment of glioma by Dengfeng Lu, Fei Wang, Yayi Yang, Aojie Duan, Yubo Ren, Yun Feng, Haiying Teng, Zhouqing Chen, Xiaoou Sun, Zhong Wang

“…Finally, the drug sensitivity of gliomas in different risk groups was evaluated using the oncoPredict algorithm, and potentially sensitive chemotherapeutic and molecular-targeted drugs were identified. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…This study employs a novel CNN algorithm alongside two pre-trained models to effectively identify and classify various types of quince diseases.Materials and MethodsImages of healthy and diseased leaves were acquired from several databases. …”
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