Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network by Zhiting Yao, Xiyuan Chen

“…For self-driving vehicles, detecting lane lines in changeable scenarios is a fundamental yet challenging task. The rise of deep learning in recent years has contributed to the thriving of autonomous driving. …”
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Holly Furneaux, Military Men of Feeling: Emotion, Touch, and Masculinity in the Crimean War by Thierry Goater

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Visual and Keeping Quality of Stored Bulb Onions as Affected by Harvest and Postharvest Treatments by Irene N. Kiura, Bernard M. Gichimu, Felix Rotich

“…Bulbs that were harvested at 75% top fall and cured for one or two weeks before topping were found to have significantly better visual and keeping quality. …”
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Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models by Yuling Hong, Qishan Zhang

“…Moreover, its future popularity can be predicted by deep learning methods. At the same time, a new application field of deep learning technology has been further discovered and verified. …”
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Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection by Jae Won Seo, Young Jae Kim, Kwang Gi Kim

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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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Blacklegged Tick or Deer Tick, Ixodes scapularis Say (Arachnida: Acari: Ixodidae) by Michael R. Patnaude, Thomas N. Mather

“…EENY-143/IN300: Blacklegged Tick or Deer Tick, Ixodes scapularis Say (Arachnida: Acari: Ixodidae) (ufl.edu) …”
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Multiple sclerosis diagnosis with brain MRI retrieval: A deep learning approach by R.M. Haggag, Eman M. Ali, M.E. Khalifa, Mohamed Taha

“…Experiments on four public MS-MRI datasets demonstrated the end-to-end deep learning framework’s generalizability without extensive pre-processing, with mAP scores of 86.20%, 93.77%, 94.18%, and 90.46%, respectively demonstrating its effectiveness in retrieval. …”
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Author Correction: Prospective de novo drug design with deep interactome learning by Kenneth Atz, Leandro Cotos, Clemens Isert, Maria Håkansson, Dorota Focht, Mattis Hilleke, David F. Nippa, Michael Iff, Jann Ledergerber, Carl C. G. Schiebroek, Valentina Romeo, Jan A. Hiss, Daniel Merk, Petra Schneider, Bernd Kuhn, Uwe Grether, Gisbert Schneider

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Pedestrian Motion Path Detection Method Based on Deep Learning and Foreground Detection by Meiman Li, Wenfu Xie

“…For the surveillance video images captured by monocular camera, this paper proposes a method combining foreground detection and deep learning to detect moving pedestrians, making full use of the invariable background of video image. …”
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A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure by Wenmao Wu, Zhizhou Yu, Jieyue He

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Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning by Jonathan Axel Cruz-Vazquez, Jesús Yaljá Montiel-Pérez, Rodolfo Romero-Herrera, Elsa Rubio-Espino

Subjects: “…EEG signals…”
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Daar is méér. ’n Outobiografiese reisverhaal deur Amper-Stamperland en Metaversum by L. Hoffman

“…Die boek wil nie kitsantwoorde gee nie – daarvoor is dit te lywig. Op hierdie vrae is daar immers nie vinnige antwoorde nie. ’n Pragtige voorblad wat herinner aan iets uit die (’n) ruimte met die uitdagende woorde in groot rooi letters: “Daar is méér”. …”
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Adaptive Traffic Signal Control Model on Intersections Based on Deep Reinforcement Learning by Duowei Li, Jianping Wu, Ming Xu, Ziheng Wang, Kezhen Hu

“…., “Simulation of Urban Mobility” (SUMO), using the technology of modern deep reinforcement learning. The model is proposed based on a deep Q-network algorithm that precisely represents the elements associated with the problem: agents, environments, and actions. …”
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A Deep Reinforcement Learning Approach to the Optimization of Data Center Task Scheduling by Haiying Che, Zixing Bai, Rong Zuo, Honglei Li

“…This study aimed at building a new scheduling model with deep reinforcement learning algorithm, which integrated the task scheduling with resource-utilization optimization. …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

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"I Fregi del Ceppo”: when artificial intelligence and geomatics meet theatre by Pietro Bartolini, Alessandro Conti, Lidia Fiorini, Grazia Tucci

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TriangularSORT: A Deep Learning Approach for Ship Wake Detection and Tracking by Chengcheng Yu, Yanmei Zhang

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I Medieval Hunting Meeting, sobre o tema “human-canis relations” by Tiago Viúla de Faria, Afonso Soares de Sousa, Diana Martins

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Crossed Aphasia. II: Why Are Deep Lesions Overrepresented with Respect to Standard Aphasia? by M. Laiacona, E. Capitani, C. Stangalino, L. Lorenzi

“…In this paper we have reviewed the cases of vascular crossed aphasia reported in the literature, in order to check whether deep lesions are really overrepresented in crossed aphasia with respect to standard aphasia. …”
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