Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain by Alexander Uzhinskiy

“…Additionally, the impact of data normalization is tested, and the generalization ability of the models is assessed using a special dataset consisting of 400 images of difficult-to-identify plant disease cases.…”
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Automatic detection and tracking the moving objects observed by an unmanned aerial vehicles video camera by R. S. Zhuk

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Bayesian Estimation for the Doubly Censored Topp Leone Distribution using Approximate Methods and Fuzzy Type of Priors by Navid Feroze, Ali Al-Alwan, Muhammad Noor-ul-Amin, Shajib Ali, R. Alshenawy

“…A simulation study has been conducted to assess and compare the performance of various posterior estimators. In addition, a real dataset has been analyzed for the illustration of the applicability of the results obtained in the study. …”
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Paysage de l’eau et politiques de (ré)aménagement dans le delta du fleuve Rouge by Tien Tam Nguyen, Bernard Davasse, Thai Huyen Nguyen

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Analysis of Feature Fusion Based on HIK SVM and Its Application for Pedestrian Detection by Song-Zhi Su, Shu-Yuan Chen

“…The proposed fusion method uses only images from the INRIA dataset for training but works on the two newly collected datasets, thereby avoiding the training overhead for cross-datasets. …”
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Facial Expression Recognition Using a Novel Modeling of Combined Gray Local Binary Pattern by An H. Ton-That, Nhan T. Cao

“…The accuracy of experiments performed on four facial expression datasets with different sizes is from about 95% to more than 99%.…”
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Modeling interdisciplinary interactions among physics, mathematics and computer science by Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee

“…We carry out experiments on a dataset comprising more than 1.2 million articles taken from these three fields. …”
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Investigating the durability enhancement of recycled construction concrete through the application of nano-montmorillonite by Wei Yuan, Jie Li, Ziwei Cai

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Volumetric Denoising of XCT Data Using Quantum Computing by Thomas Lang, Anja Heim, Anastasia Papadaki, Kilian Dremel, Dimitri Prjamkov, Martin Blaimer, Markus Firsching, Stefan Kasperl, Theobald O.J. Fuchs

“…The final implementation is executed on a real X-ray computed tomography dataset, showing that proper denoising can be performed on quantum devices, yet current technological limitations inhibit the application to large datasets. …”
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Eggs of the Blind Snake, Liotyphlops albirostris, Are Incubated in a Nest of the Lower Fungus-Growing Ant,  Apterostigma cf. goniodes by Gaspar Bruner, Hermógenes Fernández-Marín, Justin C. Touchon, William T. Wcislo

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An LSTM approach to deciphering irrigation operations from remote sensing and groundwater levels records by Shiqi Wei, Tianfang Xu

“…This framework enables allocation of long-term irrigation amounts to individual events, allows hydrologic models to assimilate irrigation dataset to assess irrigation impacts, and improves irrigation behavior representation in water resources management.…”
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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…In order to improve detection accuracy and generalization, this research suggests a deep learning-based detection model that combines the Long Short-Term Memory (LSTM) network architecture with Convolutional Neural Networks (CNN). On the CICDDoS2019 dataset, which included several DDoS attack versions, the suggested model was trained and evaluated. …”
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Prediction of Charging Requirements for Electric Vehicles Based on Multiagent Intelligence by Shuai Ling, Xiang Zhu, Qing Wang, Paul Schonfeld

“…This is done using multiagent-based simulations applied to the National Household Travel Survey (NHTS) 2017 dataset. The results are analyzed according to different key indicators, mainly indicating (a) the limitations of the time-of-use (TOU) pricing strategy in reducing the peak-valley difference, (b) the transferability of charging demand among different functional areas, and (c) that there is less demand for charging piles in the workplace, as users mainly rely on home charging. …”
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Lip print‐based identification using traditional and deep learning by Wardah Farrukh, Dustin van derHaar

“…This article compares traditional and deep learning computer vision methods and how they perform on a common dataset for lip‐based identification. The first pipeline is a traditional method with Speeded Up Robust Features with either an SVM or K‐NN machine learning classifier, which achieved an accuracy of 95.45% and 94.31%, respectively. …”
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TaxiInt: Predicting the Taxi Flow at Urban Traffic Hotspots Using Graph Convolutional Networks and the Trajectory Data by Jinmao Zhang, Huanchang Chen, Yiming Fang

“…The experiments carried on a real taxi dataset showed the validity of our model. It can predict the taxi flow at a given urban intersection with high accuracy.…”
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Facial Lichen Planus Pigmentosus-Like Pigmentation Induced by Vicks VapoRub: A Case Report by Al-Husain KM, Alsebayel MM, Al-Breiki S, Almulhim N, Alsayyah A

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Geometrical-Feature-Preserving Adjoint Tomography of Near-Surface Structure with Seismic Early Arrival by Chao Zhang, Cheng Li, Jian Cai

“…The application to a real dataset indicates that this new solution can recover more details in the shallow structure, especially in the aspect of dealing with hidden layers.…”
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Universal slip detection of robotic hand with tactile sensing by Chuangri Zhao, Yang Yu, Zeqi Ye, Ziyang Tian, Yifan Zhang, Ling-Li Zeng

“…First, we constructed a dataset collected during the grasping of common objects from daily life across six grasp types, comprising more than 200 k data points. …”
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The Effect of Antenna Place Codes for Reducing Sidelobes of SIAR and Frequency Diverse Array Sensors by Pourya Yaghoubi Aliabad, Hossein Soleimani, Mohammad Soleimani

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ATBHC-YOLO: aggregate transformer and bidirectional hybrid convolution for small object detection by Dandan Liao, Jianxun Zhang, Ye Tao, Xie Jin

“…Comparison experiments on the DIOR and VEDAI datasets validate the effectiveness and robustness of the improved method. …”
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