Food hydrocolloids: Classification, functional properties and applications by N. V. Nepovinnykh, O. N. Petrova

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ATIS-Driven 3DCNet: A Novel Three-Stream Hyperspectral Fusion Framework with Knowledge from Downstream Classification Performance by Quan Zhang, Jian Long, Jun Li, Chunchao Li, Jianxin Si, Yuanxi Peng

Subjects: “…hyperspectral image classification…”
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GCF-DeepLabv3+: An Improved Segmentation Network for Maize Straw Plot Classification by Yuanyuan Liu, Jiaxin Zhang, Yueyong Wang, Yang Luo, Pengxiang Sui, Ying Ren, Xiaodan Liu, Jun Wang

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3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification by Jiayao Wang, Zhen Zhen, Yuting Zhao, Ye Ma, Yinghui Zhao

“…For tree species classification, the MSFB combined with the CNN models were used. …”
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GRSNet: An Ultra-Lightweight Neural Network for 3D Point Cloud Classification and Segmentation by Zourong Long, Gen Tan, You Wu, Hong Yang, Chao Ding

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Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN) by Nabila Henisaniyya, Citra Pertiwi, Anita Desiani, Ali Amran, Muhammad Arhami

Subjects: “…thyroid disease, classification, data mining, id3 algorithm, ann algorithm…”
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Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images by Attallah Youcef, Zigh Ehlem, Adda Ali Pacha

“…This study presents an advancedmethodology that uses an optimized 3D-2D CNNmodel for automatic mineral identification and classification. …”
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Intelligent garbage classification system based on improve MobileNetV3-Large by Yi Zhao, Hancheng Huang, Zhixiang Li, Huang Yiwang, Manjie Lu

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Skin Cancer Classification: A Transfer Learning Approach Using Inception-v3 by Yaarob Younus Al Badrani, Abbas Mgharbel

Subjects: “…Skin cancer classification, deep learning, Inception-v3, Transfer learning, skin lesions.…”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…Abstract This study aims to address the issues of accuracy and efficiency in sculpture image classification. Due to the diversity and complexity of sculpture images, traditional image processing algorithms perform poorly in capturing the sculptures’ intricate shapes and structural features, resulting in suboptimal classification and recognition performance. …”
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Fake and Real Tweet Classification Using a Pre-Trained GPT-3 Approach by Delveen Luqman Abd Alnabi

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Open Source Deep Learning Solutions for the Classification of MMS Urban 3D Data by M. La Guardia, A. Masiero, A. Masiero, V. Bonora, A. Alessandrini

“…Focusing on the specific case of autonomous driving vehicles, this work considers the problem of automatic segmentation and classification of urban point clouds. To be more specific, this paper considers a mixed approach, where, once properly removed ground points, 3D data segmentation is based on the Euclidean distance, whereas the classification of objects is based on a two-step procedure: first, PointNet++ is used for an initial soft-classification. …”
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Buccal Absorption of Biopharmaceutics Classification System III Drugs: Formulation Approaches and Mechanistic Insights by Rayan Sabra, Daniel Kirby, Vikram Chouk, Kleta Malgorzata, Afzal R. Mohammed

“…Buccal drug delivery emerges as a promising strategy to enhance the absorption of drugs classified under the Biopharmaceutics Classification System (BCS) Class III, characterized by high solubility and low permeability. …”
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Moving Object Classification Using 3D Point Cloud in Urban Traffic Environment by MingFang Zhang, Rui Fu, YingShi Guo, Li Wang

“…In this paper, we propose a novel approach for classifying moving objects into four classes of interest using 3D point cloud in urban traffic environment. Unlike most existing work on object recognition which involves dense point cloud, our approach combines extensive feature extraction with the multiframe classification optimization to solve the classification task when partial occlusion occurs. …”
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Efficient Markerless Motion Classification Using Radar by Changhyeon Eom, Sooji Han, Sabin Chun, Soyoung Joo, Jisu Yoon, Min Kim, Jongchul Park, Sanghong Park

“…This study proposes a novel method that uses radar for markerless motion classification by using effective features derived from micro-Doppler signals. …”
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A preliminary study on the classification of pediatric renal artery variations based on the computer-assisted surgical system by SHEN Jiaqi, XIA Nan, XU Ning, WANG Feifei, DONG Qian, HAO Xiwei

“…There were four types of renal artery variations, i.e., prehilar renal artery branch type (type Ⅰ), accessory renal artery type (type Ⅱ), hilar accessory artery type (type Ⅲ), and mixed type (type Ⅳ), accounting for 16.79%, 5.76%, 3.01%, and 0.50%, respectively. …”
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A novel three-way distance-based fuzzy large margin distribution machine for imbalance classification by Li Liu, Jinrui Guo, Ziqi Yin, Rui Chen, Guojun Huang

Subjects: “…Three-way decision…”
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Using Discriminant Analysis for Classification of Patient Status after Three Months from Brain Stroke by Saman Hussein Mahmood, Hoshamin Haji Khidir

“…In the practical part of the research we have built two models based on variable gender and model of both gender together by using stepwise method of discriminant analysis. After creating the three models we compared the results of the classification. …”
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Spectrogram-Based Arrhythmia Classification Using Three-Channel Deep Learning Model with Feature Fusion by Alaa Eleyan, Fatih Bayram, Gülden Eleyan

“…The proposed approach is extensively evaluated on two ECG datasets (MIT-BIH + BIDMC and MIT-BIH) with three and five classes, respectively. The experimental results demonstrate that the proposed approach achieves superior classification accuracy compared to existing algorithms in the literature. …”
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Evaluation of three classification systems for fractures of the distal end of the radius: Frykman, Universal and A.O. by Henrique Mansur, Leonidas Durval Gripp

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