Comparative Seed Morphology of Eight Allium L. Species from Sections Codonoprasum and Scorodon by Özge Vatandaşlar, Mine Koçyiğit

“…For this reason, different characters are used to solve taxonomic problems and clearly identify species. One of these characteristics is the micromorphological characteristics of the seed. …”
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IW Extraction From SAR Images Based on Generative Networks With Small Datasets by B. Saheya, Xia Ren, Maoguo Gong, Xiaofeng Li

“…The main contributions are as follows: first, to address the scarcity of IW image data, this study proposes a framework that requires only four images as the training set, providing a novel approach to the problem of data scarcity. Second, to address the elongated features of IW crests, this study proposes a novel downsampling method that preserves the crest features during the downsampling process. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…The significant features of healthcare are the privacy of medical details and the accuracy of disease identification. …”
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Effective Characterization of Fractured Media With PEDL: A Deep Learning‐Based Data Assimilation Approach by Tongchao Nan, Jiangjiang Zhang, Yifan Xie, Chenglong Cao, Jichun Wu, Chunhui Lu

“…In these cases, we systematically compare PEDL with three widely used DA methods: ensemble smoother with multiple DA (ESMDA), iterative local updating ES (ILUES), and ES with DL‐based update (ESDL). Notably, in the problems characterized by highly non‐Gaussian features, ESMDA and ILUES produce significantly divergent results. …”
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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

“…Most of the current methods only learn embedding representations for feature branches, do not take into account the semantic relevance between features and labels, and lack effective constraints on the feature embedding space, which leads to insufficient relevance of the learnt feature embeddings. …”
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Investigating automated accounting and auditing in the Blockchain platform with a fuzzy Delphi approach by Payam Noori Doabi, Fereydon Rahnamay Roodposhti, Hamidreza Kordlouie, Hashem Nikoomaram, Ghodratollah Talebnia

“…On the other hand, the accounting and auditing profession is also very susceptible to automatic and ready to accept it.Originality/Value: The subject under investigation is one of the new topics in future research and foresight. The features, changes, and facilities that automated accounting and auditing bring to the blockchain platform all add to the importance and necessity of doing research.…”
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Intrusion Detection Using Hybrid Pearson Correlation and GS-PSO Optimized Random Forest Technique for RPL-Based IoT by Wei Yang, Xinlong Wang, Zhiming Zhang, Shaolong Chen, Chengqi Hou, Siwei Luo

“…First, a novel routing attacks dataset that covers four RPL routing attack types is constructed through simulation on the Cooja IoT platform. And we develop feature extraction algorithms for dataset to extract 24 features implementing in IDS model training. …”
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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…Initially, the ADD-MSGOEL method utilizes contrast enhancement (CLAHE) to enhance the image quality. Next, the features are extracted using the Dilated Convolution Block Attention Module with EfficientNet (DCBAM-EfficientNet) module, which derives the intrinsic and complex features. …”
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ERNIE-TextCNN: research on classification methods of Chinese news headlines in different situations by Yumin Yan

“…Facing the public’s demand for “quick browsing,” Chinese news headlines, characterized by their extremely short text, suffer from limited information, sparse features, and high ambiguity. To rapidly extract deep features from news headlines and enhance the classification performance of extremely short Chinese news headlines, we delve into the inherent characteristics of news headline data, focusing on multi-domain news classification problems and studying datasets of different scales. …”
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Section Recommendation of Online Medical Platform Based on Keyword Expansion with Self-Adaptive-Attention-Prompt-BERT-RCNN Modeling by Tianbao Xie, Yuqi Han, Ganglong Duan, Siyu Yang, Shaoyang Zhang, Yongcheng Shao

“…A short text classification method combining the keyword expansion technique and a deep learning model is constructed to solve the problems of feature sparsity and semantic ambiguity in short text classification. …”
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Research on 3D modeling of underground roadways in coal mines by LIAN Boxiang, MI Langtao, LI Shangjie, GUO Jiyao

“…However, in underground environments with sparse geometric features, there exist problems such as insufficient point cloud registration accuracy and low efficiency. …”
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3D reconstruction from 2D multi-view dental 2D images based on EfficientNetB0 model by Waleed Mohamed, Nermeen Nader, Yasmin M. Alsakar, Naira Elazab, Mohamed Ezzat, Mohammed Elmogy

“…The first stage is the encoder stage, which extracts meaningful features from the 2D images. The second stage captures spatial and semantic information essential for the reconstruction task. …”
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Breast calcifications. Literature review by O. S. Khodorovich, V. A. Solodkiy, V. O. Kleshneva, T. V. Sherstneva, K. V. Ishchenko

“…The problem was considered from the mechanism of formation and morphological features of calcifications in the breast tissue to their radiographic assessment on mammographic images. …”
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FASI-Net: Frequency-Domain Information Assisted Semantic Interaction Network for Bitemporal Remote Sensing Images Change Detection by Fenglei Chen, Haijun Liu, Zhihong Zeng, Xiaoheng Tan

“…To address the abovementioned problems, this article proposes a frequency-domain information assisted semantic interaction network (FASI-Net) to ensure the effective extraction of crucial semantic information in the original bitemporal features. …”
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Assessment of the Proportion of Men in the Number of Teaching Staff in Schools by Yu. S. Pinkovetskaya

“…The purpose of the study. One of the urgent problems of the development of the regions of Russia is to increase the efficiency of regional systems of general secondary education. …”
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INTEGRATION OF INTRADISCIPLINARY TOPICS AND GEOGRAPHY IN THE TEACHING PROCESS OF TECHNOLOGY by M. S Kazimov

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“Flemish Legends” by Charles de Coster. The Peculiarities of the Traslations into Dutch by O. M. Zhuravleva, L. A. Ulianitckaia, A. A. Shumkov

“…For collating the translations the comparative method is used, taking into account the lexical, grammatical and stylistic features of the analyzed texts.Results and discussion. …”
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GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition by Adnan Saeed, Khurram Shehzad, Shahzad Sarwar Bhatti, Saim Ahmed, Ahmad Taher Azar

“…This network uses two branches to extract image features at different resolutions for fusion, thereby expanding the network receptive field. …”
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THE PECULIARITIES OF THE U. S. HIGHER EDUCATION DEVELOPMENT STRATEGY IN THE CONTEXT OF CURRENT CONDITIONS by Olga I. Fomina

“…The author singles out and proves the problems of the US higher school caused by an economic crisis in the early 21st century and essentially affected the state strategy in educational management sphere and the corporate policy of high schools, taking into consideration the inescapable fact that features of the US higher education system are caused by aspiration of this state to hold the leading positions in the world community. …”
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YOLO-DKM: A Flame and Spark Detection Algorithm Based on Deep Learning by Linpo Shang, Xufei Hu, Zijian Huang, Qiang Zhang, Zhiyu Zhang, Xin Li, Yanzuo Chang

“…And integrate DSConv into the C2f module, relying on dynamic characteristics to adaptively adjust convolution operations according to different scene features for more flexible local region feature extraction, capturing local features of flames and sparks. …”
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