Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Currently, during apple picking in complex environments, it is difficult to classify and identify the growth pattern of an apple and obtain information on its attitude synchronously. …”
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Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease by Ibrahim Abunadi

“…In this study, four proposed systems with different methodologies and materials for tracking the stages of AD development are presented. The first proposed system is to classify a data set using artificial neural networks (ANNs) and feed-forward neural networks (FFNN) based on the features extracted in a hybrid manner by using a combination of Local Binary Pattern (LBP), Discrete Wavelet Transform (DWT), and Gray Level Co-occurrence Matrix (GLCM) algorithms. …”
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GeNIS: A modular dataset for network intrusion detection and classificationZenodo by Miguel Silva, Daniela Pinto, João Vitorino, José Gonçalves, Eva Maia, Isabel Praça

“…The raw network packets were analyzed to generate labelled network flows, with the computation of statistical features to represent the traffic patterns of local and remote attackers, normal users and administrators, and background traffic of an enterprise computer network. …”
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Research on the Seismic Response Law of Complete Morphology of Butted Well Salt Cavern for Large-Scale Underground Energy Storage by Haitao Li, Dewen Zheng, Kang Li, Qiqi Wanyan, Lina Ran, Yanxia Kou, Song Bai, Jianan Wu, Jianchao Jia, Yunfei Wen, Yuanqing Wang, Hongyan Xing, Kuoyuan Zhu, Jingen Deng

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SPECIALIZED MAPPING OF CRUSTAL FAULT ZONES. PART 2: MAIN STAGES AND PROSPECTS by K. Zh. Seminsky

“…On the one side, the method requires time-consuming mass mea­surements and special processing of 'dumb' joints; on the other side, it provides for analyses of abundant jointing data, ensures a high level of detail in mapping of patterns of fault zones, reveals rank subordination of faults and helps to determine other specific features of fractures and faults. …”
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Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN by Yu Huang, Liangyuan Su

“…The current behavior pattern extraction methods in intrusion detection systems cannot fully extract information. …”
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Adaptive electricity consumption forecasting approach for universal environments by Shiqi Zhou, Saisai Ni, Yifeng Han, Zhekang Dong, Chun Sing Lai

“…Our model incorporates a joint loss function combining point and probability forecasting evaluations to accurately quantify online batch errors. It also features a buffer to store batch data showing pattern changes and dynamically adjusts weights to counteract concept drift. …”
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Transcriptome analysis reveals the sex-switching mechanism of juvenile hermaphroditism in silver pomfret (Pampus argenteus) by Yaya Li, Jiabao Hu, Chongyang Wang, Man Zhang, Youyi Zhang, Yuanbo Li, Mengke Tang, Chunlai Qin, Zukang Feng, Shanliang Xu, Xiaojun Yan, Xubo Wang, Haimin Chen, Yajun Wang

“…Heatmaps were generated to visualize gene expression patterns across developmental stages and samples. Sex hormones concentrations were measured using commercial assay kits to assess their role in gonadal differentiation. …”
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A Novel Deep Learning Model for Motor Imagery Classification in Brain–Computer Interfaces by Wenhui Chen, Shunwu Xu, Qingqing Hu, Yiran Peng, Hong Zhang, Jian Zhang, Zhaowen Chen

“…The proposed method includes a Dual-Branch Feature Extraction Module designed to capture both temporal features and spatial patterns across different scales. …”
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The spatiotemporal evolution and spatial effect of digitalization on urban land intensive use in the Yangtze River Economic Belt by Dan Shen, Yuanxiao Hong, Lindong Ma

“…We arrive at the following key conclusions: (1) Urban digitalization development is characterized by spatial heterogeneity; The pattern of development shifts from “multi-point” erratic distribution to “cluster” accumulation, and the degree of development in each city differs significantly. …”
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Regulation of ubiquitination in sepsis: from PAMP versus DAMP to peripheral inflammation and cell death by Yueying Li, Jiongyan Yu, Zhiwen Zeng, Weixiong Lin

“…Pathogen-associated molecular patterns (PAMP) and damage-associated molecular patterns (DAMP) induce strong immune responses and exacerbate inflammation by activating pattern recognition receptors (PRRs) in the host. …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

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The geopolitical environment impact of Arctic Passage on Eurasia: An analysis based on multi-factor geometric potential models by Chunjuan Wang, Dahai Liu, Haiyan Shan, Yuan Chi, Quanbin Wang, Ying Yu, Xiaoyang Yang

“…Meanwhile, it will provide a comprehensive reference for the development and utilization of the Arctic Passage about the geopolitical environment patterns.…”
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From LIKE/LOVE to habitual: the case of Mainland East and Southeast Asian languages by Fang Hongmei

“…The common human experience that if one likes/loves doing something, one tends to do it frequently renders it highly unlikely that this grammaticalization pattern is an areal feature confined to Mainland East and Southeast Asia.…”
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Divergent Photoperiodic Responses in Hypothalamic <i>Dio3</i> Expression and Gonadal Activity Between Offspring and Paternal Brandt’s Voles by Lewen Wang, Zhengguang Li, Ying Song, Ning Li, Xiao-Hui Liu, Dawei Wang

“…The postnatal development of gonadal glands in seasonal breeders, particularly small rodent species, is influenced by photoperiodic patterns. …”
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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

“…Furthermore, we designed an application that integrates keypoint visualizations with motion pattern classifications. This tool provides users with valuable feedback on their performance and includes a replay feature for self-assessment, helping lifters refine their technique and reduce the risk of injury.…”
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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

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Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer by Nobuko Irie, Naoki Takeda, Yorifumi Satou, Kimi Araki, Masahiro Ono

“…Furthermore, analysis of wild-type Foxp3 fluorescent Timer reporter mice at different ages uncovered distinct patterns of Foxp3 expression from neonatal to aged mice, highlighting prominent thymus-like features of neonatal splenic Foxp3 + T cells. …”
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IoT-Based Traffic Prediction for Smart Cities by Zhinong Miao, Qilong Liao

“…The implications for smart city development are substantial, as the model offers a robust solution for managing complex traffic patterns and enhancing real-time decision-making. …”
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Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: A systematic review on measurement properties by Leonard TF Ho, Vincent CH Chung, Charlene HL Wong, Irene XY Wu, Kun Chan Lan, Darong Wu, Jerry WF Yeung, Nevin L Zhang, Ting Hung Leung, Justin CY Wu

“…None of them was considered reliable or valid for guiding TCM pattern diagnosis. To support the evidence base of the standardization of TCM patterns in ICD-11, TCM diagnostic instruments should be developed and validated rigorously under the COSMIN guidelines. …”
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