Mining Potential Spammers from Mobile Call Logs by Zhipeng Liu, Dechang Pi, Yunfang Chen

“…With the rapid development of mobile telecommunication, voice call spam has become a growing problem in China. …”
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Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current by Pengwei Wang, Bingyin Xu, Tony Yip, Dong Liang, Guofeng Zou

“…The analysis of the recorded data from staged tests in a real test network reveals the development patterns of THIEFs and their zero-sequence characteristics during the fault process. …”
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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

“…The main objective of the proposed optimal weighting-based CNN-LSTM-SVM (OCLS) hybrid classifier is to simultaneously leverage the unique advantages of CNN in feature extraction from input signals, LSTM in modeling the sequential patterns of signals, SVM in classifying regular patterns, and especially the proposed weighting algorithm to optimally integrate the outputs of these components. …”
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Informal Settlements Extraction and Fuzzy Comprehensive Evaluation of Habitat Environment Quality Based on Multi-Source Data by Zanxian Yang, Fei Yang, Yuanjing Xiang, Haiyi Yang, Chunnuan Deng, Liang Hong, Zhongchang Sun

“…The study demonstrates that: (1) texture features from the gray level co-occurrence matrix (GLCM) significantly improved the classification of informal settlements, with the random forest classification model achieving a kappa coefficient above 0.77, an overall accuracy exceeding 0.89, and F1 scores above 0.90; (2) informal settlements exhibited two primary development patterns: gradual expansion near formal residential areas and dependence on natural resources such as farmland, forests, and water bodies; (3) economic vitality emerged as a critical factor in improving the living environment, while social, natural, and residential conditions remained relatively stable; (4) the proportion of highly suitable and moderately suitable areas increased from 65.62% to 65.92%, although the overall improvement in informal settlements remained slow. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…A temporal convolution network captures temporal dependencies within the extracted action features, distinguishing between actions with similar spatial characteristics but distinct temporal patterns. …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Additionally, we developed a hybrid deep learning model integrating RegNet and FBNet architectures to enhance feature extraction and classification performance. …”
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An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…Abstract The fast development of social media platforms has led to an unprecedented growth of daily short text content. …”
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Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology by Fei DONG, Di ZHANG, Kunpeng GE, Junjie CHEN, Xinyue XU

“…Firstly, the collected bearing vibration signals are processed, and it uses continuous wavelet transform to decompose the original vibration signals and extract two-dimensional time-frequency images; secondly, to adaptively extract deep features from both the source and target domains, the pre-trained and fine-tuning approaches are employed for convolutional neural networks transfer learning, and it constructs a transfer convolutional neural network model to achieve adaptive extraction of deep features from both domains; then, a new supervised domain adaptation method is proposed, integrating dynamic joint distribution adaptation with enhanced separability, to further reduce the distribution differences between deep feature sets of the source and target domains while effectively enhancing the separability of feature data; finally, a patterns recognition classifier is trained based on the source domain features after domain adaptation, which achieves fault patterns recognition in the target domain. ② Hoist main bearing fault knowledge reasoning based on ontology. …”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…We conclude that continued development of deep learning-based feature tracking approaches for glacier velocity computations may substantially improve UAV-based velocity derivations applied to challenging situations. …”
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Reading the works of Verism through the magazines and critics of XIXth century. Text editions, lexical maps and thematic dictionaries in a user-oriented portal by Denise Bruno, Giuseppe Canzoneri, Salvatore Cristofaro, Antonio Di Silvestro, Laura Mazzagufo, Daria Spampinato

“…The focus is on the creation of a hybrid edition-archive, or knowledge site, where textual reading is complemented by both synchronic and diachronic data analysis. A central feature is the development of a lexical map, the Verbum dictionary, that links secondary literature on Verismo to primary sources through an interactive timeline (Ver-in-time). …”
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Text-mining metadata: What can titles tell us of the history of modern and contemporary art? by Mike Bowman

“…The use of topic modelling, parts-of-speech tagging and word counting allows me to identify large-scale and long-run patterns in the language used in the titles of those artworks. …”
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Discriminative graph regularized representation learning for recognition. by Jinshan Qi, Rui Xu

“…Specifically, DGRL first integrates dimension reduction into ridge regression rather than treated them as two irrelevant steps, which enables us to capture the underlying subspace structure and correlation patterns among classes. Additionally, a graph regularizer that fully utilizes the local class information is developed and introduced to the new framework so as to enhance the classification accuracy and prevent overfitting. …”
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Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI by Yanan Li, Jingfa Yao, Wenhui Yang, Zhao Wei, Peng Luan, Guifa Teng

“…This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. …”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…Abstract Background Multi-functional therapeutic peptides have emerged as promising candidates in drug development and disease diagnosis due to their biocompatibility, targeting capability, and low immunogenicity. …”
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Hermeneutics and its New Tendencies: to the Question of Aesthetic Paradigm Change by N. F. Shcherbak

“…The work examines the main vector of development of contemporary literary and hermeneutics studies. …”
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Fatigue Resistance of Asphalt Concrete Pavements. Peculiarity and Assessments of Potentials by Zhongyu Li, Tingguo Liu, Jicun Shi, Uladzimir Veranko, Vitali Zankavich

“…This situation is a significant feature of the behaviour of asphalt concrete, which opens the way for the development of certain approaches to the analysis of their properties, evaluation of reliability and durability. …”
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LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis. by Perseverence Savieri, Lara Stas, Kurt Barbé

“…This paper details the development and features of LiMMCov, demonstrates its application with an example dataset, and discusses its potential impact on research. …”
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Pedagogical models of blended learning: On the experience of Russian and foreign practice of design and implementation by T. Yu. Pletyago, A. S. Ostapenko, S. N. Antonova

“…This blend is considered a trigger for innovative development of higher education worldwide due to its adequate adaptive personalised professional training for students. …”
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Classification of power grip and precision grip in children using an EIT-based tactile sensor by Ryunosuke Asahi, Shumpei Toriyama, Yasuyo Minagawa, Shunsuke Yoshimoto, Hiroki Sato

“…The average classification accuracy exceeded 85% for both feature types, surpassing the chance level of 50%. …”
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From the Ocean to the Gulf: One Region’s Identity in the Context of Neomodernity by V. A. Kuznetsov

“…The first pattern considers the WANA region in a traditional modernist sense as the Middle East, whereas the second one accentuates its premodern features and conceptualizes it as part of the Islamic world. …”
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