TRENDS IN HUMAN CAPITAL FORMATION AND EVALUATION OF THE INTERCONNECTION OF SOCIO-DEMOGRAPHIC PROCESSES IN RURAL AREA: A CASE STUDY OF VOLYN REGION, UKRAINE by Tetiana SHMATKOVSKA, Mykola DZIAMULYCH, Antonina GORDIICHUK, Nataliia MOSTOVENKO, Natallia CHYZH, Tetiana KOROBCHUK

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Indonesian Banking Stock Portfolio Optimization Based on Ridge Regression Prediction by Moch Panji Agung Saputra, Deva Putra Setyawan, Alim Jaizul Wahid

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RESOURCE USE EFFICIENCY OF TEMPERATE SILK COCOONS IN NORTH-WESTERN HIMALAYAN REGION OF KASHMIR VALLEY, JAMMU AND KASHMIR, INDIA by Ruyida MUSHTAQ, Tariq Ahmed RAJA, Abida FAYAZ, Harmeet SINGH, Pervez AHMED, Mushtaq Rasool MIR, Rajesh YADAV

“…The primary goal of this research was to determine the socioeconomic features of silk worm rearers, as well as to analyze and assess the resource use pattern of silk cocoon in Kashmir valley. …”
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APPLICATION OF MARKET BASKET ANALYSIS ON HAJI UMAR STORE’S SALES DATA USING THE APRIORI ALGORITHM by Salsabilla Sadedin Nasution, Aninda Muliani Harahap, Adnan Buyung Nasution

“…To implement the Product Recommendation Feature, the study utilizes market basket analysis, a method used to examine consumer purchasing patterns. …”
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Historical commentary in the Russian language lesson as a pedagogical genre by Konstantin A. Kalinin

“…Historical commentary on linguistic facts and patterns helps to understand the cause-and-effect relationships of those phenomena, the study of which is impossible without referring to the history of the development of the Russian language. …”
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Leveraging LSTM and ensemble classifiers for enhanced food waste classification by Khalaf Alsalem

“…The proposed feature extraction approach detects temporal patterns in feature data, improving the robustness of decisions and making this method suitable for waste classification applications. …”
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Electric vehicle charging station demand prediction model deploying data slotting by A.V. Sreekumar, R.R. Lekshmi

“…One major challenge associated with development of machine learning models is the inherent uncertainty in electric vehicle charging behaviour that includes variations in charging patterns, user preferences, and vehicle types. …”
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Music Similarity Detection Through Comparative Imagery Data by Asli Saner, Min Chen

“…In this paper, we present a technical solution for training music similarity detection models through the use of comparative imagery data. With the aid of feature-based analysis and data visualization, we conducted experiments to analyze how different music features may contribute to the judgment of plagiarism. …”
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Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows by Feifeng Jiang, Jun Ma

“…Applied to New York City, UVPN leverages diverse urban morphological features such as streetscape attributes and land use patterns to predict continuous vitality distributions. …”
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NEW STYLE OF THE CULTURAL HERITAGE by N. M. Mamedova

“…It is caused by deep-seated patterns of culture itself, increased integration in all spheres of society. …”
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A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

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Empirical Study of Differentiated Learning Using The Moodle Platform on Personalized Informatics Subjects in Vocational High Schools by Jajang Kusnendar, Deni Darmawan, Rusman Rusman, Indriyani Rachman

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Graph-text contrastive learning of inorganic crystal structure toward a foundation model of inorganic materials by Keisuke Ozawa, Teppei Suzuki, Shunsuke Tonogai, Tomoya Itakura

“…We present a contrastive learning of inorganic crystal structure (CLICS) for embedding the geometric concepts, which contrasts texts representing the contextual patterns of geometries with the crystal graphs. We demonstrate that the geometric concepts are integrally embedded on the CLICS feature space, through experiments of concept prediction from crystal graphs, similar structure search, and few-shot/imbalanced crystal structure classification.…”
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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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The linguistic foundations of the mediatization of communities in digital culture by Gábor Szécsi

“…As this study tries to highlight, this process involves a convergence of language use patterns between different communities in the sense of the convergence of imagery as a feature of electronic communication. …”
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A Deep Learning-Based Diagnostic Framework for Shaft Earthing Brush Faults in Large Turbine Generators by Katudi Oupa Mailula, Akshay Kumar Saha

“…A key innovation lies in the use of FFT-derived spectrograms from both voltage and current waveforms as dual-channel inputs to the CNN, enabling automatic feature extraction of time–frequency patterns associated with different SEB fault types. …”
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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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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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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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Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer by Nobuko Irie, Naoki Takeda, Yorifumi Satou, Kimi Araki, Masahiro Ono

“…Here, we introduce an integrative approach combining molecular biology and machine learning to elucidate Foxp3 transcriptional dynamics through flow cytometric Timer analysis. We have developed a convolutional neural network-based method that incorporates image conversion and class-specific feature visualisation for class-specific feature identification at the single-cell level. …”
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