Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…DLPIM introduces a feature encoder-based generator with a 4-headed self-attention mechanism and a Crop Growth Rate (CGR) guided temporal processor to capture complex time-series patterns while maintaining physiological consistency. …”
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Music Similarity Detection Through Comparative Imagery Data by Asli Saner, Min Chen

“…We tested the trained model with legally verified data as well as AI-generated music, confirming that the models produced with our approach can detect similarity patterns which are typically associated with music plagiarism. …”
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Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis by Nhat-Duc Hoang, Quoc-Lam Nguyen, Xuan-Linh Tran

“…The proposed approach includes image texture computation for image feature extraction and a piecewise linear stochastic gradient descent logistic regression (PL-SGDLR) used for pattern recognition. …”
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Source-sink system analysis and sedimentary model of Cretaceous Yageliemu Formation in Xinhe area, northern Tarim Basin by HAO Jianlong, YANG Yufang, LI Shuai, ZHANG Li, MENG Luying, BI Xiaolong, YANG Qinchao

“…The geological distribution pattern of favorable reservoirs in clastic rocks is a key challenge restricting efficient exploration and development. …”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

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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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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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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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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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Sign language recognition method based on deep learning by He Mu

“…Sign language recognition, as an interdisciplinary field involving computer vision, pattern recognition, and natural language processing, holds profound research significance and extensive application value. …”
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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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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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Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

“…TriNet comprises three specialized branches: ImgNet for spatial features extraction from images, POINet for functional density distribution features extraction from POI data, and TrajNet for spatiotemporal pattern features extraction from OD data. …”
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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…With the development of sensor technology, the sources of remotely sensed image data for the same region are becoming increasingly diverse. …”
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RADIATION DIAGNOSIS OF RARE FORMS OF RESPIRATORY ORGAN SARCOIDOSIS by A. A. Speranskaya, O. P. Baranova, M. A. Vasilyeva, I. V. Amosov

“…In single cases, the CT pattern combined the features incompatible with the generally accepted classification (Stages 1 and 4 SRO); this was an offstage form. …”
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Fabrication of Large-Area High-Resolution Templates by Focused Ion Beam Combined with Colloidal Nanoparticle Dimer Deposition for SERS Substrates by Liga Ignatane, Reinis Ignatans, Juris Prikulis, Annamarija Trausa, Ciro Federico Tipaldi, Edgars Vanags, Martins Zubkins, Krisjanis Smits, Anatolijs Sarakovskis

“…The pattern creation on glass was developed with the aim of studying potential surface-enhanced Raman spectroscopy (SERS) applications. …”
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Spatial Coupling Characteristics of Ecosystem Services and Residents' Well- Being at Mining Area of Loess Plateau in Western Shanxi Province by Xiuqin Liang, Qiang Feng, Baoling Duan

“…[Results] ① The spatial pattern of ecosystem service value showed high in the east and low in the west with obvious difference between the east and the west. ② The spatial pattern of residents' well-being showed low in the middle and high in the east and west. ③ The spatial distribution of coupling coordination degree showed a feature of high in the east and low in the west with coordination state being the main factor, good coordination accounted for 58.9%. ④ The spatial difference of coupling coordination degree was affected by many factors, among which land use degree, vegetation cover degree and average annual precipitation were the main influencing factors, and the interaction between vegetation cover degree, land use degree and other factors had a greater impact on the coupling coordination degree. …”
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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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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The results establish practical viability for industrial condition monitoring applications through robust feature extraction and reliable fault pattern recognition.…”
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GeoViT: Mixed-Scale Transformer for Perspective Correction in Print-Cam Image Watermarking by Said Boujerfaoui, Anass Mancour-Billah, Hassan Douzi, Rachid Harba

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