Scale, state and the city: Transformation of Diyarbakır, Suriçi region through the framework of spatial morphology and urban resilience by Berfin Eren, Mehmet Emin Şalgamcıoğlu

“…Examining resilience at the urban scale through the street networks of different historical periods, produced via space syntax analysis, facilitates the formulation and analysis of patterns in urban movement, interactions, and past socio-economic activities. …”
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Gaussian-UDSR: Real-Time Unbounded Dynamic Scene Reconstruction with 3D Gaussian Splatting by Yang Sun, Yue Zhou, Bin Tian, Haiyang Wang, Yongchao Zhao, Songdi Wu

“…To address dynamic appearance variations, we introduced a Gaussian color feature prediction network, which adaptively captures global and local feature information, enabling robust rendering under changing lighting conditions. …”
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Expression of cell-wall related genes is highly variable and correlates with sepal morphology by Hartasánchez, Diego A., Kiss, Annamaria, Battu, Virginie, Soraru, Charline, Delgado-Vaquera, Abigail, Massinon, Florian, Brasó-Vives, Marina, Mollier, Corentin, Martin-Magniette, Marie-Laure, Boudaoud, Arezki, Monéger, Françoise

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Enhancing LoRa-Based Outdoor Localization Accuracy Using Machine Learning by Nur Kelesoglu, Marzena Halama, Anna Strzoda

“…We further propose a Hybrid Model that combines convolutional feature extraction with gradient-boosted regression. …”
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A Methodological Study on Improving the Accuracy of Soil Organic Matter Mapping in Mountainous Areas Based on Geo-Positional Transformer-CNN: A Case Study of Longshan County, Hunan... by Luming Shen, Yangfan Xie, Yangjun Deng, Yujie Feng, Qing Zhou, Hongxia Xie

“…Furthermore, this model is integrated with a 1D-CNN to form a dual-branch neural network called the Geo-Positional Transformer-CNN (GPTransCNN). …”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…This paper presents a novel Deep Learning Precision Imputation Model (DLPIM) based on a generative adversarial network (GAN) architecture to recover missing agricultural data in IoT-based hydroponic monitoring systems. …”
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Innovation Ecosystem of Iran's Tourism Industry with Emphasis on Supply Chain by Azizolah Jafari, mahdi alaei kerahrudi

“…DMS create intranet networks for local operators to input data, organize products for online sales, and provide accessible tourism offers to tourists. …”
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Modified LUO High Gain DC-DC Converter With Minimal Capacitor Stress for Electric Vehicle Application by J. Divya Navamani, A. Geetha, Dhafer Almakhles, A. Lavanya, Jagabar Sathik Mohamed Ali

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Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images by Lekha S. Nair, K. R. Amarnath, Jyothisha J. Nair

“…To enhance feature representation in convolutional neural networks, we introduced an improved convolutional block, termed the SE-Res-Conv Block, which incorporates Squeeze-and-Excitation (SE) attention mechanisms within a residual convolutional framework. …”
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Sustainable Polyurethane-Based Polymer Concrete: Mechanical and Non-destructive Properties with Machine Learning Technique by S. I. Haruna, Han Zhu, Yasser E. Ibrahim, Jian Yang, AIB Farouk, Jianwen Shao, Musa Adamu, Omar Shabbir Ahmed

“…Moreover, scanning electron microscopy (SEM) was employed to evaluate the microstructure of PUC. Feature selection tools were used to explore optimal input variables for estimating the (f c) of the PUC samples. …”
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Non-Coding RNAs: lncRNA, piRNA, and snoRNA as Robust Plasma Biomarkers of Alzheimer’s Disease by Ruomin Xin, Elizabeth Kim, Wei Tse Li, Jessica Wang-Rodriguez, Weg M. Ongkeko

“…Weighted gene co-expression network analysis (WGCNA) identified multiple ncRNA modules associated with the AD phenotype. …”
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BACH: A Tool for Analyzing Blockchain Transactions Using Address Clustering Heuristics by Michele Caringella, Francesco Violante, Francesco De Lucci, Stefano Galantucci, Matteo Costantini

“…BACH introduces the innovative feature of visualizing the internal structure of clusters in a graphical format. …”
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ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation by Javier Noa Turnes, Mingzhe Jiang, Saeid Taleghanidoozdoozan, Linlin Xu, David A. Clausi

“…We evaluate the method by classifying ice and water on dual-polarized RADARSAT-2 scenes. …”
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Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning by Qingfeng Ruan, Delu Pan, Difeng Wang, Xianqiang He, Fang Gong, Qingjiu Tian

“…This study aims to enhance the prediction of marine Chl-a concentrations by introducing the chlorophyll-a concentration prediction model (ChlaPM), which was developed on the basis of a convolutional long short-term memory (ConvLSTM) network. The model integrates recent spatiotemporal feature extraction (RSTFE), periodic feature extraction (PFE), and denoising fusion (DNF) modules to effectively capture short-term spatiotemporal changes and periodic variations in Chl-a concentrations. …”
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Cancelable finger vein authentication using multidimensional scaling based on deep learning by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif

“…Our method addressed the limitations of previous biometric authentication systems by integrating MDS with a lightweight convolutional neural network (CNN) model for feature extraction. The cancelable approach ensured privacy and security by generating distinct templates for each user. …”
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Phenolics from <i>Ilex rotunda</i> Possess Antioxidative Effects and Block Activation of MAPK and NF-κB Signaling by Inhibiting IL-2 Production in CD3/CD28 Activated Jurkat T Cells... by Ducdat Le, Vinhquang Truong, Thinhulinh Dang, Soojung Yu, Thientam Dinh, Mina Lee

“…This study aimed to investigate phenolic constituents from enriched fractions guided by a total phenolic assay along with a feature-based molecular network. Nine compounds were isolated and identified using multiple chromatography and spectroscopic techniques. …”
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Comparison of spatial transcriptomics technologies using tumor cryosections by Anne Rademacher, Alik Huseynov, Michele Bortolomeazzi, Sina Jasmin Wille, Sabrina Schumacher, Pooja Sant, Denise Keitel, Konstantin Okonechnikov, David R. Ghasemi, Kristian W. Pajtler, Jan-Philipp Mallm, Karsten Rippe

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Fast Bayesian inference for neutrino non-standard interactions at dark matter direct detection experiments by Dorian W P Amaral, Shixiao Liang, Juehang Qin, Christopher Tunnell

“…We expect that these advancements are broadly applicable to other areas of astroparticle physics featuring multi-dimensional parameter spaces.…”
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Early Diagnosis of Alzheimer&#x2019;s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…The approach integrates the Adaptive Moving Self-Organizing Map (AMSOM), a neural network technique for unsupervised training and tissue segmentation, with K-means clustering and Principal Component Analysis (PCA) for feature selection. …”
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Construction and value of a vestibular function calibration test recognition model based on dual-stream ViT and ConvNeXt architecture by Xu LUO, Peixia WU, Weiming HAO, Yinhong QU, Han CHEN

“…MethodsA vestibular function calibration test recognition model with cross-modal feature fusion was constructed by integrating vision transformer (ViT) and a modified ConvNeXt convolutional network. …”
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