Wine and cultural heritage. The experience of the Alto Douro Wine Region by Lina Lourenço-Gomes, Lígia M.C. Pinto, João Rebelo

“…During recent decades, both activities have witnessed deep and structural changes, with consequences for the maintenance of the traditional characteristics of the cultural landscape that drove the UNESCO classification. With this issue in mind, the goal of this paper is to describe the recent evolution of the main economic activities of the Demarcated Douro Region. …”
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Ancient Character Recognition: A Comprehensive Review by R. Krithiga, S. R. Varsini, R. Gabriel Joshua, C. U. Om Kumar

“…The complexity of the task lies in the precise classification of the age-old Tamil letters (Vattezhuthu) into modern-day Tamil letter structures. …”
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Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis by Kun Zheng, Hong-Seng Gan, Jun Kit Chaw, Sze-Hong Teh, Zhe Chen

“…Notably, in underwater target recognition tasks, MGGDIPE achieves a classification accuracy of 97.5% across four types of acoustic signals, substantially surpassing the performance of MDE (70.5%) and MPE (62.5%). …”
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A compositional model for effort‐aware Just‐In‐Time defect prediction on android apps by Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino

“…In general, high‐quality features are benefits for improving the classification performance. In addition, the number of defective commit instances is much fewer than that of clean ones, that is the defect data is class imbalanced. …”
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Application of machine learning-based post-processing to improve crowd-sourced urban rainfall categorizations by Mohammad Ashar Hussain, Venkatesh Budamala, Rajarshi Das Bhowmik

“…However, crowdsourcing often suffers from inaccuracies in rainfall classification due to inadequately trained participants. …”
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Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

“…The model represented in the first row of the table, which excludes all four modules, is equivalent to the Rough Part, showing an average decrease of 24.9%.ConclusionsTo address the issue of insufficient predicate representation, a scene graph generation method based on a Rough-and-Refine network is proposed. …”
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The Effect of Landscape Pattern on Urban Temperature Changes in Hamadan by Marziye Shojaei, Kamran Shayesteh, Behnaz Attaeian

“…To analyze the variation of landscape patterns within the area, surface temperature variations were calculated based on the classification results, a set of landscape metrics (including composition and configuration) within the heat islands and heat sinks. …”
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A dream EEG and mentation database by William Wong, Rubén Herzog, Kátia Cristine Andrade, Thomas Andrillon, Draulio Barros de Araujo, Isabelle Arnulf, Somayeh Ataei, Giulia Avvenuti, Benjamin Baird, Michele Bellesi, Damiana Bergamo, Giulio Bernardi, Mark Blagrove, Nicolas Decat, Çağatay Demirel, Martin Dresler, Jean-Baptiste Eichenlaub, Valentina Elce, Steffen Gais, Luigi De Gennaro, Jarrod Gott, Chihiro Hiramatsu, Bjørn Erik Juel, Karen R. Konkoly, Deniz Kumral, Célia Lacaux, Joshua J. LaRocque, Bigna Lenggenhager, Remington Mallett, Sérgio Arthuro Mota-Rolim, Yuki Motomura, Andre Sevenius Nilsen, Valdas Noreika, Delphine Oudiette, Fernanda Palhano-Fontes, Jessica Palmieri, Ken A. Paller, Lampros Perogamvros, Antti Revonsuo, Elaine van Rijn, Serena Scarpelli, Monika Schönauer, Sarah F. Schoch, Francesca Siclari, Pilleriin Sikka, Johan Frederik Storm, Hiroshige Takeichi, Katja Valli, Erin J. Wamsley, Jennifer M. Windt, Jing Zhang, Jialin Zhao, Naotsugu Tsuchiya

“…Each awakening consists, at minimum, of sleep M/EEG ( ≥ 20 s, ≥100 Hz, ≥2 electrodes) up to the time of waking and a standardized dream report classification of the subject’s experience during sleep. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…This results in incompleteness and generalization issues in feature extraction and action classification processes. …”
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A GIS-Based Approach to Soil Erosion Risk Assessment Using RUSLE: The Case of the Mai Nefhi Watershed, Barka River Basin, Eritrea by Tsegay Bereket Menghis, Pandi Zdruli, Endre Dobos

“…Soil erosion is a significant environmental issue that threatens the stability of land and agricultural productivity. …”
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Understanding Logical-Shift Error Propagation in Quanvolutional Neural Networks by Marzio Vallero, Emanuele Dri, Edoardo Giusto, Bartolomeo Montrucchio, Paolo Rech

“…Quanvolutional neural networks (QNNs) have been successful in image classification, exploiting inherent quantum capabilities to improve performance of traditional convolution. …”
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Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction by Hagar G. Abu-Faty, Ahmed Kafafy, Mohiy M. Hadhoud, Osama Abdel-Raouf

“…Abstract Employee churn is a critical issue for companies and organizations, as it directly impacts productivity, efficiency, and overall operational success. …”
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The Proportion of Acute Transfusion Reaction at Outpatient Blood Transfusion Unit In Tertiary Hospital in Indonesia by Ahmad Fariz Malvi Zamzam Zein, Lugyanti Sukrisman

“…Acute transfusion reaction (ATR) is an important issue related to patient safety. The prevalence of ATR at tertiary hospital in Indonesia is 0.5%. …”
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Method of Diagnosing Sarcopenia in Morbidly Obese Patients by O. V. Galimov, V. O. Khanov, A. G. Safargalina, D. E. Baikov, M. M. Khafizov, F. R. Nagaev

“…The prevalence and severity of sarcopenia vary depending on the classification criteria and thresholds used. Since a unified diagnostic method is yet to be developed, it is necessary to continue research into this issue, and introduce sarcopenia detection, prevention, and correction techniques into widespread clinical practice. …”
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Bias-aware degradation models for reinforced concrete bridges based on XAI by Francesca Marsili, Filippo Landi, Rade Hajdin, Sylvia Kessler

“…This work addresses this issue by developing a composite analysis based on explainable artificial intelligence techniques to analyze condition data and derive degradation models for existing bridge components. …”
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Enhancing access to rainwater harvesting in regions with saline groundwater by Harish Puppala, Manoj Kumar Arora, Pranav R. T. Peddinti, Jagannadha Pawan Tamvada, Kousik Das

“…Abstract Rooftop Rainwater Harvesting (RRWH) offers a viable solution to the pressing issue of saline groundwater in regions like Ainavolu, a village in Andhra Pradesh, India. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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Influence of hospital wastewater on the development of antimicrobial resistance by Hend M. Radwan, Nagwan G. El Menofy, Sahar M.R. Radwan

“…Resistance to antimicrobial agents is a developing issue that requires calls for an integrated strategy from all nations. …”
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Relative frequency of headache types: a longitudinal study in the tertiary care by Ariovaldo Alberto da Silva-Júnior, Bruno Engler Faleiros, Tales Michel dos Santos, Rodrigo Santiago Gómez, Antônio Lúcio Teixeira

“…In Brazil, there were no studies using this methodology published after the publication of the latest issue of the International Classification of Headaches in 2004 - ICHD-2. …”
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Rolling Based on Multi-Source Time–Frequency Feature Fusion with a Wavelet-Convolution, Channel-Attention-Residual Network-Bearing Fault Diagnosis Method by Tongshuhao Feng, Zhuoran Wang, Lipeng Qiu, Hongkun Li, Zhen Wang

“…However, when dealing with non-stationary and noisy vibration signals, traditional fault diagnosis methods are often constrained by limited feature characterization from single time–frequency analysis and inadequate feature extraction capabilities. To address this issue, this study proposes a lightweight fault diagnosis model (WaveCAResNet) enhanced with multi-source time–frequency features. …”
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