Evaluation of the cold island effect of the urban parks in the main urban area of Wuhan from the perspective of supply and demand by Jufang Song, Yongxuan Qiao, Yihan Liu

“…Among these, the urban heat island effect has emerged as one of the most pronounced environmental concerns, presenting formidable challenges for urban planning in terms of sustainable development and environmental livability. In this process, the construction of urban parks is particularly susceptible to discrepancies between supply and demand.MethodsIn this study, urban parks with an area of more than 3hm2 in the main urban area of Wuhan were selected as research objects. …”
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Comparative analysis of visible and near-infrared (Vis-NIR) spectroscopy and prediction of moisture ratio using machine learning algorithms for jujube dried under different conditi... by Seda Günaydın, Necati Çetin, Cevdet Sağlam, Kamil Sacilik, Ahmad Jahanbakhshi

“…Also, the MR was predicted by the MC, and the drying rate (DR), drying times, and final thickness were predicted using the multi-layer perceptron (MLP), gaussian process (GP), k-nearest neighbors (KNN), random forest (RF), and support vector regression (SVR) algorithms. …”
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Design and Linearization of a Doherty Power Amplifier in 45 nm CMOS Technology for 5G Applications by Alexandre Zem de Morais, André Augusto Mariano, Eduardo Gonçalves de Lima, Luis Schuartz, Bernardo Rego Barros de Almeida Leite

“…The PA is designed in a 45 nm node using a commercial CMOS process. DPD is applied using a memory polynomial model with an indirect learning structure to enhance its accuracy. …”
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ML techniques increasing the power factor of a compression ignition engine that is powered by Annona biodiesel using SATACOM by ArunKumar Munimathan, Silambarasan Rajendran, Abhishek Kumar Tripathi, Jaya Jayabalan, Vijayakumar Palanivel, Rakesh Varma, S. Prabhakar, Mamdooh Alwetaishi

“…The improved combustion process in B20 resulted in reduced noise emissions that followed engine speed and vibration pattern variations. …”
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Data Augmentation Approaches for Estimating Curtain Wall Construction Duration in High-Rise Buildings by Sang-Jun Park, Jin-Bin Im, Hye-Soon Yoon, Ju-Hyung Kim

“…Reliable project management during planning stages of a building project is a meticulous process typically requiring sufficient precedencies. …”
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Impact of a Virtual Reality Video ("A Walk-Through Dementia") on YouTube Users: Topic Modeling Analysis by Xiaoli Li, Xiaoyu Liu, Cheng Yin, Sandra Collins, Eman Alanazi

“…ResultsWe identified the top 300 most frequent words in the dataset and categorized them into nouns, verbs, and adjectives or adverbs using a part-of-speech tagging model, fine-tuned for accurate tagging tasks. The topic modeling process identified eight8 initial topics based on the most frequent words. …”
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Data driven tensile strength prediction for fiber-reinforced rubberized recycled aggregate concrete using machine learning by Avijit Pal, Khondaker Sakil Ahmed, Nur Yazdani

“…This research may contribute to practical concrete mix design in the construction industry and also in the design process of structural elements particularly for crack width control and mitigation. …”
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Severity Classification of a Seismic Event based on the Magnitude-Distance Ratio Using Only One Seismological Station by Luis Hernán Ochoa Gutiérrez, Luis F Niño, Carlos A. Vargas

“…This characterization process can delay the emergency response, costing valuable time in the mitigation of the adverse effects on the affected population. …”
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Inertial measurement unit technology for gait detection: a comprehensive evaluation of gait traits in two Italian horse breeds by Vittoria Asti, Michela Ablondi, Arnaud Molle, Andrea Zanotti, Matteo Vasini, Alberto Sabbioni

“…Most of the Italian breeds must adapt to modern market demands, and gait traits are suitable phenotypes to help this process. Inertial measurement unit (IMU) technology can be used to objectively assess them. …”
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AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks by Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang

“…Each protein is embedded into a 128-dimensional vector space, capturing local network structures and enabling the identification of structurally equivalent proteins. …”
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Detection of insect-damaged sunflower seeds using near-infrared hyperspectral imaging and machine learning by Bright Mensah, Jarrad Prasifka, Brent Hulke, Ewumbua Monono, Xin Sun

“…Its integration into the seed sorting process can enhance seed inspections, food safety, damage scoring for scientific investigations, and ensure that only high-quality seeds are chosen for planting.…”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…ResultsThe feature selection process identified 14 food items out of 140 that effectively classify FPPs. …”
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection by Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala

“…In addition, classification is performed using a Support Vector Machine (SVM) based on features extracted through Multivariate Empirical Mode Function (MEMF) and entropy measures. …”
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Channel equalization in ultraviolet communication based on LSTM-DNN hybrid model by Liwei Zhang

“…The model leverages LSTM to process temporal dependencies and combines it with DNN for nonlinear feature extraction, thereby improving its adaptability to single-scattering channels. …”
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Intertextuality of the Personosphere as a Factor of Meta-Genre (Clifford Simak “Shakespeare’s Planet”) by Dan Paranyuk, Alyona Tychinina

“…In conclusion, the article claims that the consistent generation of new literary genre formats in the field of the cultural continuum is an immanent feature of the complex literary process, which can be fully realized only with the help of the reader’s rich receptive background. …”
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Construction and Application of Feature Recommendation Model for Remote Sensing Interpretation of Rock Strata Based on Knowledge Graph by Liufeng Tao, Qirui Wu, Miao Tian, Zhong Xie, Jianguo Chen, Yueyu Wu, Qinjun Qiu

“…A hybrid information extraction process combining rule-based parsing and a fine-tuned Universal Information Extraction (UIE) model was employed to extract knowledge from unstructured texts. …”
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Accurate Indoor Home Location Classification through Sound Analysis: The 1D-ILQP Approach by Umut Erman, Türker Tuncer, Nura Abdullahi, Sengul Dogan, Erhan Akbal

“…This novel 1D-ILQP plays a central role in the feature extraction process, generating textural features from the acoustic signals. …”
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Machine learning-enhanced fully coupled fluid–solid interaction models for proppant dynamics in hydraulic fractures by Dennis Delali Kwesi Wayo, Sonny Irawan, Lei Wang, Leonardo Goliatt

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À la croisée du développement de la compétence numérique et de la compétence en langue étrangère : étude préliminaire pour le développement d'un outil ludopédagogique pour les 4-7... by Laurence Schmoll, Joséphine Rémon, Pascale Manoïlov, Anissa Hamza, Élodie Oursel

“…Our research question at this stage deals with the data needed to inform the development of a digital English learning tool for playschool pupils in an iterative improvement process. From a theoretical perspective, we approach this problem through the lens of digital literacy, at the interconnection of three dimensions, namely technological literacy, meaning-making literacy, and interaction literacy. …”
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Precision Inverse Modeling of Highway Pavements Based on Standardized Alignment by Ruifeng Ma, Qing Zhu, Xuming Ge, Xin Jia, Han Hu, Tao Liu

“…We utilize cost functions to facilitate this process. (3) <italic>Novel inverse procedural assembly:</italic> This innovative step integrates off-the-shelf modeling software. …”
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