Predictive Analysis of Carbon Emissions in China’s Construction Industry Based on GIOWA Model by Tianyue Hu, Zhiheng Bao, Baiyang Zhang, Xinnan Gao

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Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000 by Yabin Zhang, Lei Yu, Yuting Lv, Tiantian Yang, Qi Guo

“…Results reveal exponential growth post-2017, driven by advancements in deep learning and multimodal data integration. The United States (25.96%) and China (24.11%) dominate publication volume, while the UK exhibits the highest collaboration centrality (0.24) and average citations per publication (31.68). …”
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Landslide Forecasting Model Based on PCA and Improved CS-RBF by WANG Lianxia, LI Limin, FANG Zihao, REN Ruibin, FU Zhentao, CUI Chengtao

“…Firstly, the main influencing factors of landslide disasters in the area are determined, and the PCA algorithm is used to reduce the dimensionality of landslide influencing factors to avoid the problem of model redundancy caused by excessively large data dimensions. The dimensionality-reduced data is then input into the RBF neural network for landslide probability forecasting. …”
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Characterisation of the respiratory syncytial virus seasonality and its environmental factors in the Americas—a multi-country observational study using routine surveillance network... by Paula Couto, Harry Campbell, You Li, Marc Rondy, Juliana Leite, Angel Rodriguez, Andrea Vicari, Harish Nair, Andrea Pontoriero, Carlos Maria Giovacchini, Julio Sabido, Mellissa Diaz Musa, Jorge Polanco, Marcelo Ferreira da Costa Gomes, Felipe Cotrim de Carvalho, Liza Lee, Rodrigo A. Fasce, Natalia Alejandra Vergara Mallegas, Paula Camila Rodriguez Ferrari, Paula Rodríguez-Romero, Angélica María Rico Turca, Elias Guilarte García, Ronald Skewes-Ramn, Ruth Gómez Carrera, Ana Del Carmen Sanchez de Molina, Laura Lissette Arévalo Avila, Maria del Mar Ordoñez, Selene Gonzales, Robert Camargo Ángeles, Laura Adriana Flores Cisneros, Irma López Martínez, Catherine Lissette Castillo Castillo, Danilo Franco, Katia Peralta, Cynthia Vazquez de Lopez Moreira, Lidia Redondo Bravo, Priscila Born, Jorge Jara, Paula Couto, Harry Campbell, You Li, Marc Rondy, Angel Rodriguez, Juliana Leite, Andrea Vicari, Harish Nair

“…Methods: RSV seasonality was assessed using data reported in 2010–2019 to a multi-country respiratory surveillance network. …”
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The nursing process and total health cost variability: an analysis using machine learning by Maria Consuelo Company-Sancho, Victor M. González-Chordá, Maria Isabel Orts-Cortés

“…Having created the best model for the analysis using neural networks and XGBOOST, an average coefficient of determination of R2 = 21.45% was obtained. …”
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An analysis of cyclonic dominant patterns on cold period precipitation in the mid-western of Iran by Rastegar Mohammadi, mohammad saligheh, Mohammad Hossein Naserzadeh, Mehri Akbari

“…From the geopotential height matrix of rainy days (361×441×498), four distinct atmospheric patterns were identified through cluster analysis. The temporal and spatial frequency of these patterns, as well as the average temperature of cyclonic centers, were analyzed for the cold season months. …”
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Estimating pedestrian traffic with Bluetooth sensor technology by Avital Angel, Achituv Cohen, Sagi Dalyot, Pnina Plaut

“…We showcase the results of pedestrian traffic analysis, together with a discussion on the data analysis challenges and limitations. …”
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Forecast of demand for the rmal energy for buildings of secondary educational institutions based on the properties of heteromorphism of their energy systems by S. V. Guzhov

“…The possibility and similar accuracy of the results of forecasting the demand for thermal ene rgy is shown both through the use of multivariate regression analysis and artificial neural networks. CONCLUSION. …”
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Decoding laying hen behavior and physiological status through acoustic biomarkers: temporal patterns, rooster-hen vocalization identification in group housing and environmental ada... by Xuanting Lin, Wanjun Zhu, Longshen Liu, Zhenlei Zhou

“…In this study, continuous audio data were collected from commercial chicken houses over a period of 15 days, in addition to temperature and humidity index (THI) analysis, to develop a convolutional neural network (CNN)-based model for classifying chicken squawks. …”
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Trend Detection and Forecasting of LST in Tabriz City using the Non-parametric Mann-Kendall and NNAR by Mohammad Ali Koushesh Vatan, Akbar Asghari Zamani, Shahrivar Rostaei

“…During the nighttime, the highest positive and negative departures from the overall mean were observed in 2006 (2.8°C) and 2009 (-2.77°C), respectively. Based on the trend analysis, the trends of the minimum (0.031°C), average (0.037°C), and maximum (0.065°C) LSTs during the daytime are significant. …”
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Multi-Dimensional Feature Fusion and Enhanced Attention Streaming Movie Prediction Algorithm by Hanqing Hu, Tianmu Tian, Chengjing Liu, Xueyuan Bai

“…Aiming at the challenges of multiple influencing factors, complex data characteristics, and limited data in streaming movie prediction, a feature fusion long- and short-term memory enhanced attention network (FFLSTMEA) was developed to achieve the short-term prediction of key indicators such as streaming movie revenue and to support business decisions. …”
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Methodics and tools of cough sound processing on basic of neural net by U. A. Vishniakou, Bahaa Shaya

“…The purpose of the article is to analyze the methods and means of processing cough sounds to detect lung diseases, as well as to describe the developed system for classifying and detecting cough sounds based on a deep neural network. Four types of machine learning and the use of convolutional neural network (CNN) are considered. …”
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Automating field‐based floral surveys with machine learning by Nicholas Sookhan, Shane Sookhan, Devlin Grewal, J. Scott MacIvor

“…The CNN was trained using 930 m2 of manually annotated data, ~1% of the mapped landscape. The trained CNN was tested on 20% of the manually annotated data concealed during training. …”
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ISAC-Driven Software Development With Large Language Models: A Foundation for Enhanced Public Life Support by Yaqiong Huang, Xin Jin, Li Zhang

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Spatio-temporal distribution of Crimean-Congo Hemorrhagic Fever and its relationship with climate factors in Pakistan: A decade-long experience from tertiary care laboratory networ... by Muhammad Abbas Abid, Joveria Farooqi, Najia Ghanchi, Rabiya Owais, Ayesha Sadiqa, Humaira Shafaq, Erum Khan

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Closed circuit artificial ıntelligence model named morgaf for childhood onset systemic lupus erythematosus diagnosis by Emil Aliyev, Yagizhan Ugur, Veysel Cam, Yagmur Bayindir, Dilara Unal, Zeynep Balik, Seher Sener, Yelda Bilginer, Seza Ozen

“…The concept of neural networks (NN) is increasingly common in AI studies. …”
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THE MULTIPLE PARAMETER ANALYSIS OF EEG AT PATIENTS WITH RIGHT-HAND LOCALIZATION OF THE EPILEPTIC FOCUS by L. N. Nerobkova, T. A. Voronina, G. N. Avakyan, G. G. Avakyan, E. A. Chromich, I. G. Kovalyov, I. O. Gaydukov

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Research on Identification Method of Transformer Windings’ Loose Vibration Spectrum Considering a Multi-Load Current Condition by Jin Fang, Xudong Deng, Yuancan Xia, Chen Wu, Yuehua Li, Xin Li, Kaixin Chen, Fan Wang, Zhanlong Zhang

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Integrating empirical analysis and deep learning for accurate monsoon prediction in Kerala, India by Yajnaseni Dash, Ajith Abraham

“…Usage of a hybrid model that integrates Empirical Mode Decomposition (EMD) with Detrended Fluctuation Analysis (DFA) and deep Long Short-Term Memory (LSTM) neural networks, demonstrates enhanced precision in forecasting. …”
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MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition by Khan Abrar Shams, Md. Rafid Reaz, Mohammad Ryan Ur Rafi, Sanjida Islam, Md. Shahriar Rahman, Rafeed Rahman, Md. Tanzim Reza, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, Abdullah Alamri

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