Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning by Jing An, Ping Ai, Dakun Liu

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Prediction and policy: Do empirical gross calorific value prediction help reduce coal testing overload? by Saroj K Sadangi, Rudra P Pradhan

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A Nonintrusive Load Monitoring Method for Microgrid EMS Using Bi-LSTM Algorithm by Dongguo Zhou, Yangjie Wu, Hong Zhou

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Arabic Temporal Common Sense Understanding by Reem Alqifari, Hend Al-Khalifa, Simon O’Keefe

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Primary Unit for Statistical Analysis in Morphometry: Patient or Cell? by Oleksiy Tsybrovskyy, Andrea Berghold

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Design of Semantic Matching Model of Folk Music in Occupational Therapy Based on Audio Emotion Analysis by Wensi Ouyang

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A Novel Prognostic Stratified System Based on Tumor Budding and the Cell Nest Size in Ureter Urothelial Carcinoma by Jialin Li, Xinyue Li, Jing Yang

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Implications of irrigation water quality in tropical farms by B. Guerra Tamara, A. Torregroza-Espinosa, D. Pinto Osorio, M. Moreno Pallares, A. Corrales Paternina, A. Echeverría González

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Laparoscopic Reversal of Hartmann’s Procedure: State of the Art 20 Years after the First Reported Case by Adriana Toro, Annalisa Ardiri, Maurizio Mannino, Antonio Politi, Andrea Di Stefano, Zia Aftab, Abdelrahman Abdelaal, Maria Concetta Arcerito, Andrea Cavallaro, Marco Cavallaro, Gaetano Bertino, Isidoro Di Carlo

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A novel high-resolution eco-functional vegetation mapping of coastal dunes by Michele Innangi, Mirko Di Febbraro, Marco Balsi, Ginevra Colonna, Michele Finizio, Federica Pontieri, Maria Laura Carranza

“…Field sampling recorded 46 taxa, reflecting diverse habitat types according to the EUNIS classification system. …”
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Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models by Yu Zhao, Zhiqiu Huang, Lina Gong, Yi Zhu, Qiao Yu, Yuxiang Gao

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Analisis Sentimen untuk Identifikasi Bantuan Korban Bencana Alam berdasarkan Data di Twitter Menggunakan Metode K-Means dan Naive Bayes by Vincentius Riandaru Prasetyo, Gatum Erlangga, Delta Ardy Prima

“…The K-Means method was chosen because it is easy to use and easy to implement, while the Naïve Bayes method was chosen because it has a good level of accuracy in classification. The results showed that the combination of K-Means and Naïve Bayes had a higher accuracy rate of 76.46%, compared to the use of Naïve Bayes alone, which was 74.65%. …”
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Flood susceptibility mapping based on watershed geomorphometric characteristics and land use/land cover on a small island by B.H. Narendra, O. Setiawan, R.A. Hasan, C.A. Siregar, , Pratiwi, N. Sari, A. Sukmana, I.W.S. Dharmawan, R. Nandini

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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

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Prediksi Kelulusan Tepat Waktu Berdasarkan Riwayat Akademik Menggunakan Metode K-Nearest Neighbor by Imam Riadi, Rusydi Umar, Rio Anggara

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Uveitis associated with elevation of intraocular pressure – what is the optimal therapy? by Agnieszka Kubicka-Trząska

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Variability among Physicians in Risk Stratification for People with Diabetes during Ramadan Fasting by Bachar Afandi, Mohamed Hassanein, Shehla Shaikh, Gamal Ibrahim, Monira Alarouj

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A Fusion Parameter Method for Classifying Freshness of Fish Based on Electrochemical Impedance Spectroscopy by Jian Sun, Yuhao Liu, Gangshan Wu, Yecheng Zhang, Rongbiao Zhang, X. J. Li

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Case Study of Urban Stormwater Simulation in Foshan Based on Urban Time-Variant Gain Model by WANG Chao, GONG Siqi, XIAO Yu

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