AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management by Joseph Finkelstein, Aref Smiley, Christina Echeverria, Kathi Mooney

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Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis by M. C. Rakshith, Raghavendra C. Kamath, G. S. Vijay

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Predicting Geostationary 40–150 keV Electron Flux Using ARMAX (an Autoregressive Moving Average Transfer Function), RNN (a Recurrent Neural Network), and Logistic Regression: A Com... by L. E. Simms, N. Yu. Ganushkina, M. Van derKamp, M. Balikhin, M. W. Liemohn

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Monte Carlo Method for Predicting Educational Service Revenue at Each Level of Education at PT. Kanaka Belajar by Raden Radian Baratasena, Mukidin Mukidin, Kosim Kosim, Adinda Rainah Lova Ariatin

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Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data by Munib Mesinovic, Peter Watkinson, Tingting Zhu

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Predictive value of the FIB-4 index, APRI, ALBI score, and GPR for overall survival in treatment-naïve metastatic colorectal cancer patients by Mehmet Serdar Yıldırım, Yunus Güzel, Canan Can, İhsan Kaplan, Veysi Şenses, İhsan Solmaz, Bilgin Bahadır Başgöz, Ömer Faruk Alakuş, Serdar İleri, Halil Kömek

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Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

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Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning by Mohamed Kamel Elshaarawy, Martina Zeleňáková, Asaad M. Armanuos

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MaxEnt Modeling of Future Habitat Shifts of <i>Itea yunnanensis</i> in China Under Climate Change Scenarios by Jinxin Zhang, Xiaoju Li, Suhang Li, Qiong Yang, Yuan Li, Yangzhou Xiang, Bin Yao

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A QbD Approach for the Formulation and Control of Triclabendazole in Uncoated Tablets: From Polymorphs to Drug Formulation by Lucas P. Muzi, Marina Antonio, Rubén M. Maggio

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Development and external validation of a nomogram for the early prediction of acute kidney injury in septic patients: a multicenter retrospective clinical study by Qin-Yue Su, Wen-Jie Chen, Yan-Jun Zheng, Wen Shi, Fang-Chen Gong, Shun-Wei Huang, Zhi-tao Yang, Hong-Ping Qu, En-Qiang Mao, Rui-Lan Wang, Du-Ming Zhu, Gang Zhao, Wei Chen, Sheng Wang, Qian Wang, Chang-Qing Zhu, Gao Yuan, Er-Zhen Chen, Ying Chen

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Decision-Making/Simulation Games in the Social Sciences – Selected Problems by Łukasz Donaj

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Analysis of diet-related stroke disease burden in China from 1990 to 2021 and projections for 2025–2044 by Zhe Wang, Wenjuan Pei, Meili Gou, Chen Gao

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A Review of Vessel Time of Arrival Prediction on Waterway Networks: Current Trends, Open Issues, and Future Directions by Abdullah Al Noman, Aaron Heuermann, Stefan Wiesner, Klaus-Dieter Thoben

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Magnitude, temporal trend and inequality in burden of neck pain: an analysis of the Global Burden of Disease Study 2019 by Fengshuo Xu, Xiangdong Zhang, Meng Yang, Qi Zhao, Qiusheng Wang, Jie Lian, Rong Zhang, Tianyun Chu, Zhaoxi Kou, Mingyu Zhao

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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE) by Nita Suryani, Arnita Arnita, Rinjani Cyra Nabila, Amanda Fitria

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Prediction of injuries in elite soccer players with the analysis of asymmetries in the CMJ through the use of Machine Learning tools by Ángel Aceña Rodríguez, Alvaro Vita, Raul Quintana, Carlos Reyes, Aitor Abal, Pol Corpas, Luis Vita, David Agusti, Enrique Portaz

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Analisis Perbandingan Metode Regresi Linier, Random Forest Regression dan Gradient Boosted Trees Regression Method untuk Prediksi Harga Rumah by Evita Fitri

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Influence of Western Pacific Madden–Julian Oscillation on New York City's Record‐Breaking Air Pollution in Early June 2023 by Yan Zhu, Pang‐chi Hsu, Yitian Qian

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