Enhanced Forecasting of Equity Fund Returns Using Machine Learning by Fabiano Fernandes Bargos, Estaner Claro Romão

“…In addition, models trained on 1 year of data maintained predictive reliability for up to 2 months into the future, achieving precision above 90% in forecasting funds with 3-month returns above the average. …”
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GRAPPA—A hybrid graph neural network for predicting pure component vapor pressures by Marco Hoffmann, Hans Hasse, Fabian Jirasek

“…The trained model and its code are fully disclosed, and GRAPPA is directly applicable via the interactive website https://ml-prop.mv.rptu.de/.…”
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Investigating and predicting land use changes in Tehran metropolis using remote sensing technology by Adel Khazaei, Majid Abbaspour, Sasan Babaei Kafaky, Lobat Taghavi, Yousef Rashidi

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Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data by Theodoros Petropoulos, Lefteris Benos, Remigio Berruto, Gabriele Miserendino, Vasso Marinoudi, Patrizia Busato, Chrysostomos Zisis, Dionysis Bochtis

“…Accurate crop yield prediction is vital towards optimizing agricultural productivity. …”
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Emergency Separation Simulation and Damage Prediction of an Airliner under Wheel-Up Landing Condition by Pengfei Zhang, Hong Nie, Jianfei Wu, Muqi Yu

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Feature selection method for software defect number prediction based on maximum information coefficient by Guoqing LIU, Xingqi WANG, Dan WEI, Jinglong FANG, Yanli SHAO

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Feature selection method for software defect number prediction based on maximum information coefficient by Guoqing LIU, Xingqi WANG, Dan WEI, Jinglong FANG, Yanli SHAO

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An incremental data-driven approach for carbon emission prediction and optimization of heat treatment processes by Qian Yi, Xin Wu, Junkang Zhuo, Congbo Li, Chuanjiang Li, Huajun Cao

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Predicting effective drug combinations for cancer treatment using a graph-based approach by Qi Wang, Xiya Liu, Guiying Yan

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Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

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Machine learning insights for predicting density and hardness in centrifugal SHS synthesized ceramic coatings by N. Radhika, M. Sabarinathan, S. Sivaraman

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PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021) by Nannan Xu, Guang Yang, Linlin Ming, Jiefei Dai, Kun Zhu

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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM by Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai

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Prognostic prediction of gastric cancer based on H&E findings and machine learning pathomics by Guoda Han, Xu Liu, Tian Gao, Lei Zhang, Xiaoling Zhang, Xiaonan Wei, Yecheng Lin, Bohong Yin

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Self-adaptive spatial-temporal network based on heterogeneous data for air quality prediction by Feng Chang, Liang Ge, Siyu Li, Kunyan Wu, Yaqian Wang

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Metro Traffic Flow Prediction via Knowledge Graph and Spatiotemporal Graph Neural Network by Shun Wang, Yimei Lv, Yuan Peng, Xinglin Piao, Yong Zhang

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Stem Cell-Associated Signatures Help to Predict Diagnosis and Prognosis in Ovarian Serous Cystadenocarcinoma by Li Li, Weiwei Zhang, Jinxin Qiu, Weiling Zhang, Mengmeng Lu, Jiaqian Wang, Yunfeng Jin, Qinghua Xi

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An ensemble prediction approach to weekly Dengue cases forecasting based on climatic and terrain conditions by Sougata Deb, Cleta Milagros Libre Acebedo, Gomathypriya Dhanapal, Chua Matthew Chin Heng

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A Method for Run-Time Prediction of On-Chip Thermal Conditions in Dynamically Reconfigurable SOPCs by Dimple Sharma, Lev Kirischian

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A Five-Genes-Based Prognostic Signature for Cervical Cancer Overall Survival Prediction by Menghuang Zhao, Wenbin Huang, Shuangwei Zou, Qi Shen, Xueqiong Zhu

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