Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies by Basha Shaik Asif, Zia Amir, B Kirankumar, S Chandra Sekhar, S Sumithra, R Monisha Jothi

“…Therefore, this research is focused on establishing new AI-based models to tackle this problem in predictive models, risk management strategies in financial trading domain. …”
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A predictive language model for SARS-CoV-2 evolution by Enhao Ma, Xuan Guo, Mingda Hu, Penghua Wang, Xin Wang, Congwen Wei, Gong Cheng

“…Abstract Modeling and predicting mutations are critical for COVID-19 and similar pandemic preparedness. …”
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Development and validation of predictive models for diabetic retinopathy using machine learning. by Penglu Yang, Bin Yang

“…Significant predictors were identified, and four predictive models were developed. Model performance was assessed using accuracy, precision, recall, F1-score, and area under the curve (AUC).…”
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Recurrent predictive coding models for associative memory employing covariance learning. by Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

“…We further show that our models can be combined with hierarchical predictive coding networks to model the hippocampo-neocortical interactions. …”
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A predictive model for damp risk in english housing with explainable AI by Gulala Aziz, Adam Hardy

“…This study develops a predictive model for damp risk, using 2,073 inspection records from a housing association across 125 local authorities. …”
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Facebook Reactions as Controversy Proxies: Predictive Models over Italian News by Angelo Basile, Tommaso Caselli, Flavio Merenda, Malvina Nissim

“…We develop a battery of distant supervised models that use Facebook reactions as proxies for predicting news controversy, building on the idea that controversy can be modeled via the entropy of the reaction distribution to a post. …”
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New Predictive Models for the Computation of Reinforced Concrete Columns Shear Strength by Anthos I. Ioannou, David Galbraith, Nikolaos Bakas, George Markou, John Bellos

“…Three ML models, LREGR, POLYREG-HYT, and XGBoost-HYT-CV, were used to develop different predictive models that were able to compute the shear strength of RC columns. …”
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A Model Predictive Algorithm for Active Control of Nonlinear Noise Processes by Qi-Zhi Zhang, Woon-Seng Gan, Ya-li Zhou

“…For ANC system to be successfully implemented, the nonlinearity of the primary path and time delay of the secondary path must be overcome. A nonlinear Model Predictive Control (MPC) strategy is introduced to deal with the time delay in the secondary path and the nonlinearity in the primary path of the ANC system. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…AimIn this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.Subject and methodsWe sourced GSE9569 and GSE21862 microarray data from the Gene Expression Omnibus. …”
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Neural network-based model predictive control for unmanned aerial vehicles by Yiwei Zhou

Subjects: “…model predictive control…”
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Machine learning-based predictive modelling of mental health in Rwandan Youth by Fauste Ndikumana, Josias Izabayo, Joseph Kalisa, Mathieu Nemerimana, Emmanuel Christian Nyabyenda, Sylivain Hirwa Muzungu, Isaac Komezusenge, Melissa Uwase, Similien Ndagijimana, Celestin Twizere, Vincent Sezibera

“…The research findings indicate that the random forest model is the most effective with an accuracy of 88.8% in modeling and predicting factors contributing to mental health vulnerability and 75 % in predicting mental disorders comorbidity. …”
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Predictive Models of Current, Voltage, and Power Losses on Electric Transmission Lines by O. M. Bamigbola, M. M. Ali, K. O. Awodele

“…The predictive models evolved as explicit expressions of the space variable and they are in close agreement with empirical data and reality.…”
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Offline Model Predictive Control Based on Weighted Projection over Polytopes by Fabio Andrade de Almeida

“…This work presents a novel offline model predictive control technique for tracking of constrained systems. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

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High-risk factors and predictive models for hemorrhagic chronic radiation proctitis by Zhongli Liao, Xiaogang Hu, Liuling Hu, Jian Yang

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Predictive models for chemotherapy-induced oral mucositis: a systematic review by Yan Tao, Xiang Zeng, Hua Mao

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Model Predictive Control of Demagnetization Vibration in Permanent Magnet Synchronous Motor by Wantai Liu, Bifeng Zhou

“…This article proposes a new nonlinear processing method combined with model predictive control (MPC) to study the demagnetization vibration problem of permanent magnet synchronous motors (PMSMs). …”
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GIS-based multi-criteria predictive modelling for geothermal energy exploration by Andongma Wanduku Tende, Mamidak Miner Iiiya, Serah Habu, Jiriko Nzeghi Gajere, Shekwonyadu Iyakwari, Mohammed Dahiru Aminu

“…Spatial and statistical analysis including the attribute correlation analysis was used to evaluate the relationship between exploration data and geothermal energy resources represented by hot springs. The weighted sum model was then used to develop geothermal predictive maps while the accuracy of prediction was determined using the receiver operating characteristic/area under curve (ROC/AUC) analysis. …”
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Developing a rapid predictive model for falls in older hospitalized patients by Mengmeng Hu, Mengmeng Hu, Sujuan Lu, Jiangan Guan, Wenqian Deng, Yu Hu, Yao Huang, Keying Li, Mengdan He, Zhiyi Wang, Zhiyi Wang, Zhiyi Wang, Chan Chen, Chan Chen, Chan Chen, Xiufang Chen

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Tumor-associated macrophage-based predictive and prognostic model for hepatocellular carcinoma. by Changquan Shang, Tiancong He, Yi Zhang

“…Applying our model to multiple HCC cohorts, robust predictive and prognostic performances were observed. …”
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