Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module by Hussain Hamdi Khalaf, Ali Nasser Hussain, Zuhair S. Al-Sagar, Abdulrahman Th. Mohammad, Hilal A. Fadhil

“… In this work, an Artificial Neural Network (ANN) with a backward-propagation technique was used to predict the power generation of the Photovoltaic (PV) module in weather conditions of Baghdad city-Iraq. …”
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Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients by Maryam Arefnia, Toktam Hosseinnezhad Ariani, Mohammadali Ghodsirad, Toktam Alirezaei, Elinaz Hosseinzadeh, Mahesti Amoui, Elaheh Pirayesh, Ghazaal Norouzi

“…Conclusion: MPV may serve as a predictive marker for myocardial perfusion abnormalities, especially in individuals without diabetes. …”
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A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things by Hang Zhou, Shi-Jun Yi, Ya-Fei Liu, Yong-Quan Hu, Yong Xiang

“…The wind turbine drive system is one of the key components in converting wind energy into electrical energy. The life prediction of drive system is very important for the maintenance of wind turbine. …”
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A model based on random forest algorithm and Jaya optimization to predict bank customer churn by Sepideh Chehreh, Ali Sarabadani

“…Customer like age, Gender, graphs and cases It predicts more ‌. The results of model in the article are 91.41%, 95.66% and 93.35% respectively in Precision , Recall and Accuracy criteria.…”
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Analysis of Marketing Prediction Model Based on Genetic Neural Network: Taking Clothing Marketing as an Example by Hua Peng, Luxiao Dong, Yi Sun, Yanfang Jiang

“…In the process of estimating and calculating the parameters of the prediction model, an error criterion is selected to determine a set of relatively optimal prediction parameters, and finally the model results A verification analysis was carried out. …”
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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

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A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare by Siddhesh Fuladi, D. Ruby, N. Manikandan, Animesh Verma, M. K. Nallakaruppan, Shitharth Selvarajan, Shitharth Selvarajan, Shitharth Selvarajan, Preeti Meena, V. P. Meena, Ibrahim A. Hameed

“…This research introduces a federated learning-based framework designed to address gaps in existing smoking prediction models, which often compromise privacy and lack data generalizability. …”
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Collaboration of clustering and classification techniques for better prediction of severity of heart stroke using deep learning by T. Swathi Priyadarshini, Mohd Abdul Hameed

“…Three experimental prediction models are developed when k-means clustering is collaborated with classification which includes machine learning algorithms like Naïve Bayes, Decision Tree and a deep learning algorithm Artificial Neural Network. …”
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A Nomogram to Predict Benign/Malignant Mediastinal Lymph Nodes Based on EBUS Sonographic Features by Bingchao Ling, Weishun Xie, Yi Zhong, Taowen Feng, Yueli Huang, Lianying Ge, Aiqun Liu

“…Our novel scoring system based on two nomograms can be utilized to predict malignant lymph nodes.…”
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Rapid Improvement in Cardiac Damage Predicts Better Prognosis After Transcatheter Aortic Valve Replacement by Hao-Wei Lee, Chih-Hui Chin, Po-chin Chou, Chia-Hsiu Chang, Chiu-Ling Tsai, Chi-Hung Huang

“…Background: A staging system based on cardiac damage for severe aortic stenosis (AS) has been validated for prognosis prediction following transcatheter aortic valve replacement (TAVR). …”
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Augmented Feedback Response Prediction by Peak Vertical Ground Reaction Force in Adolescent Female Athletes by Hannah Jaime, Drew Rutherford, Becky Heinert, C. Nate Vannatta, Sherwin Toribio, Thomas W Kernozek

“…Only 23 participants (16.4%) did not respond to training. Baseline vGRF predicted post-feedback vGRF and transfer task vGRF (R2=0.508 and R2=0.400) across all participants. …”
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Predicting changes in agricultural yields under climate change scenarios and their implications for global food security by Christine Li, James Camac, Andrew Robinson, Tom Kompas

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A Predictive Model for Pulmonary Aspergillosis in ICU Patients: A Multicenter Retrospective Cohort Study by Li Y, Ren X, Wang Q, Shen S, Li Y, Qian X, Tang Y, Jia J, Zhang H, Ding J, Song Y, Zhang S, Wang S, Xu Y, Jiang Y, He X, Dai M, Zhong L, Xiong Y, Pan Y, Wang M, Shao H, Cai H, Huang L, Wang H

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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

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Hypertensive load predicts recovery of renal function for patients undergoing revascularisation for renal artery stenosis by Ben Edgar, Rob Pearson, Andrew Jackson, Callum Stove, Ram Kasthuri, Keith Hussey, Christian Delles, Colin Geddes, Patrick Mark, Giles Roditi, Linsay McCallum, David B. Kingsmore

“…The reversibility of renal impairment is not predictable, and thus renal revascularisation is controversial. …”
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The Potential Role of Matrix Metalloproteinases 8 and 9 and Myeloperoxidase in Predicting Outcomes of Bacterial Meningitis of Childhood by Okko Savonius, Irmeli Roine, Saeed Alassiri, Taina Tervahartiala, Otto Helve, Josefina Fernández, Heikki Peltola, Timo Sorsa, Tuula Pelkonen

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Prediction of Ammunition Storage Reliability Based on Improved Ant Colony Algorithm and BP Neural Network by Fang Liu, Hua Gong, Ligang Cai, Ke Xu

“…In this paper, we develop a prediction model of ammunition storage reliability in the natural storage state where the main affecting factors of ammunition reliability include temperature, humidity, and storage period. …”
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Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms by Huazhu Xue, Chaoqiang Guo, Guotao Dong, Chenchen Zhang, Yaokang Lian, Qian Yuan

“…The new model (physics-guided LSTM model, PG-LSTM) was applied to predict streamflow in the upper reaches of the Hei River, and its accuracy and physical consistency in streamflow prediction were analyzed. …”
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Predictive value of myositis antibodies: role of semiquantitative classification and positivity for more than one autoantibody by Anne M Kerola, Arno Hänninen, Annukka Pietikäinen, Julia Barantseva, Annaleena Pajander

“…Objectives We assessed the positive predictive value (PPV) of 17 myositis antibodies for having a diagnosis of myositis and other myositis-spectrum conditions (interstitial lung disease (ILD), connective tissue diseases (CTD), malignancy) and evaluated the impact of semiquantitative classification and antibody overlap on the PPVs.Materials and methods We retrospectively identified 1068 individuals ≥18 years who tested positive for ≥1 antibody in the EUROLINE myositis line blot assay or positive for anti-3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) in an ELISA-based test between 2015 and 2020 in 15 out of the 20 hospital districts in Finland. …”
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Bone Mineral Density Prediction from CT Image: A Novel Approach using ANN by S. L. Resmi, V. Hashim, Jesna Mohammed, P. N. Dileep

“…Bone mineral density (BMD) monitoring will definitely aid in the prediction and prevention of medical emergencies arising from osteoporosis. …”
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