A pioneering approach to deterministic rainfall forecasting using machine learning

• 2025-02-04
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1. A pioneering approach to deterministic rainfall forecasting using machine learning

•Authors: R. Farooq, M.A. Imteaz, F. Mekanik

•Published in: Earth Science Informatics, Springer

•Summary: This study explores the application of artificial neural networks (ANNs) for deterministic rainfall forecasting in Australia’s Northern Territory. The research highlights AI’s superiority over traditional linear models in weather predictions.

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2. Machine learning-based prediction of antipsychotic efficacy in schizophrenia

•Authors: X. Guo, E. Zhou, X. Wang, et al.

•Published in: Schizophrenia, Nature

•Summary: This study investigates the use of machine learning to predict the effectiveness of antipsychotic treatments for schizophrenia by analyzing brain gray matter structure.

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3. Predicting prostate cancer recurrence risk with AI-driven DNA methylation analysis

•Authors: F.M. Aldakheel, H. Alnajran, S.A. Alduraywish, et al.

•Published in: Discover Oncology, Springer

•Summary: Machine learning algorithms are used to analyze DNA methylation and RNA expression biomarkers to predict prostate cancer recurrence risk.

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4. AI-driven reliability assessment of concreting equipment in India

•Authors: A. Ghosh, J. Abawajy

•Published in: Expert Systems with Applications, Elsevier

•Summary: This research applies AI-based reliability engineering to optimize the maintenance and operations of concreting equipment in India.

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5. Deep neural network-based classification of retinal images using OCT

•Author: A.M. Khudhur

•Published in: Journal of Optics, Springer

•Summary: AI-based deep learning models are applied to classify retinal images from optical coherence tomography (OCT) scans.

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6. AI for nonlinear effects analysis in fiber optic communication systems

•Authors: R. Saiyyed, M. Sindhwani, S. Sachdeva, et al.

•Published in: Journal of Optics, Springer

•Summary: This paper explores AI-driven models like RNNs and transformers to analyze nonlinear effects in fiber optic communication.

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7. AI-enhanced corporate strategic communication in China

•Author: M. Fu

•Published in: International Communication of Chinese Culture, Springer

•Summary: This study discusses how AI has transformed corporate strategic communication, particularly within Chinese businesses like ByteDance.

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8. The evolution of AI education at Stanford University

•Author: C.A. Lu

•Published in: TechTrends, Springer

•Summary: This research outlines Stanford University’s interdisciplinary approach to AI education and its collaboration with Silicon Valley.

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9. Advances in biomarker discovery for Alzheimer’s disease using AI

•Authors: V. Bhatia, A. Chandel, Y. Minhas, et al.

•Published in: Neurological Sciences, Springer

•Summary: AI and mass spectrometry techniques are utilized for early detection of Alzheimer’s disease biomarkers.

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10. AI-assisted textile wastewater treatment through engineered carbon systems

•Authors: O. Kulkarni, P. Dongare, B. Shanmughan, et al.

•Published in: Environmental Science, Springer

•Summary: This study examines how AI models can predict the effectiveness of engineered carbon systems in treating wastewater from textile industries.

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These studies highlight AI’s expanding role in healthcare, engineering, environmental sustainability, and education. Let me know if you need more details on any of these topics! 🚀