Application of neural network to model rainfall pattern of Ethiopia
In this paper, we have constructed Artificial Neural Network models which could capture rainfall pattern of Ethiopia. The data was collected from 147 stations across Ethiopia.
Gemechu Abdisa Atomsa, Yingchun Zhou
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ARABIC-A STUDY OF NEW ARABIC BOOKS ON THE PROPHETIC TREATIES AND COVENANTS
This brief research paper consists of an analytical study of the modern books compiled on the topic of treaties and covenants of The Holy Prophet (Peace Be Upon Him) with other tribes and nations. In this regard, in the modern literature of Arabic, four
Nasrullah Khan Muzaffar +1 more
doaj
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Jesus' mission and messianism through the prism of Islam and Christianity: Analysis of the Book of prophet Zechariah [PDF]
The proof of Isa's (Jesus) prophethood and messiahship in Christianity is reflected in the fulfillment of the Old Testament prophecies that speak of the appearance and arrival of the Messiah.
Gološ Dževad
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Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Delphi Method Supported by Forecasting Software
The Delphi method is one of the basic tools for forecasting values in various types of issues. It uses the knowledge of experts, which is properly aggregated (e.g., in the form of descriptive statistics measures) and returns to the previous group of ...
Marcin Lawnik, Arkadiusz Banasik
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Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices
Setting sale prices correctly is of great importance for firms, and the study and forecast of prices time series is therefore a relevant topic not only from a data science perspective but also from an economic and applicative one.
Lorenzo Menculini +6 more
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Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
A Comparative Study of the Interpretation of Addresses of "Ya Ayyohannabi" (O Prophet) and "Ya Ayyoharrasoul": (O Messenger) in the Holy Quran [PDF]
Muhammad Ali Raghebi[1] Mohsen Delir[2] The Prophet Mohammad (PBUH) has been addressed in the Holy Quran by different phrases, including "Ya Ayyohannabi" (O Prophet) and "Ya Ayyoharrasoul" (O Messenger).
Mohammad Ali Raghebi, Mohsen Deleer
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Forecasting of Solar and Wind Resources for Power Generation
Solar and wind are now the fastest-growing power generation resources, being ecologically benign and economical. Solar and wind forecasts are significantly noteworthy for their accurate evaluation of renewable power generation and, eventually, their ...
M. K. Islam +4 more
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