Results 31 to 40 of about 70,932 (306)

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Interview with Jane Prophet [PDF]

open access: yes, 2012
Interview with Jane Prophet by Lanfranco Aceti and Vince ...
Prophet, Jane
core   +1 more source

Jesus' mission and messianism through the prism of Islam and Christianity: Analysis of the Book of prophet Zechariah [PDF]

open access: yesKom: Časopis za Religijske Nauke
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
doaj   +1 more source

Delphi Method Supported by Forecasting Software

open access: yesInformation, 2020
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
doaj   +1 more source

Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices

open access: yesForecasting, 2021
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
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 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]

open access: yesپژوهش‌های تفسیر تطبیقی, 2016
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
doaj   +1 more source

Forecasting of Solar and Wind Resources for Power Generation

open access: yesEnergies, 2023
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
doaj   +1 more source

Prophetic witness in the Hebrew Bible: From prophetic word to prophetic books

open access: yesHTS Teologiese Studies / Theological Studies, 2010
Although prophecy as a phenomenon is recognised as being common to Mari, Mesopotamia and other Near Eastern contexts, the huge process of collecting, editing and interpreting prophecy that took place as part of the formation of the Hebrew Bible (HB), is virtually without precedent in the rest of the Ancient Near East.
openaire   +3 more sources

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park   +3 more
wiley   +1 more source

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