Results 91 to 100 of about 70,613 (293)

Time Evolution of Meteorological Training and Education in India

MAUSAM
An attempt has been made to trace out the time evolution of training services of India Meteorological Department in the disciplines of General Meteorology, Agricultural Meteorology, and Meteorological instruments & telecommunication through its two World Meteorological Organization Regional Training Centre (WMO RTC) components.
SOMENATH DUTTA, Samanti Sarkar, Gaurishankar Sawaisarje, Manish Ranalkar, R. Balasubramaniam, B. Amudha, P. S. Kannan, Kuldeep Srivastava, SOURAV ADHIKARY, Bibraj R., S. I. Laskar, Sunny Chug, Yogesh Visale, Sandhya Ravikiran, A. J. Neve   +14 more
openaire   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

A prediction rigidity formalism for low-cost uncertainties in trained neural networks

Machine Learning: Science and Technology
Quantifying the uncertainty of regression models is essential to ensure their reliability, particularly since their application often extends beyond their training domain.
Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli   +3 more
doaj   +1 more source

An Analysis of Publication Venues for Automatic Differentiation Research [PDF]

, 2014
We present the results of our analysis of publication venues for papers on automatic differentiation (AD), covering academic journals and conference proceedings.
Baydin, Atilim Gunes, Pearlmutter, Barak A.   +1 more
core   +1 more source

Neural Phase Picker Trained on the Japan Meteorological Agency Unified Earthquake Catalog

Earth, Planets and Space
Abstract In Japan, one of the most seismically active nations, seismic data from various institutions are shared in real-time and made accessible via the web, which facilitates research by numerous scholars. The Japan Meteorological Agency (JMA), in collaboration with the Ministry of Education, Culture, Sports, Science, and Technology (MEXT ...
Makoto Naoi, Koji Tamaribuchi, Kengo Shimojo, Shinya Katoh, Shukei Ohyanagi   +4 more
openaire   +2 more sources

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

International Meteorological and Hydrological Training and Its Evaluation at WMO RTC Nanjing

Procedia Environmental Sciences, 2012
AbstractThis paper deals with the international meteorological and hydrological training issue and its evaluation approach based on the teaching practice and experience during last twenty years at World Meteorological Organization Regional Training Centre (WMO RTC) in Nanjing.
Zhi, Xiefei, Yang, Hao, Zhang, Ling, Chen, Wen, Wang, Yong   +4 more
openaire   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Integration of sentinel surveillance and climate factors to accelerate malaria elimination in a changing climate of Senegal

Science in One Health
Background: Senegal is located in a malaria-endemic zone. Malaria is a highly climate-sensitive vector-borne disease, yet its sentinel surveillance shows a weak integration of malaria morbidity data with climatic factors.
Ibrahima Mamby Keita, Mariama Diouf, Medoune Ndiop, Boly Diop, Khaly Gueye, Marianne Kouawo, Ousmane Ndiaye, Doudou Sene, Elhadji Mamadou Ndiaye, Marie Khemesse Ngom Ndiaye   +9 more
doaj   +1 more source

Spartan Daily, October 18, 2002 [PDF]

, 2002
Volume 119, Issue 36https://scholarworks.sjsu.edu/spartandaily/10680/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +1 more source