Results 91 to 100 of about 3,437,660 (362)

Climate and microbial community composition drive shifts in ecosystem function along three parallel elevational gradients

Ecography, EarlyView.
Mountains are home to steep elevational gradients in environmental factors, biodiversity and ecosystem functionality. Though these gradients are tightly connected, little is known about the relative contribution of environmental and biotic factors in driving elevational changes in ecosystem functionality.
Congcong Shen, Michael K. Borregaard, Marcell K. Peters, Xin Jing, Akira S. Mori, Xinyu Xu, Zhi‐Ming Zhang, Lin Zhang, Jonathan M. Adams, Baodong Chen, Guo‐Xin Sun, Li‐Mei Zhang, Yuan Ge   +12 more
wiley   +1 more source

Participatory agro-climate information services: A key component in climate resilient agriculture [PDF]

, 2019
The brief promotes participatory agro-climate information services as a key component in achieving climate-smart agriculture. The brief emphasizes that actionable agro-climate information starts with—and responds to—gender-based needs of farmers ...
Beek, Robin aus der, Duong, Tuan M, Le, Hieu X, Le, Tam T, Madsen, Erik Junge, Nguyen, Yen T, Noorlander, Jan, Simelton, Elisabeth   +7 more
core  

Systematic Review of Flat Plate Photovoltaic Thermal Systems: Components, Efficiency, Monitoring, and Artificial Intelligence

Energy Technology, EarlyView.
This article presents a review of flat‐plate hybrid solar panels, focusing on four key aspects: system components, parameters affecting efficiency, monitoring, and applications of artificial intelligence. The use of hybrid solar panels represents a promising technology for the simultaneous generation of electrical and thermal energy from solar ...
Amy Zulema Velasco Bonilla, Luis Hernández‐Callejo, Alberto Redondo‐Plaza, Karen Paola Koh Martin, Víctor Alonso Gómez, Carlos Enrique Torres Aguilar, Angel Zorita Lamadrid, Alejandro del Amo Sancho, Ali Bassam   +8 more
wiley   +1 more source

Multilayered feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India

, 2006
In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network models.
A.J. Matthews, B. Men, B. Sivakumar, B. Sivakumar, B. Sivakumar, B. Widrow, B.G. Brown, C. Cartalis, C. Varotsos, C. Varotsos, C. Varotsos, C.P. Jacovides, D.S. Wilks, D.S. Wilks, E.H. Chin, J.B. Elsner, J.M. Gregory, K.Y. Kondratyev, K.Y. Kondratyev, L. Ferranti, M. Gevrey, M.J.C. Hu, M.W. Gardner, O.C. Clark, P. Guhathakurta, P. Perez, P. Perez, P.D. Sardeshmukh, P.R.C. Reddy, S. Gadgil, S. Haykin, S. Lee, S.K. Pal, S.M.S. Nagendra, S.V. Kamarthi, S.V. Kartalopoulos, Surajit Chattopadhyay, T. Shinoda, T.J. Sejnowski, T.M. Smith, W.W. Hsieh   +40 more
core   +1 more source

Determination of crop coefficients and optimum irrigation schedules for bidi tobacco and pearl millet crops in central Gujarat

Journal of Agrometeorology, 2012
An attempt was made to determine the rate of ETc and crop coefficients during various growth stages of bidi tobacco and pearl millet crops in central Gujarat by water balance approach.
B. KRISHNA RAO, GOPAL KUMAR, R. S. KUROTHE, VYAS PANDEY, P. K. MISHRA, A. K. VISHWAKARMA, M. J. BARAIYA   +6 more
doaj   +1 more source

The Observed Impact of the South Asian Summer Monsoon on Land-Atmosphere Heat Transfers and Its Inhomogeneity over the Tibetan Plateau

Remote Sensing, 2022
To promote Tibetan meteorological research, the third Tibetan Plateau (TP) Experiment for atmospheric sciences (TIPEX III) has been carried out over the plateau region since 2014, with near-surface heat fluxes measured at different sites.
Hongyi Li, Libo Zhou, Ge Wang
doaj   +1 more source

Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data

Complex, 2020
Today, artificial intelligence and deep neural networks have been successfully used in many applications that have fundamentally changed people’s lives in many areas.
Zao Zhang, Yuan Dong
semanticscholar   +1 more source

Dual Attention‐Empowered Bidirectional Long Short‐Term Memory Network for Short‐Term Electric Load Forecasting

Energy Technology, EarlyView.
The proposed study combined the dual attention mechanism with a bidirectional long short‐term memory network (DA‐BiLSTM) for short‐term load forecasting. This technique was tested on two electric load datasets to assess its generalizability. Additionally, the robustness of DA‐BiLSTM was illustrated through comparative analysis with other deep learning ...
Sabiha Rani, Ubaid Ahmed, Anzar Mahmood, Sohaib Manzoor, Sohail Razzaq, Umar Jamil, Muhammad Fahad Zia, Mohamed Benbouzid   +7 more
wiley   +1 more source

Spartan Daily, November 12, 1980 [PDF]

, 1976
Volume 75, Issue 52https://scholarworks.sjsu.edu/spartandaily/6688/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +8 more sources

Spartan Daily, November 7, 1980 [PDF]

, 1979
Volume 75, Issue 49https://scholarworks.sjsu.edu/spartandaily/6685/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +4 more sources