Results 121 to 130 of about 70,613 (293)

Loss Adaptive Curriculum Learning for Ground-Based Cloud Detection

Remote Sensing
While deep learning has advanced object detection through hierarchical feature learning and end-to-end optimization, conventional random sampling paradigms exhibit critical limitations in addressing hyperspectral ambiguity and low-distinguishability ...
Tianhong Qi, Yanyan Hu, Juan Wang
doaj   +1 more source

E-portfolio MSC indicator for a virtual learning environment [PDF]

, 2017
This study was conducted to identify indicators for the use of e-portfolio for a virtual learning environment in the Malaysian Skills Certification (MSC) system. The approach is through a modified Delphi technique run in three stages.
Abd Baser, Jamil, Masran, Saiful Hadi, Nur Yunus, Faizal Amin, Rahim, Mohd Bekri, Ruhizan, M. Y.   +4 more
core  

Multi‐Country‐Multi‐City Characterisation of Heat Stress and Exposure in Africa

International Journal of Climatology, EarlyView.
This study provides the first continent‐wide, grid‐specific assessment of heat stress trends in Africa, revealing a sharp rise in multi‐scale extreme heat episodes and shifting population exposure. Findings highlight urgent implications for urban planning and climate adaptation.
Tobi Eniolu Morakinyo, Oluwafemi E. Adeyeri, Mojolaoluwa Toluwalase Daramola, Bobde Vishal, Kazeem Abiodun Ishola, Oluwafemi Benjamin Obe, Emmanuel Olaoluwa Eresanya, Akintomide Afolayan Akinsanola, Charles Onyutha, Brian Odhiambo Ayugi, Patricia Nying'uro   +10 more
wiley   +1 more source

Assessing future flood hazards in the major rivers of Bangladesh using CMIP6 projections and integrated hydrologic-hydraulic modeling

Applied Computing and Geosciences
Climate change is expected to significantly alter flood dynamics in Bangladesh, one of the world's most flood-prone countries. Yet quantitative assessments of future flood hazards in this region remain sparse.
Aishia Fyruz Aishi, Md Kamruzzaman Tusar, Md Ariful Islam   +2 more
doaj   +1 more source

Incorporating Crowdsourced Data Into Operational Products: A Perspective From a National Meteorological Service

International Journal of Climatology, EarlyView.
Future advances in the fields of meteorology and climate science will require scientists to increasingly strive towards the provision of new high‐resolution services. In this context, the development of new products and services along the weather chain may greatly benefit from the adoption of second‐and‐third‐party data (23PD) as a source of high ...
Irene Garcia‐Marti, Christopher W. Brown, Alessandro Spinuso, Gijsbert Kruithof, Theo Brandsma, Jan Willem Noteboom   +5 more
wiley   +1 more source

DroughtScape- Spring 2017 [PDF]

, 2017
CONTENTS Drought center helps islands reduce drought vulnerability.......... 2 2017 sees above-average precipitation, warmer temps.......... 3 California pulls out of drought............. 4 After tech transfer, training Tunisia launches first drought map.
, National Drought Mitigation Center
core   +1 more source

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source

Crisis Preparation, Capacity Building, and Community Resilience: Lessons From Maui

Nonprofit Management and Leadership, EarlyView.
ABSTRACT The 2023 Maui wildfires provide a unique context to explore the impact of nonprofit crisis networks taking a proactive role in community crisis response, leveraging resources, expertise, and networks. The Hawaiʻi Community Foundation (HCF) has been a key player in Maui's local response, providing critical support, mobilizing volunteers, and ...
Lauren Azevedo, Kaila Witkowski, Ratna Dougherty, Christa Remington   +3 more
wiley   +1 more source

KANs Layer Integration: Benchmarking Deep Learning Architectures for Tornado Prediction

Big Data and Cognitive Computing
Tornado occurrence and detection are well established in mesoscale meteorology, yet the application of deep learning (DL) to radar-based tornado detection remains nascent and under-validated.
Shuo (Luna) Yang, Ehsaneh Vilataj, Muhammad Faizan Raza, Satish Mahadevan Srinivasan   +3 more
doaj   +1 more source

Improving Precipitation Estimation Using Convolutional Neural Network [PDF]

, 2019
Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate precipitation with model resolved dynamics, often provide more accurate precipitation estimates
AghaKouchak, A, Hsu, K, Pan, B, Sorooshian, S   +3 more
core