Shahariar Chowdhury, Kazi Sajedur Rahman, Tanjia Chowdhury, Narissara Nuthammachot et al.
End-of-life (EOL) solar panels may become a source of hazardous waste although there are enormous benefits globally from the growth in solar power generation. Global installed PV capacity reached around 400 GW at the end of 2017 and is expected to rise further to 4500 GW by 2050. Considering an aver...
Andreas Schmidt, Ana Ivanova, Mike S. Schäfer
Helge Bruelheide, Jürgen Dengler, Oliver Purschke, Jonathan Lenoir et al.
Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can f...
Yizhou Lin, Zhenhua Nie, Hongwei Ma
Lianlin Li, Hengxin Ruan, Che Liu, Ying Li et al.
Conventional microwave imagers usually require either time-consuming data acquisition, or complicated reconstruction algorithms for data post-processing, making them largely ineffective for complex in-situ sensing and monitoring. Here, we experimentally report a real-time digital-metasurface imager ...
John Hoddinott, Harold Alderman, Jere R. Behrman, Lawrence Haddad et al.
This paper outlines the economic rationale for investments that reduce stunting. We present a framework that illustrates the functional consequences of stunting in the 1000 days after conception throughout the life cycle: from childhood through to old age. We summarize the key empirical literature a...
Mariapia Mendola
Kazi Md. Rokibul Alam, Nazmul Siddique, Hojjat Adeli
This paper presents a novel dynamic ensemble learning (DEL) algorithm for designing ensemble of neural networks (NNs). DEL algorithm determines the size of ensemble, the number of individual NNs employing a constructive strategy, the number of hidden nodes of individual NNs employing a constructive–...
Asmaul Hosna, Ethel Merry, Jigmey Gyalmo, Zulfikar Alom et al.
Infinite numbers of real-world applications use Machine Learning (ML) techniques to develop potentially the best data available for the users. Transfer learning (TL), one of the categories under ML, has received much attention from the research communities in the past few years. Traditional ML algor...
Mark M. Pitt, Shahidur R. Khandker, Jennifer Cartwright
This article examines the effects of men’s and women’s participation in micro credit programs on various indicators of women’s empowerment using data from a special survey carried out in rural Bangladesh. These credit programs are well suited to studying how gender‐specific resources alter intrahous...
Ki‐Hyun Kim, Ehsanul Kabir, Shamin Ara Jahan
Exposure to mercury is a silent threat to the environment and human life. It has the potential to harm almost every organ and body system. Mercury compounds are classified in different chemical types such as elemental, inorganic, and organic forms. The most significant source of ingestion-related me...
Mohammad Shafenoor Amin, Yin Kia Chiam, Kasturi Dewi Varathan
Iqbal H. Sarker
The digital world has a wealth of data, such as internet of things (IoT) data, business data, health data, mobile data, urban data, security data, and many more, in the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR). Extracting knowledge or useful insights from these data can ...
Chandra Giri, Bruce W. Pengra, Zhiliang Zhu, Ashbindu Singh et al.
Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang et al.
Recent research on super-resolution has achieved great success due to the development of deep convolutional neural networks (DCNNs). However, super-resolution of arbitrary scale factor has been ignored for a long time. Most previous researchers regard super-resolution of differentscale factors as in...