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Jose M. Bernal-de-Lázaro
Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste...
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Muh Farid, Muhammad Fuad Anshori, Riccardo Rossi, Feranita Haring, Katriani Mantja, Andi Dirpan, Siti Halimah Larekeng, Marlina Mustafa, Adnan Adnan, Siti Antara Maedhani Tahara, Nirwansyah Amier, M. Alfan Ikhlasul Amal and Andi Isti Sakinah
The fruit weight is an important guideline for breeders and farmers to increase marketable productions, although conventionally it requires destructive measurements. The combination of image-based phenotyping (IBP) approaches with multivariate analysis h...
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Kate Carlson, Barbara P. Buttenfield and Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat...
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Milica Colovic, Anna Maria Stellacci, Nada Mzid, Martina Di Venosa, Mladen Todorovic, Vito Cantore and Rossella Albrizio
This study analyzed the capability of aerial RGB (red-green-blue) and hyperspectral-derived vegetation indices to assess the response of sweet maize (Zea mays var. saccharata L.) to different water and nitrogen inputs. A field experiment was carried out ...
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Enkeleda Lulaj, Blerta Dragusha, Eglantina Hysa and Marian Catalin Voica
This research investigates the synergistic relationship between sustainability and financial prosperity in businesses, specifically focusing on the impact of consumers on profit growth in Kosovo and Albania. The study aims to understand consumers? percep...
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Stefan Krajewski, Jan ?ukovskis, Dariusz Gozdowski, Marek Cieslinski and Elzbieta Wójcik-Gront
This study comprehensively analyzed the dynamic landscape of organic farming in the European Union (EU) from 2004 to 2021, investigating the shifts in dedicated agricultural areas influenced by evolving preferences and the priorities of farmers and consu...
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Z. Jason Hou, Nicholas D. Ward, Allison N. Myers-Pigg, Xinming Lin, Scott R. Waichler, Cora Wiese Moore, Matthew J. Norwood, Peter Regier and Steven B. Yabusaki
The influence of coastal ecosystems on global greenhouse gas (GHG) budgets and their response to increasing inundation and salinization remains poorly constrained. In this study, we have integrated an uncertainty quantification (UQ) and ensemble machine ...
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Yang Liu and Qianqian Zhang
Analyzing 165 data from five national control sites in Baiyangdian Lake, this study unveils its spatiotemporal pattern of water quality. Utilizing machine learning and multivariate statistical techniques, this study elucidates the effects of rainfall and...
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Sachin Gowda, Vaishakh Kunjar, Aakash Gupta, Govindaswamy Kavitha, Bishnu Kant Shukla and Parveen Sihag
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional labora...
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Intan Filzah Mahmod, Saharshini Jeyasimman, Muhamad Shakirin Mispan, Farahaniza Supandi, Alfi Khatib and Mohd Zuwairi Saiman
Weedy rice (Oryza spp.) is a notorious weed that invades paddy fields and hampers the rice?s production and yield quality; thus, it has become a major problem for rice farmers worldwide. Weedy rice comprises a diverse morphology and phenotypic variation;...
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