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Environment International, 2020 Activated sludge processes with an ultra-short sludge retention time (ultra-short-SRT) are considered to have potential for energy and resource recovery from wastewater.
Yuting Shao +11 more
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Framework to assess eco-efficiency improvement: Case study of a meat production industry
Energy Reports, 2021 The industry sector accounts for nearly a quarter of the total global final energy and heat makes up two-thirds of that parcel. Sectors such as food & drinks, steel, cement, ceramic and glass, among others represent a considerable part of the energy ...
Muriel Iten +2 more
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Data Augmentation for Low-Resource Neural Machine Translation [PDF]
, 2017 The quality of a Neural Machine Translation system depends substantially on the availability of sizable parallel corpora. For low-resource language pairs this is not the case, resulting in poor translation quality. Inspired by work in computer vision, we
Bisazza, Arianna +2 more
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Indian Journal of Respiratory Care, 2021 Globally, millions of people have been impacted with COVID-19. A fraction of these people develop severe respiratory distress and require prolonged intensive care unit stay.
Shraddha Shah
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Low-resource synchronous coincidence processor for positron emission tomography [PDF]
, 2011 We developed a new FPGA-based method for coincidence detection in positronemissiontomography. The method requires low device resources and no specific peripherals in order to resolve coincident digital pulses within a time window of a few nanoseconds ...
Andrés Santos +14 more
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AB-LaBSE: Uyghur Sentiment Analysis via the Pre-Training Model with BiLSTM
Applied Sciences, 2022 In recent years, more and more attention has been paid to text sentiment analysis, which has gradually become a research hotspot in information extraction, data mining, Natural Language Processing (NLP), and other fields.
Yijie Pei +4 more
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Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings [PDF]
, 2015 In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within the region of interest, possibly supplemented by remotely sensed images that can act as proxies ...
Diggle, Peter J., Giorgi, Emanuele
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Named Entity Recognition for Nepali: Data Sets and Algorithms
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Named Entity Recognition (NER) task involves locating Named Entities (NEs) in free text and classifying them into predefined categories such as Person Name, Location and Organization.
Nobal Niraula, Jeevan Chapagain
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Prevention of postpartum hemorrhage in low-resource settings: current perspectives. [PDF]
, 2013 BackgroundPostpartum hemorrhage (PPH) is the leading cause of maternal death in low-income countries and is the primary cause of approximately one-quarter of global maternal deaths.
Bell, Suzanne +2 more
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Applied Sciences, 2021 Automatic speech recognition in patients with aphasia is a challenging task for which studies have been published in a few languages. Reasonably, the systems reported in the literature within this field show significantly lower performance than those ...
Iván G. Torre +2 more
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