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Institution

University Of Energy And Natural Resources

EducationSunyani, Ghana
About: University Of Energy And Natural Resources is a education organization based out in Sunyani, Ghana. It is known for research contribution in the topics: Population & Climate change. The organization has 342 authors who have published 508 publications receiving 2752 citations.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: Support vector machine and artificial neural network were found to be the most used machine learning algorithms for stock market prediction.
Abstract: The stock market is a key pivot in every growing and thriving economy, and every investment in the market is aimed at maximising profit and minimising associated risk. As a result, numerous studies have been conducted on the stock-market prediction using technical or fundamental analysis through various soft-computing techniques and algorithms. This study attempted to undertake a systematic and critical review of about one hundred and twenty-two (122) pertinent research works reported in academic journals over 11 years (2007–2018) in the area of stock market prediction using machine learning. The various techniques identified from these reports were clustered into three categories, namely technical, fundamental, and combined analyses. The grouping was done based on the following criteria: the nature of a dataset and the number of data sources used, the data timeframe, the machine learning algorithms used, machine learning task, used accuracy and error metrics and software packages used for modelling. The results revealed that 66% of documents reviewed were based on technical analysis; whiles 23% and 11% were based on fundamental analysis and combined analyses, respectively. Concerning the number of data source, 89.34% of documents reviewed, used single sources; whiles 8.2% and 2.46% used two and three sources respectively. Support vector machine and artificial neural network were found to be the most used machine learning algorithms for stock market prediction.

171 citations

Journal ArticleDOI
Roy Burstein1, Nathaniel J Henry1, Michael Collison1, Laurie B. Marczak1  +663 moreInstitutions (290)
16 Oct 2019-Nature
TL;DR: A high-resolution, global atlas of mortality of children under five years of age between 2000 and 2017 highlights subnational geographical inequalities in the distribution, rates and absolute counts of child deaths by age.
Abstract: Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.

159 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the state of the art architectures, tools and methodologies in existing implementations of capsule networks highlights the successes, failures and opportunities for further research to serve as a motivation to researchers and industry players to exploit the full potential of this new field.

135 citations

Journal ArticleDOI
TL;DR: In this article, a review of the assessed potential renewable energy resources, their current exploitation status, and their potential contribution to the electricity supply of the country is presented, along with the existing policy and regulatory instruments to overcome those barriers, plus the current and expected future impacts of these instruments.
Abstract: For decades, Ghana’s economy has been fuelled by abundant inexpensive hydropower. As a developing economy, Ghana’s electricity demand has long been relatively low, though rising in recent times due to increasing economic growth, urbanization and industrial activities. However, the rapid demand growth, as well as periodic hydrological shocks, leaves the country increasingly reliant on expensive oil and gas-based generation power plants, with a resultant drain on the national economy. The main electricity generation company, the Volta River Authority, is not able to generate enough electricity for all the demand sectors. The electricity supply-demand margins - the difference between peak demand and available supply - of the country fall short of the recommended engineering practice and thus presents a high supply security risk. The country has been experiencing an increase in the frequency of power cuts over the last ten years. It is clear that Ghana will have to expand and diversify its generation capacity in order to improve supply security. This paper provides a review of the assessed potential renewable energy resources, their current exploitation status, and their potential contribution to the electricity supply of the country. The paper also presents the barriers to their utilization and the existing policy and regulatory instruments to overcome those barriers, plus the current and expected future impacts of these instruments. The results show that Ghana has several RES, such as wind, solar PV, mini hydro and modern biomass that can be exploited for electricity production. While their exploitation for electricity generation is currently very low, providing just 0.13% of the country’s generation, the review shows a great potential for RES generation to increase substantially over the next decade, looking at the government commitment and legal frameworks that are being put in place.

133 citations

Journal ArticleDOI
TL;DR: In this paper, the impact of climate change on future land suitability and how this can be addressed or integrated into ALSA methods is discussed, and the authors emphasize that incorporating current and future climate change projections in ALSA is the way forward for sustainable or optimum agriculture and food security.

127 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202318
202216
2021159
2020152
201975
201850