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2“…A conceptual model was developed using C++ guided by the algorithm for load management. The model development was motivated by the research gap establish from the literature review and the problem faced by the Power utility in Zimbabwe in balancing demand and supply during peak periods. …”
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4by Chipindu, Lovemore“…The relationship was further addressed through the application of several methods namely the principal component analysis, generalized linear models, WinBugs model programming and the Markov Chain Monte Carlo Algorithm Approach. The major reason behind this project was to come up with conducive way which saves resource limited farmers of sheep in being charged exorbitant prices in trying to use the more advanced technology such as (DNA) in characterizing indigenous sheep.…”
Published 2019
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5by Sengweni, Whatmore“…The parameters of the model are estimated using Genetic Algorithms. Firms’ market shares have been used to reflect the competition among them. …”
Published 2017
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6by Kadzimu, Tapiwa“…The traditionally safer bus system is now underutilized and also ne sprouting illegal suburbs which are densely populated are being poorly serviced in terms of transport systems .this project seeks to bring an efficient solution for bus/transport allocation which is based on demand and fluctuations in demand during the whole day .it uses cameras and computer algorithms based on the open cv library suites to check bus stop status and alert the transport managers on which routes to prioritise as they can see the traffic profiles of different bus stops .computer learning ,human recognition and detection are the main concepts that are employed by this project to meet its objectives.…”
Published 2019
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7“…These tests were conducted to later draw parallels with a feature extraction algorithm for shack settlements. We found that the visual variables of ‘pattern’ and ‘shape’ display the most significant cognitive guide for shack boundary extraction. …”
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9“…We implement an ensemble model of three machine learning algorithms to predict current and future (2030s, 2050s, 2070s, and 2090s) suitability for each specialty coffee under four Shared Socio-economic Pathways (SSPs). …”
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10“…The disruptive technologies inform new teaching methodologies and the development of student-centered algorithms for learning. Further research includes privacy issues in the implementation of disruptive technologies and data-sharing governance issues and evaluating the effectiveness of artificial intelligence and blockchain-based learning platforms.…”
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11Ultra-low power techniques in energy harvesting wireless sensor networks: recent advances and issues“…Energy management and conservation are critical issues in EHWSNs, hence the need to develop energy harvesting-aware protocols and algorithms that facilitate perpetual network operation. …”
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12by Rebollo-Lopez, María Jose, Lelièvre, Joël, Alvarez-Gomez, Daniel, Castro-Piche, Julia, Martínez-Jiménez, Francisco, Papadatos, George, Kumar, Vinod, Colmenarejo, Gonzalo, Mugumbate, Grace, Hurle, Mark, Barroso, Vanessa, Young, Rob J, Martinez-Hoyos, María, González del Río, Rubén, Bates, Robert H, Lopez-Roman, Eva Maria, Mendoza-Losana, Alfonso, Brown, James R, Alvarez-Ruiz, Emilio, Marti-Renom, Marc A, Overington, John P, Cammack, Nicholas, Ballell, Lluís, Barros-Aguire, David“…The 50 most attractive compounds were then progressed for evaluation in three different predictive computational biology algorithms based on structural similarity or GSK historical biological assay data in order to determine their possible mechanisms of action. …”
Published 2022
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14by Mudereri, Bester Tawona, Abdel-Rahman, E.M., Dube, T., Landmann, T., Niassy, S., Tonnang, H.E.Z., Khan, Z.R.“…Our results demonstrated the unique potential of the relatively new multispectral sensors’ and machine learning algorithms as a tool to accurately discern companion crops from co-occurring maize in ‘push-pull’ plots.…”
Published 2021
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Presentation -
15by Aduvukha, Grace Rebecca, Abdel-Rahman, Elfatih M., Sichangi, Arthur W., Makokha, Godfrey Ouma, Landmann, Tobias, Mudereri, Bester Tawona, Tonnang, Henri E. Z., Dubois, Thomas“…Reference data of the dominant cropping patterns and non-croplands were collected. The GRRF algorithm was used to select the optimum variables in each scenario, and the RF was used to perform the classification for each scenario. …”
Published 2022
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16by Ritter A. Guimapi, Saliou Niassy, Bester Tawona Mudereri, Elfatih M. Abdel-Rahman, Ghislain T. Tepa-Yotto, Sevgan Subramanian, Samira A. Mohamed, Karl H. Thunes, Emily Kimathi, Komi Mensah Agboka, Manuele Tamò, Jean Claude Rwaburindi, Buyung Hadi, Maged Elkahky, May-Guri Sæthre, Yeneneh Belayneh, Sunday Ekesi, Segenet Kelemu, Henri E.Z. TonnangGet full text
Published 2023
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17by Kyalo, Richard, Abdel-Rahman, Elfatih M., Subramanian, Sevgan, Nyasani, Johnson O., Thiel, Michael, Jozani, Hossein J., Borgemeister, Christian, Mudereri, Bester Tawona, Landmann, Tobias“…The RF algorithm yielded an overall accuracy of 91.0%, representing high model performance in predicting the MLN severity levels in a complex cropping system. …”
Published 2021
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18by Zvatapiwa, Moyo“…The outcome demonstrates that the OOIA algorithm effectively extracts unpaved roads from satellite images.…”
Published 2018
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19by Firoz, Tabassum, Makanga, Prestige Tatenda, Nathan, Hannah L., Payne, Beth, Magee, Laura A.“…In this paper, we present three examples of 'reverse innovation' for maternal health: a low-cost, easy-to-use blood pressure device (CRADLE), a diagnostic algorithm (mini PIERS) and accompanying mobile app (PIERS on the Move), and a novel method for mapping maternal outcomes (MOM).…”
Published 2020
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