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Remote health monitoring and diagnosis in the time of COVID-19 | 2020 | arXiv preprint arXiv:2005.08537, 2020 | 0 | 0bg-uVgAAAAJ:HbR8gkJAVGIC | McSharry | CMU-Africa | [
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Reply to Commentaries | 2009 | Foresight: The International Journal of Applied Forecasting, 1-39, 2009 | 0 | 0bg-uVgAAAAJ:3s1wT3WcHBgC | McSharry | CMU-Africa | [
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Review of" System Modeling in Cellular Biology: From Concepts to Nuts and Bolts" by Szallasi, Stelling and Periwal | 2007 | BioMedical Engineering OnLine 6, 4, 2007 | 0 | 0bg-uVgAAAAJ:_Ybze24A_UAC | McSharry | CMU-Africa | [
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Robust fundamental frequency estimation in sustained vowels using ensembles‖ | 2012 | IEEE Transactions on Audio, Speech, and Language Processing, 2012 | 5 | 0bg-uVgAAAAJ:RGFaLdJalmkC | McSharry | CMU-Africa | [
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Robust parsimonious selection of dysphonia measures for telemonitoring of Parkinson's disease symptom severity. | 2011 | MAVEBA, 169-172, 2011 | 16 | 0bg-uVgAAAAJ:hC7cP41nSMkC | McSharry | CMU-Africa | [
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|
SPECIAL ISSUE ON EPILEPTIC SEIZURE PREDICTION | 2003 | 0 | 0bg-uVgAAAAJ:SeFeTyx0c_EC | McSharry | CMU-Africa | [
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|
Setting the stage: growth and convergence in Ethiopia | 2022 | Ethiopia’s Great Transition: The Next Mile-Country Economic Memorandum, 10-25, 2022 | 0 | 0bg-uVgAAAAJ:FPJr55Dyh1AC | McSharry | CMU-Africa | [
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Short-term load forecasting methods: An evaluation based on european data | 2007 | IEEE Transactions on Power Systems 22 (4), 2213-2219, 2007 | 746 | 0bg-uVgAAAAJ:Tyk-4Ss8FVUC | McSharry | CMU-Africa | [
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Simplified methods of assessing the impact of grid frequency dynamics upon generating plants | 1996 | 0 | 0bg-uVgAAAAJ:bFI3QPDXJZMC | McSharry | CMU-Africa | [
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|
Simulating half-hour temperatures at Kent Town, South Australia | 2007 | Report for Electricity Supply Industry Planning Council (SA). Monash …, 2007 | 8 | 0bg-uVgAAAAJ:TQgYirikUcIC | McSharry | CMU-Africa | [
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Site-Specific Density Forecasting of UK Daily Rainfall: Generalised Linear Models versus Ensembles | 2007 | Monthly Weather Review, 2007 | 2 | 0bg-uVgAAAAJ:isC4tDSrTZIC | McSharry | CMU-Africa | [
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Spatio-temporal analysis of nucleate pool boiling: identification of nucleation sites using non-orthogonal empirical functions | 2002 | International Journal of Heat and Mass Transfer 45 (2), 237-253, 2002 | 20 | 0bg-uVgAAAAJ:Zph67rFs4hoC | McSharry | CMU-Africa | [
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Statistical analysis and mapping of the Unified Parkinson’s Disease Rating Scale to Hoehn and Yahr staging | 2012 | Parkinsonism & related disorders 18 (5), 697-699, 2012 | 43 | 0bg-uVgAAAAJ:e5wmG9Sq2KIC | McSharry | CMU-Africa | [
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Stochastic power generation | 2013 | DTU International Energy Report 2013: Energy storage options for future …, 2013 | 2 | 0bg-uVgAAAAJ:B3FOqHPlNUQC | McSharry | CMU-Africa | [
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Stranded assets in agriculture: Protecting value from environment-related risks | 2013 | Stranded assets in agriculture: protecting value from environment-related risks, 2013 | 178 | 0bg-uVgAAAAJ:eJXPG6dFmWUC | McSharry | CMU-Africa | [
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Stream Analytics for Forecasting. | 2012 | Foresight: The International Journal of Applied Forecasting, 2012 | 6 | 0bg-uVgAAAAJ:EUQCXRtRnyEC | McSharry | CMU-Africa | [
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Stroboscopic method for detecting complex dynamics in disordered speech | 2006 | IEEE Trans. Biomed. Eng 1, 1-6, 2006 | 11 | 0bg-uVgAAAAJ:-f6ydRqryjwC | McSharry | CMU-Africa | [
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Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease | 2008 | Nature Precedings, 1-1, 2008 | 1,345 | 0bg-uVgAAAAJ:qjMakFHDy7sC | McSharry | CMU-Africa | [
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Sun spot forecasts from cross-pollination in time (CPT) ensemble forecasting | 2003 | EGS-AGU-EUG Joint Assembly, 4429, 2003 | 0 | 0bg-uVgAAAAJ:1sJd4Hv_s6UC | McSharry | CMU-Africa | [
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System and Method for Communicating Environmentally-Based Medical Advice | 2009 | US Patent App. 12/084,952, 2009 | 113 | 0bg-uVgAAAAJ:abG-DnoFyZgC | McSharry | CMU-Africa | [
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System economics: Overcoming the pitfalls of forecasting models via a multidisciplinary approach | 2009 | International Journal of Forecasting 25 (4), 734-743, 2009 | 72 | 0bg-uVgAAAAJ:0EnyYjriUFMC | McSharry | CMU-Africa | [
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Szallasi Zoltan, Stelling Jörg, Periwal Vipul: System Modeling in Cellular Biology: From Concepts to Nuts and Bolts. Boston: The MIT Press; 2006. 480 pages, ISBN-10: 0262195488 … | 2007 | BioMedical Engineering OnLine 6, 1-2, 2007 | 0 | 0bg-uVgAAAAJ:rO6llkc54NcC | McSharry | CMU-Africa | [
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TELEMEDICINE TO ASSIST PATIENT UNDERSTANDING OF ATMOSPHERIC INFLUENCE ON LUNG FUNCTION AND IMPROVE REALTIME CONTROL OF MILD-TO-MODERATE ASTHMATICS | 2006 | Oxford, UK, 2006 | 1 | 0bg-uVgAAAAJ:dshw04ExmUIC | McSharry | CMU-Africa | [
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TEMPORAL TRENDS OF HIV PREVALENCE IN SUB-SAHARAN AFRICA | 2023 | JP Journal of Biostatistics, 2023 | 0 | 0bg-uVgAAAAJ:PoWvk5oyLR8C | McSharry | CMU-Africa | [
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THE EFFECT OF LOCAL WEATHER CONDITIONS ON THE LUNG FUNCTION OF MILD-TO-MODERATE ASTHMATICS | null | 0 | 0bg-uVgAAAAJ:KxtntwgDAa4C | McSharry | CMU-Africa | [
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Testing the assumptions of linear prediction analysis in normal vowels | 2006 | The Journal of the Acoustical Society of America 119 (1), 549-558, 2006 | 47 | 0bg-uVgAAAAJ:_FxGoFyzp5QC | McSharry | CMU-Africa | [
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The Applicability of Empirical Prediction Intervals to Energy Forecasting | 2016 | Energy: Expectations and Uncertainty, 39th IAEE International Conference …, 2016 | 0 | 0bg-uVgAAAAJ:PELIpwtuRlgC | McSharry | CMU-Africa | [
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The danger of wishing for chaos | 2016 | Nonlinear dynamical systems analysis for the behavioral sciences using real …, 2016 | 26 | 0bg-uVgAAAAJ:ZeXyd9-uunAC | McSharry | CMU-Africa | [
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The economic cost of conflict: Evidence from South Sudan | 2021 | Review of Development Economics 25 (4), 1969-1990, 2021 | 15 | 0bg-uVgAAAAJ:Ug5p-4gJ2f0C | McSharry | CMU-Africa | [
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The power of twitter on predicting box office revenues | 2012 | 2 | 0bg-uVgAAAAJ:V3AGJWp-ZtQC | McSharry | CMU-Africa | [
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The role of scientific modelling and insurance in providing innovative solutions for managing the risk of natural disasters | 2014 | Reducing Disaster: Early Warning Systems For Climate Change, 325-338, 2014 | 7 | 0bg-uVgAAAAJ:5Ul4iDaHHb8C | McSharry | CMU-Africa | [
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The role of scientific modelling and the insurance industry in providing innovative solutions for climate change | null | 0 | 0bg-uVgAAAAJ:tS2w5q8j5-wC | McSharry | CMU-Africa | [
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|
Univariate Methods for Short‐Term Load Forecasting | 2017 | Advances in electric power and energy systems: Load and price forecasting, 17-40, 2017 | 19 | 0bg-uVgAAAAJ:eMMeJKvmdy0C | McSharry | CMU-Africa | [
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Use of Machine Learning Techniques to Identify HIV Predictors for Screening | 2020 | 2 | 0bg-uVgAAAAJ:ML0RJ9NH7IQC | McSharry | CMU-Africa | [
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|
Use of machine learning techniques to create a credit score model for airtime loans | 2020 | Journal of Risk and Financial Management 13 (8), 180, 2020 | 34 | 0bg-uVgAAAAJ:Z5m8FVwuT1cC | McSharry | CMU-Africa | [
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Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa | 2021 | BMC medical research methodology 21, 1-11, 2021 | 60 | 0bg-uVgAAAAJ:TIZ-Mc8IlK0C | McSharry | CMU-Africa | [
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Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa | 2023 | BMC Infectious Diseases 23 (1), 482, 2023 | 6 | 0bg-uVgAAAAJ:i2xiXl-TujoC | McSharry | CMU-Africa | [
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Using Natural Language Processing for Automating the Identification of Climate Action Interlinkages within the Sustainable Development Goals | 2022 | 1 | 0bg-uVgAAAAJ:e_rmSamDkqQC | McSharry | CMU-Africa | [
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|
Using machine learning and remote sensing to value property in Rwanda | 2020 | International Growth Centre, 2020 | 9 | 0bg-uVgAAAAJ:vDijr-p_gm4C | McSharry | CMU-Africa | [
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Using machine learning to value property in Kigali, Rwanda | 2019 | 1 | 0bg-uVgAAAAJ:yB1At4FlUx8C | McSharry | CMU-Africa | [
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|
Using the cellular mobile telephone network to remotely monitor parkinsons disease symptom severity | 2012 | IEEE Transactions on Biomedical Engineering 9, 2012 | 26 | 0bg-uVgAAAAJ:BqipwSGYUEgC | McSharry | CMU-Africa | [
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Validation and forecasting accuracy in models of climate change: Comments | 2011 | International Journal of Forecasting 27 (4), 996-999, 2011 | 3 | 0bg-uVgAAAAJ:UxriW0iASnsC | McSharry | CMU-Africa | [
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Variational integration for speech signal processing | 2004 | 4 | 0bg-uVgAAAAJ:_Qo2XoVZTnwC | McSharry | CMU-Africa | [
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|
Wind power density forecasting using ensemble predictions and time series models | 2009 | IEEE Transactions on Energy conversion 24 (3), 775-782, 2009 | 454 | 0bg-uVgAAAAJ:IjCSPb-OGe4C | McSharry | CMU-Africa | [
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Windstorm risk assessment for offshore wind farms in the North Sea | 2019 | Wind Energy 22 (9), 1219-1229, 2019 | 12 | 0bg-uVgAAAAJ:XD-gHx7UXLsC | McSharry | CMU-Africa | [
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difference is zero when both home and away teams are from the same altitude, is positive when the home team is normally resident at altitude and the away team has traveled up … | 2010 | Scandinavian Journal of Medicine & Science in Sports 18 (s1), 85-95, 2010 | 0 | 0bg-uVgAAAAJ:9pM33mqn1YgC | McSharry | CMU-Africa | [
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A global analysis of the effectiveness of policy responses to COVID-19 | 2023 | Scientific Reports 13 (1), 5629, 2023 | 39 | 0bg-uVgAAAAJ:WZBGuue-350C | McSharry | CMU-Africa | [
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A Hybrid Topology For Next Generation 5G Dense HetNets | null | Terrain 100, 6, 0 | 0 | LMW7_-YAAAAJ:Y0pCki6q_DkC | Mugume | CMU-Africa | [
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A Machine Learning Approach to Temporal Traffic-Aware Energy-Efficient Cellular Networks | 2020 | 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile …, 2020 | 1 | LMW7_-YAAAAJ:LkGwnXOMwfcC | Mugume | CMU-Africa | [
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A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centers | 2022 | International Conference on Technological Advancement in Embedded and Mobile …, 2022 | 0 | LMW7_-YAAAAJ:kNdYIx-mwKoC | Mugume | CMU-Africa | [
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A Power Sharing Scheme for the Yaka Prepaid Power System in Uganda | 2024 | 2024 IEEE 8th Energy Conference (ENERGYCON), 1-6, 2024 | 0 | LMW7_-YAAAAJ:MXK_kJrjxJIC | Mugume | CMU-Africa | [
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A smart environmental monitoring system for data centres using IOT and machine learning | 2023 | NM-AIST, 2023 | 2 | LMW7_-YAAAAJ:ULOm3_A8WrAC | Mugume | CMU-Africa | [
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A spatio-temporal sleep mode approach to improve energy efficiency in small cell DenseNets | 2021 | SAIEE Africa Research Journal 112 (3), 134-141, 2021 | 5 | LMW7_-YAAAAJ:UebtZRa9Y70C | Mugume | CMU-Africa | [
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A survey of 5G for rural broadband connectivity | 2021 | 2021 IST-Africa Conference (IST-Africa), 1-10, 2021 | 10 | LMW7_-YAAAAJ:roLk4NBRz8UC | Mugume | CMU-Africa | [
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An internet of things-based Smart Water Meter with machine learning-aided water quality assessment | 2023 | 2023 IEEE AFRICON, 1-6, 2023 | 3 | LMW7_-YAAAAJ:YsMSGLbcyi4C | Mugume | CMU-Africa | [
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Capacity and energy efficiency analysis of dense HetNets with biasing | 2015 | 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and …, 2015 | 1 | LMW7_-YAAAAJ:u5HHmVD_uO8C | Mugume | CMU-Africa | [
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Cooperative spectrum sensing for cognitive radio | 2013 | PQDT-UK & Ireland, 2013 | 5 | LMW7_-YAAAAJ:Zph67rFs4hoC | Mugume | CMU-Africa | [
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Cooperative spectrum sensing for green cognitive femtocell network | 2013 | 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and …, 2013 | 12 | LMW7_-YAAAAJ:2osOgNQ5qMEC | Mugume | CMU-Africa | [
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Deployment optimization of small cell networks with sleep mode | 2019 | IEEE transactions on vehicular technology 68 (10), 10174-10186, 2019 | 13 | LMW7_-YAAAAJ:d1gkVwhDpl0C | Mugume | CMU-Africa | [
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Design and Implementation of a Low-Cost LoRa-Based Sensor Node for Environmental Monitoring in Uganda | 2024 | 2024 IEEE Conference on Technologies for Sustainability (SusTech), 220-225, 2024 | 0 | LMW7_-YAAAAJ:3fE2CSJIrl8C | Mugume | CMU-Africa | [
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] |
Energy efficient deployment of dense heterogeneous cellular networks | 2015 | 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015 | 14 | LMW7_-YAAAAJ:zYLM7Y9cAGgC | Mugume | CMU-Africa | [
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Enhancing Energy Efficiency in Distributed Antenna Systems via Sleep Mode | null | 0 | LMW7_-YAAAAJ:hqOjcs7Dif8C | Mugume | CMU-Africa | [
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|
Green Communications: Large vs Small Cell Deployment | 2014 | International Conference on e-Infrastructure and e-Services for Developing …, 2014 | 1 | LMW7_-YAAAAJ:9yKSN-GCB0IC | Mugume | CMU-Africa | [
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Green heterogeneous cellular networks | 2016 | PQDT-UK & Ireland, 2016 | 4 | LMW7_-YAAAAJ:IjCSPb-OGe4C | Mugume | CMU-Africa | [
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International Journal of Technoscience and Development (IJTD) | null | 0 | LMW7_-YAAAAJ:5nxA0vEk-isC | Mugume | CMU-Africa | [
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|
Internet in Africa?:(A) bort,(R) etry,(F) ail; a compilation of three years experience working with community wireless networks in Africa | 2009 | IT46, Åkersberga, SE, 2009 | 0 | LMW7_-YAAAAJ:qjMakFHDy7sC | Mugume | CMU-Africa | [
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Leveraging TV white spaces for rural broadband connectivity | 2021 | 2021 IST-Africa Conference (IST-Africa), 1-8, 2021 | 1 | LMW7_-YAAAAJ:W7OEmFMy1HYC | Mugume | CMU-Africa | [
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Location and Density Optimisation of a Two-Tier NOMA-Based 5G HetNet | 2023 | 2023 IEEE AFRICON, 1-6, 2023 | 0 | LMW7_-YAAAAJ:Se3iqnhoufwC | Mugume | CMU-Africa | [
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Machine learning based driver monitoring system: A case study for the Kayoola EVS | 2023 | SAIEE Africa Research Journal 114 (2), 40-48, 2023 | 9 | LMW7_-YAAAAJ:ufrVoPGSRksC | Mugume | CMU-Africa | [
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Poster: Analysis of the Internet Ecosystem in East Africa: DNS resolution, ASN peering, and Utilization of IXPs. | 2024 | Proceedings of the 2024 ACM on Internet Measurement Conference, 785-786, 2024 | 0 | LMW7_-YAAAAJ:KlAtU1dfN6UC | Mugume | CMU-Africa | [
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SAIEE Africa Research Journal | 2023 | 0 | LMW7_-YAAAAJ:0EnyYjriUFMC | Mugume | CMU-Africa | [
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|
SAIEE Africa Research Journal | 2021 | 0 | LMW7_-YAAAAJ:_FxGoFyzp5QC | Mugume | CMU-Africa | [
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|
SAIEE Africa Research Journal | 2020 | 0 | LMW7_-YAAAAJ:WF5omc3nYNoC | Mugume | CMU-Africa | [
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|
Sleep mode mechanisms in dense small cell networks | 2015 | 2015 IEEE International Conference on Communications (ICC), 192-197, 2015 | 36 | LMW7_-YAAAAJ:u-x6o8ySG0sC | Mugume | CMU-Africa | [
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Smart metering technologies for mini grids in Africa: An Overview | 2021 | 2021 IEEE PES/IAS PowerAfrica, 1-5, 2021 | 4 | LMW7_-YAAAAJ:8k81kl-MbHgC | Mugume | CMU-Africa | [
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Spectral and energy efficiency analysis of dense small cell networks | 2015 | 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-5, 2015 | 16 | LMW7_-YAAAAJ:Tyk-4Ss8FVUC | Mugume | CMU-Africa | [
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The case for Sleep Mode in Distributed Antenna Systems | null | 0 | LMW7_-YAAAAJ:eQOLeE2rZwMC | Mugume | CMU-Africa | [
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|
User association in energy-aware dense heterogeneous cellular networks | 2017 | IEEE Transactions on Wireless Communications 16 (3), 1713-1726, 2017 | 19 | LMW7_-YAAAAJ:UeHWp8X0CEIC | Mugume | CMU-Africa | [
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A Comparative Analysis of Deep Learning Models for Malaria Plasmodium Classification | 2024 | 2024 31st IEEE International Conference on Electronics, Circuits and Systems …, 2024 | 0 | rVFrmkQAAAAJ:ufrVoPGSRksC | Mukamakuza | CMU-Africa | [
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A data management model for Malaria control: a case of Rwanda | 2023 | 2023 IEEE AFRICON, 1-6, 2023 | 5 | rVFrmkQAAAAJ:W7OEmFMy1HYC | Mukamakuza | CMU-Africa | [
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A dependable digital system model for malaria monitoring | 2022 | 2 | rVFrmkQAAAAJ:zYLM7Y9cAGgC | Mukamakuza | CMU-Africa | [
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|
A new time-dependent algorithm for post enrolment-based course timetabling problem | 2016 | 2016 Eighth International Conference on Advanced Computational Intelligence …, 2016 | 3 | rVFrmkQAAAAJ:UeHWp8X0CEIC | Mukamakuza | CMU-Africa | [
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Analyzing social influence in recommender systems | 2020 | Technische Universität Wien, 2020 | 0 | rVFrmkQAAAAJ:IjCSPb-OGe4C | Mukamakuza | CMU-Africa | [
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Analyzing the impact of social connections on rating behavior in social recommender systems | 2017 | Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 4 | rVFrmkQAAAAJ:2osOgNQ5qMEC | Mukamakuza | CMU-Africa | [
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Binary Segmentation of Malaria Parasites Using U-Net Segmentation Approach: A Case of Rwanda | 2024 | International Congress on Information and Communication Technology, 163-176, 2024 | 2 | rVFrmkQAAAAJ:WF5omc3nYNoC | Mukamakuza | CMU-Africa | [
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Discrete Cosine Coefficients as Images features for Fire Detection based on Computer Vision. | 2014 | J. Comput. 9 (2), 295-300, 2014 | 2 | rVFrmkQAAAAJ:u-x6o8ySG0sC | Mukamakuza | CMU-Africa | [
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Dynamic reducts computation analysis based on rough sets | 2014 | 2014 10th International Conference on Natural Computation (ICNC), 480-485, 2014 | 2 | rVFrmkQAAAAJ:9yKSN-GCB0IC | Mukamakuza | CMU-Africa | [
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Ecg-signals-based heartbeat classification: A comparative study of artificial neural network and support vector machine classifiers | 2024 | 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and …, 2024 | 4 | rVFrmkQAAAAJ:YsMSGLbcyi4C | Mukamakuza | CMU-Africa | [
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Fairness and diversity in social-based recommender systems | 2020 | Adjunct publication of the 28th ACM conference on user modeling, adaptation …, 2020 | 31 | rVFrmkQAAAAJ:d1gkVwhDpl0C | Mukamakuza | CMU-Africa | [
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Intelligent malaria detection and species classification: A case of rwanda | 2024 | International Congress on Information and Communication Technology, 507-520, 2024 | 2 | rVFrmkQAAAAJ:_FxGoFyzp5QC | Mukamakuza | CMU-Africa | [
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It-aided forecasting model for malaria spread for the developing world | 2023 | 2023 Conference on Information Communications Technology and Society (ICTAS …, 2023 | 2 | rVFrmkQAAAAJ:u5HHmVD_uO8C | Mukamakuza | CMU-Africa | [
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Mask R-CNN for Automated Multi-Species Malaria Parasite Detection | null | 0 | rVFrmkQAAAAJ:roLk4NBRz8UC | Mukamakuza | CMU-Africa | [
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|
Mining user behavior in social recommender systems | 2018 | Proceedings of the 8th International Conference on Web Intelligence, Mining …, 2018 | 6 | rVFrmkQAAAAJ:Y0pCki6q_DkC | Mukamakuza | CMU-Africa | [
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SVM Model-Based Digital System for Malaria Screening and Parasite Monitoring | 2023 | 2023 IEEE Third International Conference on Signal, Control and …, 2023 | 0 | rVFrmkQAAAAJ:eQOLeE2rZwMC | Mukamakuza | CMU-Africa | [
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The impact of social connections in personalization | 2019 | Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019 | 2 | rVFrmkQAAAAJ:Tyk-4Ss8FVUC | Mukamakuza | CMU-Africa | [
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The role of activity and similarity in rating and social behavior in social recommender systems | 2019 | International Journal on Artificial Intelligence Tools 28 (06), 1960004, 2019 | 6 | rVFrmkQAAAAJ:qjMakFHDy7sC | Mukamakuza | CMU-Africa | [
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The use of YOLOv5 as a malaria detection model for the developing world | 2024 | International Congress on Information and Communication Technology, 615-626, 2024 | 2 | rVFrmkQAAAAJ:LkGwnXOMwfcC | Mukamakuza | CMU-Africa | [
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