Energy-efficient adaptive data rate optimisation scheme for LoRaWAN

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Software packages performance evaluation of basic radar signal processing techniques by Frantz, Xavier

“…Although Julia performed extremely well in terms of speed, it utilized the most memory for the processing techniques. …”
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Clients' returning for cervical screening results : a focus group study exploring the reasons why women spontaneously return for their results at the Khayelitsha Cervical Cancer Sc... by Honikman, Simone

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Interference Management of Inband Underlay Device-toDevice Communication in 5G Cellular Networks by Boamah, Sharon Ampomaa

“…D2D communication underlaying a cellular network provides efficient utilisation of the scarce spectral resources, however, there is an introduction of interference emanating from the reuse of cellular channels by D2D pairs. …”
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Joint call admission control incorporating pricing for congestion control to enhance QoS and ensure revenue for network operators in next generation wireless networks by Kabahuma, Sarah

“…Joint Call Admission Control (JCAC) approach has been adopted to jointly allocate or handle the radio resources amongst the different RATs in an NGWN. A number of JCAC algorithms have been proposed in the literature with the objective of enabling efficient utilisation of the radio resources and ensuring that required QoS requirements are met . …”
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Efficient radio resource management in integrated terrestrial and non-terrestrial networks by Birabwa, Denise Joanitah

“…Moreover, the GA achieves a handoff probability of zero, unlike the RUA algorithm. Third, the proposed greedy heuristic and GA solutions to the user association subproblem utilise a central node that requires nearly-complete information, which may not be available in real-time. …”
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Detecting network attacks using high-resolution time series by Lorgat, Mohamed Wasim

“…The aim of this thesis is therefore to provide an underlying theory for understanding a single class of detection algorithms, in particular, anomaly-based network intrusion detection algorithms that utilise high-resolution time series data. …”
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A review of three machine learning models using UAV derived photogrammetry for detecting and measuring tree stumps by Hubbard, Alan John

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Efficient access network selection and data demand prediction for 5G systems by Paul, Udita

“…Firstly, an algorithm is proposed to select the best access network for a subscriber running single or group of applications. …”
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Project Leanness Score: A Machine Learning Approach by Said, Julia

“…The construction industry is known to have several inadequacies in resource utilization leading to cost and schedule overruns. One of the popular recent methods that attempts to eliminate these inadequacies is lean construction principles, techniques and tools. …”
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Improving the scalability of MAC protocols in wireless mesh network by Velempini, Mthulisi

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Machine learning methods for individual acoustic recognition in a species of field cricket by Dlamini, Gciniwe

“…The task of acoustic animal identifications thus requires the utilisation of models that are well suited for training large datasets. …”
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Process-based decomposition and multicore performance : case studies from Stringology

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Fast accurate diphone-based phoneme recognition by Du Preez, Marianne

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Machine Learning for Radio Frequency Interference Flagging by Harrison, Kyle

“…Predictions for unseen test data are compared between algorithms, different implementations of those algorithms and each dataset. …”
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Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems by Isaac, Bernard Nyakundi

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RF-EMF Radiation Exposure and Radio Resources Management in 5G Wireless Network by Ajibare, Adedotun Temitope

“…It proposed a power control algorithm that solves an optimisation problem formulated to minimise the EI while guaranteeing the QoS requirement of users. …”
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Automated analysis of digital medical images in cervical cancer screening: A systematic review by Ledwaba, Leshego

“…Furthermore, the systematic review summarized evidence of the algorithms which are being created utilizing portable devices, to circumvent constraints prohibiting wider implementation in LMICs (such as expensive diagnostic infrastructure). …”
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Niching strategies for particle swarm optimization

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Reconstruction of Functions From Non-uniformly Distributed Sampled Data in Shift-Invariant Frame Subspaces by Mkhaliphi, Mkhuseli Bruce

“…The impact of additive white Gaussian noise on the performance of the two algorithms is also investigated. The numerical tools utilized in this research consist of the theory of discrete irregular sampling, frames, and iterative techniques. …”
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