Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses

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Control of CO2 vibrational dynamics via shaped-pulse coherent anti-Stokes Raman spectroscopy by Hendriks, Adriaan Jacobus

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Ubiquitous mesh networking : application to mobile communication and information dissemination in a rural context by Maliwatu, Richard

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A Two-Phase Method for Solving Transportation Models with Prohibited Routes by Owusu-Ansah, Emmanuel, Ackora-Prah, Joseph, Acheson, Valentine, Barnes, Benedict, Takyi, Ishmael

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Modeling of generalized families of probability distribution in the quantile statistical universe

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Optimising pressure profiles in superplastic forming

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Wind plant annual energy production maximisation and efficiency improvement with considerations for thrust and turbulence intensity by Charles, Mfon Okokon

“…To exploit this feature, this study proposes and implements an axial induction-based cooperative power maximisation for annual energy production (AEP) maximisation in a hexagonally deployed multi-directional wind site with space restrictions, using particle swarm optimization (PSO) and genetic algorithm (GA). Initial results confirm a significant increase in wind plant power and AEP, accompanied by increase in turbine-level turbulence intensity, thrust coefficient, and thrust as consequences imposed by the unconstrained optimisation-enhanced power increments. …”
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AN EFFICIENT INTERFERENCE AVOIDANCE SCHEME FOR DEVICE-TODEVICE ENABLED FIFTH GENERATION NARROWBAND INTERNET OF THINGS NETWOKS’ by unknown

“…Second, a bisection search approach is used to find the best power control that maximizes the network sum rate, and third, the Hungarian algorithm is used to build a maximum bipartite matching strategy to choose the optimal pairing pattern between the sets of NUEs and the D2D pairs. …”
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Investigation and design of a slotted waveguide antenna with low 3D sidelobes by Maritz, Andries Johannes Nicolaas

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The stoichiometry and kinetics of biological heat generation in the aerobic stage of dual digestion by Messenger, John

“…Also, the observed results are generalized and, based on the observed general principles, a design procedure and a simulation algorithm and computer programme for pure oxygen and air oxygenated reactors are developed, in accordance with objectives (1) to (3) above.…”
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Evaluation of a high-pole number reluctance synchronous wind generator technology by Baziruwiha, Jean-Claude

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Enhancing the conservation of freshwater biodiversity through improved freshwater conservation planning techniques by Nel, Jeanne Lindsay

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A new connectivity strategy for wireless mesh networks using dynamic spectrum access by Maliwatu, Richard

“…For hybrid links comprising radios with significantly unequal data-rates, this study proposes an adaptive round-robin (ARR) based algorithm for efficient multilink utilisation. Numerical analysis indicate that ARR provides 75 % throughput improvement. …”
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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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Investigation of the effects of image compression on the geometric quality of digital protogrammetric imagery by Kwabena-Forkuo, Eric

“…Image compression is a necessity for the utilisation of large digital images in softcopy photogrammetry, remote sensing, and multimedia GIS. …”
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Computational intelligent systems : evolving dynamic Bayesian networks by Osunmakinde, Isaac Olusegun

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An object-oriented library for shared-memory parallel simulations by Machanick, Philip

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Development of a FEM waveguide code, incorporating Fast Frequency Techniques, for numerical synthesis by Clarke, Samuel R. (Samuel Robert)

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Diagnosis and prognosis of rolling element bearings at low speeds and varying load conditions using higher order statistics and artificial intelligence

“…For example, different colours of light emitting diode (LED) could be used to indicate the types of faults, such that a non-expert or a simple classification algorithm may interpret the result. Empirical models include the fields of regression and classification which are also collectively referred to as supervised learning and is dependent on its construction or optimization on large sets of representative data. …”
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Energy-efficient adaptive data rate optimisation scheme for LoRaWAN

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