Triage and treatment of strategic and operational problems in a semiconductor equipment consumables manufacturing company by Griffith, James Ryan, 1970-

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Dataflow optimized overlays for FPGAs by Siddhartha

“…In particular, an asynchronous dynamic dataflow graph processor would map well to iterative problems from domains such as graph convolutional networks, molecular dynamics, and PageRank. …”
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Decision trees, random vector functional link neural network and their ensembles by Katuwal, Rakesh Kumar

“…However, randomization based neural networks such as Random Vector Functional Link (RVFL) neural network eschew these issues by randomly fixing some parts (parameters) of the network while optimizing the rest using a closed form solution or an iterative procedure. Ensemble of classifiers, also known as multiple classifier system, is a widely researched and frequently applied approach in machine learning. …”
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Cellular-resolution optical coherence tomography : low-cost, compact hand-held probe development and image analysis by Xie, Jun

“…I have designed and fabricated the first prototype using three-dimensional printing and will iteratively test and improve the imaging performances in future. …”
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Visual and lidar-based SLAM by variational bayesian methods by Jiang, Xiaoyue

“…Prevalent registration algorithms, Iterative Closest Point (ICP), and Normal Distributions Transform (NDT) are either computational demanding or sensitive to outliers, noise, and a portion of missing points. …”
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Architecture and algorithm development for generative adversarial networks by Yazici, Yasin

“…Both players update their own parameters, in an iterative manner, to satisfy their own objective. By playing this game, the generator learns to produce samples that are similar to the ones in the data distribution. …”
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Design of digital-intensive time-mode data converters based on delay correction utilising a time-to-digital converter by Kong, Junjie

“…However, the presence of a feedback loop increases the number of iterations and therefore reduces the sampling frequency of the proposed VTC. …”
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Robust and light-weight simultaneous localization and mapping for autonomous vehicles by Wang, Han

“…Moreover, we adopt non-iterative sensor motion estimation and distortion correction to reduce the computational cost. …”
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Edge processing in IoT using approximate and in-memory computing by Bose, Sumon Kumar

“…The proposed 9T-SRAM cell enables a 1-D projection of objects on the horizontal and vertical axes of an image. An iterative and selective search of the rising and falling edges of 1-D projection yields the coordinates of a bounding box encapsulating an object. …”
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The deep learning techniques applied to electromagnetic imaging via ground-penetrating radar by Dai, Qiqi

“…In GPR inverse problem, the recorded GPR data is used to reconstruct subsurface permittivity maps, of great significance for mapping the subsurface utilities as well as detecting, recognizing, and monitoring the subsurface objects and living entities (such as tree roots). Traditional iterative algorithms developed for reconstructing permittivity maps from GPR data suffer from high computational costs and low accuracy when applied to complex scenarios. …”
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Holistic teaching workload allocation for research-intensive universities by Roopchandani, Arpit

“…To resolve the problem of unallocated tutorials and labs, the workload limit was relaxed iteratively in a targeted manner until all unallocated tutorials and labs were dealt with while minimizing widespread overloading. …”
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Design of low-power gesture recognition system and self-organizing map processors by Lu, Yuncheng

“…In chapter 4, to improve the recognition accuracy under the complex background and reduce the processing latency of the system, we proposed a low-power HGR system with the following algorithmic improvements, including 1) color- and depth-based hand segmentation method, 2) bi-directional convolution-based feature extraction, and 3) iteration-free feature clustering algorithm. Additionally, to implement the aforementioned HGR algorithms with high power efficiency, the hardware architecture adopts the following optimizations, including 1) continuous low-power control of the computing-intensive modules, 2) fully-pipelined architecture for feature extraction and data clustering, and 3) computing-efficient cluster combiner without redundant comparison. …”
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Discrete–geometric functions associated to polyhedral cones and point sets by Wang, Xinli

“…We generalize Weiszfeld’s algorithm to find μ(r) through an iteration process for r ≥ 1. We prove that the μ-curve is invariant under rigid motions, and we conjecture that the nondegenerate μ-curve is uniquely determined by a point set. …”
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Information fusion and cooperative control for target search and localization in multi-agent sensor networks by Hu, Jinwen

“…Finally, we investigate the adaptive sensing for three-dimensional target tracking in MSNs based on measurements from the time-difference-of-arrival (TDOA) sensors. An iterated filtering algorithm combined with the Gauss-Newton method is applied to estimate the target location. …”
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Embedded computing techniques for vision-based lane change decision aid systems by Satzoda Ravi Kumar

“…The proposed method involves the systematic investigation of gradient magnitude histograms (GMH), gradient angle histograms (GAH) and Hough Transform (HT) iteratively to cater for varying prominence of lane markings. …”
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Ultra-low power signal processor for biomedical applications by Seyed Mohammad Ali Zeinolabedin

“…DFB is also a memory-intensive algorithm through which the whole input should be iteratively read, processed and stored back in the memory. …”
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Developments of fundamental locally one-dimensional finite-difference time-domain methods for transmission lines and lumped elements by Yang, Zaifeng

“…Since the conventional LOD-FDTD method is of first-order accuracy only, second-order temporal-accurate scheme for 3-D FLOD-FDTD method is also introduced to improve the accuracy for LOD-FDTD method with three split matrices. The main iterations of the proposed scheme comprise only one more procedure in addition to the existing three procedures. …”
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Human learning principles inspired particle swarm optimization algorithms by Muhammad Rizwan Tanweer

“…The perception is dynamically changed in every iteration for intelligent exploitation. The effect of human learning strategies on the particles has been studied using CEC2005 benchmark problems and the performance has been compared with the state-of-the-art PSO variants. …”
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Analysis of underground rock excavations accounting for uncertainty by Liu, Huaxin

“…The reliability analysis of single limit state is then extended to the system reliability evaluation which considers the interaction among different limit states. The iterative solution for a circular tunnel reinforced by end-anchored rockbolts is used to illustrate the system reliability analysis, in which the tensile force of the rockbolt, tunnel convergence and plastic zone size are considered as three performance functions. …”
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A framework of probabilistic 3D map fusion for collaborative robots by Yue, Yufeng

“…To incorporate the probability information, a novel error metric and optimization strategy need to be proposed. The Occupancy Iterative Close Point (OICP) algorithm combines positional coordinate with occupancy probability to register point cloud extracted from the 3D map. …”
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