“…Registration algorithms achieved MDE errors from 8.1 ± 3.7 mm (worst) to 0.7 ± 0.5 mm (best), using ground-truth AS. Using the predicted AS from the 3D NN together with the best registration algorithm, an MDE of 2.7 ± 1.4 mm was achieved. …”
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“…The performance of the pipeline was tested computationally by virtually fitting outputted implant designs with ‘ground truth’ 3D models for each test subject’s bones. This demonstrated the pipeline was capable of repeatably producing highly accurate designs, and its performance was not impacted by subject sex, height, age, or knee side. …”
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“…Findings indicated by the AI-Rad and findings described in the written report (WR) were compared to the findings of a ground truth reading (consensus decision of two radiologists after assessing additional radiographs and CT scans). …”
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“…The contribution of this thesis starts with the validation of the event selection at the truth and reconstructed levels. Knowing that this is the most constraining ATLAS analysis in the pMSSM parameter space, those checks have been performed with particular care. …”
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“…DATA TYPE AND REPRESENTATIONS Positional Number Systems Number System Conversion Negative Numbers Binary Arithmetic Unconventional Number System Binary Codes Error Detecting and Correcting Codes CAD System BOOLEAN ALGEBRA Logic Operations Logic Functions from Truth Tables Boolean Algebra MINIMIZATION OF LOGIC FUNCTIONS Karnaugh Map Incompletely Specified Functions in K-Map K-Maps for Product-of-sum Form of Functions Map-entered Variables Hazards Single-output Q-M Tabular Reduction Multiple-output Q-M Tabular reduction                               LOGIC FUNCTION IMPLEMENTATION Introduction Functionally Complete Operation Sets NAND-only and NOR-only Implementations Function Implementation Using XOR and XNOR Logic Circuit Implementation Using Gate Arrays Logic Function Implementation Using Multiplexers Logic Function Implementation Using Demultiplexers andecoders Logic Function Implementation Using ROM Logic Function Implementation Using PLD Logic Function Implementation Using Threshold Logic Logic Function Implementation Using Transmission Gates INTRODUCTION TO VHDL VHDL Programming Environment Structural VHDL Functional VHDL Behavioral VHDL Hierarchical VHDL Logic Circuit Synthesis with Xilinx WebPACK ISE Project Navigator Simulation of Timing Characteristics Logic Circuit Implementation with FPGA Device DESIGN OF MODULAR COMBINATORIAL COMPONENTS Introduction Special-purpose Decoders and Encoders Code Converters Error-detecting and Error-correcting Circuits Binary Arithmetic Binary Subtraction High-Speed Addition BCD Arithmetic Comparators Combinatorial Circuit Design Using VHDL Arithmetic Logic Unit ALU Design Using VHDL SEQUENTIAL LOGIC ELEMENTS Latches Set-Reset Flip-Flop JK Flip-Flop Master-Slave Flip-Flop Edge-Triggered Flip-Flop Delay and Trigger Flip-Flop Monostable Flip-Flop Design of Sequential Elements Using VHDL Sequential Circuits SYNCHRONOUS SEQUENTIAL CIRCUITS Formalism Mealy and Moore Models Analysis of Sequential Circuits Equivalent States Incompletely Specified Sequential Circuits State Assignments Design Algorithm Synchronous Sequential Circuit Implementation Using VHDL MODULAR SEQUENTIAL COMPONENTS Synchronous Counters Registers Shift Registers as Counters Counter and Register Applications RTL Registers and Counters Using VHDL SEQUENTIAL ARITHMETIC Serial Adder/Subtracter Serial-Parallel Multiplication Fast Multiplication Implementation of Sequential Arithmetic in VHDL ASYNCHRONOUS SEQUENTIAL CIRCUITS Pulse Mode Circuits Fundamental Mode Circuits Cycles, Races, and Hazards Fundamental Mode Outputs INTRODUCTION TO TESTABILITY Controllability and Observability Deterministic Testability versus Random Testability Test of Integrated Circuits Fault Models Test Sets and Test Generation Topology-based Testability Analysis Simulation-based Testability Analysis Fault Analysis and Fault-based Testability Analysis Testability Matrices Design-for-Testability.…”
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“…We are interested in the detector response, or jet energy scale (JES), which is defined as the ratio of reco jet transverse momentum to truth jet transverse momentum pTreco/pTtruth. This quantity measures the fraction of the energy of a jet which is captured in the calorimeters. …”
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“…Or John Stadick, who equipped 600 sales staff with iPhones and boosted profits at his construction rental company. The truth is, one in three of your information workers already use easily accessible technologies that your company does not sanction. …”
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“…Many theoretical models have been proposed to account for the inadequacies in the standard model of particle physics. If there is any truth in these propositions, signs of these might show up in the debris of proton-proton collisions in the Large Hadron Collider (LHC) at CERN. …”
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“…The number of signal and background events is estimated from simulated particle-level truth information after applying smearing functions to mimic an upgraded ATLAS detector response in the HL-LHC environment. …”
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“…Thus, the experiences of mar ginalized communities offer the appropriation of the historical process and their ultimate reality as sights of truth. Recibido: 14 de diciembre de 2022 Dictaminado: 10 de marzo de 2023 Aceptado: 21 de marzo de 2023…”
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“…From that threshold it is sought here to situate the idea of a mimetic reason, whose relationship with the truth is founded on a consciousness form enabled by work done by the powers of the imagination and representation.Enviado a dictamen: 20 de noviembre 2021Aceptación: 4 de diciembre 2021…”
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“…The results show that the proposed algorithm performs better for tumor segmentation in MRI images as the SSIM value attained using the proposed hybrid segmentation approach is nearer to 1 when compared with ground truth images.…”
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“…Subcutaneous fat, skeletal muscle, and visceral fat were manually segmented by two experts to serve as ground truth labels. The performance of the model was evaluated using Dice similarity coefficients (DSCs) and Hausdorff distance at 95th percentile (HD95). …”
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“…For most organs at risk, the ME, MAE, and dosimetric parameters predicted by both models were concurrent with the ground truth values except the MAE values of the pituitary and optic chiasm in the ANAT model and the average mean dose of the right parotid in the ANAT model. …”
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“…Performance was quantified by various metrics (e.g., soft-Dice coefficient between predicted and ground-truth segmentations). We also quantified axon counts, axon density, and axon size distributions between hypertensive and control eyes and compared to literature reports. …”
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“…Despite their wide use, little work has been attempted to systematically compare their MS/MS spectral annotation performance in untargeted settings due to the lack of ground truth and the costs involved in running a large number of acquisitions. …”
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“…All the data used for the training/testing of the network and for generating ground truth (GT) maps, using a state-of-the-art deconvolution algorithm, were previously pre-processed using a pipeline for motion correction and filtering. …”
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“…We compared block-wise learning reconstructions against L1 wavelet compressed reconstructions and proxy ground truth images. Main results. MBDL with block-wise learning significantly improved image quality relative to L1 wavelet compressed sensing while simultaneously reducing average reconstruction time 38x. …”
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“…RESULTS: The mean ± SD pixel-wise distances from the predicted choroidal inner, outer boundary, and nulla to the ground truth were 1.40 ± 1.23, 5.40 ± 2.24, and 1.92 ± 1.13 pixels, respectively. …”
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