Results 51 to 60 of about 1,723,588 (348)
Statistical Mechanics of High-Dimensional Inference [PDF]
Phys. Rev. X 6, 031034 (2016), 2016 To model modern large-scale datasets, we need efficient algorithms to infer a set of $P$ unknown model parameters from $N$ noisy measurements. What are fundamental limits on the accuracy of parameter inference, given finite signal-to-noise ratios, limited measurements, prior information, and computational tractability requirements?
arxiv +1 more source
Italian National Conference on Sensors, 2016 A robot-based three-dimensional (3D) measurement system is presented. In the presented system, a structured light vision sensor is mounted on the arm of an industrial robot.
Defeng Wu, Tianfei Chen, A. Li
semanticscholar +1 more source
Dental Press Journal of OrthodonticsObjectives: The accuracy and reliability of plaster models and digital models acquired with two different surface laser scanners were tested by means of three methods: measurement with calipers, digital measurement with proper software and ...
Leonardo Tavares Camardella +2 more
doaj +1 more source
Pesquisa Brasileira em Odontopediatria e Clínica Integrada, 2022 Objective: To verify the concordance in the evaluation of the apical limit of obturation (ALO) in filled root canals of primary teeth between digital and visual methods.
Maysa Lannes Duarte +6 more
doaj
Molecular Oncology, EarlyView.Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever +1 more
wiley +1 more source
Measurement accuracy and dependence on external influences of the iPhone X TrueDepth sensor
Other Conferences, 2019 Depth sensors for three-dimensional object acquisition are widely used and available in many different sizes and weight classes. The measuring method used and the measuring accuracy depend on the task to be performed.
A. Breitbarth +5 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Visualisation of air–water bubbly column flow using array Ultrasonic Velocity Profiler
Theoretical and Applied Mechanics Letters, 2017 In the present work, an experimental study of bubbly two-phase flow in a rectangular bubble column was performed using two ultrasonic array sensors, which can measure the instantaneous velocity of gas bubbles on multiple measurement lines.
Munkhbat Batsaikhan +2 more
doaj +1 more source
Data processing error accumulation of accelerator alignment control network
He jishu, 2021 BackgroundCompared with 2D+1D adjustment, three dimensional adjustment has a more rigorous theoretical basis. However, when the unconstrained three dimensional adjustment is applied to the observation values processing of the accelerator alignment ...
WANG Xiaolong +20 more
doaj +1 more source
Take 5: Interpretable Image Classification with a Handful of Features [PDF]
Progress and Challenges in Building Trustworthy Embodied AI
@NeurIPS, December 2022, 2023 Deep Neural Networks use thousands of mostly incomprehensible features to identify a single class, a decision no human can follow. We propose an interpretable sparse and low dimensional final decision layer in a deep neural network with measurable aspects of interpretability and demonstrate it on fine-grained image classification. We argue that a human
arxiv