Results 281 to 290 of about 228,766 (352)

Instrumentation of a Rotary Tablet Machine

Journal of Pharmaceutical Sciences, 1968
The Manesty 45 station Rotapress was instrumented to measure compressional force, ejection force, and lower punch pulldown force. Various positions in the pressure linkage were monitored to determine the optimum location for compressional force measurement.
F W, Goodhart, G, Mayorga, M N, Mills, F C, Ninger   +3 more
openaire   +2 more sources

From Instruments to Governance Machines

2023
exaly   +2 more sources

Early identification of autism spectrum disorder by multi-instrument fusion: A clinically applicable machine learning approach.

Psychiatry Research, 2023
Autism spectrum disorder (ASD), developmental language disorder (DLD), and global developmental delay (GDD) are common neurodevelopmental disorders in early childhood; however, the differential diagnosis of these disorders is difficult because of ...
Qiuhong Wei, Xueli Xu, Ximing Xu, Q. Cheng   +3 more
semanticscholar   +1 more source

Instrumentation of an Automatic Capsule-Filling Machine

Journal of Pharmaceutical Sciences, 1977
Techniques similar to those used in instrumenting tablet presses were applied to an automatic capsule-filling machine. The dosing unit was modified to allow the bonding of strain gauges to the compression piston. The guages formed the arms of a Wheatstone bridge circuit.
L E, Small, L L, Augsburger
openaire   +2 more sources

Inductive machine learning for instrument development

Information & Management, 1996
Abstract An inductive machine learning (ML) algorithm is used to discriminate between respondents and examine the dimensionality of an end-user computing satisfaction instrument. In all 616 responses were partitioned for training and testing purposes.
Gholamreza Torkzadeh, Krzysztof J. Cios, Kurt A. Pflughoeft   +2 more
openaire   +1 more source

Real and Virtual Instruments in Machine Learning –Training and Comparison of Classification Results

2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2019
The continuous growth of the computing power of processors, as well as the fact that computational clusters can be created from combined machines, allows for increasing the complexity of algorithms that can be trained.
M. Blaszke, Damian Koszewski, Szymon Zaporowski   +2 more
semanticscholar   +1 more source

Instruments for machines with numerical programmed control

Measurement Techniques, 1980
V. Pilipchuk, M. Smirnov
exaly   +2 more sources

Robotic Machine and Instruments

2017
The da Vinci Robotic System, manufactured by Intuitive Surgical, USA, was approved by the Food and Drug Administration (FDA) in 2000. It gained popularity worldwide as it facilitates the minimal access completion of complex surgical procedures. There are five known models of the da Vinci system (Standard, S, Si, X and Xi).
Alaa El-Ghobashy, Damian Murphy
openaire   +1 more source

Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques

Applied Soft Computing, 2019
Bitcoin is the most accepted cryptocurrency in the world, which makes it attractive for investors and traders. However, the challenge in predicting the Bitcoin exchange rate is its high volatility.
Dennys C. A. Mallqui, R. Fernandes
semanticscholar   +1 more source

Instrumentation of Horizontal Exercise Machine

Advances in Bioengineering, 1998
Abstract Bed rest studies provide an opportunity to conduct ground-based studies of the physiological changes which occur on orbit. Astronauts are known to lose muscle and bone mass during space flights, and effective countermeasures are being sought. The muscle loss is extensive, even for short duration missions, but it is fairly easily
Tanya G. Cole, Linda Shackelford, Chris A. Miller, J. Fernando Figueroa   +3 more
openaire   +1 more source