Essays about: "machine to machine"
Showing result 6 - 10 of 6377 essays containing the words machine to machine.
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6. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE
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7. Var kommer intresset till hyggesfritt skogsbruk ifrån?
University essay from SLU/School for Forest ManagementAbstract : Hyggesfritt skogsbruk är något som mer och mer ses som ett intressant alternativ för skogsägare. Det diskuteras hyggesfritt skogsbruk i olika debattforum, på nyheter och i politiska sammanhang. Även hos de väletablerade skogsföretagen pågår diskussioner om hyggesfritt. READ MORE
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8. Cross project Just-In-Time bug detection
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Software is present in almost all aspects of our lives, and with more parts of life beingdriven by code, the importance of limiting bugs is critical. Studies have shown that thelonger a bug is present in a system increases the complexity of finding and handlingthe bug. READ MORE
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9. Force Type ID, a Two-Factor-Authentication based on force sensitive keys and password
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The conventional computer keyboard keys work as binary switch systems and have stayed the same since the invention of typewriters. With the accelerated progress in forcesensing technology, force-sensitive keyboards have become viable consumer products due to advancements in manufacturing. READ MORE
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10. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
University essay from Lunds universitet/Matematisk statistikAbstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE