Sökning: "new machine"
Visar resultat 1 - 5 av 1987 uppsatser innehållade orden new machine.
1. "The Uphill AI Contract Challenge The Intra-Active Task: Reimagining Contracts"
Magister-uppsats, Göteborgs universitet/Juridiska institutionenSammanfattning : The traditional contract theories are insufficient to handle the challenges Artificial Intelligence (AI) is currently causing and will continue to cause to contract law. These challenges involve problems concerning the subject/object divide, agency, the embedding of legal code into interactive programming code, and ethical aspects concerning the transfer of power away from lawyers. LÄS MER
2. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : 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. LÄS MER
3. Cross project Just-In-Time bug detection
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : 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. LÄS MER
4. Force Type ID, a Two-Factor-Authentication based on force sensitive keys and password
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : 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. LÄS MER
5. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER