Sökning: "CNN"

Visar resultat 26 - 30 av 43 avhandlingar innehållade ordet CNN.

1. 26. On Hardware Implementation of Discrete-Time Cellular Neural Networks

   Författare :Suleyman Malki; Institutionen för elektro- och informationsteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Circuit switching; Network on Chip; Vein feature extraction; Velocity measurement; Discrete-Time Cellular Neural Network; Switched broadcast; Serialized broadcast; Cellular Neural Network; Field- Programmable Gate-Array; Image processing.;

   Sammanfattning : Cellular Neural Networks are characterized by simplicity of operation. The network consists of a large number of nonlinear processing units; called cells; that are equally spread in the space. LÄS MER

3. 27. Development of Methods to Investigate Pulmonary Arterial Smooth Muscle Cells under Hypoxia

   Författare :Joel Wahl; Kerstin Ramser; Mikael Sjödahl; Fredrik Nikolajeff; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Experimental Mechanics; Experimentell mekanik;

   Sammanfattning : Hypoxic pulmonary vasoconstriction (HPV) is a physiological response to localized alveolarhypoxia that is intrinsic to the pulmonary circulation. By hypoxia-induced contractionof pulmonary arterial smooth muscle cells (PASMCs), the pulmonary capillary bloodflow is redirected to alveolar areas of high oxygen partial pressure, thus maintaining theventilation-perfusion ratio. LÄS MER

4. 28. Artificial Intelligence for Non-Contact-Based Driver Health Monitoring

   Författare :Hamidur Rahman; Mobyen Uddin Ahmed; Shahina Begum; Peter Funk; Hasan Fleyeh; Mälardalens högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Driver Monitoring; Artificial Intelligence; Machine Learning; Deep Learning; Computer Science; datavetenskap;

   Sammanfattning : In clinical situations, a patient’s physical state is often monitored by sensors attached to the patient, and medical staff are alerted if the patient’s status changes in an undesirable or life-threatening direction. However, in unsupervised situations, such as when driving a vehicle, connecting sensors to the driver is often troublesome and wired sensors may not produce sufficient quality due to factors such as movement and electrical disturbance. LÄS MER

5. 29. Deep Learning on the Edge : A Flexible Multi-level Optimization Approach

   Författare :Nesma Rezk; Magnus Jonsson; Mahdi Fazeli; Antonio Carlos Schneider Beck; Högskolan i Halmstad; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Recent advances in Deep Learning (DL) research have been adopted in a wide variety of applications, including autonomous driving, AI in health care, and smart homes. In parallel, research in high-performance embedded computing has resulted in advanced hardware platforms that offer enhanced performance and energy efficiency for demanding computations. LÄS MER

7. 30. Studies in Semantic Modeling of Real-World Objects using Perceptual Anchoring

   Författare :Andreas Persson; Amy Loutfi; Alessandro Saffiotti; Severin Lemaignan; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Perceptual Anchoring; Semantic World Modeling; Sensor-Driven Acquisition of Data; Object Recognition; Object Classification; Symbol Grounding; Probabilistic Object Tracking;

   Sammanfattning : Autonomous agents, situated in real-world scenarios, need to maintain consonance between the perceived world (through sensory capabilities) and their internal representation of the world in the form of symbolic knowledge. An approach for modeling such representations of objects is through the concept of perceptual anchoring, which, by definition, handles the problem of creating and maintaining, in time and space, the correspondence between symbols and sensor data that refer to the same physical object in the external world. LÄS MER