Sökning: "att jämföra två novel"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden att jämföra två novel.

1. 1. Adversarial robustness of STDP-trained spiking neural networks

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Karl Lindblad; Axel Nilsson; [2023]
   Nyckelord :;

   Sammanfattning : Adversarial attacks on machine learning models are designed to elicit the wrong behavior from the model. One such attack on image classifiers are maliciously crafted inputs that, to the human eye, look untampered with but have been carefully altered to cause misclassification. LÄS MER

3. 2. Modeling and Simulation of a Planar Unmanned Aerial Manipulator

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Brynja Þorsteinsdóttir; [2023]
   Nyckelord :Unmanned Aerial Manipulator; Cable Driven Parallel Manipulator; Unmanned Aerial Vehicle; Dynamics; Simulation; Obemannad Flygande Manipulator; Kabeldriven Parallellmanipulator; Obemannad Flygande Farkost; Dynamik; Simulering.;

   Sammanfattning : A unique Unmanned Aerial Manipulator (UAM), also termed an aerial robot, is the subject of this thesis. A UAM is composed of a floating base attached to a manipulator that enables it to interact physically with the environment. LÄS MER

4. 3. Comparison of Operator and Nonoperator Managed 5G Non-Public Networks (NPNs): Implications for Network Architectures and Cost Structures

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Amina Ahmed; [2023]
   Nyckelord :;

   Sammanfattning : In the evolving landscape of communication technologies, 5G Non-Public Network (NPN) enables organizations, enterprises, and industries to have specialized, highperformance connectivity tailored to their needs. It operates independently of Mobile Public Networks (MNOs) and is designed to provide secure, low-latency, and reliable communication in two broad types: standalone or public-integrated. LÄS MER

5. 4. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jin Wanqi; [2023]
   Nyckelord :Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

   Sammanfattning : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. LÄS MER

7. 5. Dynamic Modelling of a Fluidic Muscle with a Comparison of Hysteresis Approaches

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Tess Antonsson; [2023]
   Nyckelord :Mechatronics; Soft Actuators; Pneumatic Artificial Muscles; Dynamic Modelling; Hysteresis; Maxwell-Slip Model; Generalised Bouc-Wen Model; Mekatronik; Mjuka Ställdon; Pneumatiska Artificiella Muskler; Dynamisk Modellering; Hysteres; Maxwell-Slip Modell; Generaliserad Bouc-Wen Modell;

   Sammanfattning : n recent years, there has been a surge in interest and research into the utilisation of soft actuators within the field of robotics, driven by the novel capabilities of their inherently compliant material. One such actuator is the Pneumatic Artificial Muscle (PAM) which offers a high power-to-mass ratio, compliance, safety, and biological mimicry when compared to their traditional counterparts. LÄS MER