Essays about: "Quantization"

Showing result 1 - 5 of 134 essays containing the word Quantization.

1. 1. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Khalid El Yaacoub; [2024]
   Keywords : Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Abstract : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. READ MORE

3. 2. Detecting Distracted Drivers using a Federated Computer Vision Model : With the Help of Federated Learning

   University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Author : Joel Viggesjöö; [2023]
   Keywords : Machine Learning; Federated Learning; Computer Vision;

   Abstract : En av de vanligaste distraktionerna under bilkörning är utförandet av aktiviteter som avlägsnar förarens fokus från vägen, exempelvis användandet av en telefon för att skicka meddelanden. Det finns många olika sätt att hantera dessa problem, varav en teknik är att använda maskininlärning för att identifiera och notifiera distraherade bilförare. READ MORE

4. 3. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Egemen Yiğit Kömürcü; [2023]
   Keywords : ;

   Abstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE

5. 4. Design of a grating lobe mitigated antenna array architecture integrated with low loss PCB filtering structures

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Eduardo Salvador Lopez; [2023]
   Keywords : Band-pass filters; Beam forming networks; Irregular subarrays; Particle Swarm Optimization; PCB; Penrose tessellation; Planar phased arrays; Quantization lobes; Scanning; Suspended stripline; Bandpassfilter; lobformning; matningsnätverk; Irreguljära gruppantenner; Particle Swarm Optimization; PCB; Penrose tessellation; Plana fasade gruppantenner; sidlober; Utstyrningsvinkel; Suspended stripline;

   Abstract : Massive multiple input multiple output - MIMO systems are a reality and modern communication systems rely upon this technology to cope with the increasing need for capacity and network usage. Antenna arrays are at the heart of the of the massive-MIMO system and are the enabling technology. READ MORE

6. 5. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Luis González Gudiño; [2023]
   Keywords : Human Motion Forecasting; Long-Term Prediction; VQ-VAE; Quantization; 3D Human Motion; CMU MoCap Dataset; Transformer; Mänsklig Rörelseprognos; Långsiktig Prognos; VQ-VAE; Kvantisering; 3D-mänsklig rörelse; CMU MoCap Dataset; Transformer;

   Abstract : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. READ MORE