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Št. zadetkov: 5
Deep learning for compressive sensing
Alina Luminita Machidon, Veljko Pejović
Pregledni znanstveni članek
Oznake: nevronske mreže;globoko učenje;kompresijsko zaznavanje;vseprisotno računalništvo;neural networks;deep learning;compressive sensing;ubiquitous computing;
Compressive sensing (CS) is a mathematically elegant tool for reducing the sensor sampling rate, potentially bringing context-awareness to a wider range of devices. Nevertheless, practical issues with the sampling and reconstruction algorithms prevent further proliferation of CS in real world domain ...
Leto: 2023 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Adaptive data-driven subsampling for efficient neural network inference
Alina Luminita Machidon, Veljko Pejović
Izvirni znanstveni članek
Oznake: neenakomerno vzorčenje;kompresijsko zaznavanje;globoko učenje;klasifikacija EEG;prepoznavanje govora;klasifikacija slike;nonuniform sampling;compressive sensing;deep learning;EEG classifcation;speech recognition;image classifcation;
In this paper we present a novel data-driven subsampling method that can be seamlessly integrated into any neural network architecture to identify the most informative subset of samples within the original acquisition domain for a variety of tasks that rely on deep learning inference from sampled si ...
Leto: 2024 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Integrating control-theoretic predictive deep learning for resource-efficient computing systems
Alina Luminita Machidon, Veljko Pejović
Izvirni znanstveni članek
Oznake: nadzorni sistemi;napovedni nadzor modela;globoko učenje;učinkovitost virov;prilagodljivost kontekstu;približno računalništvo;control systems;model predictive control;deep learning;resource effciency;context adaptivity;approximate computing;
Deep learning (DL) powers numerous applications on ubiquitous edge devices, but its high resource demands pose a challenge. Approximate computing is often proposed to alleviate this, yet such calculation usually suffers from a fixed level of accuracy loss. We propose a novel control-theoretic approa ...
Leto: 2025 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Reinforcement learning for efficient UAV-based computer vision
Brin Colnar, Veljko Pejović, Alina Luminita Machidon
Magistrsko delo
Oznake: reinforcement learning;unmanned aerial vehicle;precision agriculture;computer vision;computer science;master's thesis;
Weed control in precision agriculture illustrates the broader challenge of optimizing operational efficiency in dynamic environments - a principle relevant to fields as diverse as financial markets and environmental monitoring. To effectively meet these diverse needs, we have developed a suite of ...
Leto: 2024 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
SqueezeSlimU-Net
Alina Luminita Machidon, Andraž Krašovec, Veljko Pejović, Octavian-Mihai Machidon
Izvirni znanstveni članek
Oznake: prilagodljive nevronske mreže;računalniška učinkovitost;segmentacija slike;natančno poljedelstvo;vid brezpilotnega letala v realnem času;odkrivanje plevela;adaptive neural networks;computational effciency;image segmentation;precision agriculture;real-time unmanned aerial vehicle vision;UAV;weed detection;
The limited processing capacity of computing equipment that is usually mounted on unmanned aerial vehicles (UAVs) often prevents real-time execution of computer vision tasks, such as image segmentation. In this article, we introduce SqueezeSlimU-Net (SSU-Net), an adaptive and efficient deep learning ...
Leto: 2025 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 5
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