Zobrazeno 1 - 10
of 2 428
pro vyhledávání: '"A. Wachowicz"'
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including In
Externí odkaz:
http://arxiv.org/abs/2409.15243
Autor:
Azghadi, Seyed Alireza Rahimi, Mih, Atah Nuh, Kawnine, Asfia, Wachowicz, Monica, Palma, Francis, Cao, Hung
Indoor localization plays a vital role in the era of the IoT and robotics, with WiFi technology being a prominent choice due to its ubiquity. We present a method for creating WiFi fingerprinting datasets to enhance indoor localization systems and add
Externí odkaz:
http://arxiv.org/abs/2407.09242
Autor:
Mih, Atah Nuh, Rahimi, Alireza, Kawnine, Asfia, Palma, Francis, Wachowicz, Monica, Dubay, Rickey, Cao, Hung
This paper proposes an optimization of an existing Deep Neural Network (DNN) that improves its hardware utilization and facilitates on-device training for resource-constrained edge environments. We implement efficient parameter reduction strategies o
Externí odkaz:
http://arxiv.org/abs/2403.10569
Resource constraints have restricted several EdgeAI applications to machine learning inference approaches, where models are trained on the cloud and deployed to the edge device. This poses challenges such as bandwidth, latency, and privacy associated
Externí odkaz:
http://arxiv.org/abs/2401.05355
The use of edge devices together with cloud provides a collaborative relationship between both classes of devices where one complements the shortcomings of the other. Resource-constraint edge devices can benefit from the abundant computing power prov
Externí odkaz:
http://arxiv.org/abs/2310.03823
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 297-302 (2024)
City-model spatial Digital Twins are a three-dimensional virtual self-updating twin of a city which is updated by real-time data. This paper explores the effectiveness of open-source data and tools that can generate a Digital Twin to be hosted on a d
Externí odkaz:
https://doaj.org/article/7f887e6cddc44b5e9e6a12ea04303973
Intelligence Everywhere is predicated on the seamless integration of IoT networks transporting a vast amount of data streams through many computing resources across an edge-to-cloud continuum, relying on the orchestration of distributed machine learn
Externí odkaz:
http://arxiv.org/abs/2310.00346
Quality assurance is crucial in the smart manufacturing industry as it identifies the presence of defects in finished products before they are shipped out. Modern machine learning techniques can be leveraged to provide rapid and accurate detection of
Externí odkaz:
http://arxiv.org/abs/2302.13317
Autor:
Ochab, Jeremi K., Wątorek, Marcin, Ceglarek, Anna, Fąfrowicz, Magdalena, Lewandowska, Koryna, Marek, Tadeusz, Sikora-Wachowicz, Barbara, Oświęcimka, Paweł
Publikováno v:
Sci Rep 12, 17866 (2022)
We applied detrended fluctuation analysis, power spectral density, and eigenanalysis of detrended cross-correlations to investigate fMRI data representing a diurnal variation of working memory in four visual tasks: two verbal and two nonverbal. We sh
Externí odkaz:
http://arxiv.org/abs/2209.13297
We prove that the lower density operator associated with the Baire category density points in the real line has Borel values of class $\pmb \Pi^0_3$ which is analogous to the measure case. We also introduce the notion of the Baire category density po
Externí odkaz:
http://arxiv.org/abs/2207.06821