the increasing demand for efficient energy conversion and management in various applications has spurred significant advancements in power electronics. To address these needs, the proposed system employs the advanced ...
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In different fields such as for environmental, industrial and biomedical applications precise monitoring of volatile species become increasingly important. the development of nanosensors and oxide-based sensors has go...
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ISBN:
(纸本)9798350380132;9798350380125
In different fields such as for environmental, industrial and biomedical applications precise monitoring of volatile species become increasingly important. the development of nanosensors and oxide-based sensors has good potential to meet the current demands of industries, but the sensors need to be tailored to different special characteristics that will give the best results in different environments. In this paper, different hybrid material sensors are proposed to show the potential of using the combination of several materials, such as metal oxides and polymers, to achieve high sensor responses for different gases with values up to 573% for hydrogen and 250% for 2-propanol just by coating metal oxide nanostructures with ultrathin layers of different polymers. this is a short overviews of our current research on such hybrid sensors.
the proceedings contain 9 papers. the topics discussed include: deep blockchain to enable scalable web applications;security issues in robotic platforms, sensor networks and smart cities;cybersecurity issues in roboti...
the proceedings contain 9 papers. the topics discussed include: deep blockchain to enable scalable web applications;security issues in robotic platforms, sensor networks and smart cities;cybersecurity issues in robotic platforms;future of smart cities security challenges – proactive modelling & identification;secure course completion credentialing using Hyperledger fabric;energy-efficient routing in UAVs supported perimeter security networks;energy-efficient routing in UAVs supported perimeter security networks;reducing the WSN’s communication overhead by the SD-SPDZ encryption protocol;the interplay of social and robotics theories in AGI alignment: navigating the digital city through simulation-based multi-agent systems;and advanced security mechanisms in the spring framework: JWT, OAuth, LDAP and Keycloak.
this article presents the Political Deepfakes Incidents database (PDID), a collection of politically-salient deepfakes, encompassing synthetically-created videos, images, and less-sophisticated 'cheapfakes.' T...
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ISBN:
(纸本)1577358872
this article presents the Political Deepfakes Incidents database (PDID), a collection of politically-salient deepfakes, encompassing synthetically-created videos, images, and less-sophisticated 'cheapfakes.' the project is driven by the rise of generative AI in politics, ongoing policy efforts to address harms, and the need to connect AI incidents and political communication research. the database contains political deepfake content, metadata, and researcher-coded descriptors drawn from political science, public policy, communication, and misinformation studies. It aims to help reveal the prevalence, trends, and impact of political deepfakes, such as those featuring major political figures or events. the PDID can benefit policymakers, researchers, journalists, fact-checkers, and the public by providing insights into deepfake usage, aiding in regulation, enabling in-depth analyses, supporting fact-checking and trust-building efforts, and raising awareness of political deepfakes. It is suitable for research and application on media effects, political discourse, AI ethics, technology governance, media literacy, and countermeasures.
the proceedings contain 97 papers. the topics discussed include: a hybrid machine learning approach for sleep and awake states detection using EEG data;experimental analysis of thermoelectric generator and its applica...
ISBN:
(纸本)9798350391329
the proceedings contain 97 papers. the topics discussed include: a hybrid machine learning approach for sleep and awake states detection using EEG data;experimental analysis of thermoelectric generator and its application to hybrid electric vehicle;demystifying market dynamics: utilizing STM and explainable ai for stock analysis;fortified sharing of confidential health records in cloud environment;design and implementation of high performance energy efficient mac unit for emerging applications;automatic detection and filtering of listening conditions in hearing aids using convolutional neural networks;aspect based call analysis of Marathi regional language in India using machine learning approach;and performance assessment of grid-interactive solar power plant.
We present a speech database and a phoneme-level language model of Polish. the database and model are designed for the analysis of prosodic and discourse factors and their impact on acoustic parameters in interaction ...
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this research paper comprehensively explores recommendation systems, elucidating their functionality within real-world contexts. As the volume of data continues to burgeon daily, harnessing its potential has become im...
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Multiply- Accumulate Units (MACs) are basic blocks in accelerators for neural networks, which need both high throughput and low power consumption to optimize matrix and vector computations. the present work proposes a...
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Edge computing has transformed technology by enabling seamless connections between IoT devices, but it also introduces significant security challenges. EC is crucial for providing minimal latency processing and reduci...
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