This study analyzes the technical, economic, and social barriers limiting access to artificial intelligence (AI) in less developed regions. Using a non-experimental, quantitative approach, methods such as interviews a...
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The fourth Industrial Revolution (4th IR) i.e., Industry 4.0 features the deployment of extensive automation in the form of smart factories and smart machines facilitating improved information and data flows across th...
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This study examines the adherence of ChatGPT (GPT-3.S and GPT-4) to fairness principles, specifically proportionality and equality, in negotiation scenarios. Three distinct negotiation contexts were explored: work-stu...
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Surveillance videos play a crucial role in providing evidences. However, the deletion of even a few frames can significantly impact the interpretation of events, while the deletion can be performed easily using video ...
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This research focuses on identifying sarcasm in online comments using a combination of machine learning techniques, including feature extraction, pattern recognition, and analysis of emojis. Various methods were utili...
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There are many factors that would affect the assembly error in aircraft assembly process, and the coupling rules are complex among those factors. The existing numerical methods cannot effectively analyze the assembly ...
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Based on the complementary advantages of data model analysis of Generating Adversarial Network(GAN) algorithm and theoretical model analysis of art cognition, with the possibility of AI imagination as the research pro...
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作者:
Mahesh, T.R.Vivek, V.
Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India
This researcher investigated effective much eye opening and pattern detection algorithms. Finally, this article used two frameworks to argue that geospatial investigation systems for patterns are necessary. One of mos...
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Diabetes patients can experience congestive heart failure due to diastolic dysfunction from its early phases. This study addresses a crucial challenge by proposing a novel methodology for predicting this complication....
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ISBN:
(纸本)9798350371215
Diabetes patients can experience congestive heart failure due to diastolic dysfunction from its early phases. This study addresses a crucial challenge by proposing a novel methodology for predicting this complication. We introduce an innovative approach by examining the Fragmented QRS (fQRS) pattern within the individual leads of the 12-lead Electrocardiogram (ECG) data. Our approach employs a specialized deep learning model, ResNet1D, trained on each lead separately. The outcomes from these leads are then combined using a Random Forest classifier for more accurate predictions. The experiment results show that our proposed model outperforms other models utilizing combined 12-lead ECG signals. Each lead encapsulates specific and pivotal diagnostic insights, enhancing the model's performance in predicting ECG signal anomalies.
Focusing on the privacy concerns and leakage abuse of sensory data collection in mobile crowdsensing (MCS) environment, we propose a crowdsensed data-oriented distributed and secure spatial query scheme while ensuring...
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ISBN:
(纸本)9798350381993;9798350382006
Focusing on the privacy concerns and leakage abuse of sensory data collection in mobile crowdsensing (MCS) environment, we propose a crowdsensed data-oriented distributed and secure spatial query scheme while ensuring data privacy as long as query patterns. To cater to the demands of real-world MCS workloads, we designed a distributed multi-layer architecture and leveraged distributed hash functions(DHT) and broadcast encryption(BE) to achieve load-balancing and enforce access control. Our scheme incorporates a recently developed cryptographic tool-function secret sharing (FSS) to safeguard the query pattern and sensory data from potential compromises at the server layer. The analysis demonstrates that our scheme achieves affordable query complexity while satisfying adaptive L-semantic security. Encouraging experimental results substantiate the efficacy of our scheme, the growth rates of query cost diminishes as the number of records and participants increases. These findings emphasize the suitability of our scheme for crowdsensing applications with fine-grained access control requirements and establish it as an efficient cryptographic tool that holds promise for diverse MCS applications.
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