The proceedings contain 55 papers. The topics discussed include: dynamic obfuscation for secure and efficient multi-cloud business processes;bridging the cost gap: a comprehensive analysis of CAPEX and OPEX for smart ...
ISBN:
(纸本)9789897587504
The proceedings contain 55 papers. The topics discussed include: dynamic obfuscation for secure and efficient multi-cloud business processes;bridging the cost gap: a comprehensive analysis of CAPEX and OPEX for smart home transition from a provider's perspective;Sockpuppet detection in Wikipedia using machine learning and voting classifiers;PatSimBoosting: enhancing patient representations for disease prediction through similarity analysis;real-time manufacturing data quality: leveraging data profiling and quality metrics;toward a more realistic energy consumption model for IoT nodes in extreme-edge computing environments;data network game: enabling collaboration via data mesh;and approach to deploying batch file data products in a big data environment.
Underwater pollution, primarily caused by plastics and other waste materials, poses significant threats to marine ecosystems and human health. To address this issue, 'CRABBER' is an innovative waste-gathering ...
详细信息
This paper presents an effective single-mode model of laser cavity dynamics, focusing on pulsed lasers, which significantly improves the computational efficiency of state-of-The-Art models while exhibiting a comparabl...
详细信息
In this paper, we tackle the financial accountability characteristic of vehicle security in relation to other embedded technologies going. We also touch on some of the concerns that lending institutions face owing to ...
详细信息
ISBN:
(数字)9798331525439
ISBN:
(纸本)9798331525446
In this paper, we tackle the financial accountability characteristic of vehicle security in relation to other embedded technologies going. We also touch on some of the concerns that lending institutions face owing to loan defaults. It provides automation help for organizations in the monitoring of the loan status and dynamically regulates the speed of electric vehicles in real-time based on delays in repayment, which are usually calibrated against limits hit to set by the bank. A control to keep motor temperatures from reaching dangerous levels and an emergency override option for authorized people are among the system's other features. Without the user's involvement, automated control can change the vehicle's speed; in an emergency, the override capability permits a restricted speed adjustment while providing the bank with sufficient security. This feature of motor temperature monitoring increases safety and includes some aspects of vehicle operation in it as it sends updates about danger avoidance while the vehicle runs under restricted use or for extended periods. This system is aimed to be integrated in EV two wheelers with wheel diameter of 130 mm. The study examines how this system enhances the loan recovery process by mitigating operational risks revolutionizing financial enforcement in the automotive industry by integrating contemporary financial management with advanced embedded technology.
The professional nature and confidentiality of the power domain hinder the public to accurately assess the authenticity of online electricity-related statements, fostering an environment conducive to the spread of ele...
详细信息
ISBN:
(纸本)9789819794393;9789819794409
The professional nature and confidentiality of the power domain hinder the public to accurately assess the authenticity of online electricity-related statements, fostering an environment conducive to the spread of electricity-related hate speech on social media. To address this challenge, we introduce a new hate speech detection task for the electric power domain. A dataset for electric power domain hate speech detection is constructed, consisting of 6000 electricity-related Weibo posts. We propose a prompt learning approach for hate speech detection in the electric power domain, which integrates power domain knowledge, such as work scenarios and terms. Subsequently, a prompt template is formulated to facilitate hate speech detection. Experimental results on the dataset indicate that the proposed prompt learning method surpasses the baseline model.
We introduce a strategy that generates an adaptive surrogate of the value function of high-dimensional nonlinear optimal control problems. It exploits the relevant operating domain online on which the resulting surrog...
详细信息
Efficient energy management in building energy systems (BES) is essential for reducing energy consumption while maintaining thermal comfort. One effective approach is Model Predictive control (MPC), which optimizes co...
详细信息
In this paper, an integral-double derivative plus filter (IDDF) optimized with the crow search technique (CST) is enforced as a secondary controller for load frequency control (LFC) of two areas of the traditional non...
详细信息
In this paper, we examine implementing distributed home automation platforms, with Home Assistant serving as a case study. Home Assistant is an open-source platform that enables users to control and automate various a...
详细信息
Microservice-based application architecture, despite its many merits - including enhanced flexibility, scalability and robustness-, adds significant complexity to the application’s orchestration process. Complex exec...
详细信息
暂无评论