The proceedings contain 115 papers. The topics discussed include: receding horizon and optimization-based control for UAV path planning with collision avoidance;application of machine learning in technological forecas...
The proceedings contain 115 papers. The topics discussed include: receding horizon and optimization-based control for UAV path planning with collision avoidance;application of machine learning in technological forecasting;unbiased text categorization in IoT-based digital content using a word-to-graph model;multimodal sentiment analysis based on video and audio inputs;asynchronous inter-class project collaboration adaptation method to agile practices in university context;resource consumption analysis of distributed machine learning for the security of future networks;modeling Wazuh rules with weighted timed automata;evaluating safe region sizes for accuracy in approximate continuous nearest neighbor queries;and intrusion detection systems in IoT based on machine learning: a state of the art.
Due to the extreme growth in digital information and data, cybersecurity has become one of the major concerns addressed by recent research, organizations, and governments. However, Traditional security methods are fin...
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作者：
PrathyakshiniPrathwiniKeerthana
Department of Information Science and Engineering Nitte Karkala India
Department of Master of Computer Applications Nitte Karkala India
Nitte Karkala India
Recognition of emotion in speech (RES) is generating significant interest due to its promise to improve human-computer interaction through precise identification of emotions from speech signals. This work investigates...
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The proceedings contain 110 papers. The topics discussed include: integrating speech input in educational immersive virtual reality applications: a systematic review;discrete-event co-simulation interface for time-tri...
ISBN:
(纸本)9798350350982
The proceedings contain 110 papers. The topics discussed include: integrating speech input in educational immersive virtual reality applications: a systematic review;discrete-event co-simulation interface for time-triggered organic computing;imaging in a smart agriculture platform;comparative analysis of machine learning techniques for enhanced predictive modeling in healthcare;exploring graph-based techniques in job recommendation systems;multiple inputs and hybrid deep learning model to identify suspicious posts on social media;analysis and prediction of computer science students’ performance based on core foundational courses using ensemble machine learning methods;efficient news synopsis generation with T5 transformers;and a flexible multi-agent systems task environment for simulating hybrid intelligence.
The paper discusses the notions of explainability and interpretability when using decision tree learning and agent based modeling to approximate financial time series. And how they related to the selected learning alg...
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With the advent of Industry 4.0, Ambient Intelligence, and other related technologies, self-Adaptation has been seen in modern systems. In this sense, Human-computer Interaction (HCI) requires an approach focused on t...
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As systems grow in size and complexity, the challenge of comprehensively maintaining and understanding their structure also increases. Utilizing a Model-Based systems Engineering (MBSE) approach can be beneficial in a...
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The proceedings contain 12 papers. The topics discussed include: neuro-symbolic architecture meets large language models: a memory-centric perspective;work-in-progress: context and noise aware resilience for autonomou...
ISBN:
(纸本)9798350356397
The proceedings contain 12 papers. The topics discussed include: neuro-symbolic architecture meets large language models: a memory-centric perspective;work-in-progress: context and noise aware resilience for autonomous driving applications;tutorial on novel toolkits toward AI for science on resource-constrained computing systems;work-in-progress: worst-case execution-time measurement techniques for nonlinear model predictive controllers;end-to-end carbon footprint assessment and modeling of deep learning;estimation and optimization of DNNs for embedded platforms;emerging architecture design, control, and security challenges in software defined vehicles;***: principles and practices of machine learning systems engineering;AI-driven indoor navigation with mobile embedded systems;sustainable deployment of deep neural networks on non-volatile compute-in-memory accelerators;and reducing smart phone environmental footprints with in-memory processing.
In order to meet the standardized design requirements of lenses, a lens aided design system based on parametric modeling is designed. The development of this system makes full use of computer-aided design technology t...
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This research introduces the application of an innovative bio-inspired metaheuristic technique, termed the Crow Search Algorithm (CSA), to model a crucial industrial process - hot rolling manufacturing. Inspired by th...
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