This article presents a versatile model of failure prediction in control systems of objects with large time constants. The basic model of a control unit consists of deterministic finite automaton (DFA) which states co...
This article presents a versatile model of failure prediction in control systems of objects with large time constants. The basic model of a control unit consists of deterministic finite automaton (DFA) which states correspond to states of the system where system variables satisfy a given set of constraints. System failures can be predicted on the basis of time series of the selected signals. Further diagnosis is performed on the basis of rough set theory and original algorithms for attributes’ reduction and decision rule generation. A versatile failure prediction algorithm is constructed that integrates all involved techniques. Cooling systems are application examples of the proposed methodology.
Unmanned aerial vehicles (UAVs) are being used extensively these days, for various applications such as package delivery, surveillance systems, shooting purposes, and whatnot. Artificial Intelligence in theory talks a...
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PROTON 2.1 presents (1) a new termination checking technique that uses a fine-tuned local LLM to synthesize ranking functions, and (2) support for multiple SAT solvers for non-termination checking. © The Author(s...
The ethical and philosophical problems concerning the cooperation of AI systems and human artists are also examined in this study. In addressing authorship, agency, and the very essence of creation, the changing posit...
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Emotion identification by audio signal is a contemporary study area in Human computer Interaction domain. The desire for improving the communication interface between people and digital media has increased. The emotio...
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In the current digital era, Artificial Intelligence is a technology that is accessible and used in many fields. In order to take advantage of the benefits of AI, different techniques can be used. Among them, supervise...
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Due to powerful and sudden release of magnetic energy, solar flares pose a great threat to technological systems in space as well as on ground. This study explores the potential of machine learning in predicting the c...
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In recent years, many scholars and experts have discovered that mobile communication systems and techniques are susceptible to a wide range of cyberattacks. These assaults not only inflict pain and damage to private f...
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ISBN:
(数字)9798350356816
ISBN:
(纸本)9798350356823
In recent years, many scholars and experts have discovered that mobile communication systems and techniques are susceptible to a wide range of cyberattacks. These assaults not only inflict pain and damage to private firms and also pose a threat to government institutions. The attackers employ innovative methods to undermine the security systems, utilizing sophisticated tools and strategies to bypass encryption algorithms of any magnitude. Consequently, the protection of private and sensitive data is compromised. Several innovations are now being developed to mitigate these threats. This article provides a comprehensive overview and evaluation of many advanced cyber security standards, as well as the obstacles encountered in the field of cyber security. The latest generation of cyber-attacks are thoroughly researched and documented, particularly focusing on complex key management techniques. The main objective of this article is to comprehensively analyze multiple categories of cyber security, its importance, applications, and the challenges faced in the field of cybersecurity. Cybersecurity is the practice of protecting the data and ensuring the reliability of computer assets that are either part of or associated to an enterprise’s network. The objective is to defend these assets from any individuals or groups that pose a threat, at any stage of a cyber-attack.
The proceedings contain 48 papers. The special focus in this conference is on Intelligent Computing and Big Data Analytics. The topics include: Road Mishap Prevention Using Driver state Detection;optic Disc Segmentati...
ISBN:
(纸本)9783031746819
The proceedings contain 48 papers. The special focus in this conference is on Intelligent Computing and Big Data Analytics. The topics include: Road Mishap Prevention Using Driver state Detection;optic Disc Segmentation Using Disc-Centered Patch Augmentation;Neural stress Mapping with Machine Learning from EEG Data;early Detection and Diagnosis of Brain Related Diseases;quantum Machine Learning: Bridging the Gap Between theory and practice;quantum-Inspired Machine Learning Models for Cyber Threat Intelligence;quantum-Enhanced Secure Multi-party Computation for Cyber Security Applications;quantum Machine Learning algorithms for Big Data Analytics in Cyber Security;advancements in Machine Learning for Anomaly Detection in Cyber Security;Phishing URL Detection: Leveraging Machine Learning for Improved Security Measures;web Of Synonyms: An Enhanced Keyword Extraction Model For Recommendation systems;Enhancing Road Safety: Reckless Driver Detection via OpenCV in Simulated Environments;Comparative Analysis of CNN Models For Insect Detection System;Deep Learning for ECG-Based Arrhythmia Classification: A 1D-CNN with Optimization Techniques;Hybrid Feature Coupled BiLstM to Predict the Trajectories and Motion of the Autonomous Vehicles;intelligent Medical Assistance: Generic Medications Recommender System;osteoarthritis Classification Using Knee X-Ray Images Based on Hybrid Feature Fusion Framework;ARMA-Welch HRV Features: Predicting Ventricular Tachycardia with ML;cross-Language Question-Answering System Using Hugging-Face Transformers;smileScan - Predictive Dental Detection;optimizing Flood Preparedness: A Comprehensive to Refine Rainfall Predict with Ensemble Machine Learning Models;veriFace: Deepfake Detector Using Deep Learning.
Reactive synthesis is an automated process for deriving correct-by-construction reactive systems from temporal specifications. GR(1), in particular, is a popular LTL fragment that balances efficient synthesis complexi...
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