Automated agriculture processing system are the need of today as food manufacturing industries are suffering great loss on part of defective vegetables and fruits. Many researches are working to develop an automated s...
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Quantum computing and secure communication have gained considerable interest in recent years, as quantum computing has a potent ability to accelerate certain complex problems, such as factoring problems and discrete l...
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Machine learning is a technique that is widely employed in both the academic and industrial sectors all over the *** learning algorithms that are intuitive can analyse risks and respond swiftly to breaches and securit...
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Machine learning is a technique that is widely employed in both the academic and industrial sectors all over the *** learning algorithms that are intuitive can analyse risks and respond swiftly to breaches and security *** is crucial in offering a proactive security system in the field of *** real time,cybersecurity protects information,information systems,and networks from *** the recent decade,several assessments on security and privacy estimates have noted a rapid growth in both the incidence and quantity of cybersecurity *** an increasing rate,intruders are breaching information *** detection,software vulnerability diagnosis,phishing page identification,denial of service assaults,and malware identification are the foremost cyber-security concerns that require efficient *** have tried a variety of approaches to address the present cybersecurity obstacles and *** a similar vein,the goal of this research is to assess the idealness of machine learning-based intrusion detection systems under fuzzy conditions using a Multi-Criteria Decision Making(MCDM)-based Analytical Hierarchy Process(AHP)and a Technique for Order of Preference by Similarity to Ideal-Solutions(TOPSIS).Fuzzy sets are ideal for dealing with decision-making scenarios in which experts are unsure of the best course of *** projected work would support practitioners in identifying,prioritising,and selecting cybersecurityrelated attributes for intrusion detection systems,allowing them to design more optimal and effective intrusion detection systems.
Nowadays, energy efficiency for buildings is considered one of the most valuable solutions to provide services sustainably. Many buildings are designed aiming to consume less energy while performing the required tasks...
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Millions of cases of tuberculosis (TB) are recorded each year, making it a significant worldwide health concern. Early and accurate TB detection is essential for the disease to be effectively treated and controlled. D...
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In this article,the problem of state estimation is addressed for discrete-time nonlinear systems subject to additive unknown-but-bounded noises by using fuzzy set-membership ***,an improved T-S fuzzy model is introduc...
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In this article,the problem of state estimation is addressed for discrete-time nonlinear systems subject to additive unknown-but-bounded noises by using fuzzy set-membership ***,an improved T-S fuzzy model is introduced to achieve highly accurate approximation via an affine model under each fuzzy ***,compared to traditional prediction-based ones,two types of fuzzy set-membership filters are proposed to effectively improve filtering performance,where the structure of both filters consists of two parts:prediction and *** the locally Lipschitz continuous condition of membership functions,unknown membership values in the estimation error system can be treated as multiplicative noises with respect to the estimation ***-time recursive algorithms are given to find the minimal ellipsoid containing the true ***,the proposed optimization approaches are validated via numerical simulations of a one-dimensional and a three-dimensional discrete-time nonlinear systems.
This research work presents a home automation system based on Li-Fi (Light Fidelity) technology as an alternative to the RF communication systems such as Wi-Fi or Bluetooth. Li-Fi uses visible light for transmitting s...
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Photoplethysmography (PPG) signals are vital for monitoring pulse rate, blood pressure, and more, but they are prone to motion artefacts and noise, leading to unreliable data. Assessing PPG signal quality is crucial f...
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The performance of central processing units(CPUs)can be enhanced by integrating multiple cores into a single *** performance can be improved by allocating the tasks using intelligent *** Small tasks wait for long time...
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The performance of central processing units(CPUs)can be enhanced by integrating multiple cores into a single *** performance can be improved by allocating the tasks using intelligent *** Small tasks wait for long time or executes for long time,then CPU consumes more ***,the amount of power consumed by CPUs can be reduced without increasing the *** are used to connect cores,which are organized together to form a network called network on chips(NOCs).NOCs are mainly used in the design of ***,its performance can still be enhanced by reducing power *** main problem lies with task scheduling,which fully utilizes the ***,we propose a novel randomfit algorithm for NOCs based on power-aware *** this algorithm,tasks that are under the same application are mapped to the neighborhoods of the same application,whereas tasks belonging to different applications are mapped to the processor cores on the basis of a series of *** scheduling process is performed during the run *** results show that the proposed randomfit algorithm reduces the amount of power consumed and increases system performance based on effective scheduling.
Harmful Algal Blooms (HABs) are becoming a serious concern in many water bodies. Predicting the formation of these blooms help waterbody stakeholders take appropriate actions and treatment plans for algae management. ...
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