Managing physical objects in the network’s periphery is made possible by the Internet of Things(IoT),revolutionizing human *** attacks and unauthorized access are possible with these IoT devices,which exchange data t...
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Managing physical objects in the network’s periphery is made possible by the Internet of Things(IoT),revolutionizing human *** attacks and unauthorized access are possible with these IoT devices,which exchange data to enable remote *** attacks are often detected using intrusion detection methodologies,although these systems’effectiveness and accuracy are *** paper proposes a new voting classifier composed of an ensemble of machine learning models trained and optimized using metaheuristic *** employed metaheuristic optimizer is a new version of the whale optimization algorithm(WOA),which is guided by the dipper throated optimizer(DTO)to improve the exploration process of the traditionalWOA *** proposed voting classifier categorizes the network intrusions robustly and *** assess the proposed approach,a dataset created from IoT devices is employed to record the efficiency of the proposed algorithm for binary attack *** dataset records are balanced using the locality-sensitive hashing(LSH)and Synthetic Minority Oversampling Technique(SMOTE).The evaluation of the achieved results is performed in terms of statistical analysis and visual plots to prove the proposed approach’s effectiveness,stability,and *** achieved results confirmed the superiority of the proposed algorithm for the task of network intrusion detection.
The new technology, with the aid of newly emerging knowledge known as cloud computing, can provide resources remotely and on demand. With the use of cloud computing, users can operate in settings where they are not de...
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Research on real-time data visualization methods is necessary to achieve the most accurate and clear representation of information. Creating specific boards and modifying current platforms are two key tasks in perform...
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The project develops an OCR system that converts webcam-captured text to speech, featuring user registration for personalized experiences. Key components include image capture via webcam, text extraction using OCR, da...
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The novel coronavirus disease,or COVID-19,is a hazardous *** is endangering the lives of many people living in more than two hundred *** directly affects the *** general,two main imaging modalities,i.e.,computed tomog...
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The novel coronavirus disease,or COVID-19,is a hazardous *** is endangering the lives of many people living in more than two hundred *** directly affects the *** general,two main imaging modalities,i.e.,computed tomography(CT)and chest x-ray(CXR)are used to achieve a speedy and reliable medical *** the coronavirus in medical images is exceedingly difficult for diagnosis,assessment,and *** is demanding,time-consuming,and subject to human *** biological disciplines,excellent performance can be achieved by employing artificial intelligence(AI)*** a subfield of AI,deep learning(DL)networks have drawn considerable attention than standard machine learning(ML)*** models automatically carry out all the steps of feature extraction,feature selection,and *** study has performed comprehensive analysis of coronavirus classification using CXR and CT imaging modalities using DL ***,we have discussed how transfer learning is helpful in this ***,the problem of designing and implementing a system using computer-aided diagnostic(CAD)to find COVID-19 using DL approaches highlighted a future research possibility.
Organic photovoltaics (OPVs) show promise as a sustainable energy solution but lack long-term stability under real-world operating conditions. Exposure to UV light and moisture can cause performance degradation over t...
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The alarming rise of fake news on social media poses a significant threat to public discourse and decision-making. While automatic detection of fake news offers a promising solution, research in low-resource languages...
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The banking sector is widely acknowledged for its intrinsic unpredictability and susceptibility to risk. Bank loans have emerged as one of the most recent services offered over the past several decades. Banks typicall...
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Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the predict...
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Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the prediction errors,referred to as credit assignment(Lillicrap et al.,2020).It is critical to develop artificial intelligence by understanding how the brain deals with credit assignment in neuroscience.
Early surgical treatment of brain tumors is crucial in reducing patient mortality rates. However, brain tissue deformation (called brain shift) occurs during the surgery, rendering pre-operative images invalid. As a c...
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