A complicated neurological illness, autism spectrum disorder (ASD) impacts social skills, communication, and other behavioral elements. Because the symptoms of ASD might be confused with those of other mental health c...
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The Windows Operating System is known for its convenience which tends to breed more and more user information in form of Artifacts. Artifacts are important repository of potential evidence while conducting any compute...
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Mobile Edge Computing(MEC)is a technology for the fifth-generation(5G)wireless communications to enable User Equipment(UE)to offload tasks to servers deployed at the edge of ***,taking both delay and energy consumptio...
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Mobile Edge Computing(MEC)is a technology for the fifth-generation(5G)wireless communications to enable User Equipment(UE)to offload tasks to servers deployed at the edge of ***,taking both delay and energy consumption into consideration in the 5G MEC system is usually complex and ***-orthogonal multiple access(NOMA)enable more UEs to offload their computing tasks to MEC servers using the same spectrum resources to enhance the spectrum efficiency for 5G,which makes the problem even more complex in the NOMA-MEC *** this work,a system utility maximization model is present to NOMA-MEC system,and two optimization algorithms based on Newton method and greedy algorithm respectively are proposed to jointly optimize the computing resource allocation,SIC order,transmission time slot allocation,which can easily achieve a better trade-off between the delay and energy *** simulation results prove that the proposed method is effective for NOMA-MEC systems.
IoT has paved the way for enhancing and transforming the quality of life through remote automation and monitoring via various short-range, long-range, and cellular network connectivity technologies. These technologies...
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In today's world, independent living becomes increasingly crucial for those who are visually impaired, as they encounter numerous challenges. Visually impaired people are at a disadvantage since they need manual h...
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In this study, a convolutional neural network (CNN) model was put out for the prediction of customer turnover in the telecom sector. In earlier studies, numerous supervised machine learning models were developed and a...
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ISBN:
(纸本)9789819717231
In this study, a convolutional neural network (CNN) model was put out for the prediction of customer turnover in the telecom sector. In earlier studies, numerous supervised machine learning models were developed and applied to forecast client attrition. However, in order to create these models, attribute selection must be done by humans, which is tedious, time-consuming, tailored to specific datasets, and usually results in attribute selection problems. In order to eliminate human attribute selection and accompanying issues, this study suggested a convolutional neural network model for forecasting consumer churning behaviour. The fourteen thousand data examples obtained from one of the major cellular operators operating in Nigeria were divided into two datasets. Our model was created and put into use using the Python programming language and the Anaconda distribution. Our first preference was Jupyter notebook. A second CNN model, two multi-layer perceptron (MLP) models, and three additional models were created in order to conduct a comparable comparison. The accuracy rates for the MLP models are 81% and 89% for convolution neural network 1 and convolution neural network 2, and 80% and 81% for MLP 1 and MLP 2, respectively. When a company tries to bring in new clients, the costs are far higher than when it tries to lose old ones. All of their plans and strategies are structured to win over existing customers, lose new ones, and ultimately increase customer satisfaction. One of the biggest issues for this company, though, is user churn. It deprives a bank of a variety of income sources, including fees. Furthermore, in the Islamic banking system, the primary source of a bank’s income comes from consumer deposits. It might result in a bank withdrawing some of its deposits. If a bank ignores the loss of these two sources of income and the potential rise in reputational damage, it may be on the verge of failure. The current study offers a preliminary forecast of customer
Regularized system identification has become the research frontier of system identification in the past *** related core subject is to study the convergence properties of various hyper-parameter estimators as the samp...
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Regularized system identification has become the research frontier of system identification in the past *** related core subject is to study the convergence properties of various hyper-parameter estimators as the sample size goes to *** this paper,we consider one commonly used hyper-parameter estimator,the empirical Bayes(EB).Its convergence in distribution has been studied,and the explicit expression of the covariance matrix of its limiting distribution has been ***,what we are truly interested in are factors contained in the covariance matrix of the EB hyper-parameter estimator,and then,the convergence of its covariance matrix to that of its limiting distribution is *** general,the convergence in distribution of a sequence of random variables does not necessarily guarantee the convergence of its covariance ***,the derivation of such convergence is a necessary complement to our theoretical analysis about factors that influence the convergence properties of the EB hyper-parameter *** this paper,we consider the regularized finite impulse response(FIR)model estimation with deterministic inputs,and show that the covariance matrix of the EB hyper-parameter estimator converges to that of its limiting ***,we run numerical simulations to demonstrate the efficacy of ourtheoretical results.
Erectile dysfunction(ED)is a prevalent type of sexual dysfunction,and continuous monitoring of penile tumescence and rigidity during spontaneous nocturnal erections is crucial for its diagnosis and ***,the current cli...
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Erectile dysfunction(ED)is a prevalent type of sexual dysfunction,and continuous monitoring of penile tumescence and rigidity during spontaneous nocturnal erections is crucial for its diagnosis and ***,the current clinical standard device,limited by its active mechanical load,is bulky and nonwearable and strongly interferes with erections,which compromises both monitoring reliability and patient ***,we report a wearable adaptive rigidity monitoring(WARM)system that employs a measurement principle without active loads,allowing for the assessment of penile tumescence and rigidity through a specifically designed elastic dual-ring *** dual-ring sensor,comprising two strain-sensing rings with distinct elastic moduli,provides high resolution(0.1%),robust mechanical and electrical stability(sustaining over 1000 cycles),and strong interference *** integrated flexible printed circuit(FPC)collects and processes sensing signals,which are then transmitted to the host computer via Bluetooth for ED ***,we validated the WARM system against the clinical standard device using both a penile model and healthy volunteers,achieving high ***,the system facilitates the continuous evaluation of penile erections during nocturnal tumescence tests with concurrent sleep monitoring,demonstrating its ability to minimize interference with nocturnal *** conclusion,the WARM system offers a fully integrated,wearable solution for continuous,precise,and patient-friendly measurement of penile tumescence and rigidity,potentially providing more reliable and accessible outcomes than existing technologies.
The internet along with its global uses has also evolved as a platform where various people can pose their questions on certain sites and get them answered by others from the same domain. Certain sites like Quora, Red...
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Star-shaped lattice structures with a negative Poisson’s ratio(NPR)effect exhibit excellent energy absorption capacity,making them highly promising for applications in aerospace,vehicles,and civil *** previous resear...
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Star-shaped lattice structures with a negative Poisson’s ratio(NPR)effect exhibit excellent energy absorption capacity,making them highly promising for applications in aerospace,vehicles,and civil *** previous research has primarily focused on single-walled cells,there is limited investigation into negative Poisson’s ratio structures with nested multi-walled *** study designed three star-shaped cell structures and three lattice configurations,analyzing the Poisson’s ratio,stress–strain relationship,and energy absorption capacity through tensile experiments and finite element *** the single structures,the star-shaped configuration r3 demonstrated the best elastic modulus,NPR effect,and energy absorption *** contrast,the uniform lattice structure R3 exhibited the highest tensile strength and energy absorption ***,the stress intensity and energy absorption of gradient structures increased with the number of *** study aims to provide a theoretical reference for the application of NPR materials in safety protection across civil and vehicle engineering,as well as other fields.
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