This article is devoted to the determination of the fractal size of the damaged part of the human brain on the basis of images obtained from MRI (magnetic resonance imaging). There are various mathematical methods for...
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Millimeter wave (mm-Wave) multiple-input-multiple-output systems have the unique characteristics of high temporal resolution and high directivity, enabling very accurate localization. By utilizing the time delay, angl...
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Glacial Lake Outburst Floods (GLOFs) pose a severe risk to populations in high-altitude areas, particularly in Pakistan's northern regions, where glacier melt has created 3,044 glacial lakes in Gilgit-Baltistan an...
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Detection mechanisms for intrusion play a key role in the identification of vulnerable behaviors that denigrate IoT networks. Mobile Adhoc Networks (MANETs) are wireless networks with the ability to transmit data with...
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The chronic and incurable disease of diabetes that is not only marked with increasing prevalence but is also linked to other life-threatening diseases like cardiovascular diseases, tissue injuries and retinopathy. Wit...
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Prostate cancer(PCa)symptoms are commonly confused with benign prostate hyperplasia(BPH),particularly in the early stages due to similarities between symptoms,and in some instances,*** methods have been utilized to di...
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Prostate cancer(PCa)symptoms are commonly confused with benign prostate hyperplasia(BPH),particularly in the early stages due to similarities between symptoms,and in some instances,*** methods have been utilized to diagnose PCa;however,at the full-blown stage,clinical methods usually present high risks of complicated side ***,we proposed the use of support vector machine for early differential diagnosis of PCa(SVM-PCa-EDD).SVM was used to classify persons with and without *** used the PCa dataset from the Kaggle Healthcare repository to develop and validate SVM model for *** PCa dataset consisted of 250 features and one class of *** considered in this study were age,body mass index(BMI),race,family history,obesity,trouble urinating,urine stream force,blood in semen,bone pain,and erectile *** SVM-PCa-EDD was used for preprocessing the PCa dataset,specifically dealing with class imbalance,and for dimensionality *** eliminating class imbalance,the area under the receiver operating characteristic(ROC)curve(AUC)of the logistic regression(LR)model trained with the downsampled dataset was 58.4%,whereas that of the AUC-ROC of LR trained with the class imbalance dataset was 54.3%.The SVM-PCa-EDD achieved 90%accuracy,80%sensitivity,and 80%*** validation of SVM-PCa-EDD using random forest and LR showed that SVM-PCa-EDD performed better in early differential diagnosis of *** proposed model can assist medical experts in early diagnosis of PCa,particularly in resource-constrained healthcare settings and making further recommendations for PCa testing and treatment.
Due to a tremendous increase in mobile traffic,mobile operators have started to restructure their networks to offload their *** directions will lead to fundamental changes in the design of future Fifthgeneration(5G)ce...
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Due to a tremendous increase in mobile traffic,mobile operators have started to restructure their networks to offload their *** directions will lead to fundamental changes in the design of future Fifthgeneration(5G)cellular *** the formal reason,the study solves the physical network of the mobile base station for the prediction of the best characteristics to develop an enhanced network with the help of graph *** number that can be uniquely calculated by a graph is known as a graph *** the last two decades,innumerable numerical graph invariants have been portrayed and used for correlation *** any case,no efficient assessment has been embraced to choose,how much these invariants are connected with a network *** paper will talk about two unique variations of the hexagonal graph with great capability of forecasting in the field of optimized mobile base station topology in setting with physical *** K-banhatti sombor invariants(KBSO)and Contrharmonic-quadratic invariants(CQIs)are newly introduced and have various expectation characteristics for various variations of hexagonal graphs or *** the hexagonal networks are used in mobile base stations in layered,forms called *** review settled the topology of a hexagon of two distinct sorts with two invariants KBSO and CQIs and their reduced *** deduced outcomes can be utilized for the modeling of mobile cellular networks,multiprocessors interconnections,microchips,chemical compound synthesis and memory interconnection *** results find sharp upper bounds and lower bounds of the honeycomb network to utilize the Mobile base station network(MBSN)for the high load of traffic and minimal traffic also.
In this paper, we present an efficient convolutional neural network (CNN)-based model to estimate both elevation and azimuth arrival angles of multiple sources with high resolution (small source angular separation). T...
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Nowadays, power quality issues are more and more frequent due to disturbances such as harmonics, flicker, swells/sags, interruptions, unbalanced voltage, etc. This paper presents a solution developed by the authors fo...
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However, to be intact is to emerge, and that is what we tried unsuccessfully to achieve here with in out Iot-enabled patient monitoring built on esp32 task. Efforts to oversee health with relevant Features and sensors...
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