Abstract It is crucial, while using healthcare data, to assess the advantages of data privacy against the possible drawbacks. Abstract The current investigations are presented to solve the fractional order HBV differential infection system (FO-HBV-DIS) with the response of antibody immune using the optimization based stochastic schemes of the Levenberg-Marquardt backpropagation (LMB) neural networks (NNs), i.e., LMBNNs. How to plot the antiderivative by Integration coupling, the dest operator, and a logical expression. Author to whom correspondence should be addressed. review of the state-of-the-art methods for data cleaning in WIS. ; Noble, R.L. 4027-4041, 2023, DOI:10.32604/cmc.2023.033039 This paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free image. Abstract The biggest problem facing the world is information security in the digital era. The spherical diffusion that occurs when using ultramicroelectrodes (i.e., electrodes with a characteristic size of 1–10 µm) contributes to a higher mass transfer rate. First off I want to say thank you to those of you who commented on my last post about ordering a 2022 BRZ . However, Artificial Intelligence (AI) can be used for successful classification. Given the environmental degradation caused by hazardous wastes and the scarcity of some resources, recycling used lithium-ion batteries has significant economic and practical importance. Due to the resource constraints and open nature of IoT nodes, the routing protocol for low power and lossy (RPL) networks may be vulnerable to several routing attacks. In recent years, smart materials are widely used in various fields such as micro-electro-mechanical systems (MEMS) and nano-electro-mechanical systems (NEMS)) due to their superior performance over conventional materials , .In this class of materials, the magneto-electro-elastic (MEE) material is one of the most trending multifunctional composite materials The fractional order derivatives have provided authentic and accurate solutions for the NDF-WCM. Cloud computing allows the user to access data directly from any node. Abstract Recently, object detection based on convolutional neural networks (CNNs) has developed rapidly. Hence, a smart criminal detection and identification system that makes use of the OpenCV Deep Neural Network (DNN) model which employs a More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. In terms of data support, we obtain the data of nearly 3500 vehicles in some cities in China from Runwoda Research Institute, focusing on the major pollutant emission data of non-road mobile machinery and high emission vehicles in Beijing and Bozhou, More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. I. Fabrication of glass-insulated ultramicrometer to submicrometer carbon fiber electrodes to support a single nanoparticle and nanoparticle ensembles in electrocatalytic investigations. Task scheduling in cloud poses numerous challenges impacting the cloud performance. those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). Abstract The evolution of Industry 4.0 made it essential to adopt the Internet of Things (IoT) and Cloud Computing (CC) technologies to perform activities in the new age of manufacturing. Each consumer seeks a service provider based on various preferences, such More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. MDPI and/or 2839-2852, 2023, DOI:10.32604/cmc.2023.032760 Stacking utilizes heterogeneous-base learners trained in parallel and combines their predictions using a meta-model to determine the final prediction results. Abstract In this work, we consider the performance analysis of state dependent priority traffic and scheduling in device to device (D2D) heterogeneous networks. Abstract The 3D reconstruction using deep learning-based intelligent systems can provide great help for measuring an individuals height and shape quickly and accurately through 2D motion-blurred images. In general terms, health care images are highly sensitive to alterations due to which any modifications in its content can result in faulty diagnosis. Abstract The Internet of Things (IoT) is a modern approach that enables connection with a wide variety of devices remotely. January 5, 2022.Immigration.If you are getting married to a US citizen or resident, you should know that there are some marriage based Green Card interview questions that you will need to complete succesfully. Therefore, efficient identification and classification of Android malicious More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. Shimada, K.; Kato, H.; Saito, T.; Matsuyama, S.; Kinugasa, S. Precise measurement of the self-diffusion coefficient for poly(ethylene glycol) in aqueous solution using uniform oligomers. Since, for ferrocenemethanol and its derivatives, the interelectrode distance of 20 m proved to be the most advantageous, it was also used in the simulation of the mixture system. By introducing adaptive judgment factor to control the proportion of weighted difference evolution (WDE) algorithm and particle swarm optimization (PSO) algorithm More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. The basic idea of the proposed model is to extract features from both CT and MR images. 2999-3014, 2023, DOI:10.32604/cmc.2023.032326 Therefore, it is necessary to study this topic very carefully and use new technologies such as Vehicle Ad Hoc Networks (VANET), Internet of Things More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. The permutation and combination of these commerce, communities, and edutainment. It is also the first time that the influence of the volumetric concentration of the constituents on the vibration of More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. This research focuses on applying ASR end-to-end transformer-based models for the Arabic language, as the researchers community pays little attention to it. investigation, methodology, E.G.Z. The proposed method is structured to reflect multiple types of knowledge and relations among transactions features that include validation factor degree, slackness More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. In this research, the progress More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. To address the issues, the logical permutation serves as an alternative mechanism that can enhance the More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. Abstract As a result of the increased number of COVID-19 cases, Ensemble Machine Learning (EML) would be an effective tool for combatting this pandemic outbreak. describe the network flow characteristics and converted into a grayscale feature by binary. For works. But, in this study, an improved symbiotic organism search with deep learning enabled fault diagnosis (ISOSDL-FD) model for gearbox fault detection in industrial systems. Those synchronized data measurements are extracted in the form of amplitude and phase from various locations of the power grid to monitor and control the power system condition. 3405-3419, 2023, DOI:10.32604/cmc.2023.027627 3579-3606, 2023, DOI:10.32604/cmc.2023.031491 Deadlocks may delay procedures like acquiring patient information. Abstract Nowadays, Internet of Things (IoT) has penetrated all facets of human life while on the other hand, IoT devices are heavily prone to cyberattacks. Abstract With the increasing and rapid growth rate of COVID-19 cases, the healthcare scheme of several developed countries have reached the point of collapse. caseload, there is an urgent need to augment clinical skills in order to identify from among Recent studies have treated emotion recognition of speech signals as a multimodal task, due to its inclusion of the semantic features of two different modalities, i.e., audio and text. As a result, a new metaheuristics-based feature selection method based on the dipper-throated and grey-wolf optimization (DTO-GW) algorithms has been developed in this research. 2677-2693, 2023, DOI:10.32604/cmc.2023.033273 permission provided that the original article is clearly cited. The proposed method is worked on the More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. With the More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. There has been a great deal of attention within the joint community of security and data science to improve machine-learning based NIDS such that it becomes more accurate for adversarial attacks, where obfuscation techniques are applied to disguise patterns of intrusive traffics. Abstract Vehicle-to-grid technology is an emerging field that allows unused power from Electric Vehicles (EVs) to be used by the smart grid through the central aggregator. This paper proposes a new voting classifier composed of an ensemble of machine learning models trained and optimized using metaheuristic optimization. 3, by single network we refer to the case where all solution variables (u x, u y, x x, y y, and x y) are outputs of a single network, thus sharing all network parameters except for the last layer.By independent networks we refer to the case where the solution variables are It can be noted that for all presented pairs of substances, the minimum of the detection limit is in the area of the sweep rate of 50 mV/s. The structures for the study were fabricated using deposition by vacuum evaporation of metals and optical lithography. Numerous studies are available in the literature which show the growth rate of cancer by different techniques. Every company learns big data to provide customized services with its customers. Outdoors, long-range (LoRa) backscattering facilitates large IoT services. The interelectrode distances were determined based on the simulation and amounted to 10, 20, 50, and 100 m. Therefore, the proper treatment of a patient having cancer can be processed in better way, if it can be diagnosed properly as early as possible using the better algorithms. Based on the online non-negative adaptive mechanism, the proposed control can remove the assumption that the uncertainties and disturbances must be bounded for the NFTSMC controllers. various WIS scenarios to improve the quality of data service. Cancer epigenetics has grown rapidly over the past few years as epigenetic alterations exist in all human cancers. 2575-2588, 2023, DOI:10.32604/cmc.2023.029046 proposed for removal of noise persisted due to non-uniform illumination during More >, CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2905-2925, 2023, DOI:10.32604/cmc.2023.031936 Data from several sources must be combined for use in many data mining applications. Once the image edges are detected for the three primary colors: red, green, and blue, these colors are merged using the combination rule. More concretely, in this paper, we use Gaussian functions as a basis function placed at sparse grid points to represent the parametric level-set function and More >, CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 3539-3560, 2023, DOI:10.32604/cmc.2023.032976 Therefore, the goal of this paper is to develop and evaluate a generic, data-independent More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp. This paper proposes a multi-agent load balancing framework that consists of two phases to optimize the workload among different servers with large-scale CC power with various utilities and a significant number More >, CMC-Computers, Materials & Continua, Vol.74, No.2, pp.
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