We propose a Caputo-based fractional compartmental model for the dynamics of the novel COVID-19 transmission dynamics. The newly proposed nonlinear fractional order differential equation epidemic model is an extension a recently formulated integer-order COVID-19 mathematical model. Using basic concepts such as continuity and Banach fixed-point theorem, the existence and uniqueness of the solution to

The aim of present study is to investigate the convective heat and mass transfer in steady MHD boundary layer flow of an electrically conducting micropolar fluid over an inclined surface. Partial differential equations resulting from the mathematical modeling of the phenomenon are reduce to nonlinear ODEs, and a finite difference based scheme has been adopted to iteratively find the numerical solution

This work adopts to the time-fractional Klein–Gordon equation (FKGE) in the Caputo sense. We present a new technique using the clique polynomial as basis function for the operational matrices to obtain solution of time-FKGE. The key advantage of this technique is converting the time-FKGE to algebraic equations, which can be simply solved the problem under study. For the approximation of a bivariate

Our main goal is to develop some results for transmission of COVID-19 disease through Bats-Hosts-Reservoir-People (BHRP) mathematical model under the Caputo fractional order derivative (CFOD). In first step, derived the feasible region and bounded ness of the model. Also, we derived the disease free equilibrium points (DFE) and basic reproductive number for the model. Next, we establish theoretical

Mechanical feed mixers are preferred for their higher efficiencies. A wide range of these feed mixers are available and used in the Ashanti and Brong Ahafo regions of Ghana due to a higher concentration of poultry farms in these regions. The performances of both local and foreign poultry feed mixers in the two regions were evaluated. This was carried out as a procedure to identify the types, measure

Due to the importance of studying the change in glucose which affected by obesity and results in a negative effect on the health of the body, In this paper, glucose metabolism model was developed to study the effect of obesity. The bifurcations and related dynamical behaviors of our model were studied completely . For the non-delay model, it is shown that the model undergoes co-dimension 1 bifurcation

In this paper, we present the existence criteria for the solutions of boundary value problems involving generalized fractional integro-Langevin equation and inclusion supplemented with nonlocal fractional boundary conditions. The main idea of the current research is to combine the integro-differential and Langevin structures together. The main tools of our study include certain inequalities and well-known

With the effect of discrete time delay in deliberation, we propose and analyze a conceptual mathematical model for the tumor-immune interaction. The proposed model is delineated by a system of three coupled non-linear ordinary differential equations (ODEs), namely tumor cells, effector cells and cytokine Interleukin-2 (IL-2). Though simple, the model can have complicated dynamical behaviors. We have

The hydraulic network study is a real-life engineering problem extensively base on applied and computational approaches. Several numerical schemes are tested for defining of hydraulic pipe networks solution, such as, Hardy Cross Method, Newton Method and Modified Newton method are presented in this paper. Convergence analysis are also compared and deliberated by using a multi-loop hydraulic network

Deep learning approaches have attracted a lot of attention in the automatic detection of Covid-19 and transfer learning is the most common approach. However, majority of the pre-trained models are trained on color images, which can cause inefficiencies when fine-tuning the models on Covid-19 images which are often grayscale. To address this issue, we propose a deep learning architecture called CovidNet

New and novel heavy metal ion selective organic-inorganic composite CNTs reinforced polyaniline@Zn-CuO was expediently obtained by the sol-gel method. Conducting monomer, aniline was polymerized by in situ chemical oxidation. The CNT reinforced polyaniline@Zn-CuO was used for the preparation of ion-selective membrane. The prepared membrane was characterized for porosity, swelling, and find suitable

It is a highly productive approach to analyze human languages with complex networks, because the language network can effectively predict unknown features. One of the classical features in complex networks is module (or community) structure, which features dense intra-group connections and sparse inter-group connections. This work aims to identify oracle characters, the oldest characters in China,

The identification of influential observations is an essential element in regression analysis as they posed a threat to the model building process. The existence of multicollinearity among the regressors complicates the presence of influential observations. Different influential diagnostics have been presented in literature so far using generalized linear models (GLM). In this paper, approximate deletion

Rates of mass and heat transfer at the wall of a square agitated vessel fitted with semicylindrical turbulence promoters were measured using the electrochemical limiting diffusion current technique. Variables studied were promoter diameter, spacing between successive promoters, promoter orientation, impeller speed, and impeller geometry. The data were correlated by empirical dimensionless correlations

The present effort elaborates the fractional analyses for Darcy-Forchheimer hybrid nanoliquid flow over a porous spinning disk. Temperature and concentration slip conditions are utilized at the surface of the spinning disk. A specific type of nanoparticles known as Silver-Ag and Magnesium-oxide MgO is added to the base fluid, to synthesis the hybrid nanoliquid. By using Karman’s approach, the system

In this work, we aim to propose a mathematical formalism for the human liver involving Caputo fractional derivative (CFD) with modified parameters. Regarding the proposed fractional order model (FOM), the positivity and boundedness theory of an explicit solution are established by using the fractional mean-value theorem in the sense of Caputo. In addition, the validation of the FOM is provided to ensure

In this article, the new approach called, the optimal auxiliary function method (OAFM) has been extended with the help of the fractional complex transform method (FCTM) to fractional order partial differential equations (PDEs). The beauty of the method is that, there is no need for small or large parameter assumption in the problem. Similarly, the proposed method gives an approximate solution after

In this work, a new framework for breast cancer image segmentation and classification is proposed. Different models including InceptionV3, DenseNet121, ResNet50, VGG16 and MobileNetV2 models, are applied to classify Mammographic Image Analysis Society (MIAS), Digital Database for Screening Mammography (DDSM) and the Curated Breast Imaging Subset of DDSM (CBIS-DDSM) into benign and malignant. Moreover

Egypt lies in a dry region of the world. The management of water resources in dry areas is necessary to maintain the limited quantities of water available and to achieve an appropriate level of development, food security and stability. The current study aims to estimate the water footprint (WF) of Egyptian crops in the old and new lands inside and outside the Nile Valley and Delta. In addition, comparison

This manuscript is presented to investigate peristaltic phenomenon of a flow driven peristaltically in an asymmetric inclined channel under the influence of externally applied magnetic field without employing the assumption of long wavelength and smaller Reynolds number assumptions which permit the effects of dominant inertial forces and to solve the Navier-Stokes equations in full form. The numerical

Herein, we propose a fractional-order delay differential model for the dynamics of Hepatitis-C Virus (HCV), with interferon-α(IFN-α) treatment. A fractional-order derivative is considered to represent the long-run immune memory required for intermediate cellular interactions. A discrete time-delay τ is also incorporated to represent the intracellular delay between initial infection of a cell by HCV

With the development of mobile communications and Internet of things (IoT), the Internet of vehicles (IoV) has become commonplace. To integrate the heterogenous IoV networks, this paper mainly explores the heterogenous network selection mechanism for the IoV. Considering the diversity of IoV networks, the authors proposed a heterogenous network selection algorithm based on comprehensive weight. Based

The vibration signals of rolling bearings are unstable and nonlinear, with weak information on failure features and extremely low signal-to-noise ratio (SNR). To solve these problems, this paper presents a failure diagnosis method based on variational mode decomposition (VMD) optimized by the improved whale optimization algorithm (IWOA) is proposed, and verifies the effectiveness of the method through

This research studies novel analytical solutions of an Atangana conformable fractional Lotka–Volterra (LV) model system arising in ecology by means of three systematic schemes (the extended simplest equation method, modified Kudryashov method, and the sech–tanh expansion method). Then we use the obtained solutions to evaluate the boundary and initial conditions that helps to apply the B-spline collection

A refining plant in the Middle East began official production in 2020 to produce strategic products. After production stabilization, the plant operators decided to implement energy optimization. While the refining plant utilizes a large number of units, only four units were selected for optimization. In addition, two scenarios were studied for optimization. Scenario 1 involves stopping the use of the

To improve the heat efficiency base fluids (water, engine oil, glycol), the interaction of nanoparticles (nanotubes, droplets, nanowires, metals and non-metals) into such traditional liquids is the most frequent mechanism and attained the researchers attention, especially in current decade. The nanofluid is a suspension of submerged solid particles in base fluids. The nano-materials convinced the applications

This paper presents an assessment of the tumbling strength and reactivity behaviour of hybrid fuel briquette (HFB) produced from coal and torrefied woody biomass wastes. Briquettes were produced using 97% coal and 3% torrefied biomass with the blend of pitch and molasses in different ratios as a binder. The briquettes were treated in an inert environment at 200–300 °C for a residence time of 60 and

The Unmanned Underwater Vehicles (UUV) designed for the detection and neutralization of naval mines are characterized by their high requirements regarding the reduction of the signatures of a vessel (thermal, acoustic, magnetic, etc.), all of them must be reduced in order not to be detected by the mines during the mission. This research work focuses on the reduction of the thermal signature transmitted

Yarn-dyed textiles are complementary to digital printing textiles. They promise high production and environmentally-friendly energy efficiencies. However, the complicated structures of color-blended composite yarns cause unpredictability of colors in textile products. This has become a roadblock in the development of environmentally-friendly textile products. In the present work, we propose a framework

The virus that begins from Wuhan China, known as COVID-19 or coronavirus is still a huge panic for humans around the globe. The elimination of this virus from our society needs proper attentions to follows the rule suggested by World Health Organization (WHO). A vast literature on the modeling of this infection in various perspective is available. In the present work, we design a new mathematical model

This research communicates the thermal assessment of Sutterby nanofluid containing the gyrotactic microorganisms with solutal and Marangoni boundaries. The applications of melting phenomenon and thermal conductivity are also considered. The flow is confined by a stretched cylinder. The prospective of Brownian motion and thermophoresis diffusions are also taken account via Buongiorno nanofluid model

Internet technology, as a product of the development of the network era, connects a large number of hardware devices, but the connection of many devices makes its corresponding security be greatly tested. The network security technology and the corresponding computer hardware security technology have become the focus of people's attention. At the same time, the construction of multimedia database based

With the rapid development of network multimedia technology, video communication technology has made great progress and has been applied in many fields. Educational video communication is an intuitive, timely, efficient, and remote communication tool. Video communication technology extends to educational and management. It includes interactive distance learning, distance course observation, distance

Based on binocular stereo vision measurement and wireless sensing theory, this paper studies the measurement and analysis methods of athletes' movement displacement parameters. The main purpose is to explore the relationship between sports biomechanical parameters. The analysis reveals the laws of athletes 'movements, and provides theoretical guidance on athletes' attitude recognition and physical

To protect the dam body and downstream area, spillways should be built. Because the difference in water level upstream and downstream spillways is usually very big, energy dissipation facilities should be introduced. Stepped spillways were discovered to immensely enhance energy dissipation. V-notch end sills installed on stepped spillways were not investigated enough. The challenge in using this type

This paper proposes an advanced numerical-analytical approach for handling a class of fuzzy fractional differential equations involving Caputo-Fabrizio derivative with a non-singular kernel arsing in the medical sector. The solution methodology relies on the reproducing-kernel algorithm to generate analytical solutions in the form of a uniformly convergent series in the direct sum of the desired Hilbert

The COVID-19 pandemic (SARS-CoV-2 virus) is the global crisis of our time. The absence of mass testing and the relevant presence of asymptomatic individuals causes the available data of the COVID-19 pandemic in Brazil to be largely under-reported regarding the number of infected individuals and deaths. We develop an adapted Susceptible-Infected-Recovered (SIR) model, which explicitly incorporates the

Nowadays flux switching machines (FSMs) offer important role in various high torque applications. In these machines, the flux sources such as field excitation coil (FEC), armature winding and permanent magnet (PM) are located in the stator while leaving the rotor part as winding less. However, FSMs with single stator associate with limited free space for active sources in stator, which leads to some

This study proposes a Padé approximation based hybrid mesh free framework for numerical solutions of nonlinear partial differential equations. The proposed framework involves three novel aspects. Firstly, the conjunction of Padé approximation based residual functional and penalty function approach for handling boundary/Initial conditions is employed to design an equivalent optimization problem. Secondly

Agricultural pests cause between 20 and 40 percent loss of global crop production every year as reported by the Food and Agriculture Organization (FAO). Therefore, smart agriculture presents the best option for farmers to apply artificial intelligence techniques integrated with modern information and communication technology to eliminate these harmful insect pests. Consequently, the productivity of

A mathematical model for current-induced magnetization dynamics in ferromagnets at elevated temperatures is considered. The model is represented by a classical Landau-Lifshitz-Bloch equation containing adiabatic and non-adiabatic torques. In the case of a ferromagnet confined to a bounded domain of R3, we prove existence of a weak solution by using Faedo-Galerkin approach and a compactness method.

The leading objective of this article is to investigate the analytical and numerical solutions of the Generalized Benjamin-Bona-Mahony (GBBM) equation. We also aim to compare the performance of the considered methods for solving this equation. The exact solution is obtained analytically while the numerical solutions are demonstrated using some techniques, namely, the adaptive moving mesh and uniform

The present note addresses the problem of estimation of population mean in the presence of non response. We have proposed the difference and ratio type estimators in two distinct situations of non response using the dual of an auxiliary variable. Some conventional estimators like mean, ratio, product, power transformation, regression, difference, and some other difference type estimators are the special

This article connects mobile terminals through improved network protocols, and connects monitoring devices through improved network protocols in the local area network. At the same time, it can convert mobile terminal requests into requests that comply with improved network protocols and forward them to monitoring devices. Method of three-dimensional feature extraction based on dynamic data. First

A novel multiobjective adaptive surrogate model is employed for the prediction of full-film lubrication performance of surface texture profile for thrust bearings in axial piston pumps. At present, a surface texture optimization design of thrust bearing in axial piston pump has not been provided based on a unique design solutions. In this study, multi-objective adaptive surrogate-based optimization

The anti-seepage wall project is an important part of the anti-seepage system of water conservancy and hydropower projects, and it is the basic facility and barrier to resist floods and ensure the safety of people's lives and property. This paper analyzes the wireless communication GPRS (General Packet Radio Service) technology. After establishing a mathematical model and determining the optimal sensor

It is estimated that by the year 2030, the cumulative of Electric Vehicles (EVs) will reach 85 million. Once EV batteries degraded to 70–80% of their initial capacity, EV owners will have to replace the EV’s batteries as the residual capacity becomes insufficient for automotive use. As a result, more batteries will be discarded from EVs. These batteries could be re-purposed in other applications, where

Dilution of engine oil with unburned fuels alters its lubricity and tribological properties. In this research paper, SAE-40 lubricating oil samples were contaminated with known percentages (5%) of fuels (diesel, palm-sesame biodiesel blend (B30), B30 + ethanol, B30 + dimethyl carbonate, B30 + carbon nanotubes and, B30 + titanium oxide). The effect of all these fuels on wear and frictional characteristics

This study aims to estimate the number of COVID-19 cases under- ascertained (η), and the basic reproduction number (R0) during the early stage of epidemic in Kano, Nigeria. We adopt a simple exponential growth model to capture the patterns of COVID-19 early epidemic curve in Kano. The R0 is estimated at 2.7 (95%CI: 2.5, 3.0). We find that the number of COVID-19 cases under-ascertained likely occurred

X-ray imaging is the primary diagnostic tool for clinical diagnosis of suspected fracture. Hand fracture (HF) is a world-leading health problem for children, adolescents and the elderly. A missed diagnosis of hand fracture on radiography may lead to severe consequences for patients, resulting in delayed treatment and poor recovery of function. Nevertheless, many hand fractures are fairly insidious

A dynamic monitoring system for patient health indexes based on mobile terminal is designed. The design of the system is divided into four parts. Firstly, four-layer framework of the system is designed, including acquisition, communication, display and alarm. Secondly, the hardware of the system is designed. Thirdly, the three software running programs of the system are designed, including patients’

In this paper, a coupled system of fractional differential equations along with integral boundary conditions is discussed by means of the iterative reproducing kernel algorithm. Towards this end, a recently advanced analytical approach is proposed to obtain approximate solutions of nonclassical-types boundary value problems of fractional derivatives in Caputo sense. This approach optimizes approximate

This article concerns an examination of thermal attributes generated in non-linearly varying viscosity-dependent viscoelastic fluid flowing over an isothermally inclined riga surface. The mathematical formulation is conceded by obliging conservation laws of momentum and energy in the form of PDE’s. Thermal aspects are highlighted in the attendance of radiative heat flux. Similarity variables are capitalized

Thermal and hydraulic performance for laminar flow over a fin and flat tube heat exchanger with various aspect ratios studied numerically. The parameters studied were inlet air velocity and flat-tube aspect ratio. The inlet air velocity was changed within the range of 0.5–3.5 m/s, and the aspect ratio of the flat-tubes has been changed in the range of 0.33–1. To do this study, a three-dimensional numerical

This paper constructs an epsilon-based measure (EBM) model containing an undesired output, and uses the model to measure the transportation industry total factor energy efficiency (TITFEE) of 30 Chinese provinces in 2005–2017, based on the relevant panel data. In addition, both absolute and conditional beta convergence models (BCMs) were established to empirically analyze the convergence of China’s

We propose a novel design of orthogonal frequency division multiplexing-mode division multiplexing (OFDM-MDM) based radio over free space optical (RoFSO) transceiver under the dust effect. Two separate 20 Gbps-40 GHz 4-QAM data bearing optical beams are transported over two distinctive Hermite-Gaussian modes; HG00 and HG01, of a single-frequency laser to realize a single-channel 40 Gbps-80 GHz 5G communication

This paper uses wavelet neurons instead of traditional neurons, and uses wavelet multi-resolution analysis to decompose the FPGA image scan of the ship engine. Because the neural network has the approximation ability of arbitrary functions, the wavelet transform is connected to the neural network to form a wavelet neural network. To test ship engines. The hardware design of GigE image acquisition and

To help individuals deal with volleyball learning and training, an online volleyball remote teaching system is designed based on Augmented Reality (AR) technology. Firstly, the action images of the volleyball coach were captured, followed by being input into the computer. The hardware of the system was mainly composed of motion capture equipment, data transmission equipment, central control processing

The traditional fixing method for coverage gap in wireless sensor network (WSN) mainly targets the homogenous networks, in which all nodes have the same detection radius. By this method, the gaps in the network are covered randomly by mobile nodes, leading to low coverage and resource waste. Considering the different detection radii of actual WSN nodes, this paper explores the gap fixing in heterogenous

Cubic model of flux-controlled memristor model is presented in this work and the model is analyzed at various fractional orders. Analytic computations with a sinusoidal source shows that the v-i loop can have up to two more additional intersection points aside from the origin and are located in the 1st and 3rd quadrants respectively. The locations of the intersection points and the area of the v-i