There has been an unexpected increase in the amount of healthcare waste during the COVID-19 pandemic. Managing healthcare waste is vital, as improper practices in the waste system can lead to the further spread of the virus. To develop effective and sustainable waste management systems, decisions in all processes from the source of the waste to its disposal should be evaluated together. Strategic decisions

Intermodal freight transportation facilitates today's global trade. The benefits of intermodal freight transportation have been studied and are more observable in commercial logistics; however, the potential benefits of humanitarian logistics have not been thoroughly investigated. This research aims to present a resilient transportation framework by modeling intermodal transportation utilizing interoperable

Pneumonia is a fatal disease that appears in the lungs and is caused by viral or bacterial infection. Diagnosis of pneumonia in chest X-ray images can be difficult and error-prone because of its similarity with other infections in the lungs. The aim of this study is to develop a computer-aided pneumonia detection system to facilitate the diagnosis decision process. Therefore, a convolutional neural

For load-carrying fillet welded joints, the fracture due to the crack propagation near the root takes place frequently in practical engineering. Given the essential role of welded joints in Tee configurations with double-sided and single-sided welds, the assessments of the fracture behavior of such joints and the stress intensity factors (SIFs) related to the crack opening (mode-I) fracture and the

A system of single wall carbon nano-tubes is focused to study dispersive properties of plasma waves in the presence of uniform axial magnetic field \(B_0\). Quantum Hydrodynamic model is proposed for the dynamical treatment of quantized low \(\beta \) dense electron plasmas. The impact of quantum characteristics of plasma electrons like Landau quantization of statistical Fermi states and exchange-correlation

Discovering high occupancy itemsets is an interesting area of research in data mining. Occupancy computation in traditional approaches is restricted to the occupied portions of the itemsets in the supporting transactions only. It can’t distinguish between the occupancies of the same itemset in different supporting transactions of equal lengths. If itemset size is equal to the transaction length, occupancy

Data available online is growing day by day that leads to a tough competition among data publishers to attract the largest possible audience. Obtaining reliable prediction related to future popularity of the online content becomes a concern to the publishers. In this paper, a novel nature-inspired metaheuristic framework is proposed that shortlists the prominent features of the video to participate

ICS (industrial control system) has gone through constant evolution in both hardware and software with the growing complexity of control applications. The generalization for these control systems has been a trend, and the hardware platform for ICS is getting multifunctional. Therefore, it is necessary to apply methods and technologies from the general software domain to handle this. CBSE (component-based

This paper presents a designed 2.4 GHz bidirectional power amplifier which is suitable for the amorphous flat air-to-ground Ad hoc network system. Based on this PA, each Ad hoc network node’s communication distance can be extended. The proposed PA is designed to be a bidirectional transmission structure. More specifically, RFPA5542 and MAX4003 chips are selected for the TX part. SKY65971 chip is selected

Rapid increase in stroke incidence coupled with the high cost and limited availability of healthcare professionals has made stroke rehabilitation process inaccessible to many patients in developing countries. Stroke rehabilitation exercises are of critical importance in ensuring quick and lasting recovery. A machine learning-based system that can automatically identify the completion status of upper

Despite H2 being a clean and high-energy carrier, it poses storage and transportation problems, due to high liquefaction pressure, low volumetric density, as well as low boiling point. Consequently, research efforts are focused on the search for sustainable alternative H2 storage technology. In this study, the thermodynamic analyses of liquid organic hydrogen carriers (LOHCs), which utilize the reversible

Power quality management is a widespread requirement in this renewal energy source (RES) integrated environment. A few of the key challenges faced during power quality management are total harmonic distortion (THD), poor power factor and reactive power compensation. This paper tries to improve these power quality issues using synchronous reference frame (SRF) theory-based distributed static compensator

Teleoperation is one of the most efficient ways to control a robot remotely. It reproduces the movements of the robot as a human exhibits in real time. In this paper, a framework is proposed for a Kinect-based teleoperation which allows the NAO humanoid robot to imitate the recognised human motions using Hidden Markov Model (HMM). Microsoft Kinect v2.0 is used to capture the human motions, which makes

Damage of liquid storage tanks (LSTs) due to earthquakes has increased the base isolation systems' demand. As base isolation is a proven control system for mitigating the damages in typical load-bearing structures, its implementation in LSTs is undoubtedly of interest. In the current study, the seismic performance of the base-isolated 3D model of concrete LSTs is investigated under two-component earthquakes

The first and last mile connectivity is the weakest element for any public transit system becoming successful. Huge investment in provision of mass transit is not justified when these services remain underused. The present study aims to determine accessibility to metro by feeder modes and its influence on feeder mode choice behavior. An accessibility index is estimated considering trip characteristics

In general, building materials exposed to the marine environment are more prone to deteriorates than others. There are three main zones of the marine environment named atmospheric zone, tidal zone and submerged zone. This article investigated the effect of different curing conditions named water curing, air curing, seawater curing and wet/dry curing on the compressive strength and microstructure properties

Thermal comfort is a condition of mind that expresses satisfaction with the thermal environment. Thermal comfort is critical for both health and productivity. Inadequate thermal comfort results in stress for building inhabitants. Improved thermal conditions are directly related to improved health and productivity of individuals. This paper proposes a novel human thermal comfort model using machine

The anisotropic behavior induced by the bedding planes is a key point for the underground exploitation in oil shale, which is becoming a significant energy source worldwide. To elucidate the physical and mechanical properties of Ma′quan oil shale and the anisotropic behavior of the elastic, strength, and fracture properties, several experiments were conducted to investigate the mineral composition

Securely handling the biometric information of an individual is still a major challenge in many applications. For this reason, many cancelable techniques are present which were proposed with an aim to provide security, but adversarial attacks like a similarity-based attack on popular methods have recently been reported in the literature. In this paper, we propose a random walk-based method for cancelable

Failure mode and effect analysis (FMEA) is a method used to detect causes of failures that may occur in a product or process, and FMEA is more important to prevent a failure before existing by computerized controllers in many industries. The control mechanism must have the ability to calculate and interpret the risk priority number (RPN) value for a fault mode. RPN consists of the ratio values of severity

College physical education system is an essential component of the national health plan. Promoting the technical and modernized construction of the physical education curriculum in colleges and universities is crucial to enhance higher education's science and performance. In this technological era, the Internet of Things (IoT) is used in physical education to train and record physical activities. In

In this study, an energy-efficient unrelated parallel machine scheduling problem is discussed. The speed scaling mechanism has been taken into account as an energy-efficient strategy. Unrelated parallel machine scheduling with speed scaling is generalized by considering machine-sequence dependent setup times and learning effect features. A multiobjective mixed-integer linear programming (MILP) model

Wearable devices equipped with sensors popularly used for health monitoring are capable of accumulating motion data providing objective measures of various physical activity and sleep attributes. Also, smartphone usage has grown to an extent where phones have become an integral part of lifestyle contributing to users’ screen viewing time. Behavior and behavioral attributes of individuals’ personal

According to modern seismic codes, in certain cases, the vertical component of the ground motion has to be taken into account. However, no specific instructions concerning the structural modelling—and especially the modelling of vertical masses—are provided. The objective of the present paper is the evaluation of alternative structural models of reinforced concrete slabs under vertical seismic excitation

The present need for lightweight, high-strength materials in advanced applications has prompted researchers to concentrate on hybrid aluminium matrix composites (HAMCs). For automotive applications, boron carbide (B4C) and fly ash (FA)-reinforced HAMCs are viable options. Mechanical characterization of stir-casted B4C and FA-reinforced Al7075 HAMCs was done in this study. The compositions of the examined

As an important stimulation technology, refracturing is commonly used to enhance oil or gas recovery in tight reservoirs, particularly for poorly/damaged fractured wells in these reservoirs. However, the stimulation effect of refracturing is not clear at present. Accurate evaluation of the effect of refracturing treatment on the productivity of a poorly/damaged fractured well is of great significance

The recovery and utilization of waste wind is an important way to construct a green mine. In this paper, the power generation technology of air kinetic energy recovery in mine return air-head was numerically studied. Through the theoretical analysis of mine return air power generation, the key parameters of wind turbine were designed and determined. FLUENT and QBlade were used to simulate the local

The fraud detection system in banking organisation relies on data-driven approach to identify the fraudulent transactions. In real time, detection of each and every fraudulent transaction becomes a challenging task as financial institutions need aggressive jobs running on the log data to perform a data mining task. This paper introduces a novel model for credit card fraud detection which combines ensemble

Thermo-hydraulic behavior of the ribbed minichannel heat sink, having nine rectangular-shaped channels, is numerically investigated in the present study by using a multi-phase mixture model. Four different types of ribs (semi-circular, rectangular, triangular and trapezoidal ribs) and two hybrid nanofluids (Al2O3 + TiO2/DI water and Al2O3 + Cu/DI water) with a total nanoparticle volume concentration

With the developing world, cities have begun to become smarter. Smart parking systems, with the ever-increasing number of vehicles, are among the important matters in smart cities. The reason for this is that the search for parking spaces that are already insufficient, brings along a serious cost, air pollution and stress issues. In this study, a new approach that attempts to forecast the parking lot

The selection of relevant training data significantly improves the quality of cross-project defect prediction (CPDP) process. We propose a training data selection approach and compare its performance against the Burak filter and the Peter filter over Bug Prediction Dataset. In our approach (BurakMHD), firstly a data transformation is applied to the datasets. Then, individual instances of the target

The lifetime of the wireless sensor network is treated as a concerning topic for every network related application as the sensors are provided with limited battery capacity. In order to improve the network life, the energy of the nodes should be utilized in a well-organized way. The existing cluster-based routing protocols and data aggregation approaches have helped in enhancing the network's lifetime

The necessity to diminish the heliostats’ cost so that central tower concentrating solar power (CSP) systems can stride to the forefront to become the technology of choice for generating renewable electricity is obliging the industry to consider innovative designs, leading to new materials being implemented into the development of heliostats. Honeycomb sandwich composites offer a lightweight but stiff

Traditional MPPT algorithms have demonstrated effective performance relative to their flexibility and simplicity of implementation. However, its main disadvantages are the ineffectiveness and the large oscillations around the maximum power point under rapidly changing operating conditions. In order to achieve better performance in power production from a proton exchange membrane fuel cell system (PEMFC)

Money laundering is an act of criminals attempting to cover up the nature and source of their illegal gains. Large-scale money laundering has a great harm to a country’s economy, political order and even social stability. Therefore, it is essential to predict the risk of money laundering scientifically and reasonably. Money laundering data have complex temporal dependency. Historical transactions have

Considering the correct disposal of the significant volume of polyethylene terephthalate (PET) waste generated worldwide, interlocking concrete block pavement can be an alternative. Thus, in this study, the performance of interlocking blocks produced with partial replacement of fine aggregate by micronized PET in the percentages of 2.5, 5.0, 7.5, and 10.0% was evaluated. The results indicated that

This paper presents brain emotional controller (BEC)-based adaptive mechanism in Model Reference Adaptive System (MRAS) to control sensorless permanent magnet synchronous motor (PMSM) drive. BEC is a bio-inspired intelligent controller developed using neurobiological connections of mammalian brain by inspiring limbic system. The developed controller is applied as speed controller and parameter estimation

The advantages of metal powder in the Polylactic Acid (PLA) matrix for strengthening have attracted interest among the researchers. An attempt was made to use the advantages of copper (Cu) as the reinforcing component in the PLA matrix. After a few series of exams, copper with weight percentages of 12 in the PLA matrix was reported to be an appropriate composition. The PLA-Cu composite filament with

This investigation reports the rheological behavior of ZnO-MWCNT/10W40 nanofluid at the temperature range of 5 °C–45 °C, in the volume fraction (VF) of 0.05%–1%, and in the shear rate (SR) of 666.5 (1/s) to 11,997 (1/s). ZnO and multiwall carbon nanotube were mixed by a volume ratio of 60:40 and dispersed into 10W40 lubricant by a two-phase mixing method. In order to use the sets data of the current

The current study investigates the flow of viscous nanofluids over the stretching surface with variable thickness in the presence of heterogeneous and homogeneous reactions. Comparison is made for water-based nanofluids with copper (Cu), silver (Ag), copper oxide (CuO), aluminum oxide (Al2O3), and titanium oxide (TiO2) as nanoparticles. The heat transfer phenomenon is characterized by nonlinear thermal

Fluid flow and heat transfer of \(\text {Al}_2\text {O}_3\)/water and CuO/water nanofluids with 1–3\(\%\) volume fraction of nanoparticle in a clockwise–counter-clockwise twisted square duct \((T_{CW-CCW}SD)\) are numerically simulated using the \(\kappa --\epsilon \) turbulence model. Nanofluids flow through a twisted duct with uniform wall temperature boundary conditions, twist ratios of 8.5, 11

The liquid film flow of a blood-based hybrid nanofluid, comprising carbon nanotubes (CNTs) with variable viscosity, through a stretcshing sheet has been investigated. CNTs have many applications, such as high electrical and thermal conductivity, 18% more elasticity than other commonly used nanoparticles, high tensile strength, low thermal expansion coefficient, and improved electron emission, making

This study investigates the effect and permanency of a virtual reality (VR) based training method on complex assembly task performance and product quality. The correct assembly of a complex industrial product is crucial to reduce the production flaw in manufacturing. For this reason, a VR training set was developed for a hydraulically-controlled clutch complete set (HCCCS), consisting of 90 parts,

Residual networks (ResNets) have recently achieved great success for single-image super-resolution, but its identity connection leads to accumulation of a mixed levels of feature representations, and it is not conductive to optimize the information flow. To address these issues, a novel Resnet in Resnet architecture (RiRSR) based on generalized residual (GenRes) module is proposed to reconstruct the

Radio propagation predictions play an important role in the design and installation of infrastructure systems that use radio communication technologies. Although different methods are used for this purpose, ray-tracing methods such as shooting and bouncing ray have proven to be successful in terms of performance. On the other hand, unnecessary ray tracing that consumes the system resources poses a

In order to solve the problems of low magnetic flux density and non-uniformity of magnetic flux density of traditional Lorentz force magnetic bearing (LFMB), a combined magnetic steel single closed magnetic loop magnetic bearing with suction type is designed. Firstly, the magnetic field intensity and magnetic field uniformity of the traditional LFMB are analyzed, and the existing problems of the traditional

Contractive auto-encoder (CAE) is a type of auto-encoders and a deep learning algorithm that is based on multilayer training approach. It is considered as one of the most powerful, efficient and robust classification techniques, more specifically feature reduction. The problem independence, easy implementation and intelligence of solving sophisticated problems make it distinct from other deep learning

Injection of carbon dioxide (CO2) into saline aquifer for sequestration is a promising approach to mitigate the climate issue. However, reactive interactions between various CO2–brine–rock parameters have significantly affected the CO2 sequestration. Factors such as brine type, brine salinity, reactive pore surface area and contact time were found to significantly alter the physical rock properties

Exploiting the impact of Lorentz force and convective heating boundary on second-grade nanofluid flow alongside a Riga pattern is the main objective of the present work. Modelling of the present work is done through Grinberg term and a Lorentz force applied parallel to the wall of a Riga plate. The nanoparticles fraction on the solid surface of Riga pattern maintained a strong retardation because of

Traditional technologies such as thermoelectric power generation (TEG) and organic Rankine cycle (ORC) are difficult to consider the multiple characteristics of various vessel waste heat, and the utilization rate is low. This paper presents a combination of TEG–ORC bottom cycles sources and studies the influence of the ORC evaporation pressure on the system output power, thermal efficiency, multi-stage

The pounding effect at the expansion joints on the seismic response of a long-span deep-water high pier bridge with multiple approach spans under earthquake is studied considering the fluid–structure interaction effect. The nonlinear fibre element is used to simulate the main piers and transition piers. The contact element is employed to consider the seismic pounding effect at the expansion joints

The basic properties of alkali–surfactant–polymer (ASP) flooding produced water and effect of oil displacing agent on the stability of flooding produced water were obtained by measuring and analyzing the water quality of Zhong-106, etc., flooding water from Daqing Oilfield and the relationship between oil content-settling time and oil displacing agent-oil drop size. The addition of ternary oil displacement

In this study, a new technique has been introduced by changing the convergence of the whale optimization algorithm, which has the principle of approaching its prey by following the pack leader strictly. For this, first of all, average position values of the swarm were obtained in each iteration. Later, when the "p" parameter, which is used to add randomness to the progress of the swarm members, is

Geopolymer is an environment-friendly cementitious material, which can effectively immobilize heavy metals. However, the existing study on solidification/stabilization (S/S) of heavy metal contaminated soil using geopolymer is very limited. In order to investigate the effects of geopolymer produced by activating fly ash (FA) and ground granulated blast-furnace slag (GGBS) (FA + GGBS) with composite

The study concerns the investigation of flexural behaviour of steel fibre reinforced concrete (SFRC) and conventional reinforce concrete (RC) beams incorporating steel fibre. Hooked-end steel fibres were used at the contents of 20 kg/m3, 40 kg/m3, 60 kg/m3, 80 kg/m3 and 100 kg/m3 in production of SFRC specimens and RC beams. Flexural tests were achieved on both SFRC and RC beams. Mechanical properties

Seismic response of the pile-supported structure is strongly affected by soil–pile interaction (SPI) because the depth, properties and density of the layered soil differ for every place. In this research, a general cyclic Beam on Nonlinear Winkler Foundation (BNWF) model was developed to account for the SPI problem's essential features, including lateral load characteristics, multilayer sandy soil

Several studies have investigated palm trees’ microbiota infected with red palm weevil (RPW) (Rhynchophorus ferrugineus), the major pest of palm trees. This study compared the microbial communities of infected and uninfected palm trees in the Hail region, Northern Saudi Arabia, determined by high-throughput 16S rRNA gene sequencing by Illumina MiSeq. The results indicated that taxonomic diversity variation

This paper presents the development of the outrigger structural system from the conventional outrigger to damped outrigger concepts. Outrigger structural system development from the conservative design as a rigid connection to a virtual connection with passive control, active control system, semi-active control system to hybrid control system is deliberated. Following brief overviews on history of

The success of any company depends significantly on the realization of new products, which in turn depends on the selection of the best initial concept. Concept evaluations and selections during product development are critical decision-making steps and involve multiple-criteria decision-making (MCDM). This work proposes a concept evaluation and selection model which considers not only customer requirements

This paper exploits various meta-heuristic optimization techniques to learn PID controller parameters for nonlinear systems. The nonlinear systems considered here are well known ball and beam, inverted pendulum, and robotic arm manipulator. The gain parameters of the controllers are optimized by using two categories of meta-heuristic optimization techniques—swarm-based grasshopper optimization algorithm