Sökresultat

Filtyp

Din sökning på "*" gav 529814 sökträffar

Identification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models

Chronic diseases are the most severe health concern today, and heart disease is one of them. Coronary artery disease (CAD) affects blood flow to the heart, and it is the most common type of heart disease which causes a heart attack. High blood pressure, high cholesterol, and smoking significantly increase the risk of heart disease. To estimate the risk of heart disease is a complex process because

Security issues and challenges in cloud of things-based applications for industrial automation

Due to the COVID-19 outbreak, industries have gained a thrust on contactless processing for computing technologies and industrial automation. Cloud of Things (CoT) is one of the emerging computing technologies for such applications. CoT combines the most emerging cloud computing and the Internet of Things. The development in industrial automation made them highly interdependent because the cloud c

Prognosis of compressive strength of fly-ash-based geopolymer-modified sustainable concrete with ML algorithms

Sustainable concrete is the demand of the present era to reduce carbon emissions. Fly-ash-based geopolymer (FLAG) concrete has been used in the construction industry for more than one and a half decades. The compressive strength (CS) of concrete plays a crucial role in the mechanical properties of concrete. Laboratory experiments take a huge amount of time and cost to estimate the CS of concrete.

Enhancing Sustainability of Corroded RC Structures : Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms

The bond strength between concrete and corroded steel reinforcement bar is one of the main responsible factors that affect the ultimate load-carrying capacity of reinforced concrete (RC) structures. Therefore, the prediction of accurate bond strength has become an important parameter for the safety measurements of RC structures. However, the analytical models are not enough to estimate the bond st

Systemically administered zoledronic acid activates locally implanted synthetic hydroxyapatite particles enhancing peri-implant bone formation : A regenerative medicine approach to improve fracture fixation

Fracture fixation in an ageing population is challenging and fixation failure increases mortality and societal costs. We report a novel fracture fixation treatment by applying a hydroxyapatite (HA) based biomaterial at the bone-implant interface and biologically activating the biomaterial by systemic administration of a bisphosphonate (zoledronic acid, ZA). We first used an animal model of implant

Fine tuning of the innate and adaptive immune responses by Interleukin-2

Novel immunotherapies for cancer and other diseases aim to trigger the immune system to produce durable responses, while overcoming the immunosuppression that may contribute to disease severity, and in parallel considering immunosafety aspects. Interleukin-2 (IL-2) was one of the first cytokines that the FDA approved as a cancer-targeting immunotherapy. However, in the past years, IL-2 immunothera

Transmission Probability of SARS-CoV-2 in Office Environment Using Artificial Neural Network

In this paper, curve-fitting and an artificial neural network (ANN) model were developed to predict R-Event. Expected number of new infections that arise in any event occurring over a total time in any space is termed as R-Event. Real-time data for the office environment was gathered in the spring of 2022 in a naturally ventilated office room in Roorkee, India, under composite climatic conditions.

Application of machine learning for hydropower plant silt data analysis

Among all renewable energy resources, hydropower is the most predictable and reliable source of energy. In the Himalayan region, most of the hydropower plants suffer from the problem of silt erosion. During the monsoon period, the quantum of silt particles is remained quite high, which damages the hydro-mechanical components of the plant. In order to reduce the risk that occurred by the silt erosi

Complications of ultrasound guided very small-bore chest drains for pleural effusions of different etiology

Background: Small-bore chest drains are now the most common drains for treating pleural effusion (PE), but knowledge on complications is limited especially in malignant PE and empyema. We aimed to evaluate rate of complications of ultrasound guided small bore chest drains [6–10 French (F)] by PE etiology. Methods: Retrospective cohort study of 484 chest drains inserted in 330 adults in a Swedish d

Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN

The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to study the transmission probability in mixed-mode ventilated office environments. Artificial neural network (ANN) and curve fitting (CF) models were created to forecast the R-Event. The R-Event is defined as the anticipated number of new infections that develop in particular events occurring over the course of

Adaptive neuro-fuzzy interface system based performance monitoring technique for hydropower plants

Energy has played a significant role in developing civilization, but the continuous use of fossil fuels has hampered the environment. Hydropower is the alternative to fossil fuels. But most of the hydropower plants in hilly areas suffer from silt erosion problems. Erosion of underwater parts creates vibration and noise and reduces machine efficiency. Therefore, online monitoring of turbines and ot

Prediction of energy generation target of hydropower plants using artificial neural networks

Hydropower is a renewable, reliable, and highly predictable source of energy. It has been used for centuries. The tariff of energy generation is divided into two parts: fixed charges and variable charges. Fixed charges are based on the availability of machinery (i.e., plant availability factor) and variable charges are based on the actual energy generation. The energy generation targets are decide

Next-generation antennas : Advances and challenges

The first book in this exciting new series, written and edited by a group of international experts in the field, this exciting new volume covers the latest advances and challenges in the next generation of antennas. Antenna design and wireless communication has recently witnessed their fastest growth period ever in history, and these trends are likely to continue for the foreseeable future. Due to

Socioeconomic factors and outcome after repair and reconstruction of digital and major nerve trunk injuries in the upper limb

Peripheral nerve injuries in the upper limb can lead to substantial disability and pain. We aimed to assess how socioeconomic factors affect outcomes after repaired or reconstructed digital or major nerve trunk injuries in the upper limb. We identified 670 individuals, who underwent surgical nerve repair or reconstruction using sensory nerve autografts, in the Swedish National Quality Registry for

Experimental verification of a dynamic programming and IoT-based simultaneous load-sharing controller for residential homes powered with grid and onsite solar photovoltaic electricity

Quest for harnessing clean and affordable electricity has increased renewable energy installations, especially the rooftop solar photovoltaic (PV) systems in many residential homes; simultaneously, such homes are connected to the utility grid for reliable energy service, creating a hybrid power supply system (HPSS). However, the most stressful challenge with the HPSS is the confounding condition o

Axial Capacity of FRP-Reinforced Concrete Columns : Computational Intelligence-Based Prognosis for Sustainable Structures

Due to the corrosion problem in reinforced concrete structures, the use of fiber-reinforced polymer (FRP) bars may be preferred in place of traditional reinforcing steel. FRP bars are used in concrete constructions to boost the strength of structural elements and retain their longevity. In this study, the axial load carrying capacity (ALCC) of the FRP-reinforced concrete columns has been evaluated

Economic analysis of operation and maintenance costs of hydropower plants

The world is experiencing deep climate changes caused by increased population and rapid urbanization. Hydropower is one of the renewable energy sources that can be used to meet energy demands, but most of the hydropower plants suffer from silt erosion and cavitation problems. Therefore, it is important to decide which parts to be repair or replace, as it affects the Operation and Maintenance (O&am

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear inter

Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation

Hydropower is one of the most promising sources of renewable energy. However, a substantial initial investment requires for the construction of large civil structures. Feasibility study, detailed project report preparation, construction planning, and timely execution of work are the important activities of a hydropower plant. Energy generation in hydropower plants are mainly depends on discharge a

Kapacitet att bygga samhället : - om kommuners kapacitet att delta i och påverka samhällsbyggandet med lokalpolitiska förtecken

Det övergripande syftet med studien är att fördjupa förståelsen av begreppet kommunal kapacitet och dess olika aspekter. Mer specifikt beskrivs hur företrädare inom den kommunala sektorn uppfattar och hanterar upplevda utmaningar inom samhällsbyggnadsområdet. Ambitionen är att skapa en nyanserad och strukturerad bild av kommunernas kapacitet att delta i och påverka samhällsbyggandet med lokalpolitThe overall purpose of this study is to deepen the understanding of the concept of municipal capacity and its various aspects. More specifically, the report describes how representatives within the municipal sector perceive and address perceived challenges in urban development. In doing so, the ambition is to create a nuanced and structured view of municipalities’ capacity to participate in and in