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The main topic of this volume of the "Journal of Biomimetics, Biomaterials and Biomedical Engineering" is a special textile application in biomedical practice for wound and pressure ulcer prevention and in sport for trauma defence, procuring thermal comfort and monitoring of physical parameters during the training. In this issue, readers also can find research results on the influence of bioactive and bio-inert ceramic powders on tribology properties of polymer matrix composite dentures.
The 45th volume of the "Journal of Biomimetics, Biomaterials and Biomedical Engineering" presents the latest research results in the field of biomechanics and design of foot pressure sensors, and biomimetic foot analyzes, biomechanical analysis of the influence of different surfaces on long-distance running. Also, there is data about biocomposite with glycerol as the dura mater and the study on a novel method to extract hydroxyapatite from the bovine bone without producing hazardous residue. It depicts developing an AI-based computer-aided diagnosis tool using a chest X-ray. This volume will be interesting for researchers in sport science, prothesis and biomaterials.
This volume of the periodical includes papers which describe: - improvement of analysis and measurement methods that are used in the biomedical practice - development and utilization of modern biomaterials and various techniques of diagnosis, therapy and treatment in medicine. We hope that this issue of our journal will be useful for researchers and engineers developing different branches of applied science related to biomedical engineering.
This volume of the "Journal of Biomimetics, Biomaterials and Biomedical Engineering" covers topical issue of biomimetic approach to the development of modern means of a wide range of industrial applications, the new solutions in the field of biomedical engineering and of pharmacological practice and also illuminates the results of the latest solutions in the field of development of biomaterials and their application.
This volume of the "Journal of Biomimetics, Biomaterials and Biomedical Engineering" covers topical issue of biomimetic approach to the development of modern means of a wide range of industrial applications, the new solutions in the field of biomedical engineering and of pharmacological practice and also illuminates the results of the latest solutions in the field of development of biomaterials and their application.
This volume of the "Journal of Biomimetics, Biomaterials and Biomedical Engineering" covers topical issue of biomimetic approach to the development of modern means of a wide range of industrial applications, the new solutions in the field of biomedical engineering and of pharmacological practice and also illuminates the results of the latest solutions in the field of development of biomaterials and their application.
This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, developing a vehicle over speed detection system, creating an intelligent system for video-based proximity analysis, building a melanoma cancer detection system using deep learning, plant diseases classification using AlexNet, dealing with hyperspectral images using deep learning, chest x-ray image classification of pneumonia disease using efficient net and inceptionv3. The book also addresses the difficulty of implementing deep learning in terms of computation time and the complexity of reasoning and modelling different types of data where information is currently encoded. Each chapter has the application of various new or existing deep learning models such as Deep Neural Network (DNN) and Deep Convolutional Neural Networks (DCNN). The detailed utilization of deep learning packages that are available in MATLAB, Python and R programming environments have also been discussed, therefore, the readers will get to know about the practical implementation of deep learning as well. The content of this book is presented in a simple and lucid style for professionals, nonprofessionals, scientists, and students interested in the research area of deep learning applications in image analysis.
A review of the current state of the art of biomimetics, this book documents key biological solutions that provide a model for innovations in engineering and science. Leading experts explore a wide range of topics, including artificial senses and organs; mimicry at the cell-materials interface; modeling of plant cell wall architecture; biomimetic composites; artificial muscles; biomimetic optics; and the mimicking of birds, insects, and marine biology. The book also discusses applications of biomimetics in manufacturing, products, medicine, and robotics; biologically inspired design as a tool for interdisciplinary education; and the biomimetic process in artistic creation.
In recent years, numerous scientific investigations have studied the anatomical, biomechanical and functional role of structures involved in the human knee joint. The Finite Element Method (FEM) has been seen as an interesting tool to study and simulate biosystems. It has been extensively used to analyse the knee joint and various types of knee diseases and rehabilitation procedures such as the High Tibial Osteotomy (HTO). This work presents a review on FEM analysis of the human knee joint and HTO knee surgery, and discusses how adequate this computational tool is for this type of biomedical applications. Hence, various studies addressing the knee joint based on Finite Element Analysis (FEA) are reviewed, and an overview of clinical and biomechanical studies on the optimization of the correction angle of the postoperative knee surgery is provided.
Emotional intelligence has emerged as an important area of research in the artificial intelligence field as it covers a wide range of real-life domains. Though machines may never need all the emotional skills that people need, there is evidence to suggest that machines require at least some of these skills to appear intelligent when interacting with people. To understand how deep learning-based emotional intelligence can be applied and utilized across industries, further study on its opportunities and future directions is required. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence and examines their use towards attaining emotional intelligence acceleration and augmentation. It provides research on tools used to simplify and streamline the formation of deep learning for system architects and designers. Covering topics such as data analytics, deep learning, knowledge management, and virtual emotional intelligence, this reference work is ideal for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.