Books by Keyword: Deep Learning

Description: The aim of the book based on the papers presented at the IV International Workshop Advances in Materials Science - AMS-IV 2024 (30-31 May 2024, Bukhara, Uzbekistan) was to encompass an examination of key themes in the latest materials science, integrating both theoretical frameworks and practical applications. The book highlights the mechanical properties of various materials, such as protective coatings and tool steels, emphasizing their behaviour under different processing techniques. It also explores advanced processing techniques, showcasing innovative manufacturing methods like direct metal deposition and CNC machining optimization. The application of nanotechnology is addressed, particularly regarding the influence of nanoparticles on wear resistance and mechanical properties. Furthermore, the integration of machine learning applications is discussed, focusing on how neural networks and deep learning can optimize material compositions and detect surface defects. Finally, the book investigates corrosion and wear resistance, tackling real-world challenges related to material durability in industrial settings. Overall, the edition aims to bridge the gap between theoretical research and industrial application, advancing knowledge in materials science.

Description: This edition collects the selected peer-reviewed full-text papers from the International Conference on Industrial Sciences, Engineering and Technology toward Digital Era 2023 (eICISET 2023) held at Universitas Indo Global Mandiri, Palembang, Indonesia, on 08-09 August 2023. The eICISET2023 was a conference event attended by postgraduate students and researchers from four countries to share their research activities and exchange new knowledge based on current applied developments and achievements in engineering sciences.

Description: The journal's volume is dedicated to the latest achievements in the area of biomedical engineering such as the green synthesis of gold nanoparticles for a biomedical application, analysis of the influence of the salivary flow rate on dental caries, investigations in the area of clinical biomechanics such as modelling of mechanical performance and fractural behaviour of orthopaedic cement in total hip replacements, a dental bridge, prediction and recognition of different gait phases of walking to assist in real-time control of lower limb exoskeletons, and results of sleep apnea detection by ECG signal processing, etc. The collected articles will be helpful to many biomedical engineers and clinical researchers.

Description: This volume contains research results that were presented at the 6th International Conference on Numerical Modelling in Engineering NME 2023 (Ghent, Belgium, 29-31 August 2023). The collected articles are dedicated to the results of the development and experiences of applications of analytical and numerical methods for research in various engineering sciences, starting from models of mathematical physics and applied mathematics to model approaches in remote sensing, structural mechanics, etc. The edition will be interesting and helpful to specialists in various branches of engineering sciences.

Description: The International Conference on Industrial Sciences, Engineering and Technology toward Digital Era 2023 (eICISET2023) was successfully held offline and online on August 8-9, 2023, at UIGM, Palembang, South Sumatra, Indonesia. The conference was dedicated specifically to the advancement of industrial sciences, engineering and technology in related industries such as membrane, biotechnology, biodiversity, biocomposite, industrial chemistry, electroceramics, photonics, renewable energy, mechatronics, sensor, environment, and others. In this proceeding were included the selected articles from the eICISET2023 with a special focus on modern aspects of sustainable development in biotechnologies, robotics, machine learning, management and engineering risk assessment. This edition will be useful to a wide range of specialists engaged in the relevant fields of science or industry.

Description: The volume accommodates articles that described the last research results in biomaterials for various applications including drug delivery for cancer treatment, analysis of the effect of curcumin on blood glucose patients with diabetes, antibacterial properties of some plant extracts etc. Here are also presented research results related to brain-computer Interface, classification of lung sound abnormalities and the computational studies of a predictive mathematical model for transdermal and non-invasive diagnosis using biodegradable and hollow microneedle patches.

Description: This edition collects the selected peer-reviewed full text papers from the International Research Conference on IoT, Cloud and Data Science (IRCICD'22), held on May 06-07, 2022, in Chennai, India. One of the most significant characteristics of the evolving digital age is the convergence of technologies that includes sensors (Internet of Things: IoT), data storage (cloud), information management (databases), data collection (big data), data applications (analytics), knowledge discovery (data science), algorithms (machine learning), transparency (open data) and API services (micro services, containerization). The Research Conference on IoT, Cloud and Data Science - IRCICD'22 aimed at bringing together researchers from the industry, academicians and business delegates, scholars and graduate students to exchange and share their experiences, new ideas, and research results across aspects of IoT, Cloud and Data Sciences. The conference focused on promoting recent advances and innovation in the field of IoT, Cloud and Data Science.

Description:

This special issue of the "Journal of Biomimetics, Biomaterials and Biomedical Engineering" highlights actual topics in biomedical engineering and health informatics. The themes were chosen because of the current revolutionary growth and development in electronics, communication, methods of signal and image processing, and biomedicine in general. This volume will be attractive for many researchers in biomedical engineering and become a beneficial source in future research.

Description: This volume of the "Advanced Materials Research" journal contains papers reflecting research results in developing new materials and investigating their properties. The main covered topics comprise determining the suitability of natural fibers in reinforcing concrete, development of a sustainable cement product from solid waste, composite polymer counter electrodes, an effective anti-microbial coating, and new material for effective treatment of wastewater. It presents the results of a study on the prediction of the piezoelectric composites’ effective properties and the findings of the experimental investigation of sills’ effect on the hydraulic jump configurations evolving in a symmetrical trapezoidal channel. Furthermore, the articles demonstrate a novel method to classify surface defects on silicon wafers, an unconventional approach to the concrete evaluation study, and a new method to analyze the material flow and defect detection. The papers collected in this volume will be helpful for professionals in various engineering fields, students and academic staff.

Description: The 54th volume of the "Journal of Biomimetics, Biomaterials, and Biomedical Engineering" highlights broad topics on biomedical engineering, specifically: medical images processing, model analysis of mechanical stress distribution in bone during dental implantation, properties and application conditions of various biomaterials in orthopedic and pharmacology.