http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Swarm optimization for biomedical applications
"Biomedical engineering (BME) research has been a rapidly growing interdisciplinary research area that provides reasonable solutions to biological and medical problems to improve the healthcare system in recent years. It is connected with various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancement of machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering applications to develop intelligent decision-making healthcare systems in real-time. However, improved accuracy and reliability in model performance can be a significant concern in tackling various types of data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has recently shown its potential ability to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, our book proposal aims to provide the utility of swarm optimization to design ML/DL models to improve the solutions related to biomedical engineering"--
Preface IntroductionA Swarm Intelligence Optimization for Lung Cancer Detection from RNA-Seq Gene Expression Data Using Convolutional Neural Networks J. Refonaa, S.L. Jany Shabu, Saurav Mallik, S. Dhamodaran, N. Anusha and Mingqiang WangA Comprehensive Review on Optimization Algorithms and Applications for Medical Imaging Data Abhik Sarkar, Md. Yeasin, Dipro Sinha and Nhat Truong PhamA Comprehensive Analysis of Auto Carrier Loading and Cargo Space Optimization for a Specific Type of Container Using GA Kislay Kumar Verma and Babul P. TewariClassification of Heart Disease by Using Particle Swarm Optimization for Hyperparameter Tuning of Machine Learning Models Raagavendran Sundar, Prithiv P., Sarvesh V., Arjun V., Navadeep K.M. and Ashokkumar P.Mathematical Model for Swarm Optimization in Multimodal Biomedical Images M. Thangamani, S. Satheesh, Rajasekhar Lingisetty, Sukumar Rajendran and Basu Dev ShivahareSwarm Intelligence in Lung Cancer Detection and IoT-Enabled Data Transmission: A Technological Approach M. Priyadharshini, V. Murugesh, Ramagiri Praveen Kumar and Kumara Swamy ChunchuRadiant Insights: Unveiling the Future of Cancer Diagnosis through DOTA-NOC and PET-CT Algorithmic Synergy Mandadi Sriya Reddy, Kalyan Chatterjee, Samala Suraj Kumar, Tummala Abhinav Vardhan Reddy, Kumara Swamy Chunchu and Avula SachinSwarm-Optimized Pancreatic Precision: Comprehensive Early Detection through Endoscopic Ultrasound Data Analysis Samala Suraj Kumar, Kalyan Chatterjee, S. Ramchandra Reddy, Tummala Abhinav Vardhan Reddy, Mandadi Sriya Reddy and Avula SachinAn Overview of Optimization Techniques for Pre-processing of RNA-seq Data Subham Ghosh, Dipro Sinha, Md Yeasin, Parinita Das, Saurav Mallik and Guimin QinImproved GA based Clustering with a New Selection Method for Categorical Dental DataAbha Sharma, Pushpendra Kumar, Denny Ben, Meet Bikhani and Rabia Musheer AzizDeepExuDetectNet: Diabetic Retinopathy Diagnosis: Blood Vessel Segmentation and Exudates Disease Detection in Fundus ImagesS.L. Jany Shabu, Saurav Mallik, Kanipriya M., S. Nagarajan, Gayathri S and R.S. AmshavalliAnalysis of Human Emotions with Bio-signals (EEG) using Deep CNN Rajeswari Rajesh Immanuel, S.K.B. Sangeetha, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Saurav Mallik and Timothy WangSupervised GAN (SGAN): Method and Application on Labelled Genomic/Epigenomic Data Dipankar Mandal, Md. Yeasin, Abhik Sarkar, Saurav Mallik and Namrata TomarA Lightweight Attention-based Convolutional Neural Network for Classification of 3D Biomedical Images Rajat Rajoria, Sanghita Gharami, Arindam Halder, Pawan Kumar Singh and Zong Woo GeemPredictive Security Architecture for Securing Medical Images in Cloud Based IoT Sangeetha S.K.B, Sandeep Kumar Mathivanan, Deeba K, Hariharan Rajadurai and Saurav MallikIndex
Includes bibliographical references and index.
COMPUTERS / Computer Graphics / Image Processing (see also PHOTOGRAPHY / Techniques / Digital)