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Brain-Computer Interfacing for Assistive Robotics
Brain-computer interface (BCI) technology provides a means of communication that allows individuals with severely impaired movement to communicate with assistive devices using the electroencephalogram (EEG) or other brain signals. The practicality of a BCI has been possible due to advances in multi-disciplinary areas of research related to cognitive neuroscience, brain-imaging techniques and human-computer interfaces. However, two major challenges remain in making BCI for assistive robotics practical for day-to-day use: the inherent lower bandwidth of BCI, and how to best handle the unknown embedded noise within the raw EEG. Brain-Computer Interfacing for Assistive Robotics is a result of re...
D.Pharm Exit Exam MCQs
This book is designed to help students pass the D.Pharm Exit Exam, a crucial step for Registration as Pharmacist. This Book Comprises a comprehensive review of the entire D.Pharm curriculum, and key subject areas likely include, Pharmaceutical Chemistry, Pharmaceutics, Pharmacology & Toxicology, Pharmacognosy, Biochemistry, Hospital & Clinical Pharmacy, Law AND Ethics, Community Pharmacy & Management This Book has a large pool of MCQs which will help students in passing the examination. This book has been prepared from the solved question papers of past D.Pharm exams executed by different states, so that students get valuable insights into exam format and recurring themes along with better understanding of all subjects. It will help to revise the syllabus in very less time.
Computational Intelligence for Oncology and Neurological Disorders
With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.
Advancement of Intelligent Computational Methods and Technologies
The compiled volume originates from the notable contributions presented at the 1st International Conference on Advancementof Intelligent Computational Methods and Technologies (AICMT2023), which took place in a hybrid format on June 27, 2023,at Delhi Technical Campus, Greater Noida, Uttar Pradesh, India. This comprehensive collection serves as an exploration into the dynamic domain of intelligent computational methods and technologies, offering insights into the latest and upcoming trends in computation methods. AICMT2023’s scope encompasses the evolutionary trajectory of computational methods, addressing pertinent issues in real time implementation, delving into the emergence of new intelligent technologies, exploring next-generation problem-solving methodologies, and other interconnected areas. The conference is strategically designed to spotlight current research trendswithin the field, fostering a vibrant research culture and contributing to the collective knowledge base.
Digital Technologies and Applications
This book presents volume 2 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 23). This book highlights the latest innovations in digital technologies as artificial intelligence, Internet of Things, embedded systems, network technology, digital transformation, and their applications in several areas as Industry 4.0, renewable energy, mechatronics, digital healthcare, etc. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.
Living Machines
Contemporary research in the field of robotics attempts to harness the versatility and sustainability of living organisms with the hope of rendering a renewable, adaptable, and robust class of technology that can facilitate self-repairing, social, and moral--even conscious--machines. This landmark volume surveys this flourishing area of research.
Research Symposium on Data Analytics, Machine Learning and Artificial Intelligence (DAMLAI-2024)
This proceedings of Symposium on DAMLAI–2024, jointly organized by GTU – Ahmedabad and ISI – Kolkata, includes extended abstracts of research problems under study, by the research scholars of GTU, along with the proposed solution and primary results. These problems encompass blood glucose estimation, state of human minds during the meditation, underwater wireless sensor networks, automatic analog circuit environment, image steganography, employability of the students, reward-based crowdfunding, flood hazard, prediction of lung cancer, cloud computing security and wireless networked control systems. The book also contains various use cases, new algorithms, novel solutions of real-time problems based on AI, ML and DA for supply chain management, quality management, manufacturing systems, healthcare, transportation developed by invited experts of Indian Statistical Institute, Kolkata and Indian Institute of Management, Ahmedabad. The book will be useful to the students of under graduate and post graduate who are willing to contribute in related cutting-edge technologies. It will also inspire them to explore opportunities in artificial intelligence and connected research domains.
Machine Intelligence and Signal Analysis
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.
