Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition, etc., as a means of identity management have become commonplace nowadays for various applications. Biometric systems follow a typical pipeline, that is composed of separate preprocessing, feature extraction and classification. Deep learning as a data-driven representation learning approach has been shown to be a promising alternative to conventional data-agnostic and handcrafted pre-processing and feature extraction for biometric systems. Furthermore, deep learning offers an end-to-end learning paradigm to unify preprocessing, feature extraction, and recognition, based solely on biometric data. This Special Issue has collected 12 high-quality, state-of-the-art research papers that deal with challenging issues in advanced biometric systems based on deep learning. The 12 papers can be divided into 4 categories according to biometric modality; namely, face biometrics, medical electronic signals (EEG and ECG), voice print, and others.
Current understandings of ageing and diversity are impoverished in three main ways. Firstly, with regards to thinking about what inequalities operate in later life there has been an excessive preoccupation with economic resources. On the other hand, less attention has been paid to cultural norms and values, other resources, wider social processes, political participation and community engagement. Secondly, in terms of thinking about the ‘who’ of inequality, this has so far been limited to a very narrow range of minority populations. Finally, when considering the ‘how’ of inequality, social gerontology’s theoretical analyses remain under-developed. The overall effect of these issues is that social gerontology remains deeply embedded in normative assumptions which serve to exclude a wide range of older people. This book aims to challenge and provoke the above described normativity and offer an alternative approach which highlights the heterogeneity and diversity of ageing.This book is made open access as part of the Knowledge Unlatched KU Select 2016 Front List Collection
The Global Canthaxanthin Market Research Report Forecast is a valuable source of insightful data for business strategists. It provides the industry overview with trend analysis, historical, futuristic data, revenue, demand and strategic development.
The aim of the book is to present contributions in theory, policy and practice to the science and policy of sustainable intensification by means of technological and institutional innovations in agriculture. The research insights re from Sub-Saharan Africa and South Asia. The purpose of this book is to be a reference for students, scholars and practitioners inthe field of science and policy for understanding and identifying agricultural productivity growth potentials in marginalized areas.
Sometimes, life feels strange for no clear reason. You may feel tired, unlucky, or weighed down by stress that doesn’t seem to belong to you. It can feel like something dark is disturbing your peace and balance, making each day heavier than the last.
Welcome to Microdeft, the perfection of digital innovation and software solutions, established in 2015 and based in Bangladesh’s vibrant nexus of technology. As a startup-centered software development company, we are committed to elevating technology and redefining boundaries. At Microdeft, we blend creative minds, innovative strategies, and technical proficiency to provide unparalleled solutions that power modern enterprises. Our prime objective is to assist startups and organizations in trans
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