Chee Peng Lim (298 results)

Paperback. Condition: Good. Paperback. Pages are clean and unmarked. Covers show light edge wear. Light shelving foxing/dust-dulling on pages top edges.; 100% Satisfaction Guaranteed! Ships same or next business day!

Hardcover. Condition: Near Fine. 1st Edition. Hardcover, xi + 296 pages, NOT ex-library. Book looks unread, clean and bright throughout with unmarked text, no inscriptions, no stamps, firmly bound. Short creases to spine ends. Issued without a dust jacket. -- Rooted in the Japanese concept of Kansei, affective engineering seeks to quantify, model, and integrate human emotional responses into the design, production, and marketing of products and services. This edited volume, originating from an international symposium, compiles 22 peer-reviewed chapters organized into two core parts: methodologies and applications. It reflects a growing trend in engineering and industrial design where emotional value is considered a critical axis of product development, alongside performance, reliability, and cost. It highlights the historical evolution of this paradigm from early experiments with fuzzy logic, artificial neural networks, and psychological economics (notably Kahneman's Nobel-winning work), to current interdisciplinary methodologies involving bio-signals, cognitive models, and machine learning. Part I introduces analytical tools and techniques used to model and assess emotional responses. These include neurophysiological approaches such as brainwave analysis for environmental comfort, computer vision and machine learning to evaluate emotional responses to traditional clothing, and near-infrared spectroscopy to assess sound-related emotions in e-reading environments. Methodologies also encompass modeling human migration using conjectural variations equilibrium, designing culturally sensitive web interfaces, and establishing data-driven strategies for user-centered design; they align with advancements in artificial intelligence, pattern recognition, human-computer interaction, and systems engineering. Chapters address topics such as: creating adaptive environments using bio-signal control; estimating social emotion through micromovement sensing; integrating aesthetic and tactile stimuli in product appeal; structuring affective design through cognitive and cultural modeling. The methodological diversity illustrates how emotional data can be captured, quantified, and applied across different domains. Part II translates the methodologies into tangible industrial practices. This section includes case studies and empirical investigations across multiple sectors, illustrating how affective engineering enhances product differentiation, brand identity, and user experience. Examples include: evaluating comfort and ergonomic design in chair backrests using pressure mapping; constructing brand loyalty through affective elements in Swiss luxury watches; assessing auditory feedback in car audio systems using wavelet signal analysis; enhancing garment production workflows in Japan and Italy via emotional design criteria; understanding user adaptation in online shopping through fabric recognition skills. Applications also span cosmetics, color psychology, and olfactory effects on sleep - demonstrating how sensory-emotional correlations can be exploited to improve product development and marketing strategies. In one chapter, movie scenes are analyzed to forecast trends in human-centered design, suggesting new possibilities in predictive consumer modeling. Another investigates affective reactions to different shades of white, contributing to color-sensitive product styling in interior and industrial design. The book emphasizes the growing necessity to balance technological functionality with emotional resonance. It is particularly relevant to professionals in human-centered design, cognitive ergonomics, product development, industrial management, and intelligent systems. It also appeals to researchers in psychology, marketing science, and innovation strategy seeking practical frameworks for translating human emotion into industrial value. As digital technologies increasingly permeate everyday life, affective engineering offers a model for harmonizing user emotion with engineering precision.

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Hardback. Condition: New. 2022 ed.

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Hardcover. Condition: new. Hardcover. In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on Artificial Intelligence and Machine Learning for Healthcare. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society. In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. pp. 264.

Condition: Used. pp. xi + 296.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | Industrial Applications of Affective Engineering introduces new analytical methods such as fluctuation, fuzzy logic, fractals, and complex systems, and pursuing interdisciplinary research that traverses a wide range of fields, including information engineering, human engineering, cognitive science, psychology, and design studies. The book is split into two parts: theory and applications. The book is a collection of the best papers from ISAE2013 (International Symposium of Affective Engineering) held at Kitakyushu, Japan and Japan Kansei Engineering Meeting on March 6-8, 2013.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 440 | Sprache: Englisch | Produktart: Bücher | Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will providereaders a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 476 | Sprache: Englisch | Produktart: Bücher | This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

Hardcover. Condition: new. Hardcover. Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: Used. pp. xi + 296 170 Illus. (114 Col.).

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