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This book constitutes the refereed proceedings of the 13th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2023, held in Roorkee, India, in December 2023.The 14 papers included in these proceedings were carefully reviewed and selected from 45 submissions. They focus on various aspects of security, privacy, applied cryptography, and cryptographic engineering.

Anthropomorphic prosthetic hands must resemble human hands concerning their kinematic abilities and significant features such as object recognition on grasp. Implementation of object recognition by prosthetic hands require prior information on the extrinsic structural properties of objects as well as the hand's position and orientation. Object recognition approaches are primarily of two categories: vision and tactile. Vision-based learning methods have dominated the realm of object recognition for robotic and prosthetic hands in the past decades. Relying only on vision is not sufficient for the perceptual requirements of a prosthetic hand. The human hand is a complex structure with multiple degrees of freedom (DoF), leading to various movements and grasp formations. Acquiring the full range of motion in the fingers and the wrist during prosthetic hand development is critical. Creating such dexterity involves an intense investigation to extract knowledge of motion and joint constraints in the phalanges and wrist bones. The increase of digital information in the current age has elevated the demands of semantically rich annotations for applications shared over the internet. In recent years, the popularity of philosophical knowledge representation methods like ontology to under­ stand and utilize relevant domain concepts for problem specifications has escalated. Ontologies are significant in providing a meaningful schema by linking unstructured data. Object recognition during a grasp is an essential attribute in a prosthetic hand, which takes its development closer to its natural counterpart.

This book constitutes the refereed proceedings of the 20th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17¿20, 2024. The 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). The DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.

This book constitutes the proceedings of the 6th International Conference on Dynamics of Information Systems, DIS 2023, which took place in Prague, Czech Republic, in September 2023. The 18 full papers included in the book were carefully reviewed and selected from 43 submissions. They deal with topics ranging from theoretical, algorithmic, and practical perspectives in information systems, to offering readers valuable information, theories and techniques.

This book constitutes the Revised Selected Papers of the Second International Conference, ICAETA 2023, held in Istanbul, Turkey, during March 10¿11, 2023.The 37 full papers included in this volume were carefully reviewed and selected from 139 submissions. The topics cover a range of areas related to engineering, technology, and applications. Main themes of the conference include, but are not limited to: Data Analysis, Visualization and Applications; Artificial Intelligence, Machine Learning and Computer Vision; Computer Communication and Networks; Signal Processing and Applications; Electronic Circuits, Devices, and Photonics; Power Electronics and Energy Systems.

The human eye is a sensing organ for vision. It is well-constructed to gather the information about the surrounding environment. The retina is the light-sensitive tissue located in the back of the eye. It accumulates light focused by the lens, turns it into neural impulses, and transfers these signals to the optic nerve. The optic nerve transports the signal to the brain and aids visual processing. The fundus camera supports capturing the eye's interior surface, including the retina, vasculature, Optic Nerve Head (ONH), and posterior pole. It aids in interpreting retinal characteristics and is used to screen the patients with sight-threatening retinal disorders. According to the World Health Organization (WHO), 43 million people are blind, 295 million have moderate to severe visual impairment, and 258 million have mild vision impairment. Many studies attest that Glaucoma is the prominent cause of blindness, accounting for around 3.12 million cases worldwide, and the leading cause of visual disability. The Glaucoma sufferers prediction rises to roughly 111.8 million in 2040 and 117 million in 2050 due to the constant increase in population. Glaucoma is a degenerative eye disease that affects the vision peripherally and gradually leads to blindness due to increased Intra Ocular Pressure (IOP) and changes in the retinal structure like Optic Disc (OD) and Optic Cup (OC). Early diagnosis and quick treatment for Glaucoma are critical for preserving visual function and preventing permanent vision loss. Glaucoma comprises a group of ocular neuropathies characterized by gradual loss of retinal ganglion cells, optic nerve degeneration, and vision loss. Additionally, Glaucoma patients experience a severe reduction in their visual field, which is asymptomatic until the disease progresses to an advanced stage. Clinical trials were conducted to assess the disease's progression stages, ranging from mild to advanced, using numerous risk factors and anatomic features. Diagnosis of disease necessitates a thorough examination, several tests, and access to various diagnostic modalities. This complex, subjective detection method is hampered by various challenges, including a lack of patient awareness of the disease, a lack of healthcare facilities, and a paucity of trained professionals, particularly in remote locations.

This book constitutes the proceedings of the CCF 18th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2023, which took place in Shanghai, China, during August 19¿21, 2023.The 23 full papers included in this book were carefully reviewed and selected from 169 submissions. They focus on topics such as computer graphics and CAD, 3D Printing and Computational Fabrication, 3D Vision, Bio-CAD and Nano-CAD, Computer Animation, Deep Learning for Graphics, Geometric Modeling, Geometry Processing, Rendering, Virtual Reality, Augmented Reality, Visualization, and more.

Uncover the secrets of cutting-edge research in ¿Infrared Small Target Detection,¿ a crucial resource that delves into the dynamic world of infrared imaging and detection algorithms. This comprehensive book is an indispensable gem for the research community, offering a profound introduction to the theory, methods, and algorithms underlying infrared small object detection. As an invaluable guide, this book explores diverse models and categories of infrared small object detection algorithms, providing meticulous descriptions and comparisons of their strengths and limitations. Perfectly tailored for researchers, practitioners, and students with a passion for infrared imaging and detection, this book equips readers with the necessary knowledge to embark on groundbreaking investigations in this field.Readers can particularly be drawn to the book's methods, results, and topics, encompassing diverse categories of infrared small object detection algorithms and their corresponding advantages and disadvantages. The book also imparts foundational knowledge in mathematical morphology, tensor decomposition, and deep learning, enabling readers to grasp the underlying principles of these advanced algorithms. Experience the key benefits of ¿Infrared Small Target Detection¿ as readers gain a profound understanding of theory, methods, and algorithms tailored to infrared small object detection. The comprehensive descriptions and comparisons of various algorithm categories empower readers to select the perfect algorithms for their specific applications.Unlock the potential of this groundbreaking resource with a basic understanding of mathematics, statistics, and image processing. Some familiarity with infrared imaging and detection proves advantageous in fully immersing oneself in the wealth of knowledge presented within these pages.

This book provides an in-depth study of biomedical image analysis. Itreviews and summarizes previous research work in biomedical image analysis andalso provides a brief introduction to other computation techniques, such asfuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantumoptimization algorithm, focusing on how these techniques can be integrated intodifferent phases of the biomedical image analysis. In particular, this bookdescribes novel methods resulting from the fuzzy sets, neutrosophic sets,clustering algorithm and fast forward quantum optimization algorithm. It alsodemonstrates how a new quantum-clustering based model can be successfullyapplied in the context of clustering the COVID-19 CT scans. Thanks to itseasy-to-read style and the clear explanations of the models, the book can beused as a concise yet comprehensive reference guide to biomedical imageanalysis, and will be valuable not only for graduate students, but also forresearchers and professionals working for academic, business and governmentinstitutes and medical colleges.

This book includes original, peer-reviewed research papers from the 14th China Academic Conference on Printing and Packaging (CACPP 2023), held in Beijing, China on November 24-26, 2023. The proceedings cover the latest findings in color science and technology, image processing technology, digital media technology, mechanical and electronic engineering and numerical control, materials and detection, printing and packaging technology, and so on. As such, the book is of interest to university researchers, R&D engineers and graduate students in the fields of color science, image science, materials science, computer science, digital media, network technology, smart manufacturing technology and printing and packaging.

This book constitutes the refereed proceedings of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27¿29, 2023. The 27 full papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: healthcare information extraction; healthcare natural language processing; healthcare data mining and applications.

Printed in ColorDevelop an array of effective strategies and blueprints to approach any new data analysis on the Kaggle platform and create Notebooks with substance, style and impactLeverage the power of Generative AI with Kaggle ModelsPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaster the basics of data ingestion, cleaning, exploration, and prepare to build baseline modelsWork robustly with any type, modality, and size of data, be it tabular, text, image, video, or soundImprove the style and readability of your Notebooks, making them more impactful and compellingBook DescriptionDeveloping Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques.For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable.Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.What you will learnApproach a dataset or competition to perform data analysis via a notebookLearn data ingestion and address issues arising with the ingested dataStructure your code using reusable componentsAnalyze in depth both small and large datasets of various typesDistinguish yourself from the crowd with the content of your analysisEnhance your notebook style with a color scheme and other visual effectsCaptivate your audience with data and compelling storytelling techniquesWho this book is forThis book is suitable for a wide audience with a keen interest in data science and machine learning, looking to use Kaggle Notebooks to improve their skills and rise in the Kaggle Notebooks ranks. This book caters to:Beginners on Kaggle from any backgroundSeasoned contributors who want to build various skills like ingestion, preparation, exploration, and visualizationExpert contributors who want to learn from the Grandmasters to rise into the upper Kaggle rankingsProfessionals who already use Kaggle for learning and competingTable of ContentsIntroducing Kaggle and Its Basic FunctionsGetting Ready for Your Kaggle EnvironmentStarting Our Travel - Surviving the Titanic DisasterTake a Break and Have a Beer or Coffee in LondonGet Back to Work and Optimize Microloans for Developing CountriesCan You Predict Bee Subspecies?Text Analysis Is All You NeedAnalyzing Acoustic Signals to Predict the Next Simulated EarthquakeCan You Find Out Which Movie Is a Deepfake?Unleash the Power of Generative AI with Kaggle ModelsClosing Our Journey: How to Stay Relevant and on Top

Computers with their inherent ability to store large amount of information have found vast applications in the field of banking, e-commerce, agriculture science, decision support systems, expert systems, image processing etc. In science and Engineering there is a vast scope of applications in Digital image processing in the years to come. There is every possibility of developing a final machine-like human beings where image processing plays an important role. Satellites of remote sensing through spacecrafts, store of images for the purpose of business in banks, processing of images in medicals, manmade machines, acoustic, sonar, radar are some of the list of applications where "Digital Image Processing" DIP is anchored. In predicting the environment, in searching the resources which are inside the earth, geographical drawings, crop predictions, growth of population, forecasting the weather, etc are carried out by images. "Mars Orbit Mission" MOM, Images are taken in the deep space, in television broadcasting, audio conferencing, video conferencing, duplicating the documents in case of office automation, security systems in banks, wireless military communication are some of the application of images in space. There are such large areas of application where image processing plays a vital role. In medical applications, X-rays of chest are processed, Cineangio grams, transaxial tomography projection of images, and other images obtained from medical fields that occur in ultrasonic scanning, , nuclear, radiology, magnetic resonance respectively are being carried out. The screening and monitoring of these diseases in patients are done and also detection of trauma is also carried out. Various systems in defense recognizes their targets by using Radar and sonar. There is large listing of applications such as vision of the robot in automation industry, creating a cartoon and in industries of textiles for fashion. The term "Digital Image processing" (DIP) is processing a 2D image in a digital computer. A large and finite number of bits arranged in a particular order in real or complex scenario are called a digital image. An algorithmic and mathematical tool employed in digital image manipulation is called "Digital Image processing" (DIP).The process of identifying the bulk grain depending upon their type is called classification and the presence or absence of foreign body is detected are classified as impure or pure. Classification of bulk grain and detection of foreign body in it is the major challenge. This is done by building a appropriate neural network prototype for the classification and recognition of the images of grains with different features with respect to their types and based on foreign body in terms of pure/impure using the feature sets of three alternate sets of shades, appearance, combination of both shades and appearance respectively and detecting of foreign body and type of impure sample. Digital camera is used to get the images samples of different grains, and image processing techniques are used in separation of features such as color and texture. A classifier is used based on BPNN for the purpose of training. The purity and impurity of the grains is trailed by using the network thus developed. A technique of segmentation and thresholding is used for the impure images to identify the foreign body and category.

The fast-paced technological developments have rendered the role of digital images very common in the present scenario. Not only the technology is used to savour and store our memories of events, gatherings, news and other memorable moments, but also used digital images and digital media as a proof of crime, accident, and other such events for justice and legal actions. This comes from the most fundamental concept of "we trust what we see". However, this fact is also abused in terms of photo forgeries. With digital computers and image-editing software, it's simpler to change digital images. This includes fabricated digital photos that are presented as evidence in court or are used to recreate a crime scene. Authenticating such evidence is crucial in such situations in order to fairly resolve the case. For example, according to Wall Street Journal, approximately 10% photographs published in the USA are digitally reformed. Even original scientific reports are also been altered to modify the original data. Sometimes forgeries may not be detected by using conventional image verification methods, such as, naked eyes, histogram, comparison of pixel values etc.. Hence, there is a requirement of a more reliable tool to identify a forgery more accurately. These tools are usually based on physical and mechanical properties of digital images and sensors, respectively, to detect any abnormality in an image. Furthermore, image manipulation tools evolve with latest technical developments, and hence, these forgery detection methods require to be more robust and more reliable. Although digital image forgery detection and security of the information in a digital image (steganography) may look like the same process, however the two are different in nature. While the first one deals with identification of image manipulation without knowing any changes in base images, whereas the second one requires hiding information in base images to identify any changes happening to the images later on.

This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.

The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 ¿ 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.

The Role of Visual Identity in Personal and Professional SuccessVisual identity plays a significant role in both personal and professional success. In a world filled with constant stimuli and information overload, it has become crucial to establish a recognizable image that sets you apart from the crowd. Whether you are an individual looking to make a lasting impression or a professional aiming to enhance your career prospects, harnessing the power of visual identity can make all the difference.Creating a recognizable image holds immense power. It allows you to showcase your unique personality, values, and strengths, making it easier for others to remember and identify you. Think about some of the most successful individuals or brands you admire - they all have a distinct visual identity that sets them apart. By developing your own visual identity, you can leave a lasting impression on people's minds, which can open doors to new opportunities and forge meaningful connections.In the professional realm, a strong visual identity can significantly boost your career prospects. It helps you stand out in a competitive job market, making it easier for potential employers to remember and consider you for opportunities. A carefully crafted visual identity can communicate professionalism, creativity, and attention to detail, all of which are highly valued in the workplace. Additionally, a recognizable image can also improve your personal brand, positioning you as an expert in your field and attracting clients or collaborators who resonate with your visual identity.On a personal level, visual identity can enhance self-confidence, allowing you to express your true self and project an image that aligns with your values and aspirations. It enables you to establish a strong personal brand that reflects who you are and what you stand for. Moreover, a well-defined visual identity can help you navigate social situations with ease, as it gives others an immediate sense of your personality and interests.

This book constitutes the refereed proceedings of the 8th International Symposium on Artificial Intelligence and Robotics, ISAIR 2023, held in Beijing, China, during October 21¿23, 2023. The 50 full papers included in this book were carefully reviewed and selected from 103 submissions. They focus on three important areas of Pattern Recognition: Artificial Intelligence; Robotics and Internet of Things, Covering Various Technical Aspects.

This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision.Previous research of motion analysis has generally not yet considered the basic nature of higher orders of motion such as acceleration. Hence, this book introduces an approximation of the acceleration field using established optical flow techniques. Further, acceleration is decomposed into radial and tangential based on geometry and propagated as a general motion descriptor; this book shows the capability for differentiating different types of motion both on synthesized data and real image sequences.Beyond acceleration, the higher orders of motion flow and their continuant parts are investigated for further revealing the chaotic motion fields. Naturally, it is possible to extend this notion further: to detect higher orders of image motion. In this respect, this book shows how jerk and snap can be obtained from image sequences. The derived results on test images and heel strike detection in gait analysis illustrate the ability of higher-order motion, which provide the basis for the following research and applications in the future.We hope that the publication of this book will bring a new perspective to researchers and graduate students in the field of video analysis in computer vision.

This book constitutes the revised selected papers of the First International Conference, AIBTR 2023, held in Nagpur, India, during September 23, 2023.The 6 full papers included in this volume were carefully reviewed and selected from 37 submissions. The papers contained in this book discuss the application of Artificial Intelligence in Biomedical Engineering for the Health Care industry.

This book constitutes the proceedings of the 27th Annual Conference on Medical Image Understanding and Analysis, MIUA 2023, which took place in Aberdeen, UK, during July 19¿21, 2023.The 24 full papers presented in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Image interpretation; radiomics, predictive models and quantitative imaging; image classification; and biomarker detection.

This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops.The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)

This book constitutes peer-reviewed proceedings of satellite workshops of the 12th Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP 2021). The book focuses on medical image processing, digital heritage, document analysis and recognition, and computer vision applications. The first part includes submissions on digital archiving and restoration methods with interesting and innovative research components. The second part focuses on medical imaging modalities including MRI, X-ray, CT, imaging in nuclear medicine, medical ultrasound, optical and confocal microscopy, and video and range data images. The third part deals with document analysis and recognition and focuses on text recognition, document layout analysis, understanding, historical and degraded document analysis, datasets, performance evaluation, metrics, etc. The fourth part of this book includes research work from academia and industry across the globe on smart, innovative, and practical applications of computer vision for industrial and societal impact. This book shares innovative ideas, experience and expertise, and ongoing research ideas and will be helpful for researchers and practitioners in academia and industry.