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This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.

• Introduction to Swarm Search.- Cooperative "Swarm Cleaning" of Stationary Domains.- Swarm Search of Expanding Regions in Grids: Lower Bounds.- Swarm Search of Expanding Regions in Grids: Upper Bounds.- The Search Complexity of Collaborative Swarms Expanding Z2 Grid Regions.
• (source: Nielsen Book Data)

This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined "search regions". It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems' various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones' flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones. .
(source: Nielsen Book Data)

• Part I. Discrete Shape Analysis. Modeling Three-Dimensional Morse and Morse-Smale Complexes / Lidija Čomić, Leila De Floriani, Federico Iuricich
• Geodesic Regression and Its Application to Shape Analysis / P. Thomas Fletcher
• Segmentation and Skeletonization on Arbitrary Graphs Using Multiscale Morphology and Active Contours / Petros Maragos, Kimon Drakopoulos
• Refined Homotopic Thinning Algorithms and Quality Measures for Skeletonisation Methods / Pascal Peter, Michael Breuß
• Nested Sphere Statistics of Skeletal Models / Stephen M. Pizer [and others]
• 3D Curve Skeleton Computation and Use for Discrete Shape Analysis / Gabriella Sanniti di Baja, Luca Serino, Carlo Arcelli
• Orientation and Anisotropy of Multi-component Shapes / Joviša Žunić, Paul L. Rosin.

• Part II. Partial Differential Equations for Shape Analysis. Stable Semi-local Features for Non-rigid Shapes / Roee Litman, Alexander M. Bronstein, Michael M. Bronstein
• A Brief Survey on Semi-Lagrangian Schemes for Image Processing / Elisabetta Carlini, Maurizio Falcone, Adriano Festa
• Shape Reconstruction of Symmetric Surfaces Using Photometric Stereo / Roberto Mecca, Silvia Tozza
• Remeshing by Curvature Driven Diffusion / Serena Morigi, Marco Rucci
• Group-Valued Regularization for Motion Segmentation of Articulated Shapes / Guy Rosman [and others]
• Point Cloud Segmentation and Denoising via Constrained Nonlinear Least Squares Normal Estimates / Edward Castillo, Jian Liang, Hongkai Zhao
• Distance Images and the Enclosure Field: Applications in Intermediate-Level Computer and Biological Vision / Steven W. Zucker.

• Part III. Optimization Methods for Shape Analysis. Non-rigid Shape Correspondence Using Pointwise Surface Descriptors and Metric Structures / Anastasia Dubrovina, Dan Raviv, Ron Kimmel
• A Review of Geometry Recovery from a Single Image Focusing on Curved Object Reconstruction / Martin R. Oswald [and others]
• On Globally Optimal Local Modeling: From Moving Least Squares to Over-parametrization / Shachar Shem-Tov [and others]
• Incremental Level Set Tracking / Shay Dekel, Nir Sochen, Shai Avidan
• Simultaneous Convex Optimization of Regions and Region Parameters in Image Segmentation Models / Egil Bae, Jing Yuan, Xue-Cheng Tai
• Fluctuating Distance Fields, Parts, Three-Partite Skeletons / Sibel Tari
• Integrated DEM Construction and Calibration of Hyperspectral Imagery: A Remote Sensing Perspective / Christian Wöhler, Arne Grumpe.

The concept of 'shape' is at the heart of image processing and computer vision, yet researchers still have some way to go to replicate the human brain's ability to extrapolate meaning from the most basic of outlines. This volume reflects the advances of the last decade, which have also opened up tough new challenges in image processing. Today's applications require flexible models as well as efficient, mathematically justified algorithms that allow data processing within an acceptable timeframe. Examining important topics in continuous-scale and discrete modeling, as well as in modern algorithms, the book is the product of a key seminar focused on innovations in the field. It is a thorough introduction to the latest technology, especially given the tutorial style of a number of chapters. It also succeeds in identifying promising avenues for future research. The topics covered include mathematical morphology, skeletonization, statistical shape modeling, continuous-scale shape models such as partial differential equations and the theory of discrete shape descriptors. Some authors highlight new areas of enquiry such as partite skeletons, multi-component shapes, deformable shape models, and the use of distance fields. Combining the latest theoretical analysis with cutting-edge applications, this book will attract both academics and engineers.
(source: Nielsen Book Data)

• A Smart System to Classify Walking and Sitting Activity based on EEG Signal
• Monitoring urban water-logging using SAR - A Mumbai case study
• Suspicious Event Detection of Cargo Vessels based on AIS Data
• Identifying Trends using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream
• Graphology based behavior prediction : Case study analysis
• Statistics Driven Suspicious Event Detection of Fishing Vessels based on AIS Data
• Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides
• Prakruti Nishchitikaran of Human Body using Supervised Machine Learning Approach
• X-ABI: Towards Parameter Efficient Multilingual Adapter Based Inference for Cross-Lingual Transfer
• Comparative Study of Depth Estimation from 2-D Scene Using Deep Learning Model
• DCNN-based Transfer Learning approaches for Gender Recognition
• Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning
• Real-time learning towards assets allocation
• Named Entity Recognition over Dialogue Dataset using Pre-trained Transformers
• A Comparative Study of Distance-based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis
• Economical Solution to Automatic Evaluation of an OMR Sheet Using Image Processing
• Defense and evaluation against covert channel based attacks in Android smartphones
• From Bricks to Clicks: The Potential of Big Data Analytics for Revolutionizing the Information Landscape in Higher Education Sector
• Data science approaches to public health: case studies using routine health data from India
• Arboviral Epidemic Disease Forecasting - A Survey on Diagnostics and Outbreak Models
• Convolution Neural Network for Weed Detection
• Machine Learning Model for Brain Stock Prediction
• Analysis of Covid-19 Genome using Continuous Wavelet Transform.

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. The volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20-22 January, 2023 in Pune, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

• Verification, Validation and Evaluation of Medicinal Prescription System Creation of Knowledge Graph for Client complaint Management System Automation of Bid Proposal Preparation through AI Smart Assistant A Review on Application of Machine Learning and Deep Learning Algorithms in Head and Neck Cancer Prediction and Prognosis Multi-Index Validation Mechanisms for the Land Cover Classification of Multispectral Images: A Case-Study of Kabini Reservoir Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization Performance Evaluation of Classification Models for HIV/AIDS Dataset Impact of clustering algorithms in catastrophe management: a task-technology appropriate perspective Real-Time Soybean Crop Insect Classification using Customized Deep Learning Models Writer-independent Offline Signature Verification using Deep Siamese Neural Network.
• (source: Nielsen Book Data)

This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15-17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
(source: Nielsen Book Data)

• Simulation of Lotka-Volterra Equations using Differentiable Programming in Julia.- Feature Selection Strategy for Multi Residents Behavior Analysis in Smart Home Environment.- A Comparative Study on Self-learning Techniques for Securing Digital Devices.- An intelligent, Geo-Replication, Energy Efficient BAN Routing Algorithm under Framework of Machine Learning and Cloud Computing.- New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker.- Analysis of Road Accidents in India and Prediction of Accident Severity.- Mining Opinion Features & Sentiment Analysis with Synonymy Aspects.- Understanding Employee Attrition Using Machine Learning Techniques.
• (source: Nielsen Book Data)

This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15-17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
(source: Nielsen Book Data)

• Part I: Machine Learning.- Recognizing similar relationships within ontology to fine tune Ontology.- Object Detection using Peak, Balanced Division Point and Shape based Features.- End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence.- Automated Structured Data Extraction from Scanned Document Images.- Effective Sentiment Analysis of Bengali Corpus by using the Machine Learning approach.- Review on Android Malware Detection System.- Hypothesis Testing of Tweet Text using NLP.- Forecasting Severe Thunderstorm by applying SVM Technique on Cloud imageries.- Breast Cancer Prediction using MachineLearning Techniques.- Ontology-Driven Scientific Literature Classification using Clustering and Self-Supervised Learning.- Modeling and forecasting Tuberculosis cases using machine learning and deep learning approaches: A Comparative Study.- Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals.- Support Vector Machines and Random Forest Classification models for identification of Stability in Extrusion Film Casting Process.- Predicting CO2 emissions by Vehicles using Machine Learning.- Augmented Feature Generation using Maximum Mutual Information Minimum Correlation.- Impact of Energy Sector on Climate Change in India using Forecasting Models.- Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Review.- Thematic Classification Based On Topological Traits.- Machine Learning based Earthquake Early Warning (EEW) System: A case study of Himalayan Region.- Topic Modelling Based Semantic Search.- Machine Learning based Automated Process for Predicting the Anomaly in AIS Data.- A Hybrid Machine Learning Model for Estimation of Obesity Levels.- Part II: AI & Deep Learning.- Regulations 4
• .0: Digitally Transforming the Regulatory Space.- Speech To Text for Data Entry - Opportunities and Challenges.- A Gamification Architecture For Online Learning Platform using Neural Network.- Literature Review on Sign Language Generation.- Indoor Navigation Using Augmented Reality.- Foreign object detection on an assembly line.- Inverse Contexture Abstractive Term Frequency Model using Surf Scale Diffusive Neural Network for analysis of fake social content in public forum.- Literature Review on Machine Translation Systems for Sign Language Generation.- Depression Detection from Twitter Data using Two Level Multi-modal Feature Extraction.- COVID-19 Regulations Check: Social Distancing, People Counting and Mask Wear Check.- Urdu & Hindi Poetry Generation using Neural Networks.- Implementation of Open Domain Question Answering System.- Design and Implementation of Surround View Monitoring System in View of Autonomous Vehicle.- Generation of Indian Sign Language Animation from Audio and Video Content using Natural Language Processing.- Histogram Based Initial Centroids Selection for K-Means Clustering.- Siamese Network-based system for criminal identification.- Track-III: Data Storage Management & Innovation.- Organization Network Analysis for study of employee techno-social connects and effect of human behavior and organizational culture on the underlying network.- Track IV: Enabling Technologies & Applications.- Sky Computing Smart Locality Aware approach for Health Analytics.- Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks.- Enhancing the Performance of Multiple Wi-Fi Network.- ARCaddy: Augmented Reality App Suite for Aircraft Maintenance.- Meditation Therapy for Stress Management Using Brainwave Computing and Real Time Virtual Reality Feedback.- Real Time Carbon Emissions Calculator for Personal Computers.- Track-V: Data Science Techniques for handling Pandemic.- Navigation System for Visually Impaired People.- Design aspects of a Multi-dimensional Hybrid analytical processing system.- A data science approach to evaluate drug effectiveness: Case Study of Remdesivir for Covid-19 patients in India.- A Softcomputing Approach For Predicting And Categorising Learner's Performance Using Fuzzy Model.
• (source: Nielsen Book Data)

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14-16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
(source: Nielsen Book Data)

• Computer Graphics, Image Quality and Graphic.- User Interfaces.- Object Classification and Features.- 3D and Stereo Image Processing.- Low-level and Middle-level Image Processing.- Medical Image Analysis.- Motion Analysis and Tracking.- Security and Protection.- Pattern Recognition and New Concepts in Classification.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2018, held in Warsaw, Poland, in September 2018. The 45 full papers were selected from 117 submissions. The contributions are thematically arranged as follows: computer graphics, image quality and graphic, user interfaces, object classification and features, 3D and stereo image processing, low-level and middle-level image processing, medical image analysis, motion analysis and tracking, security and protection, pattern recognition and new concepts in classification. .
(source: Nielsen Book Data)