Digital Transformation and Global Society: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23-25, 2021, Revised Selected Papers, Alexandrov Daniel A., Boukhanovsky Alexander V., Chugunov Andrei V.
Описание: This volume constitutes refereed proceedings of the 5th International Conference on Digital Transformation and Global Society, DTGS 2020, held in St. Petersburg, Russia, in June 2020. The 30 revised full papers and 6 short papers presented in the volume were carefully reviewed and selected from 108 submissions.
Описание: This book constitutes the revised and extended papers of the First International Conference on Innovations in Digital Economy, SPBU IDE 2019, held in St. Petersburg, Russia, in October 2019. The 8 papers presented were thoroughly reviewed and selected for publication from 78 submissions.
Описание: model-driven and domain-specific engineering, human factors and social aspects of software engineering, cooperative, distributed, and global software engineering, component-based software engineering, software metrics, and software engineering for green and sustainable technologies.
Описание: Learn how to make meals that are out of this world with this indispensable guide to the food of the stars! Perfect for every fan, this updated edition of The Star Trek Cookbook from the New York Times bestselling author comes with brand-new and delicious recipes, tantalizing visuals, and easy-to-follow instructions and advice to make the best foods from the future.
Описание: This book constitutes refereed proceedings of the 15th International Conference on Parallel Computational Technologies, PCT 2021, held in March-April 2021. Due to the COVID-19 pandemic the conference was held online. The 22 revised full papers presented were carefully reviewed and selected from 89 submissions.
Описание: This book constitutes the revised post-conference proceedings of the 18th European Conference on Multi-Agent Systems, EUMAS 2021. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems.
Описание: This book constitutes the refereed post-conference proceedings of the 6th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2021, held in Suzhou, China, in November 2021. The 41 revised papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on algorithm; vision; and robotics and application.
Описание: This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions.
Описание: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
Описание: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
Описание: This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.*The 103 full papers were carefully reviewed and selected from 781 submissions.
Описание: An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT.- Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach.- Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach.- Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images.- Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN.- Efficient Social Distancing Detection using Object Detection and Triangle Similarity.- Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME).- Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm.- A Study on Morphological Analyser for Indian Languages: A Literature Perspective.- Cyber Safety Against Social Media Abusing.- Predictive Rood Pattern Search for Efficient Video Compression.- An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers.- Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate.- Live stream processing techniques to assist unmanned, regulated railway crossings.- Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval.- Facial Monitoring Using Gradient Based Approach.- Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets.- Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall.- Automatic Tabla Stroke Source Separation Using Machine Learning.- Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach.- Machine Learning Model Interpretability in NLP and Computer Vision Applications.- Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm.- Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach.- Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network.- Performance Analysis of Channel coding techniques for 5G networks.- An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product.- A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit.- Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network.- Key-Based Decoding for Coded Modulation Schemes in the presence of ISI.- Optimizing the Performance of KNN Classifier for Human Activity Recognition.- Face Recognition with Disguise and makeup Variations Using Image Processing and Machine Learning.- Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image.- Visibility improvement in hazy conditions via a deep learning based image fusion approach.- Performance of Reinforcement Learning Simulation: x86 v/s ARM.- A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm.- Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease.- Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images.- Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning.- Biological Sequence Embedding based Classification for MERS and SARS.- Supply Path Optimization in Video Advertising Landscape.- Stack-based CNN Approach to Covid-19 Detection.- Performance Analysis of Various Classifiers for Social Intimidating Activities Detection.- Technique for Enhancing the efficiency and security of lightweight IoT
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