Описание: This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.
Описание: This book constitutes the refereed proceedings of the 17th China Conference on Machine Translation, CCMT 2020, held in Xining, China, in October 2021.
Описание: This book constitutes the refereed proceedings of the 15th China Conference on Wireless Sensor Networks, CWSN 2021 held in Guilin, China, in October 2021.The 19 papers were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on theory and technology on wireless sensor network;
Описание: This book constitutes selected and revised papers presented at the First International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021, held in Braganca, Portugal, in July 2021. The 39 full papers and 13 short papers were thoroughly reviewed and selected from 134 submissions.
Описание: This book constitutes the refereed proceedings of the 12th International Conference on Optimization and Applications, OPTIMA 2021, held in Petrovac, Montenegro, in September - October 2021. The 19 revised full papers presented were carefully reviewed and selected from 38 submissions. optimization in data analysis;
Описание: This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022. The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.
Описание: This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020.
Описание: The papers focus on advancedresearch developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning.
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
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
