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2020 7th international conference on Social Network Analysis, Management and Security, SNAMS 2020

2020 7th International Conference on Social Network Analysis...

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7th international conference on Social Network Analysis, Management and Security, SNAMS 2020

ISBN: (纸本)9780738111803

the proceedings contain 41 papers. the topics discussed include: a convolutional neural network-based reviews classification method for explainable recommendations;resource efficient algorithms for message sampling in online social networks;CrowdAbout: using vehicles as sensors to improve map data for ITS;Huntalent: a candidates recommendation system for automatic recruitment via linkedIN;experimenting with latent semantic analysis and latent dirichlet allocation on automated essay grading;mining emotions on Plutchik’s wheel;sensitivity of Arabic sentiment analysis tools;and mixed methods approach: reconstructing local identities in context of local referenda.

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7th international Workshop on Autonomous Remanufacturing, IWAR 2023

7th International Workshop on Autonomous Remanufacturing, IW...

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7th international Workshop on Autonomous Remanufacturing, IWAR 2023

ISBN: (纸本)9783031526480

the proceedings contain 43 papers. the special focus in this conference is on Autonomous Remanufacturing. the topics include: Robotic Disassembly Sequence Planning and Line Balancing—Research Trends Review and Bibliometric Analysis;the Role of Simulation-Based Optimization in Remanufacturing and Reverse Logistics: A Systematic Literature Review;exploring Industry 5.0 for Remanufacturing of Lithium-Ion Batteries in Electric Vehicles;remanufacturing Decision-Making Tools: A State of the Art;consumer Acceptance and Preferences Based on Environment Knowledge to Inform Remanufacturing End-of-Life Approach for Electric Vehicle Battery: A Scoping Review Study;integration of Augmented Reality and Digital Twins in a Teleoperated Disassembly System;Game theoretic Model Based Human–Robot Collaboration in Waste MP (Multi-peripheral Imaging) Device Disassembly for Remanufacturing;human Performance in Human–Robot Interaction Contexts: Results from an Experimental Study;cognitive Digital Twin Modeling of Robotic Disassembly Process;digital Twin-Based Energy-Efficient Trajectory Optimization for Robotic Pick-and-Place Process Under Uncertain Payload;OPC UA Discovery-Driven Dynamic Reconfiguration of Robotic Manufacturing systems: Method and Deployment;exploring in the Application Slicing Technology to Determine Spatial Information to Assist and Facilitate Robotic Disassembly;image-Based Incremental Learning for Part Recognition of Used Automotive Cores in Reverse Logistics;Ensemble Learning for Estimating Remaining Useful Life: Incorporating Linear, KNN, and Gaussian Process Regression;surface Defect Recognition and Invalidation Judgment of Remanufactured Gears Based on Machine Vision;compact Convolutional Transformer for Bearing Remaining Useful Life Prediction;surface Defect Detection of Remanufactured Products by Using the Improved Yolov5;knowledge Graph-Driven Manufacturing Resources Recommendation Method for Ship Pipe Manufacturing Workshop;digital Twin-driven Dynamic Scheduli

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7th international conference on algorithms for Computational Biology, AlCoB 2020

7th International Conference on Algorithms for Computational...

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7th international conference on algorithms for Computational Biology, AlCoB 2020

ISBN: (纸本)9783030422653

the proceedings contain 15 papers. the special focus in this conference is on algorithms for Computational Biology. the topics include: Time Series Adjustment Enhancement of Hierarchical Modeling of Arabidopsis thaliana Gene Interactions;BESTox: A Convolutional Neural Network Regression Model Based on Binary-Encoded SMILES for Acute Oral Toxicity Prediction of Chemical Compounds;stratified Test Alleviates Batch Effects in Single-Cell Data;a Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data;BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance;a 3.5-Approximation Algorithm for Sorting by Intergenic Transpositions;heuristics for Reversal Distance Between Genomes with Duplicated Genes;extending Maximal Perfect Haplotype Blocks to the Realm of Pangenomics;gaps and Runs in Syntenic Alignments;Comparing Integer Linear Programming to SAT-Solving for Hard Problems in Computational and systems Biology;combining Networks Using Cherry Picking Sequences;linear Time Algorithm for Tree-Child Network Containment;PathOGiST: A Novel Method for Clustering Pathogen Isolates by Combining Multiple Genotyping Signals.

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Audio Compression Using Quantum Neural Network 1

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7th international conference on Smart Trends in computing and Communications, SmartCom 2023

作者： Aher, Rani Nandkishor Aher, Nandkishor Daulat Symbiosis Centre for Information Technology Symbiosis International University Pune India Tech Mahindra Limited Hinjawadi Phase 3 Rajiv Gandhi Infotech Park Maharashtra Pune India

ISBN: (数字)9789819908387

ISBN: (纸本)9789819908370

Data compression is a common feature of current information processing and has a broad range of uses. Audio compression is critical in database applications such as storage and transmission. the difficulty of lowering the number of bits required to represent digital audio is addressed via audio compression. It is used to reduce redundancy by reducing irrelevant and redundant data. Recent developments in deep learning have motivated researchers to investigate challenges involving highly structured data utilizing unified deep network models. Due to the necessity for discrete representations that are difficult to train, the construction and design of such models for compressing audio signals have proven difficult. the purpose of this study is to concentrate on quantum neural networks for compressing audio files. As a result, a quantum-based autoencoder capable of compressing audio data into a low-dimensional space is critical for achieving automatic audio compression, and in the decoder part, it decompresses the quantum audio signals by using deconvolution layers. Finally, the quantum representation of audio signals retrieves the original signals. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Deep learning

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Green Cloud computing: A Sustainable Energy-Efficiency Approach for Business Rapidity and the Environment 6th

Green Cloud Computing: A Sustainable Energy-Efficiency Appro...

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6th international conference on Intelligent computing and Optimization, ICO 2023

作者： Bristy, Sadia Sultana Azam, Tooba Islam, Mukta Marion Rahman, Raisur Reza, Ahmed Wasif Arefin, Mohammad Shamsul Department of Computer Science and Engineering East West University Dhaka Bangladesh Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh

ISBN: (纸本)9783031501500

Cloud computing is significantly assisting in addressing IT issues. To lessen the environmental impact, a thorough investigation of cloud computing and energy-efficient algorithms is required. A green cloud computing strategy aims to build an environment for cloud computing that is more energy-efficient, maximizes resource consumption without overprovisioning, leaves fewer carbon footprints, reduces Greenhouse Gas emissions, and minimizes E-wastages. Some features and techniques that Green Cloud computing focuses on bringing to the cloud environment include containerization, designing green data center facility infrastructure, server consolidation, virtual machine placement, designing green networks and protocols, green data management, sustainable software development, and safe disposal techniques with the three R’s (Reuse, Reduce and Recycle). this paper offers a thorough examination of green cloud computing and its traits. the main objective of this study is to investigate green cloud computing, including its various components and conversion processes, as well as to compare energy-efficient VM placement techniques for green cloud computing. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy efficiency

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7th international conference on Solid State Science and Technology, ICSSST 2019

7th International Conference on Solid State Science and Tech...

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7th international conference on Solid State Science and Technology, ICSSST 2019

ISBN: (纸本)9783035735802

the proceedings contain 78 papers. the special focus in this conference is on Solid State Science and Technology. the topics include: Assessment of magnetic properties between fe and ni doped zno nanoparticles synthesized by microwave assisted synthesis method;enhanced transport critical current density of tl-1212 bulk superconductor added with nickel-zinc ferrite nanoparticles;synthesis and characterization of low density bi-2223 cuprates superconductor doped eu2o3 nanoparticles;spheroid nickel nanoparticles synthesized in ctab solution using gamma radiation;microcrystalline cellulose as graphite exfoliation agent and its effect on electrical conductivity;synthesis and characterization of copper selenide and tin selenide powders by mechanical alloying method;synthesis of silver nanoparticles by plasma-assisted hot-filament evaporation for enhancing in luminescence properties of organic light emitting diode;the study of platinum coated carbon nanotubes as third-order nonlinear optical materials;electroresistance effect due to mo substitution at mn-site in monovalent doped la0.85ag0.15mn1-xmoxo3 (x = 0.00 and 0.05) manganites;influence of zr additive on the chemical reduction behaviour of moo3 in carbon monoxide atmosphere;nanocellulose-based filters as novel barrier systems for chemical warfare agents;morphology studies of swcnt dispersed in conducting polymer as potential sensing materials;multi-walled carbon nanotubes functionalized with carboxyl and amide for acetone detection at room temperature;supramolecular interactions in aromatic structures for non-optical and optical chemosensors of explosive chemicals;facile synthesis and characterizations of silver nanoparticles-reduced graphene oxide hybrid;synthesis, characterization and bioactivity of chitosan hydroxyapatite composite doped with strontium;microwave absorption properties of monovalent doped la0.85ag0.15mno3 manganites prepared by solid state method;preface.

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11th international conference on EUropean Transnational Education, ICEUTE 2020

11th International Conference on EUropean Transnational Educ...

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11th international conference on EUropean Transnational Education, ICEUTE 2020

ISBN: (纸本)9783030577988

the proceedings contain 44 papers. the special focus in this conference is on EUropean Transnational Education. the topics include: the impact of international mobility in doctoral training in novel research groups: A case study;Enhancing interactive teaching of engineering topics using digital materials of the MERLOT database;technologies applied to the improvement of academic performance in the teaching-learning process in secondary students;data collection description for evaluation and analysis of engineering students academic performance;expansion of an evidence-based workshop for teaching of artificial intelligence in schools;Design of a PBL experience in the field of sustainability for industrial informatics;simple conception of photoresistor cell current-voltage characteristic measurement by arduino-based platform for educational purposes;Dual university training at the faculty of engineering Vitoria-Gasteiz (UPV-EHU);electromobility laboratory: A contribution for student participation in higher education;classroom improvement cycle in architecture by means of problem-based learning;Implementation of an integrated STEM activity in pre-primary schools;problem generalization for designing recursive algorithms;analysis of student achievement scores via cluster analysis;knowledge modelling for ill-defined domains using learning analytics: Lineworkers case;school success and school dropout in portuguese polytechnic higher education (case study);Use of IT in project-based learning applied to the subject surveying in civil engineering;Intentions towards following science and engineering studies among primary education pupils participating in integrated STEAM activities;engagement and learning from a team-based mini-project in mechatronic engineering;educational-oriented mobile robot: Hidden lessons;the acquisition of competences in transnational education through the ePortfolio;preface;estimating expected student academic performance.

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Bird Call Recognition using Acoustic based Feature Selection approach in Machine Learning

Bird Call Recognition using Acoustic based Feature Selection...

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international conference on computing Communication Control and Automation (ICCUBEA)

作者： Shivam Mishra Rumpa Ghatak Vishal Kumar Singh Shivam Kumar Singh Anisha Mahato Information Technology Techno International New Town Kolkata India

the recognition of bird calls has been a challenging task in the field of bioacoustics. With the advancement of machine learning algorithms, automatic bird call recognition has become an active research area. In this paper, acoustic feature selection is used which involves the extraction of relevant features from audio recordings of bird calls. then different classification algorithms are explored for the recognition of the bird calls. Evaluation of the approach is done on a dataset consisting of recordings from multiple bird species and compared it with other state-of-the-art machine learning algorithms. this research has the potential to contribute to the conservation of bird species and their habitats by enabling the efficient monitoring of bird populations. the data is classified into four different classes (namely Astfly, Bulori, Warvir and Woothr). All of which is found in the depths of Amazon Rainforest.

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7th international Symposium of Space Optical Instruments and Applications, ISSOIA 2022

7th International Symposium of Space Optical Instruments and...

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7th international Symposium of Space Optical Instruments and Applications, ISSOIA 2022

ISBN: (纸本)9789819940974

the proceedings contain 60 papers. the special focus in this conference is on . the topics include: Applications of High-Power Semiconductor Lasers in Marine Environmental Monitoring;a General Recognition Approach for Formation Change of Group Targets;the Technology of Aerospace Monitoring of Changes in the Ecological Condition of the Environment Using the Statistical Criteria Method with Virtual Standards, on the Example of Mining and Industrial Territories of Ukraine;geometric Positioning Sensitivity Analysis of Spaceborne Laser Altimeter;improvement of the Information Technology Basis for Aerospace Monitoring of the Sea Shelf for the Search for Hydrocarbon Deposits in the Optical Spectral Range;research and Comparison on Remote Sensing Image Restoration Methods Under the Influence of Microvibration;status and Progress of Research on HgCdTe Photovoltaic Infrared Detectors;starting from the Sampling Imaging System, A Comprehensive Review on the Remote Sensing Image Super-Resolution Technology;Remote Sensing Image Lossy Compression Based on JPEG with Controlled Visual Quality;research on Levelness Measurement Method of Large Size Object Based on Laser Tracker and Electronic theodolite;Research on TDI Mode of Area Array Camera for Space Debris Detection;a Micro-Satellite Design for Deep Space Exploration;a Method for Increasing Dynamic Range of Space Point Target Detecting System;the Effect of Instrumental Polarization on the High Resolution Imaging of Space Interferometry;satellite Photometric Characteristics Modeling and Simulation Influenced by Attitude Changes;design of On-Orbit Radiation Calibration Scheme of Optical Remote Sensing systems;spatial Resolution Evaluation Method Based on Edge Characteristics;P-FSM and M-FSM Piezoelectric and Magnetic Fast Steering Mirrors.

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proceedings of ScalA 2020: 11th Workshop on Latest Advances in Scalable algorithms for Large-Scale systems, Held in conjunction with SC 2020: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of ScalA 2020: 11th Workshop on Latest Advances ...

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11th IEEE/ACM Workshop on Latest Advances in Scalable algorithms for Large-Scale systems, ScalA 2020

ISBN: (纸本)9781665422703

the proceedings contain 10 papers. the topics discussed include: replacing pivoting in distributed Gaussian elimination with randomized techniques;implementation and numerical techniques for one EFlop/s HPL-AI benchmark on Fugaku;performance analysis of a quantum Monte Carlo application on multiple hardware architectures using the HPX runtime;an integer arithmetic-based sparse linear solver using a GMRES method and iterative refinement;two-stage asynchronous iterative solvers for multi-GPU clusters;basic linear algebra operations on TensorCore GPU;a survey of singular value decomposition methods for distributed tall/skinny data;and a fast scalable iterative implicit solver with green’s function-based neural networks.

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