Withthe immense computing power at our disposal, the numerical solution of partial differential equations (PDEs) is becoming a day-to-day task for modern computational scientists. However, the complexity of real-life...
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the proceedings contain 66 papers. the topics discussed include: studies on nozzle flow at beneficial and adverse flow conditions and effectiveness of flow control management;assessing security health of public WiFi e...
ISBN:
(纸本)9780738105048
the proceedings contain 66 papers. the topics discussed include: studies on nozzle flow at beneficial and adverse flow conditions and effectiveness of flow control management;assessing security health of public WiFi environments in the UAE;designing an inventory database software suitable for small business;digital literacy of educators and their attitude towards MOOC platform in Arab world;unattended object detection and tracking;exploring the perceptions of faculty members and students on cloud computing adoption in higher educational institutions of Bangladesh;RFID based security and home automation system using FPGA;pre-elicitation processes hierarchy for GSD based requirements elicitation frameworks;home-based monitoring and alert system for sleep apnea patients;and cap-eye-citor: a machine vision inference approach of capacitor detection for PCB automatic optical inspection.
the proceedings contain 38 papers. the topics discussed include: dynamic functional connectivity and graph convolution network for Alzheimer’s disease classification;effective evaluation of clustering algorithms on s...
ISBN:
(纸本)9781450388221
the proceedings contain 38 papers. the topics discussed include: dynamic functional connectivity and graph convolution network for Alzheimer’s disease classification;effective evaluation of clustering algorithms on single-cell CNA data;expression and methylation of tumor suppressor gene DKK3 in nasopharyngeal carcinoma: a datamining study;towards data-driven modelling of sumoylation following heat shock;using hidden Markov model for identification based on EEG signals;the study of voice pathology detection based on MFCC and SVM;improved robustness in water-fat separation in MRI using conditional adversarial networks;4th order tensors for multi-fiber resolution and segmentation in white matter;orientation and distance dependence of pairwise correlation in macaque V1;and the impact of two scatter correction methods on I-131 AC-SPECT images using an anthropomorphic phantom with variable sizes of thyroid remnants.
this article presents a wideband conformal meandered bowtie antenna for capsule endoscopy systems for gastrointestinal tract monitoring. the antenna has an operational bandwidth of 0.39-1.06 GHz (92%) and can operate ...
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the proceedings contain 682 papers. the topics discussed include: fault identification technology of series arc based on deep learning algorithm;calibration of the sensitivity of UHF partial discharge detection system...
ISBN:
(纸本)9781728155111
the proceedings contain 682 papers. the topics discussed include: fault identification technology of series arc based on deep learning algorithm;calibration of the sensitivity of UHF partial discharge detection systems based on standard device-monoconical TEM cell;dielectric spectrum of random copolymerization polypropylene nanocomposites doped with nano silica at different temperatures;dielectric and thermal properties of polylactic acid/barium titanate composites;partial discharge pattern classification based on deep learning for defect identification in MV cable terminations;arcing modeling and simulation for single-phase ground fault in noneffectively grounded distribution system;development and compensation experiment of HF detection system for GIS gas chamber;the mechanisms of surface charging on downsized HVDC GIL spacers coated with non-uniform conductivity;and dielectric testing of cable connection assembly for gas-insulated HVDC system.
the proceedings contain 74 papers. the topics discussed include: identifying the development trend of arm-based server ecosystem using Linux kernels;quantum entanglement based sentence similarity computation;Bayesian ...
ISBN:
(纸本)9781728170862
the proceedings contain 74 papers. the topics discussed include: identifying the development trend of arm-based server ecosystem using Linux kernels;quantum entanglement based sentence similarity computation;Bayesian matrix factorization for visual tracking;label noise filtering based on data distribution and relative density;distributed algorithm for principal component analysis based on power method and average consensus algorithm;single dendritic neuron model trained by spherical search algorithm for classification;improved whale optimization algorithm via cellular automata;and a visualized detection method of traffic anomaly based on feature dimension superposition.
the rapid digital transformation across industries, including manufacturing, has created significant blind spots for organizations when it comes to security. the threat surface grows as businesses engage more in autom...
the rapid digital transformation across industries, including manufacturing, has created significant blind spots for organizations when it comes to security. the threat surface grows as businesses engage more in automation, scale their operations, and integrate IoT, and many security teams struggle to stay up. However, in the age of digitalization, the emphasis must move from protecting network perimeters to protecting data that is dispersed across systems, devices, and the cloud. Organizations must maintain a strong asset management process, be resilient to cyber risks, and generate business value by being ahead of the curve when it comes to managing cyber threats.
the proceedings contain 40 papers. the special focus in this conference is on Information Processing. the topics include: On Improving Quality of Experience of 4G Mobile Networks – A Slack Based Approach;STVM: Scatte...
ISBN:
(纸本)9783030912437
the proceedings contain 40 papers. the special focus in this conference is on Information Processing. the topics include: On Improving Quality of Experience of 4G Mobile Networks – A Slack Based Approach;STVM: Scattered Time Aware Energy Efficient Virtual Machine Migration in Cloud computing;DRP-DBAS: Dynamic Resource Provisioning for Deadline and Budget Aware Workflow Scheduling in IaaS Clouds;predicting the Movement of Cryptocurrency "Bitcoin" Using Random Forest;Evaluating the Performance of POX and RYU SDN Controllers Using Mininet;Design and Development of Data Warehousing for Bookstore Using Pentaho BI Tools;prediction of Essential Protein Using Machine Learning Technique;diabetes Prediction Using Boosting algorithms: Performance Comparison;novel Classification Modelling for Bipolar Disorder Using Non-verbal Attributes for Classification;topic Models for Re-Id from Curbed Video Traces;Towards More Accurate Touchless Fingerprint Classification Using Deep Learning and SVM;Real Conversation with Human-Machine 24/7 COVID-19 Chatbot Based on Knowledge Graph Contextual Search;positive Correlation Based Efficient High Utility Pattern Mining Approach;mental Health Analysis of Indians During Pandemic;Prediction of Breast Cancer Analysis Using Machine Learning algorithms and XGBoost Technique;natural Language Inference: Detecting Contradiction and Entailment in Multilingual Text;fake News Detection Using Artificial Neural Network Algorithm;path and Information Content-Based Structural Word Sense Disambiguation;ERDNS: Ensemble of Random Forest, Decision Tree, and Naive Bayes Kernel through Stacking for Efficient Cross Site Scripting Attack Classification;PRGR-C19: Profiling Rapid Growth Regions of COVID-19 Pandemic, A Data-Driven Knowledge Discovery Approach;effectual Single Image Dehazing with Color Correction Transform and Dark Channel Prior;intelligent Code Completion.
Running deep learning models on a computer is often resource intensive and time-consuming. Deep learning models require high-performance GPUs to train on big data. It might take days and months to train models with la...
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Deep learning systems have become popular for tackling a variety of music information retrieval tasks. However, these systems often require large amounts of labeled data for supervised training, which can be very cost...
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