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共 249 条记录，以下是131-140 订阅

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Proceedings of international conference on Circuit Power and computing Technologies, ICCPCT 2024

Proceedings of International Conference on Circuit Power and...

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7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

ISBN: (纸本)9798350372816

the proceedings contain 315 papers. the topics discussed include: cloud-based storage solutions for facial recognition attendance systems;machine learning approaches for proactive phishing attack detection;IoT device attacks, security and certification;integrated renewable energy system with ANN based MPPT for efficient power generation, wireless transmission, and energy storage in EV applications;accelerating sustainability through leveraging machine learning to analyze CSR spending in the Indian automobile industry;DDSRF theory for power quality in UPFC applications;towards a greener future: harnessing green computing to reduce ICT carbon emissions;innovative waste management: the efficiency of IoT-enabled smart bins;cataracts detection using convolution neural network;and performance enhancement of machine learning algorithms for predicting stroke.

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Proceedings of the international conference on High Performance computing in Asia-Pacific Region, HPC Asia 2024

Proceedings of the International Conference on High Performa...

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7th international conference on High Performance computing in Asia-Pacific Region, HPC Asia 2024

ISBN: (纸本)9798400708893

the proceedings contain 17 papers. the topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized remapping algorithms for km-scale global weather and climate simulations with icosahedral grid system;approximate block diagonalization of symmetric matrices using quantum annealing;QUBO formulation using inequalities for problems with complex constraints;low-latency communication in RISC-V clusters;flexible systolic array platform on virtual 2-D multi-FPGA plane;an efficient task-parallel pipeline programming framework;and task-based low-rank hybrid parallel Cholesky factorization for distributed memory environment.

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Using Artificial Intelligence to Control Drones 7

Using Artificial Intelligence to Control Drones

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7th IEEE international conference on Methods and systems of Navigation and Motion Control, MSNMC 2023

作者： Pavlenko, Volodymyr Ponomarenko, Ihor Morhulets, Oksana Osadchyi, Viacheslav Ponomarenko, Dmytro Hrygorevska, Olena Kyiv National University of Technologies and Design Faculty of Mechatronics and Computer Technologies Kyiv Ukraine State University of Trade and Economics Department of Marketing Kyiv Ukraine Kyiv National University of Technologies and Design Department of Tourism Hotel and Restaurant Business Kyiv Ukraine Borys Grinchenko Kyiv University Faculty of Economics and Management Kyiv Ukraine International University of Business and Law Kyiv Ukraine Kyiv National University of Technologies and Design Department of Finance and Business Consulting Kyiv Ukraine

ISBN: (纸本)9798350395150

the importance of using drones to optimize results by types of economic activity is presented. the expediency of conducting comprehensive scientific research with the aim of finding new ways of using the presented technology and identifying ways to optimize the control of unmanned vehicles has been proven. It has been established that thanks to the improvement of the drone control system, it is possible to achieve qualitatively new results regarding the collection of various information and solving logistical problems in an extreme environment or conditions of uncertainty. the main factors of the active development of algorithms in the Data science, which allow optimizing various processes in the field of human activity, are presented. the importance of using server storage for the accumulation and processing of large arrays of heterogeneous information is revealed. Features of the transformation of the mathematical models use directions for data processing and the activation of the machine learning algorithms development are given. the reasons for the intensification of artificial intelligence introduction as a technology for making effective management decisions are revealed. the main directions of using artificial intelligence to optimize the management and operation of unmanned aerial vehicles are presented. A conceptual scheme of collection, accumulation and processing of heterogeneous information, which is generated by various devices placed on drones, and directions for applying artificial intelligence to achieve effective results are presented. the expediency of improving pattern recognition technology on a permanent basis has been proven, which will allow more accurate assessment of individual elements of the external environment and increase the efficiency of the logistics systems implementation. the possibility of using artificial intelligence for decision-making in conditions of uncertainty without the influence of the human factor and training on a perm

关键词： Drones

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7th international Workshop Soft computing Applications, SOFA 2016

7th International Workshop Soft Computing Applications, SOFA...

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7th international Workshop on Soft computing Applications, SOFA 2016

ISBN: (纸本)9783319625232

the proceedings contain 91 papers. the special focus in this conference is on Soft computing Applications. the topics include: Model evaluation as approach to predict a diagnosis;the basics of implementing intelligent social networks;the generation of tests of knowledge check using genetic algorithms;matrix-valued bidirectional associative memories;enhanced gradient descent algorithms for quaternion-valued neural networks;a reinforcement learning based approach to multiple sequence alignment;supervised learning techniques for body mass estimation in bioarchaeology;a fuzzy approach of sensitivity for multiple colonies on ant colony optimization;nature inspired partitioning clustering algorithms;parametric prediction model using expert system and fuzzy harmonic system;prediction of customer satisfaction using naive bayes, multiclass classifier, K-star and IBK;spam email detection using deep support vector machine, support vector machine and artificial neural network;collaborative business process solution considering an ontological dimension of process models;logistics scenario for wind turbine assembly based on ERP;relieving supply chain through collaboration for wind turbine assembly based on AHP and DBR;integrating E-learning platforms in teaching/learning. a critical review upon the virtual campus usage in UPT;application of the fuzzy-pay-off method in the valuation of a financial instrument;fuzzy logic control strategy for a three-phase electric arc furnace;fuzzy-expert system for investments in winemaking;closed loop blood glucose regulation of type 1 diabetic patient using takagi-sugeno fuzzy logic control;distributive fairness in educational assessment and iris segmentation in the last decade - a survey.

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Proceedings of Seventh international conference on Bio-Inspired computing: theories and Applications, BIC-TA 2012

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7th international conference on Bio-Inspired computing: theories and Applications, BIC-TA 2012

ISBN: (纸本)9788132210405

the proceedings contain 91 papers. the topics discussed include: permitting features in P systems generating picture arrays;bio-inspired soft-computational framework for speech and image application;leukocyte classification in skin tissue images;solving application oriented graph theoretical problems with DNA computing;improved real-time discretize network intrusion detection system;identification and impact assessment of high priority field failures in passenger vehicles using evolutionary optimization;automatic agricultural leaves recognition system;non-uniform mapping in binary-coded genetic algorithms;fuzzy modeling and similarity based short term load forecasting using swarm intelligence-a step towards smart grid;universal web authentication system using unique web identity;an overview of the applications of particle swarm in water resources optimization;and quasi-based hierarchical clustering for land cover mapping using satellite images.

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Advances in Visual computing - 7th international Symposium, ISVC 2011, Proceedings

Advances in Visual Computing - 7th International Symposium, ...

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7th international Symposium on Visual computing, ISVC 2011

ISBN: (纸本)9783642240270

the proceedings contain 143 papers. the topics discussed include: a localization framework under non-rigid deformation for robotic surgery;global image registration by fast random projection;EM-type algorithms for image reconstruction with background emission and Poisson noise;region-based segmentation of parasites for high-throughput screening;adaptive coded aperture photography;display pixel caching;segmentation-free, area-based articulated object tracking;an attempt to segment foreground in dynamic scenes;from saliency to eye gaze: embodied visual selection for a pan-tilt-based robotic head;adaptive two-step adjustable partial distortion search algorithm for motion estimation;immersive out-of-core visualization of large-size and long-timescale molecular dynamics trajectories;disambiguation of horizontal direction for video conference systems;and virtual interrupted suturing exercise with the endo stitch suturing device.

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Advances in Visual computing - 7th international Symposium, ISVC 2011, Proceedings

Advances in Visual Computing - 7th International Symposium, ...

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7th international Symposium on Visual computing, ISVC 2011

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Proceedings of Seventh international conference on Bio-Inspired computing: theories and Applications, BIC-TA 2012

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7th international conference on Bio-Inspired computing: theories and Applications, BIC-TA 2012

ISBN: (纸本)9788132210375

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7th European conference on Parallel computing, Euro-Par 2001

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7th European conference on Parallel computing, Euro-Par 2001

ISBN: (纸本)3540424954

the proceedings contain 130 papers. the special focus in this conference is on Parallel Processing. the topics include: Software component technology for high performance parallel and grid computing;connecting computational requirements with computing resources;a tool for binding to threads processors;a distributed object infrastructure for interaction and steering;optimal polling for latency-throughput tradeoffs in queue-based network interfaces for clusters;performance prediction of data-dependent task parallel programs;the hardware performance monitor toolkit;via communication performance on a gigabit Ethernet cluster;group-based performance analysis for multithreaded SMP cluster applications;exploiting unused time slots in list scheduling considering communication contention;an evaluation of partitioners for parallel SAMR applications;load balancing on networks with dynamically changing topology;approximation algorithms for scheduling independent malleable tasks;load redundancy elimination on executable code;using a swap instruction to coalesce loads and stores;data-parallel compiler support for multipartitioning;parallel and distributed databases, data mining and knowledge discovery;an experimental performance evaluation of join algorithms for parallel object databases;a classification of skew effects in parallel database systems;experiments in parallel clustering with DBSCAN;analysis of the cycle structure of permutations;scanning biosequence databases on a hybrid parallel architecture;experiences in using MPI-Io on top of GPFS for the IFS weather forecast code;improving conditional branch prediction on speculative multithreading architectures;performances of a dynamic threads scheduler and self-stabilizing neighborhood unique naming under unfair scheduler.

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On the effectiveness of constraints sets in clustering genes

On the effectiveness of constraints sets in clustering genes

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7th IEEE international conference on Bioinformatics and Bioengineering, BIBE

作者： Zeng, Erliang Yang, Chengyong Li, Tao Narasimhan, Giri School of Computing and Information Sciences Florida International University Miami FL 33199 United States Applied Biosystems Inc. Foster City CA United States

ISBN: (纸本)1424415098

In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constraints. We have also studied the effectiveness of various constraints sets. To address the problem of automatically generating constraints from biological text literature, we considered two methods (cluster-based and similarity-based). We concluded that incomplete information in the form of constraints set should be generated carefully, in order to outperform the standard clustering algorithm, which works on the data source without any constraints. For sufficiently large constraints sets, the constrained clustering algorithm outperformed the MSC algorithm. the novelty of research presented here is the study of effectiveness of constraints sets and robustness of the constrained clustering algorithm using multiple sources of biological data, and incorporating biomedical text literature into constrained clustering algorithm in form of constraints sets. ©2007 IEEE.

关键词： Clustering algorithms

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