the improvement of the time performance of pattern matching algorithm mainly lies in reducing the number of character comparisons and increasing the distance of the matching window moving to the right when mismatch. I...
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As a popular target detection algorithm, yolov3 has high detection speed and detection accuracy. However, compared with other target detection algorithms, yolov3 has poor performance in small target recognition, with ...
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As a popular target detection algorithm, yolov3 has high detection speed and detection accuracy. However, compared with other target detection algorithms, yolov3 has poor performance in small target recognition, with higher missed detection rates and higher false detection rates. In response to the above problems, this paper draws on the idea of adaptive spatial feature fusion (ASFF), and makes full use of the semantic information of high-level features and the fine-grained, edge, and texture features of low-level features to fuse high-level feature maps and shallow feature maps. Secondly, the K-means clustering algorithm is used to generate a more suitable anchor frame, which is conducive to further improving the recognition accuracy of the model, and finally the network structure is further improved. through training and recognition in the NWPU vhr-10 dataset, the mAP of the improved yolov3 algorithm is 79.89%, and the mAP of the unimproved yolov3 algorithm is 78.26%. After the improvement, the mAP of 1.63% is increased, and the improvement can solve the problem of low target recognition rate of yolov3 to a certain extent.
the proceedings contain 11 papers. the topic discussed include: recommender systems for online classiï¬52;ed advertisements;field experimentation in marketing research;deep reinforcement learning with Viz...
the proceedings contain 11 papers. the topic discussed include: recommender systems for online classiï¬üed advertisements;field experimentation in marketing research;deep reinforcement learning with VizDoom first-person shooter;searching for interpretable demographic patterns;fundamental factors affecting the MOEX Russia index: retrospective analysis;the comparison of methods for individual treatment effect detection;and efficient algorithms for constructing multiplex networks embedding.
the proceedings contain 8 papers. the topics discussed include: scalable hyperparameter optimization with lazy Gaussian processes;understanding scalability and fine-grain parallelism of synchronous data parallel train...
ISBN:
(纸本)9781728159850
the proceedings contain 8 papers. the topics discussed include: scalable hyperparameter optimization with lazy Gaussian processes;understanding scalability and fine-grain parallelism of synchronous data parallel training;DisCo: physics-based unsupervised discovery of coherent structures in spatiotemporal systems;GradVis: visualization and second order analysis of optimization surfaces during the training of deep neural networks;metaoptimization on a distributed system for deep reinforcement learning;scheduling optimization of parallel linear algebra algorithms using supervised learning;parallel data-local training for optimizing Word2Vec embeddings for word and graph embeddings;and fine-grained exploitation of mixed precision for faster CNN training.
the proceedings contain 122 papers. the topics discussed include: a detection of tissue electroporation with very short high voltage impulse;optimization of PLL loop filter control to reduce time delay using genetic a...
ISBN:
(纸本)9781728123691
the proceedings contain 122 papers. the topics discussed include: a detection of tissue electroporation with very short high voltage impulse;optimization of PLL loop filter control to reduce time delay using genetic algorithm on single phase grid tie inverter application;identifying smartphone based features for automatic learning style identification approaches using correlation tests;a knowledge-based model of expert system to assist exclusive breastfeeding mother;exploring the performance of TransJogja bus and the behavior of its passengers;a case study of indonesian government digital transformation: improving public service quality through e-government implementation;a review of missing sensor data imputation methods;a survey of hierarchical classification algorithms with big-bang approach;a survey of signal processing filters, calibration, and interactive applications based on smooth pursuit eye movement;an educational mobile application development with AR-based as a promotion media Alian Butterfly Park;analyzing the effect of block size on the quality of the stego audio;and automatic extractive text summarization for Indonesian news articles using maximal marginal relevance and non-negative matrix factorization.
the proceedings contain 8 papers. the special focus in this conference is on Dependable Software Engineering. the topics include: Simplifying the analysis of software design variants with a colorful alloy;Response tim...
ISBN:
(纸本)9783030355395
the proceedings contain 8 papers. the special focus in this conference is on Dependable Software Engineering. the topics include: Simplifying the analysis of software design variants with a colorful alloy;Response time analysis of typed DAG tasks for G-FP scheduling;a formal modeling and verification framework for flash translation layer algorithms;mixed criticality scheduling of probabilistic real-time systems;improving the analysis of gpc in real-time calculus;A verified specification of TLSF memory management allocator using state monads.
Phishing is one of the ruinous issues encountered by the World Wide Web (WWW) and steers to the financial catastrophes for individuals and businesses. It has been perpetually a perplexing issue to identify phishing at...
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Extensive research has been carried out in regard to homogenous Wireless Sensor Networks, subject to various constraints such as the available energy resources for sensor nodes. However, research for optimum cluster h...
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ISBN:
(数字)9781728191805
ISBN:
(纸本)9781728191812
Extensive research has been carried out in regard to homogenous Wireless Sensor Networks, subject to various constraints such as the available energy resources for sensor nodes. However, research for optimum cluster head selection and structure optimisation for heterogenous WSN has been quite wanting, especially considering the fact that heterogenous WSNs are more realistic compared to their homogenous counterparts and should be looked at with a greater sense of curiosity. It is found that despite making the fitness function converge, the genetic algorithm fails to optimise it fully, which is achieved by the proposed algorithm that is a modified version of the Jaya algorithm. the algorithm used in this study is successfully able to improve the network longevity by 52.979% and stability period by 43.149%. this is but one criterion of evaluation, however, it performs better in other criteria as well, like energy conservation, fitness convergence etc.
By 2025 Internet of things will reach over 75 billion devices which would exceed number of humans about 8.1 billion. these devices need to be secured from many threats by implementing secure and interoperable solution...
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ISBN:
(数字)9781728161754
ISBN:
(纸本)9781728161761
By 2025 Internet of things will reach over 75 billion devices which would exceed number of humans about 8.1 billion. these devices need to be secured from many threats by implementing secure and interoperable solutions in order to guarantee a proper functioning of the infrastructures and systems using the IoT. this is why we proposed a hybrid intrusion detection system installed on the cloud powering another online and real time intrusion detection system on the fog to monitor the communication and detect attacks before it spreads over the network as in the case of Mirai botnet. We will provide details of the different algorithms used to implement this distributed system so as to detect attacks against IoT devices.
In the past fifteen years, the grow of using Bag of Words (BoW) method in the field of computer vision is visibly observed. In addition,-for the text classification and texture recognition, it can also be used in clas...
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