Titlebook: Intelligent Computing Theories and Application; 17th International C De-Shuang Huang,Kang-Hyun Jo,Vitoantonio Bevilacqu Conference proceedi

晚间

A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanismtion networks are trained as feature extractors of fundus images, and complementary deep attention feature descriptors are formed through feature fusion, which can effectively improve the accuracy of the classification model. The experimental results on EyePACS, Messidor and OIA datasets show that the proposed method outperforms the previous ones.

CANE

Super-Large Medical Image Storage and Display Technology Based on Concentrated Points of Interestves fast loading and displaying of oversized cell images, and has been practically applied in relevant medical institutions, achieving certain results in compressed storage and real-time display of cell images, showing the effectiveness and advancement of the method.

ARCH

Conference proceedings 2021ational Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions...The ICIC theme unifies the picture of contemporary intelligent computing techniques as an i

PUT

Multi-objective Optimization-Based Task Offloading and Power Control for Mobile Edge Computing based on theoretical analysis of the model and design a multi-objective offloading strategy based on NSGA-II. Our approach is able to obtain best trade-off among energy consumption, task delay and price. Experimental results on test instances shows the effectiveness and efficiency of our proposed a

侵略

An Evolutionary Neuron Model with Dendritic Computation for Classification and Predictionistical analysis show that the learning algorithm plays a decisive role in the performance of the DNM. It is worth emphasizing that the FADNM incorporates an invaluable neural pruning scheme to eliminate superfluous synapses and dendrites, simplifying its structure and forming a unique morphology. T

Meditative

按等级

Computational Prediction of Protein-Protein Interactions in Plants Using Only Sequence Informationorming the proposed method on the plant PPIs data set of ., we achieved excellent results with high accuracies of 89.12%. To further assess the prediction performance of the proposed approach, we compared it with the state-of-art support vector machine (SVM) classifier. Experimental results demonstr

ostensible

A Hierarchical Retrieval Method Based on Hash Table for Audio Fingerprintingandidates. In the second stage, the exact retrieval result is found by calculating the similarity between the query fingerprint block and the reference fingerprint block. The proposed method reduces the computational complexity of fingerprint matching by narrowing the scope of retrieval, thus improv

GLIB

Person Re-identification Based on Hashhigh accuracy at the same time and a coarse-to-fine (CF) retrieval strategy is proposed. Experiments on two public person re-identification datasets, Market-1501 and DukeMTMC-ReID, show the effectiveness of the proposed method. Compared with the benchmark model, the performance of our method is only

Awning