Titlebook: Machine Learning, Image Processing, Network Security and Data Sciences; 4th International Co Nilay Khare,Deepak Singh Tomar,Vaibhav Soni Co

明顯

書目名稱Machine Learning, Image Processing, Network Security and Data Sciences影響因子(影響力)




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences影響因子(影響力)學(xué)科排名




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences網(wǎng)絡(luò)公開度




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences被引頻次




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences被引頻次學(xué)科排名




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences年度引用




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences年度引用學(xué)科排名




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences讀者反饋




書目名稱Machine Learning, Image Processing, Network Security and Data Sciences讀者反饋學(xué)科排名

drusen

A Computational Approach to Identify Normal and Abnormal Persons Gait Using Various Machine Learning able to classify abnormal and normal with extending accuracy from 70 to 93% using various machine learning, deep learning algorithms and CNN classifier. The novelty of this paper is to increase the classification accuracy with fast processing and reduce the time complexity of the dataset.

亂砍

intimate

A Review on: Deep Learning and Computer Intelligent Techniques Using X-Ray Imaging for the Early Detd by computer intelligence techniques such as PSO/ACO. We anticipate it will be possible to construct a prediction model that allows as a means of early detection of patients whose knee structure will degenerate quickly due to arthritis.

蠟燭

A Novel Approach to Analyse Lung Cancer Progression and Metastasis Using Page Rank Techniqueom this populace. We analyse that primary lung cancers tend to metastasize with different frequencies to different metastatic sites. Generally, regional lymph nodes are the most frequent metastatic target whereas uterus is the least common.

侵略

A Survey on Human Activity Recognition Using Deep Learning Techniques and Wearable Sensor Datais paper, we have discussed the overview of HAR, its applications, and popular benchmark datasets available publicly. Further, we discussed various DL techniques applied for HAR applications. We have also presented the challenges associated with the field and the future directions for performing more vital research in HAR.

性別

DENT

hair-bulb

innate