Titlebook: Advances in Signal Processing and Intelligent Recognition Systems; 4th International Sy Sabu M. Thampi,Oge Marques,Maheshkumar H. Kolekar C

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書目名稱Advances in Signal Processing and Intelligent Recognition Systems影響因子(影響力)




書目名稱Advances in Signal Processing and Intelligent Recognition Systems影響因子(影響力)學(xué)科排名




書目名稱Advances in Signal Processing and Intelligent Recognition Systems網(wǎng)絡(luò)公開度




書目名稱Advances in Signal Processing and Intelligent Recognition Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Signal Processing and Intelligent Recognition Systems被引頻次




書目名稱Advances in Signal Processing and Intelligent Recognition Systems被引頻次學(xué)科排名




書目名稱Advances in Signal Processing and Intelligent Recognition Systems年度引用




書目名稱Advances in Signal Processing and Intelligent Recognition Systems年度引用學(xué)科排名




書目名稱Advances in Signal Processing and Intelligent Recognition Systems讀者反饋




書目名稱Advances in Signal Processing and Intelligent Recognition Systems讀者反饋學(xué)科排名

BRIDE

Clickbait Detection Using Swarm Intelligenceckbaits. In comparison with algorithms used in the past, this SI based technique provided a better accuracy and a human interpretable set of rules to classify clickbaits. A maximum accuracy of 96.93% with a set of 20 classification rules was obtained using the algorithm.

insipid

Xujie Si,Xin Zhang,Radu Grigore,Mayur Naik animals and local bird species from microphones deployed on the site. This experiment provides insight on the usage of deep learning technology in a real deployment. The originality of this work concerns the system’s ability to construct its own database from local audio sampling under the supervision of human visitors and bird experts.

嫌惡

Computing in Algebraic Extensions,frequency, and wavelet). These are modeled using state of the art generative and discriminative classification schemes. We performed extensive experiments on a publicly available dataset, where we report encouraging recognition rates.

negotiable

多山

acquisition

FIS

G. E. Collins,M. Mignotte,F. Winklertation using fuzzy based clustering technique along with node scheduling. The normal nodes are used for routing purpose along with super nodes. The proposed protocol yields the optimum energy consumption and improve the performance and network lifetime for monitoring the nuclear plant surrounding.

幻影

Deep Learning Locally Trained Wildlife Sensing in Real Acoustic Wetland Environment animals and local bird species from microphones deployed on the site. This experiment provides insight on the usage of deep learning technology in a real deployment. The originality of this work concerns the system’s ability to construct its own database from local audio sampling under the supervision of human visitors and bird experts.

Ballerina