Search Results - (( basic preventive extraction algorithm ) OR ( java implication based algorithm ))

Building a feature-space for visual surveillance by Altahir, A.A., Asirvadam, V.S.

“…Moreover, our paper explains the basic concept of feature extraction and the procedures required to extract these features. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Proposed fatigue index for the objective detection of muscle fatigue using surface electromyography and a double-step binary classifier by Qassim, Hassan M., Hasan, Wan Zuha Wan, Ramli, Hafiz R., Harith, Hazreen Haizi, Inche Mat, Liyana Najwa, Ismail, Luthffi Idzhar

“…Muscle fatigue was found to be present and was objectively detected when the value of the proposed fatigue index was equal to or greater than zero. The proposed algorithm was tested on 75 EMG signals that were extracted from 75 middle deltoid muscles. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Challenges of hidden data in the unused area two within executable files by Naji, Ahmed Wathik, Zaidan, A.A., Zaidan, B.B.

“…Approach: The system designed to accommodate the release mechanism that consists of two functions; first is the hiding of the information in the unused area 2 of PE-file (exe.file), through the execution of four process (specify the cover file, specify the information file, encryption of the information, and hiding the information) and the second function is the extraction of the hiding information through three process (specify the steno file, extract the information, and decryption of the information). …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

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A deep learning approach: The impact of sentiment analysis of Bangladeshi workers over the world by Tomal, Md Raihanul Islam, Kader, Tanveer, Kohbalan, Moorthy, Mazlina, Abdul Majid

“…TF-IDF vectorization was used for feature extraction, followed by basic machine learning algorithms such as Decision Tree, Support Vector Machine, and Naive Bayes. …”
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