Search Results - (( developing inter detection algorithm ) OR ( java implication based algorithm ))

Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

“…The algorithm created is used to detect the ball in the images. …”
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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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Cloudids: Cloud Intrusion Detection Model Inspired By Dendritic Cell Mechanism by Azuan Ahmad, Norbik Bashah Idris, Mohd Nazri Kama

“…The experiments show that the Cloud IDS model based on Dendritic Cell algorithm able to identify and detect novel threat that targeting Cloud environment.…”

AUTOMATED SCORING FOR SCALINESS OF PSORIASIS LESIONS USING EDGE DETECTION by ZAINAL ABIDIN, MUHAMMAD HAFIZUDDIN

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Detection of Epileptic EEG Signal Using Wavelet Transform and Adaptive Neuro-Fuzzy Inference System by Khosropanah, Pegah

“…Such algorithms use brain electrical activity signals called electro encephalography (EEG) and have 2 methods of detection: visual (by specialist inspection) and automatic (by using signal processing knowledge). …”
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Projected majorized-correlation technique for noise filtering and accuracy in orthogonal frequency division multiplexing by Alsaadi, Alaa Abdullah Mohammed

“…One of the important factor is related to oscillator itself which generates the carrier signals and causes Inter Channel Interference Noise (ICI). The second main factor is a multipath fading channel which causes a delay in OFDM signal and results for Inter Symbol Interference Noise (ISI).Basically, phase noise is considered as main problem that causes significant degradation in detecting packet-based OFDM signals. …”
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Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques by Sharuddin, Nur Amirah Atikah

“…This study investigates the application of machine learning algorithms for the detection of ischemic stroke using CT brain images. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

“…However, analysis of mobile and wearable sensor data for human activity detection is still very challenging. This is further worsen by the use of single sensors modality and machine learning algorithms. …”
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Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment by Yekeen, S.T., Balogun, A.-L.

“…The scope of previous reviews is extended by covering the inter-related dimensions of detection, discrimination, and trajectory prediction of oil spills for vulnerability assessment. …”
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Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad by Mehdi , Jahanirad

“…To determine the source of the audio several techniques have been developed. Those techniques work by identifying the acquisition device’s fingerprint as the detection features. …”
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Anomaly gait detection in children with autism spectrum disorder based on markerless-model approach / Nur Khalidah Zakaria by Zakaria, Nur Khalidah

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Evaluation approach for efficient countermeasure techniques against denial-of-service attack on MPSoC-based IoT using multi-criteria decision-making by Al-Hchaimi, Ahmed Abbas Jasim, Sulaiman, Nasri, Mustafa, Mohd Amrallah, Mohtar, Mohd Nazim, Mohd Hassan, Siti Lailatul, Muhsen, Yousif Raad

“…The CRITIC method for criteria weighting was followed by the development of the Fermatean-FDOSM method for ranking. …”
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Secure multi-authority attribute-based encryption access control with cache-aware scheduling in mobile cloud computing by Jamal, Fara

“…During a security attack, the MTTD for the existing solution was very high because the existing scheme could not detect the attack. For the proposed scheme, the MTTD was very low which is 4.89 minutes, because of the consensus algorithm. …”
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