Search Results - adaptive over different ((detection algorithm) OR (encryption algorithm))

Swarm negative selection algorithm for electroencephalogram signals classification by Sahel Ba-Karait, Nasser Omer, Shamsuddin, Siti Mariyam, Sudirman, Rubita

“…Such automated systems must rely on robust and effective algorithms for detection and prediction. Approach: The proposed detection system of epileptic seizure in EEG signals is based on Discrete Wavelet Transform (DWT) and Swarm Negative Selection (SNS) algorithm. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

“…However, the main problem with the EigenSpot method is that it cannot be adapted to detect more than one spatiotemporal hotspot. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

“…However, the main problem with the EigenSpot method is that it cannot be adapted to detect more than one spatiotemporal hotspot. …”
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Adaptive method to improve web recommendation system for anonymous users by Almurtadha, Yahya Mohammed

“…The second is Adaptive Web page Recommendation System (AWRS) which combines the classification algorithm of iPACT in addition to the ability of adaptive recommending due to the changes of the users‟ interests and weighting methods to deal with unvisited or new added pages. …”
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IMPROVING QoS OF VoWLAN VIA CROSS-LAYER BASED ADAPTIVE APPROACH by AHMED ALI ALSHAKHSI, SAMEHA

“…If voice quality degradation is detected, then the agent performs further rate adaptation to improve the quality. …”
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A tool for addressing construct identity in literature reviews and meta-analyses by Larsen, Kai Rune T., Bong, Chih How

“…Through the adaptation and combination of different natural language processing (NLP) algorithms, six designs were created and evaluated against human expert decisions. …”
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Evoluation strategy for collaborative beamforming in wireless sensor networks by Wong, Chen How

“…In addition, inverse phase perturbation is introduced for the improved ES (IES) which further improved the convergence speed by 31.6 % over the C1BF approach. Adaptive-JES is proposed for time-varying channels and the results show that the Adaptive-JES has the ability to detect channel changes. …”
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Evolution strategy for collaborative beamforming in wireless sensor networks by Wong, Chen How

“…In addition, inverse phase perturbation is introduced for the improved ES (IES) which further improved the convergence speed by 31.6 % over the C1BF approach. Adaptive-IES is proposed for time-varying channels and the results show that the Adaptive-IES has the ability to detect channel changes. …”
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A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network by Mustapha, Ibrahim

“…The scheme minimizes network energy consumption, improves channel utilization and enhances PUs detection performance from three different perspectives. …”
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Computer vision that can ‘see’ in the dark by Wong, Yan Chiew, Ahmad Radzi, Syafeeza, Goh, Shi Yong, Sarban Singh, Ranjit Singh

“…A hybrid model of integrating convolutional neural network (CNN) into YOLOv7 has been proposed. YOLOv7 is an algorithm designed for real-time object detection in image or video, for fast and accurate detection in applications such as autonomous vehicles and surveillance systems. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor by Samat, Ahmad Asri Abd

“…This new speed sensorless control is based on model reference adaptive system (MRAS) with a new adaptation scheme. …”
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Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani by Ghani, Mazuraini

“…Over a few decades, many computer vision systems haven been developed. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

“…We also introduce a dynamic analysis method, AndroPsychology, in order to analyse the network communications of Android applications. We extracted 30 different features from network traffic. We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Detection of hemorrhage and exudates in retinal fundus image of diabetic patients by Siti Sarah, Ahmad Mansor

“…In this phase, Edge Detection, Gradient Magnitude and Region Of Interest techniques are combined to form a complete working algorithm. …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study by Wenjun, Ji, Adamchuk, Viacheslav I., Song, Chao Chen, Mat Su, Ahmad S., Ismail, Ashraf, Qianjun, Gan, Zhou, Shi, Biswas, Asim

“…After choosing the optimal sensor combination for each soil property, the predictive capability was compared using different data mining algorithms, including support vector machines (SVM), random forest (RF), multivariate adaptive regression splines (MARS), and regression trees (CART). …”
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Multiview face emotion recognition using geometrical and texture features by Goodarzi, Farhad

“…A 3D face pose estimation algorithm detects head rotations of Yaw, Roll and Pitch for emotion recognition. …”
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Electrocardiogram based heart disease diagnosis using artificial intelligence by Hussain Kareem, Khleaf

“…Therefore, it is necessary to have suitable methods for early detection of heart condition of the patient. In addition, the ECG is recorded on a thermal paper, which cannot be stored for a long time, because thermal trace over time tends to erase gradually. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…In the experiment, we study the effect of introducing the outlier detection in RAN-LSH. As a result, by introducing the outlier detection, we confirm that the detection accuracy is enhanced on 377$ 3(53867$.$$1781.8781$0,1$+ average over the testing period. …”
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