Search Results - adaptive make difference ((encryption algorithm) OR (detection algorithm))

New CFAR algorithm and circuit development for radar receiver by Kamal, Mustafa Subhi

“…All these algorithms are simulated using MATLAB and applied them to three different clutter models that represent different environment cases. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact by Lim, Pooi Khoon, Ng, Siew Cheok, Lovell, Nigel Hamilton, Yu, Yong Poh, Tan, Maw Pin, McCombie, Devin, Lim, Einly, Redmond, Stephen James

“…This study aims to develop an online artefact detection system based on adaptive (dynamic) template matching, suitable for continuous PPG monitoring during daily living activities or in the intensive care units (ICUs). …”
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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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A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim by Ibrahim, Mohd Faisal

“…First, a content negotiation and adaptation architecture was proposed to facilitate the process of identifying and detecting client device. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

“…The thesis then provides an automatic system for breast cancer detection. An automatic thresholding algorithm was used to separate the area composed of the breast and the pectoral muscle from the background of the image. …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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A Scheme For Space-Time-Frequency Coding And Adaptive Multiple Antenna Selection For Improving The Performance Of Multiple-Input Single-Output Ofdm System by Noordin, Nor Kamariah

“…Realizing that ST and SF behave differently in different environments, a new adaptive spatial mode (ASM)-OFDM is proposed. …”
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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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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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Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network by Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

“…The algorithm was appraised by Mean Squared Error MSE and Average Difference Indicator (ADI). …”
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Damageless Digital Watermarking Using Complex-valued Artificial Neural Network by Olanweraju, Rashidah Funke

“…The algorithm was appraised by Mean Squared Error MSE and Average Difference Indicator (ADI). …”
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Implementation and Analysis of Biological Synaptogenesis Technique on Nodes and Interconnects for NoC Fault Tolerance by Sethi, Athar Javed Sethi, Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

“…But all these conventional algorithms have drawbacks of adaptiveness and robustness. …”
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Damageless digital watermarking using complex-valued artificial neural network by Olanweraju, Rashidah Funke, Ali Aburas, Abdurazzag, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

“…The algorithm was appraised by Mean Squared Error MSE and Average Difference Indicator (ADI). …”
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Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

“…This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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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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Cardiac abnormality prediction using tansig based multilayer perceptron by Mohanty, Sibani Priyadarshini, Syahrull Hi-Fi Syam Ahmad Jamil, Jailani Abdul Kadir, Mohd Salman Mohd Sabri, Fakroul Ridzuan Hashim

“…This study has used a Multilayer Perceptron (MLP) network as ANN structure by being trained using three different training algorithms namely Backpropagation (BP), Lavenberg Marquardt (LM) and Bayesian Regularization (BR). …”
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

“…Second, an Optimized time sliding window packet marker (OTSWTCM) algorithm. This algorithm depends on the adaptability of the concept in the ITSWTCM, I2TSWTCM and M2I2TSWTCM algorithms for affecting the fairness and multiple protocols. …”
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Water quality monitoring using machine learning and IoT: a review by Hasan, Tahsin Fuad, Kabbashi, Nassereldeen Ahmed, Saleh, Tanveer, Alam, Md. Zahangir, Abd Wahab, Mohd Firdaus, Nour, Abdurahman Hamid

“…Long-term cost savings can be seen in different ways as reduced labor costs, lower operational costs, early detection and intervention prevent costly repairs and emergencies, minimized infrastructure costs, distributed IoT sensors reduce the need for extensive physical infrastructure, optimized resource allocation and efficiency improvements with IoT and Machine Learning in water quality monitoring can be highlighted in the following points, real-time monitoring: immediate data analysis allows for prompt adjustments and decision-making, enhanced accuracy, advanced sensors and algorithms improve data precision and reliability, scalability, systems can be easily expanded or adapted to meet evolving needs, predictive maintenance, automated systems proactively address issues before they escalate, reducing manual oversight. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

“…In future, this research can be an initial work in automating tutorial decisions in an intelligent tutoring system which are able to adapt to the behaviour of the learners based on the detected mental states. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…In Chapter 3, we propose a new online system to detect malicious spam emails and to adapt to the changes of malicious URLs in the body of spam emails by updating the system daily. …”
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