Search Results - (( next detection based algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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A novel steganography algorithm using edge detection and MPC algorithm by Aref Rezaei, Leili Farzinvash, Ali Farzamnia

“…Next, it identifies the edge blocks based on the variance of their corner pixels. …”
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A Fast Vertical Edge Detection Algorithm for Car License Plate Detection by Ali Al-Ghaili, Abbas Mohammed

“…This algorithm is based on the contrast between the values in the binarized image. …”
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An efficient intrusion detection model based on hybridization of artificial bee colony and dragonfly algorithms for training multilayer perceptrons by Ghanem, Waheed Ali H. M., Aman, Jantan, Ahmed Ghaleb, Sanaa Abduljabbar, Naseer, Abdullah B.

“…This study proposes a new binary classification model for intrusion detection, based on hybridization of Artificial Bee Colony algorithm (ABC) and Dragonfly algorithm (DA) for training an artificial neural network (ANN) in order to increase the classification accuracy rate for malicious and non-malicious traffic in networks. …”
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An enhancement of classification technique based on rough set theory for intrusion detection system application by Noor Suhana, Sulaiman

“…An Intrusion Detection System (IDS) is capable to detect unauthorized intrusions into computer systems and networks by looking for signatures of known attacks or deviations of normal activity. …”
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Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm by Arif, Hanafi, Sulaiman, Harun, Enggari, Sofika, Rani, Larissa Navia

“…It provides an algorithm to the discovery of error and duplicates entries in the data sets of existing data warehouse. …”
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Hereditary ratio of adolescent to parent based on lips analysis using canny edge detection / Nor Shamimi Kharuddin by Kharuddin, Nor Shamimi

“…This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Canny edge detection is considered to be the ideal edge detection algorithm for images that are corrupted with white noise. …”
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Automated face localization and facial features detection using geometric information by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Karthigayan, M., Sugisaka, M., Hazry, Desa, Dr., Ibrahim, Z.

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Energy detection for spectrum sensing in OFDM-based cooperative and non-cooperative radio networks by Salman, Emad Hmood

“…Next, we developed a Constant Global False Alarm Rate (CGFAR) with Constant Global Detection Rate (CGDR) algorithm to mitigate the Cooperative SS (CSS) requirements. …”
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Facial features for template matching based face recognition by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Tan, Ching Seong, Dr.

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Improved Switching-Basedmedian Filter For Impulse Noise Removal by Teoh, Sin Hoong

“…Next, in the noise detection stage, in addition to the originally proposed intensity distance differential approach, the new method includes intensity height differential approach to reduce false detection rate. …”
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FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems by Alansi, M., Elshafiey, I., Al-Sanie, A., Mabrouk, A.

“…Real-time based implementation of MUD systems has the potential to play a major role in next-generation communication systems.…”
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Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

“…One of the security challenges in Software Defined networking (SON) is Distributed denial of service (DDoS) attacks that overwhelm the controller and consume its resources making it unreachable effecting the connectivity throughout the entire network. To detect and mitigate this attack at its early stages, an entropy-based DDoS attack detection and mitigation algorithm was proposed. …”
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Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak by Abd Razak, Hana'

“…Towards achieving better detection in real-time environment, colour pixel-based images were trained on five pre-trained CNNs using transfer learning algorithm. …”
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A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom, Sampe, Jahariah

“…In accordance with the result, this article proposes a novel chew count estimation based on particle swarm optimization (PSO). First, the base of the algorithm is developed based on counting the peak of the chewing signal. …”
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Panoramic image matching method for uav remote sensing based on surf algorithm by Awisqarni Nah Wan

An optimal mesh algorithm for remote protein homology detection by M. Abdullah, Firdaus, M. Othman, Razib, Kasim, Shahreen, Hashim, Rathiah, Hassan, Rohayanti, Asmuni, Hishammuddin, Taliba, Jumail

“…Next, a refinement algorithm was applied on the protein sequences to reduce misalignments. …”
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Attack graph construction for enhancing intrusion prediction based on vulnerabilities metrics by Al-Araji, Zaid Jasim Mohammed

“…The attack surface for hackers is growing as more devices are linked to the internet. The next-generation cyber defence concentrating on predictive analysis seems more proactive than existing technologies based on intrusion detection. …”
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Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff by Mohd Yusoff, Mohd Izhan

“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
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Comparison of UAV flying height parameter for crack detection applications / Wan Nurdayini Batrisyia Wan Ghazali by Wan Ghazali, Wan Nurdayini Batrisyia

“…Aerial photographs were taken using UAV at various heights and the images were then rectified to get the orthoimages. Next, the DoG algorithm was applied for the detection of visible cracks, and the results were compared with manually outlined cracks to determine the degree of the algorithm’s credibility. …”
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