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Intelligent DNA signature detection for internet worms by Ghazali, Osman

“…Active worms spread in an automated fashion flooding the Internet in a very short time.Slammer worm infected more than 90% of vulnerable machines within 10 minutes on January 25th, 2003.Hence it is necessary to monitor and detect the worms as soon as they are introduced to minimize the damage caused by them.This project concentrates on developing an anti-scanning worm detection system that can automatically detect and control the spread of internet scanning worms without any manual intervention.The Intelligent Failure Connection Algorithm (IFCA) developed in this project can detect both stealth and normal worms within a short time.Experiments conducted as part of the evaluation shows that IFCA detects a worm within two scanning cycles of the worm.This is faster than any of the currently available algorithms or mechanisms reported in the literature.The IFCA uses Artificial Immune System (AIS) for the purpose of monitoring and detecting the worms.The Traffic Signature Algorithm (TSA) developed in the project captures the traffic signature of the worm from the infector when it sends the traffic to the victim.The Intelligent DNA Signature Detection Algorithm (IDNASDA) algorithm works by breaking an infection session into different infection phases, each phase containing a number of different traffic such as Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), or User Datagram Protocol (UDP).Finally it converts the traffic signature to DNA signature.The tests carried out show that the IDNASD could detect DNA signature for MSBlaster worm.…”
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Automatic search for break points in printed circuit board using intelligent visual system based on Dsp algorithms by Syed Abu Bakar, Syed Abdul Rahman

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Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza by Ghulam , Murtaza

“…For BrC detection, an efficient and reliable model namely Ensemble BrC Detection Network (EBrC-Net) and three misclassification reduction (McR) algorithms are developed. …”
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Radiometric partial discharge location detection in medium voltage switchgears by Kannappan M., Chakrabarty C.K., Hock G.C.

“…This paper focuses on the development of methods/algorithm to accurately locate and detect these PD signals within the 3D space of a medium voltage (MV) switch gear. …”

COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

“…The main goal is to increase the diagnostic accuracy rate. In this thesis we developed a computer aided system for the diagnosis and detection of breast cancer using curvelet transform. …”
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Detecting rogue access point (RAP) using simple network management protocol (SNMP) by Ahmad, Amran, Hassan, Suhaidi

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Pyroelectric infrared sensor for intruder detection by Moghavvemi, M., Seng, L.C.

“…PIR sensor is used to detect the presence of human in a protected room. …”
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Detection and restoration of cracked digitized paintings and manuscripts using image processing by Farajalla Ali, Nawafil Abdulwahab, Taha Alshaikhli, Imad Fakhri, Hassan, Raini

“…The purpose of the developed algorithm is to identify cracks using the thresholding operation, which was the output of the top-hat transform morphology. …”
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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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Small target detection of Unmanned Aerial Vehicles based on GDWNet in the digital economy by Zhang, Yan, Zhang, Jing, Mustaffa, Mas Rina

“…In the era of the rapid development of the digital economy, unmanned aerial vehicle (UAV) aerial imagery offers the advantage of a high-altitude perspective, providing a broader field of view. …”
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Sedentary sitting posture recognition with YOLOv3 algorithm / Muhammad Amin Mohamad Razali by Mohamad Razali, Muhammad Amin

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Development Of A Portable Community Video Surveillance System by Abd Gani, Shamsul Fakhar, Kadmin, Ahmad Fauzan, Hamid, Mohd Saad, Hamzah, Rostam Affendi, Kong, Hui Fen

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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

“…Each respondent underwent two mathematical game sessions using a smartphone with a two-minute break in between each session. From the data analysis using WEKA software, the production rules classifier (PART) is found to be the most accurate classification algorithm in classifying the emotion which yields the highest precision percentage of 99.6% compared to J48 (99.5%) and Naïve Bayes (96.2%). …”
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Impact of multiplay transmission in mobile WIMAX using overlay scanning: article / Akmarya Syukhairilnisah Mohd Akhir by Mohd Akhir, Akmarya Syukhairilnisah

“…The mobile WiMAX air interface utilizes orthogonal frequency division multiple access (OFDMA) as the preferred multiple-access method in the downlink (DL) and uplink (UL) for improved multipath performance and bandwidth scalability.All simulations are run using MATLAB software to develop a new Overlay Scanning Mechanism (OSMA) algorithm. …”
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Object tracing from synthetic fluid spray through instance segmentation by Md Refat Khan, Pathan

“…To address this, a method using two region-based R-CNN models named Mask R-CNN and BMask R-CNN and two transformer-based models named PatchDCT and FastInst has been developed to detect and segment individual droplets from synthetic liquid spray images. …”
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Impact of multiplay transmission in mobile WIMAX using overlay scanning / Akmarya Syukhairilnisah Mohd Akhir by Mohd Akhir, Akmarya Syukhairilnisah

“…All simulations are run using MATLAB software to develop a new Overlay Scanning Mechanism(OSMA) algorithm. …”
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Classification of Immunosignature Using Random Forests for Cancer Diagnosis by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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Robust and reliable dual the classification system with error compensation module by Ahmad Nasiruddin, Ab Razak

“…The system uses treadle sensors to map tires and count the number of axles while the optical barrier is used to detect the presence of vehicle. However, since the short lifecycle because of wear and tear due to the nature of them being treaded by the vehicles, the treadle breaks quickly and needs frequent replacement. …”
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