Search Results - (( java _ prevention algorithm ) OR ( programming using implication algorithm ))

Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

“…A GUI is created in a form of JAVA application to display data detected from tag. …”
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Virtual reality in algorithm programming course: practicality and implications for college students by Dewi, Ika Parma, Ambiyar, Mursyida, Lativa, Effendi, Hansi, Giatman, Muhammad, Efrizon, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…Obfuscation (Obfu) is a practice to make the programming code complicated to protect the Intellectual Property (IP) and prevent prohibited software Reverse Engineering (RE). …”
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Message based random variable length key encryption algorithm. by Mirvaziri, Hamid, Jumari, Kasmiran, Ismail, Mahamod, Mohd Hanapi, Zurina

“…Results: Attack on the key generation process was prevented because of random key generation and its dependency to input message. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

“…It is a code with double shield protection that prevents unauthorized extraction or damaging the remote database in the server side due to malicious SQL injection. …”
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Assessment of using EZ-Prog: an easy color schematic model for programming problem solving by Siti Nordianah Hai Hom, Hasnul Hadi Ibrahim, Abrizah Ibrahim, Mudiana Mokhsin, Corrienna Abdul Talib

“…The implications of this study indicate that EZ-Prog can be used in learning and teaching algorithms, especially programming problems. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach by Lai, V., Ahmed, Ali Najah, Malek, Marlinda Abdul, El-Shafie, Ahmed, El-Shafie, Amr

“…Genetic Programming (GP) algorithm is an example of an evolutionary algorithm (EA) in the field of evolutionally computation (EC) and, more broadly, in Artificial Intelligence. …”
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Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach by Lai V., Ahmed A.N., Malek M.A., El-Shafie A., El-Shafie A.

“…Genetic Programming (GP) algorithm is an example of an evolutionary algorithm (EA) in the field of evolutionally computation (EC) and, more broadly, in Artificial Intelligence. …”

An approach to improve detecting and removing cross- site scripting vulnerabilities in web applications by Hydara, Isatou

“…Most of the previously proposed approaches focused on preventing and detecting XSS attacks during runtime, after vulnerable applications are already deployed. …”
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Mitigation of shoulder-surfing attack on picture-based passwords using falsifying authentication methods / Por Lip Yee by Por, Lip Yee

“…Prototypes, simulations, observations and interviews were used as the data gathering methods. An offline FOA Java simulation was carried out to evaluate the capability of the MRA method in preventing FOA attack. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows by Zhang, Shasha, Dong, Qiming, Yasin, Megat Al Imran, Fang, Ng Chwee

“…This research holds significant implications for the fields of Communication, Radio, and Television, as it enhances content moderation strategies in emotionally charged programming through intelligent cross-media data fusion.…”
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A framework for a multi-layered security of an automated programming code assessment tool by Mohd Fadzli Marhusin, Kafli M.F.Z., Sulaiman R., Ismail S., Abdullah Z.H.

Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

“…While much research has been conducted, focusing on the development of algorithms and techniques for HAR, less emphasis was placed on the improvement of HAR research’s efficiency in terms of sensor data collection, annotation, and storage, resulting in the use of incomplete, inefficient, and time-consuming data engineering systems. …”
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Challenges of hidden data in the unused area two within executable files by Naji, Ahmed Wathik, Zaidan, A.A., Zaidan, B.B.

“…Results: The programs were coded in Java computer language and implemented on Pentium PC. …”
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Cognitive benefits of employing multiple AI voices as specialist virtual tutors in a multimedia learning environment by Liew, Tze Wei, Tan, Su Mae, Chan, Tak Jie, Tian, Yang, Ahmad, Faizan

“…To address this gap, we draw on multimedia learning and cognitive models to investigate the effects of using multiple AI voices as specialist virtual tutors for distinct programming algorithm subtopics on cognitive load and learning outcomes. …”
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Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

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Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

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Bridging Mayer’s cognitive theory of multimedia learning and computational thinking in tackling the cognitive load issues among young digital natives : a conceptual framework by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya

“…This paper provides several implications and highlights for further studies through a comprehensive and wide-ranging literature review.…”
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Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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