Search Results - (( developing emerging field algorithm ) OR ( java implication based algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES by GANESAN, TIMOTHY

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Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

“…Therefore, the main objective of this study is to develop an algorithm that can adapt visual features of tag cloud layout styles based on personality traits of the user. …”
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems by Nor Shuhada, Ibrahim

“…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
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Applications of drones in emerging economies: a case study of Malaysia by Ab Rahman, Abdul Aziz, Wan Mohd Jaafar, Wan Shafrina, Abdul Maulud, Khairul Nizam, Mohd Noor, Norazilawati, Mohan, Midhun, Cardil, Adrian, Silva, Carlos Alberto, Che'ya, Nik Norasma, Naba, Nasrul Ikhwan

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Fingerprint frontier: the evolution of biometric security by Khalifa, Othman Omran

“…This book acts as a compass to navigate the evolving landscapes of fingerprint biometrics and providing insights on the developments and innovations fueling the future. Each chapter acts as a portal, encouraging reader to explore the realms of fundamental understanding, advanced recognition algorithms, database administration complexities, and the numerous security problems that characterize the field of fingerprint biometrics. …”
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MBIST implementation and evaluation in FPGA based on low-complexity March algorithms by Jidin, Aiman Zakwan, Mispan, Mohd Syafiq, Hussin, Razaidi, Weng, Fook Lee

“…This paper presents the implementation and validation of MBIST controllers that applied the March AZ1 and March AZ2 algorithms in a Field-Programmable Gate Array (FPGA) device. …”
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III by Liu, Jiajia, Zainudin, Edi Syams, As'arry, Azizan, Ismail, Mohd Idris Shah

“…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis by Nur Hidayah, Azmidi, Noryanti, Muhammad, Rozieana, Khairuddin

“…Employing an analysis of publications, this study maps the historical development, key terms and the most dominant works in this field. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Applications of drones in emerging economies: a case study of Malaysia by Abdul Aziz, Abdul Rahman, Wan Shafrina, Wan Mohd, Hj. Mohd. Noor, Norzailawati, Midhun, Mohan, Adrian, Cardill, Carlos Alberto, Silva, Nik Norasma, Cik ya, Nasrul Ikhwan, Naba

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HDRA: A Haybird Data Reduction and Routing Algorithm by Hussein, M. K., Marghescu, Ion, A. M. Alduais, Nayef

“…Presently, wireless sensor networks (WSNs) are emerging as a vibrant field of research due to various challenging aspects such as energy consumption, routing strategies, effectiveness, among others. …”
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Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network by Al-Mayouf, Y.R.B., Ismail, M., Abdullah, N.F., Wahab, A.W.A., Mahdi, O.A., Khan, S., Choo, R.K.K.

“…Vehicular ad hoc networks (VANETs) are considered an emerging technology in the industrial and educational fields. …”
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Static Facial Expression Recognition in the wild: Taxonomy, trends and challenges by Jing-Zhi Koay, Jason Teo

“…Different machine learning techniques have been applied to this research field with promising outcomes through the application of increasingly more powerful machine learning algorithms. …”
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Grover's Algorithm Extensions - A Systematic Literature Review by Amirul Asyraf Zhahir, Siti Munirah Mohd, Mohd Ilias M Shuhud, Nurhidaya Mohamad Jan, Bahari Idrus, Muhammad Mus-'Ab Anas Mohd Anas

License plate detection using deep learning object detection models by Leong, Kar Wan

“…In the past, this is usually done by traditional hand-crafted feature algorithms i.e., SIFT, SURF, HOG, BRIEF, and ORB. These algorithms have been successful in their field however they do possess some downsides due to their nature. …”
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HDRA: A Haybird Data Reduction and Routing Algorithm by M. K. Hussein, M. K. Hussein, Ion Marghescu, Ion Marghescu, Nayef A. M. Alduais, Nayef A. M. Alduais

“…Presently, wireless sensor networks (WSNs) are emerging as a vibrant field of research due to various challenging aspects such as energy consumption, routing strategies, effectiveness, among others. …”
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

“…Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. …”
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A hybrid algorithm of source localization based on hyperbolic technique in WSN by Kabir, H., Kanesan, J., Reza, A.W., Ramiah, H.

“…The localization is embedded in battle-field surveillance, traffic alert, emergency call 911 (E911), resource allocation and mitigation of disaster effect. …”
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm by Mohammed Abdullah, Abdullah Nasser

“…Interaction, or t-way, testing, where t indicates the interaction strength, is an approach to generate test suite for detecting fault due to interaction. In line with the emerging field called Search based Software Engineering, many recently developed t-way strategies have adopted meta-heuristic algorithms as the basis of their implementations such as Simulated Annealing, Genetic Algorithm, Ant Colony Optimization Algorithm, Particle Swarm Optimization, Harmony Search and Cuckoo Search, owing their superior performance in term of test size reduction as compared to general computational based strategies, such as General t-way, Test Vector Generator, In Parameter Order General, Jenny, and Automatic Efficient Test Generator. …”
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