Search Results - (( developing low context algorithm ) OR ( java implication based algorithm ))

Machine learning algorithms in context of intrusion detection by Mehmood, T., Rais, H.B.Md.

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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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Development of a scalable video compression algorithm by Khalifa, Othman Omran, Issa, Sinzobakwira, Olanweraju, Rashidah Funke, Al Khazmi, El Mahdi A

“…In this paper a rate distortion optimized video frame dropping strategy which can be applied on active network nodes during high traffic intensity for H.264/AVC was developed. To improve the perceptual quality of coded video in a computation-constrained scenario, through controlling per-frame complexity, a rate-distortion optimised (RDO) rate control algorithm for encoding low bit rate video helped to achieve the target bitrates and PSNR using Lagrangian multiplier function. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Improved sparrow search algorithm for test redundancy reduction by Rahman, Mizanur, Kamal Z., Zamli, Kader, Md. Abdul

“…However, the SSA still has some weaknesses that prevent its further development. These weaknesses include low population diversity, limited local searchability, and a tendency to easily slip into local optima. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

“…The cluster generation results showed that, the BBSI accurately selected the best four-band combination generating very low mixed classes of clusters. In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
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New Evolving Fuzzy System Algorithms Using Dynamic Constraint by Ahme, Md. Manjur

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Interpretable hybrid models of Kolmogorov–Arnold Networks and transformer for mental health classification in low-resource languages: a Malay social media case study by Ahmad, Zaaba

“…This research contributes to computational linguistics and mental health informatics by enhancing the classification of DAS in Malay social media, a linguistically diverse and low-resource context marked by extensive colloquial usage. …”
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Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Mohamed, Raihani

“…On the other hand, an evolutionary algorithm has proven its effectiveness in searching the best feature subsets. …”
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Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina, Manshor, Noridayu, Al-Hchaimi, Ahmed Abbas Jasim, Ridha, Hussein Mohammed

“…The main idea of the proposed method is to develop a prediction model, speci‚cally an Arti‚cial Neural Network (ANN) optimized using the Guaranteed Convergence Arithmetic Optimization Algorithm (GCAOA-ANN), for predicting the utilized routing algorithm in NoC-based MPSoC platform during the DSE process. …”
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

“…Given the multitude of components to manage, streamflow forecasting is preferable to employ an algorithm with low sensitivity to parameter variations. …”
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Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

“…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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Interferometric array planning using division algorithm for radio astronomy applications by Kiehbadroudinezhad, Shahideh

“…In the second scheme, a genetic algorithm is developed, in order to optimize a correlator array of antennas by using Genetic Algorithm (GA). …”
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context by Fakhar, Adila

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CYCLOSTATIONARY FEATURES OF PAL TV AND WIRELESS MICROPHONE FOR COGNITIVE RADIO APPLICATIONS by ALHASSAN MOSSA, ALFATEH MOHAMMED

“…Based on these features, we develop two algorithms for spectrum sensing and their performances are evaluated in comparison with energy detector which is considered as the standard simple detector. …”
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Optimising Connectivity and Energy : The Future of LoRaWAN Routing Protocols for Mobile IoT Applications by IZZAH NILAMSYUKRIYAH, BUANG, Kartinah, Zen, Syahrul Nizam, Junaini

“…These approaches have demonstrated improvements in packet delivery ratios (PDRs), latency reduction, and energy efficiency within mobile IoT contexts. Despite notable advancements, significant opportunities remain for enhancing scalability, developing hybrid solutions, applying these methodologies in real-world contexts, and implementing robust security protocols. …”
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Nikon Inc. / Muhammad Hasif Anuar by Anuar, Muhammad Hasif

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SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid by Khalid, Khairi

“…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network script and neural network error checking measures. …”
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Improving malicious detection rate for Facebook application in OSN platform by Angamuthu, Laavanya

“…Our key contribution in this part is in developing malware detection in Facebook third party application by using Naïve Bayes algorithm technique .We identify a set of features that help us distinguish malicious apps from benign ones. …”
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Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition by Muhammad Arif, Mohamad, Muhammad Aliif, Ahmad

“…The problems identified specifically pertain to the classification model, particularly in the context of the Artificial Neural Network (ANN) learning problem, leading to low accuracy in recognizing handwritten characters. …”
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