Search Results - (( developing service context algorithm ) OR ( java evolution optimization algorithm ))

Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

“…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
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Enhanced privacy protection from location dependent attacks in location based services using spatial cloaking by Saravanan, Perumal Shanthi, Balasundaram, Sadhu Ramakrishnan

“…Use of Internet enabled mobile devices has facilitated the rapid development of location-based services (LBS). LBS allow users to access useful information such as the nearest ATM, temple, and so on. …”
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Enhanced Privacy Protection Against Location-Dependent Attacks in Location Based Services Using Spatial Cloaking by Saravanan, Perumal Shanthi, Balasundaram, Sadhu Ramakrishnan

“…Most of the existing location cloaking algorithms are only concerned with snapshot user locations and cannot effectively prevent users from location-dependent attacks when user location-contexts are continuously updated. …”
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Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm by Mantoro, Teddy, Olowolayemo, Akeem Koye

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CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK by NURSHAZLINA SUHAIMY

“…In order to verify the advantages of the proposed algorithm, it is compared with simulation results without contextual aware algorithm. …”

Pet hero pet care services mobile application recommendation system using content-based filtering / Farah ‘Aliya Jasmin by Jasmin, Farah ‘Aliya

“…Therefore, the introduction of the Pet Hero Pet Care Services Mobile Application using Content-Based Filtering techniques with TF-IDF algorithm can help overcome these challenges. …”
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CYCLOSTATIONARY FEATURES OF PAL TV AND WIRELESS MICROPHONE FOR COGNITIVE RADIO APPLICATIONS by ALHASSAN MOSSA, ALFATEH MOHAMMED

“…In order to do so, we develop the co-existence scenario with three cases according to geographical positions of primary services and secondary service. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory by Kamahazira Binti Zainal

“…Consolidation of this theory with other procedures such as risk assessment and text mining has produced a model namely as Risk Concentration for Context Assessment or RiCCA. This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”

An immunological-based simulation: A case study of risk concentration for mobile spam context assessment by Zainal K., Mohd Zalisham Jali

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Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

“…The research seeks to identify key challenges with the goal of developing effective approaches in 6G HetNets. In this context, resource management aspects such as user association, spectrum allocation, and power allocation are studied. …”
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Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Muzahid, Abu Jafar Md, Sarker, Md Murad Hossain, Miah, M. Saef Ullah, Bhuiyan, Md Khairul Bashar, Rahimi, Nick, Bairagi, Anupam Kumar

“…After that, we developed a priority-based fair scheduling (PBFS) algorithm to schedule jobs so that they have access to the required resources at optimal times. …”
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Muslim Friendly Hotel (MFH) in Malaysia: Understanding the Market by Nurul Azhani Mohd Azmin, Zatul Iffah Mohd Fuza, Nor Zafir Md Salleh

Adaptive resource allocation for reliable performance in heterogeneous distributed systems. by Hussin, Masnida, Abdullah, Azizol, K. Subramaniam, Shamala

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Withstanding the effect of Industry 4.0: the role of high performance work system and management philosophy by Meddour, Houcine, Abdulssalaam, Iyanda Ismail, Abdul Majid, Abdul Halim

“…Coping with challenges posed by the extant IR 4.0 demands that small businesses should provide ‘added-value’ services, and products, or high quality and innovative products and services which could be possible through strategic development of employees. …”
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Evaluation approach for efficient countermeasure techniques against denial-of-service attack on MPSoC-based IoT using multi-criteria decision-making by Al-Hchaimi, Ahmed Abbas Jasim, Sulaiman, Nasri, Mustafa, Mohd Amrallah, Mohtar, Mohd Nazim, Mohd Hassan, Siti Lailatul, Muhsen, Yousif Raad

“…Context: Denial-of-Service Attack countermeasure techniques (DoS A-CTs) evaluation is a Multi-criteria decision-making (MCDM) problem based on different MPSoCs of IoT platform design, performance, and design overhead. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

“…The proposed algorithm aimed at reducing cloud storage cost by strategically determining the best locations for evaluators within a network of nodes for efficient monitoring, particularly in surveillance contexts indicated by the mention of CCTVs. …”

Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration by Wang, Shujie, Li, Ning, Liu, Niwen, Habes, Mohammed

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Multi-dimensional networking and distributed computing services by Pathan, Al-Sakib Khan

“…The multi-dimensional research issues include wireless and mobility problems, routing protocols and algorithms, resource and service location protocols, performance evaluations of networking systems, ubiquitous systems, context aware ubiquitous environment, mechanisms to improve throughput over wireless links, network management and network security, and other related areas. …”
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Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

“…Among these, Naive Bayes achieved the highest performance with an accuracy of 93.67% and an F1-score of 93.54%, making it the most effective model for sentiment classification in this context. The results were visualized using an interactive dashboard developed in Power BI, allowing users to explore sentiment trends, keyword frequency, and review distributions by gender, platform, and time. …”
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Fakebuster: fake news detection system using logistic regression technique in machine learning by Mokhtar, Muhammad Syahmi, Jusoh, Yusmadi Yah, Admodisastro, Novia, Che Pa, Noraini, Amruddin, Amru Yusrin

“…Fake news can be certainly solved by the aid of artificial intelligence which includes machine learning algorithms. The objective of this project is to propose a fake news detection model using Logistic Regression, to evaluate the performance of Logistic Regression as fake news detection model and to develop a web application that allows entry of a news content or news URL. …”
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