Search Results - (( developing cost context 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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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 major contribution of this work lies in the develop of Prior Evaluation Cloud Storage Cost Optimization called (PECSCO) mechanism to optimize the cloud cost with least overhead. …”

Development of some fast and efficient methods for elliptic curve scalar multiplication over prime fields by Al-Saffar, Najlae Falah Hameed

“…The proposed algorithm using NAF to represent the scalar in ECSM reduced the cost of computation of the ECSM by comparing with using the binary and NAF algorithm respectively. …”
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Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm by Ahmed Mohamed, Ahmed Haidar, Adila, Fakhar, Andreas, Helwig

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Towards Software Product Lines Optimization Using Evolutionary Algorithms by Jamil, Muhammad Abid, K Nour, Mohamed, Alhindi, Ahmed Hasan, Awang Abu Bakar, Normi Sham, Arif, Muhammad, Muhammad Aljabri, Tareq

“…This research provides a framework to compare the performance of different multi-objective Evolutionary Algorithms in software product line context. We report on the problem encoding, variation operators and different types of algorithms: Indicator Based Evolutionary Algorithm (IBEA), Non-Dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Evolutionary Algorithms based on Decomposition (MOEA/D) and Strength Pareto Evolutionary algorithm II (SPEA-II). …”
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Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm by Muhamad Rozikin, Kamaluddin, M. F. F., Ab Rashid

“…Specific optimization model and algorithm were developed to solve the problem. This intensive effort aims to reduce logistics costs and number of vehicle usage. …”
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An Email to Readable Vietnamese Text Conversion Algorithm for Use in TTS Application by Tran, D.C., Son Ha, H., Quach, L.-D., Hassan, M.F.

“…In this context, recently developed engines such as FPT.AI serves well local customers since it supports well the national language. …”
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context by Fakhar, Adila

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Modified word representation vector based scalar weight for contextual text classification by Abbas Saliimi, Lokman

“…To validate this algorithm, the modified word vectors are compared with original LLM-generated word vectors to evaluate their reflection of the intended context. …”
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An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding by Hoque M.S., Jamil N., Amin N., Lam K.-Y.

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

Detection on ambiguous software requirements specification written in malay using machine learning by Zahrin, Mohd Firdaus

“…As the result, the Random Forest algorithm is the best algorithm which is measured based on measurement metric i.e. …”
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Optimizing palm oil biomass collection: genetic algorithm approaches in solving location-routing problem by Foo, Fong Yeng, Zaitul Marlizawati Zainuddin, Hang, See Pheng

“…Hence, this research delves into the intricacy of a location-routing problem (LRP) within the context of palm oil biomass collection. The study aims to enhance the efficiency of palm oil biomass collection by identifying optimal locations for collection facilities and devising vehicle routing strategies at minimum costs. …”
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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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Modelling of home energy management system using heuristic optimization for sustainable energy utilization by Most Khadija Parvin, Ms.

“…The simulation results show that the developed models can manage power consumption and cost reduction efficiently. …”

Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model by Raja Wahab, Raja Azhan Syah

“…The algorithm development combines the frameworks from Phases 1 to 3, evaluating real and synthetic datasets. …”
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Development of an integrated model for production planning and cell formation in cellular manufacturing systems by Raminfar, Reza

“…This non-linear mixed integer mathematical model minimizes the inter-cell material handling (with respect to the different travel distances between cells), finished-goods inventory cost and machine set-up cost (considering the machine set up cost for every operation). …”
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A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia by Setiawan, Rudi

“…Building on these findings, a predictive framework is constructed by integrating machine learning algorithms with advanced optimization and data handling strategies. …”
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Load forecasting for air conditioning systems using linear regression and artificial neural networks by Zainudin, Zakaria Zikri, Yusoff, Siti Hajar, Gunawan, Teddy Surya, Mohamad, Sarah Yasmin, Chowdhury, Israth Jahan, Mohd Sapihie, Siti Nadiah

“…These findings suggest significant potential for reducing energy consumption, lowering operational costs, and improving equipment maintenance. Implementing machine learning algorithms in this context underscores their value in enhancing the efficiency, reliability, and cost-effectiveness of Air Handling Units (AHU) in industrial air conditioning systems.…”
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A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems by Ary, Maxsi

“…The objectives of the multi-objective VRP addressed in this study are to minimise the total travel distance and the overall transportation cost. This study developed a hybrid metaheuristic algorithm involving grey wolf optimization, symbiotic organism search, and ant colony optimization (HMGSA) to address the multi-objective VRP. …”
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