Search Results - (( java application customization algorithm ) OR ( chain generation method algorithm ))

A hybrid addition chain method for faster scalar multiplication by Mohamad Afendee, Mohamed, Mohamad Rushdan, Md Said

“…Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. …”
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A hybrid addition chain method for faster scalar multiplication by Mohamed, Mohamad Afendee, Md. Said, Mohamad Rushdan

“…Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. …”
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

“…Taguchi was used to optimize the algorithms parameters. While there was no benchmark in the literature, some numerical examples were generated to show the performance of the algorithms for both Euclidean and Square Euclidean distances while some case studies were also considered.…”
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Optimized placement, sizing, and selection of distributed generation using the salp swarm algorithm by Mat Yasin, Zuhaila, Mohammad Noor, Siti Zaliha, Hassan, Elia Erwani, M. Shami, Tareq

“…The salp swarm algorithm (SSA) was introduced as a method for efficiently selecting the optimal location, size, and type of distributed generation (DG) in a distribution system. …”
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Integrated supply chain planning under uncertainty using an improved stochastic approach by Mohammadi Bidhandi, Hadi, Mohd Yusuff, Rosnah

“…The surrogate constraints method will be utilized to acceleration of the decomposition algorithm. …”
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Autonomous mobile robot: Path planning using backward chaining by I.M., Nawi, M.A.S.A., Rahim

“…This project concerns the design and fabrication of the Autonomous Mobile Robot (AMR) prototype, utilizing backward chaining as a mainframe in helping the robot to generate a self-understanding of the area of work and mobilization to a destination desired by the user. …”
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A modified weight optimisation for higher-order neural network in time series prediction by Husaini, Noor Aida

“…Hence, motivated by the advantages of those Modified Cuckoo Search (MCS), the improvement of the MCS called Modified Cuckoo Search-Markov chain Monté Carlo (MCS-MCMC) learning algorithm is proposed for weight optimisation. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems by Mohammed Ahmed, Adeeb Ali

“…The proposed Low–complexity iterative algorithm for antenna selection and transmission power helped to choose an accurate number of active RF chains to reduce circuit power consumption, and minimize the reuse of pilot sequences to improve channel estimation. …”
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Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof by Mohd Yusof, Nor Azeala

“…The output data sequences are generated from seven different data categories. Unfortunately, the failed test results for Cipher Block Chaining Mode (CBCM), Strict Key Avalanche (SKA), High Density Key (HDK), and Random Plaintext Random Key (RPRK) data categories indicate that 3D-AES produced non-random output binary sequences. …”
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Second law considerations in fourier heat conduction of a lattice chain in relation to intermolecular potentials by Christopher, G.J.

“…For these harmonic potentials, it appears from the simulation results that steady state solutions exist utilizing non-synthetic thermostats that couple not just the two particles at the extreme ends of the lattice chain, but to a control volume of N particles located at either ends of the chain that does not accord with the unique analytical solutions that obtains for single particle thermostatting at the ends of the lattice with a di�erent thermostatting algorithm that utilizes coupling coe�cients. …”
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Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga by Mwenge , Mulenga

“…Consequently, the techniques for combining existing normalisation methods, namely feature extension, chaining and stacking were proposed in the research. …”
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Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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A preliminary framework of measuring music attractiveness based on facial beauty theory by Hoo, Yong Leng, Mohd Norowi, Noris, Jantan, Azrul Hazri

“…Since the advent of modern computing, various methods were introduced to help music composition, such as Markov Chain (MC), Genetic Algorithm, Knowledge-Based system, and Cellular Automata. …”
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Fault detection and diagnosis using rule-based support system on fatty acid fractionation column by Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

“…Identification of causes, consequences and suggested actions for each deviation assisted by Hazard and Operability Study (HAZOP) analysis are generated into rule-based algorithm. Forward chaining strategy is used to interpret the rule-based system. …”
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Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems by Salh, Adeeb, Audah, Lukman, Abdullah, Qazwan, M. Shah, Nor Shahida, A. Hamzah, Shipun, Nordin, Shahilah, Farah, Nabil

“…This formulates the optimization problem of joint optimal antenna selection, transmits power allocation and joint user selection to mitigate inter-cellinterference in downlink multi-cell massiveMIMO systems under minimized reuse of pilot sequences based on a novel iterative low-complexity algorithm (LCA) for Newton’s methods and Lagrange multipliers. …”
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Energy-efficient power allocation and joint user association in multiuser-downlink massive MIMO system by Salh, Adeeb, Nor Shahida, Mohd Shah, Audah, Lukman, Abdullah, Lukman, Jabbar, Waheb A.

“…The computational efficiency to maximize EE power allocation is very important to fifth generation networks (5G). The study aims to maximize the non-convex EE in a downlink (DL) massive MIMO system using a proposed energy-efficient low-complexity algorithm (EELCA) that guarantees optimal power allocation solution based on Newton’s methods and joint user’s association based on the Lagrange’s decomposition method. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…The Moran I index using distance decay method to generate the weight gave a spatial autocorrelation of -0.33. …”
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Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope by Hossain, Md Naeem, Rahim, Md. Abdur, Rahman, Md Mustafizur, D., Ramasamy

“…This review introduces a novel taxonomic framework that provides a holistic perspective on AI integration into the automotive sector, focusing on next-generation AI methods and their critical implementation aspects. …”
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Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks by Atiewi S., Al-Rahayfeh A., Almiani M., Abuhussein A., Yussof S.