Search Results - (( developing memory information algorithm ) OR ( java optimization path algorithm ))
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Thesis -
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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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Energy efficient path reconstruction in wireless sensor network using iPath
Published 2019“…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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Visdom: Smart guide robot for visually impaired people
Published 2025“…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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Final Year Project / Dissertation / Thesis -
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An efficient fault syndromes simulator for SRAM memories
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Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama
Published 2016“…In regards to the ability improvements in terms of memory capacity and noise tolerance, the quantum-inspired hetero-association models with batch/incremental learning algorithm are developed based on QHAM. …”
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Taxonomy of memory usage in swarm intelligence-based metaheuristics
Published 2019“…Based on the usage of memory, metaheuristics can be classified into algorithms with memory and without memory (memory-less). …”
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Direct approach for mining association rules from structured XML data
Published 2012“…The focus of this study is to propose an enhancement on memory consumption by reducing the number of candidates generated for the existing FLEX algorithm which will reduce the amount of memory needed to execute the algorithm. …”
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New Quasi-Newton Equation And Method Via Higher Order Tensor Models
Published 2010“…Moreover, a new limited memory QN method to solve large scale unconstrained optimization is developed based on the modified BFGS updated formula. …”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory
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Book Chapter -
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Securing password authentication using MD5 algorithm
Published 2014“…Process of authentication can be defined as developing a unique mapping process from given password to some other unique information in a defined domain. …”
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Undergraduates Project Papers -
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Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning
Published 2018“…Quantum-inspired computing is an emerging research area, which has significantly improved the capabilities of conventional algorithms. In general, quantum-inspired hopfield associative memory (QHAM) has demonstrated quantum information processing in neural structures. …”
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Boyer-Moore horspool algorithm used in content management system of data fast searching
Published 2017“…After a deep view on few fast searching algorithm as Boyer-Moore algorithm, Boyer-Moore Horspool algorithm, Brute-Force Algorithm, Knuth-Morris-Pratt algorithm and Rabin-Karp algorithm, this research paper chooses Boyer-Moore Horspool algorithm to used in the content management system in term of data Fast Searching. …”
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Towards developing a web application with text filtering for FTMSK : A case study for electronic exchange board / Sumardi Shukor
Published 2006“…Hence, this study is conducted to identify potential techniques can be used to mask the offensive words and a new textual filtering algorithm will be developed to resolve this problems. …”
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Embedded vision system development using 32-bit Single Board Computer and GNU/Linux
Published 2011“…The increasing affordability of powerful processors and memory chips, availability of real-time operating systems, low complexity intelligent algorithms and the coming-of-age of system development software are the key factor that makes this development possible. …”
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