Search Results - (( data implication from algorithm ) OR ( data realization path algorithm ))
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Development of Path Loss Models for Smooth and Convex Surfaces Terrains in Malaysian Environment
Published 2004“…The UPMPL program provides the utility for calculating the signal characteristics of radio propagation paths and is realized in the run time format version. …”
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Thesis -
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A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…Therefore, controller is used for navigation before and after approaching obstacles. Path planning algorithm in this project provides the best path to avoid the obstacle and create temporary new waypoints within split seconds. …”
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Monograph -
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The enhanced fault-tolerant AODV routing protocol for Wireless Sensor Network
Published 2010“…We design and implement a backup route algorithm by creating a backup path for every node in the network. …”
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Proceeding Paper -
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…The best algorithm will not be the same for all the data sets. …”
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Book Section -
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Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel
Published 2016“…In this study a new technique is developed where the Ga only read on the specific scratch line without considering the whole image. To realize this, automatic cropping algorithm is developed to detect the region of interest and interpret the Ga value. …”
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Application Of Bibliometric Analysis on Root Growth Algorithm
Published 2024“…An article reviewed and analyzed bibliographic data on metaheuristics but is not specific on the topic of root growth algorithm. …”
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Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…Types of attacks can be Ping of Death, flooding, remote-controlled attacks, UDP flooding, and Smurf Attacks. Attack data was obtained from the ClaMP dataset, which has an unbalanced data set, and has very high noise, so it is necessary to analyze data packets in network logs and optimize feature extraction which is then analyzed statistically with machine learning algorithms. …”
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Algoritma pendaraban nombor perpuluhan dari perspektif pelajar Tingkatan Satu
Published 2001“…This study discusses the algorithms in multiplication involving decimal numbers from the perspectives of Form One students. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…Preprocessing removes noise from text data, normalizes sentiment word lists and undertakes temporal transformation. …”
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A Method for Mapping XML DTD to Relational Schemas In The Presence Of Functional Dependencies
Published 2008“…To approach the mapping problem, three different components are explored: the mapping algorithm, functional dependency for XML, and implication process. …”
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Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
Published 2024“…Following a thorough examination of numerous algorithms, CNN was determined to be the best effective method for age recognition from facial features due to its ability to automatically extract important data. …”
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Agreement options for negotiation on material location decision of housing development
Published 2020“…Social implications: The satisficing algorithm of the coalition will satisfy all stakeholders. …”
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Prediction of payment method in convenience stores using machine learning
Published 2023“…The Random Forest algorithm was employed due to its robustness in handling complex, high-dimensional data, and its ability to provide reliable predictions. …”
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Conference or Workshop Item -
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Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…Using felid presence-absence data from three study regions in Southeast Asia (mainland, Borneo and Sumatra), we tested the performances of SDMs by implementing four modelling frameworks: GLM and RF with bootstrapped and non-bootstrapped training data. …”
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Ethical implications of artificial intelligence in nursing care: a systematic literature review from an Islamic perspective
Published 2025“…The synthesis identified three primary ethical themes: 1) Safety, with subthemes of data privacy, misuse, algorithm bias, and physical safety; 2) Human element, focusing on trust, empathy, and human touch; and 3) Autonomy and informed decision-making. …”
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
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Gender classification on skeletal remains: efficiency of metaheuristic algorithm method and optimized back propagation neural network
Published 2020“…This study used 1,538 data samples from Goldman Osteometric Dataset which consisted of femur, humerus and tibia parts. …”
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