Search Results - (( developing small mapping algorithm ) OR ( java adaptation optimization algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. …”
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3
MapReduce algorithm for weather dataset
Published 2018“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. …”
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Research Report -
4
Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks
Published 2023“…Therefore, this paper develops a Chaotic Mapping Lion Optimization Algorithm-based Node Localization Approach (CMLOA-NLA) for WSNs. …”
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Article -
5
Labview Based Pid Algorithm Development for Z Motion Control in Atomic Force Microscopy
Published 2015“…Therefore, the main objective in this thesis is to develop a PID algorithm for Z motion control. As the scanning probe move in XY direction, if the tips has going up/down caused the laser does not stay at the center of photodetector. …”
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Final Year Project / Dissertation / Thesis -
6
A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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7
Meta-requirement mapping model
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Conference or Workshop Item -
8
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…In the hybrid scheme, the initial parameters of the modified BP neural network are optimized by using the global search ability of genetic algorithm, improved by cat chaotic mapping to enrich its optimization capability. …”
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9
ReSTiNet: An efficient deep learning approach to improve human detection accuracy
Published 2023“…. • The network is small in size but has a faster detection speed with high accuracy.…”
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ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy
Published 2023“…The validation of the proposed ReSTiNet model has been done on INRIA person dataset using the Tesla K80. â�¢ All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided. â�¢ The network is small in size but has a faster detection speed with high accuracy. …”
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11
Automatic mapping of concrete strength in structural element
Published 2006“…A portable and quick way to check and map the uniformity and the strength of concrete has been developed utilizing the use of pressure wave and signal processing techniques. …”
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12
Small target detection of Unmanned Aerial Vehicles based on GDWNet in the digital economy
Published 2025“…When applied to the UAV aerial imagery VisDrone dataset, the proposed model achieved a mean Average Precision (mAP) of 35.8%, representing a 3.1% improvement over the conventional YOLOv8s algorithm.…”
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13
Fast approach for automatic data retrieval using R programming language
Published 2017“…Thus, this work proposes a fast approach for automatic data retrieval using R, a powerful programming language for statistical and big data analysis. The developed algorithm performs data retrieval using a source file and a map file as inputs and produces a desired output file. …”
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ReSTiNet : An efficient deep learning approach to improve human detection accuracy
Published 2023“…The validation of the proposed ReSTiNet model has been done on INRIA person dataset using the Tesla K80. • All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided. • The network is small in size but has a faster detection speed with high accuracy.…”
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15
Sales prediction for Adha Station by using predictive analytics
Published 2025“…Additionally, pre-processing is conducted using the RapidMiner application prior to mapping the cleaned data with three distinct algorithms for predictive analysis: Decision Tree, Random Forest, and Multiple Linear Regression techniques. …”
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Student Project -
16
Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa...
Published 2018“…Thus, two dimensional (2D) online mapping was purposed for this research and suitable image processing technique was developed. …”
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Thesis -
17
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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18
Collision probability of one-to-many reversible mapping for IPV6 address generation
Published 2012“…The paper presents results of collision probability evaluation of a one-to-many reversible mapping between user space and IPv6 address space which is developed to improve of IPv6 addresses generation in a local area network (LAN). …”
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Proceeding Paper -
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Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa...
Published 2018“…Thus, two dimensional (2D) online mapping was purposed for this research and suitable image processing technique was developed. …”
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Book Section -
20
Algorithmic fairness in AI-driven project management for post-conflict and developing regions: a critical review and framework for context-aware AI
Published 2026“…The paper concludes by arguing that the prevailing fixation on "big data" is a critical limitation and calls for a new research direction focused on developing robust AI systems that can effectively reason with "small data" and integrate rich qualitative inputs, thereby ensuring that AI serves as a tool for equitable and sustainable development rather than a driver of a new digital divide.…”
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