Search Results - (( exploring affective computing algorithm ) OR ( java implementation path algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s 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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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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An empirical study of double-bridge search move on subset feature selection search of bees algorithm
Published 2017“…The algorithm performs combination of exploitative neighbourhoods and random explorative search. …”
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A framework for design of automated lecture timetabling using memetic algorithm / Zarina Zainul Rashid, Roslan Sadjirin and Norhafizah Hashim
Published 2009“…This study describes the framework design of an automated lecture timetabling in educational institutions using soft computing techniques. In this paper, the writerspresent the use of memetic algorithm in the framework design with affective explorative ability to model huge search space. …”
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Novel Metaheuristic Hybrid Spiral-Dynamic Bacteria-Chemotaxis Algorithms for Global Optimisation
Published 2015“…Bacteria chemotaxis on the other hand, is the most prominent strategy in bacterial foraging algorithm. However, the incorporation of a constant step-size for the bacteria move- ment affects the algorithm performance. …”
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A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM
Published 2018“…The main disadvantage of metaheuristic algorithm is no guarantee that a global optimum solution due to the stochastic characteristic driven by the mechanism of exploration and exploitation. …”
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ASIC Layout Design-Space Exploration of Pan-and-Tompkins Pre-Processing Algorithm for High Efficiency Electrocardiogram Monitor
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Analysis of Microscopic Blood Samples for Detecting Malaria
Published 2013“…The conventional method in diagnosing the blood disease is by using manual visual examination of microscopy blood smears. However, a computer-assisted system can be designed to assist in malaria diagnosis by employing image processing, analysis and feature recognition algorithm. …”
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Detection of mental disorders based on the analysis of emotion, facial expressions and facial movements in a video stream
Published 2025“…With help of real-time edge computing, our system enables scalable, privacy-preserving mental health monitoring, underscoring the transformative potential of adaptive affective computing and remote diagnostics.…”
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Comprehensive review of the development of the harmony search algorithm and its applications
Published 2019“…First, we describe the HS algorithm and present how its parameters affect algorithm performance. …”
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A population division based multi-task sine cosine algorithm for test redundancy reduction optimization
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Chaos search in fourire amplitude sensitivity test
Published 2012“…This paper explores the characterization of learning functions involved in FAST and derives the underlying dynamical relationships with chaos search, which can provide new learning algorithms. …”
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Chaos Search in Fourier Amplitude Sensitivity Test
Published 2012“…In FAST, search curves are defined through learning functions, selection of which will heavily affect the global searching capacity and computational efficiency. …”
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