Search Results - (( next detection path algorithm ) OR ( java application customization algorithm ))
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1
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The suggested algorithm outperforms the competition in terms of improving path cost, smoothness, and search time. …”
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2
Attack graph construction for enhancing intrusion prediction based on vulnerabilities metrics
Published 2023“…These metrics use network resources to determine the number of vulnerabilities and the network's weakest path. This work aims to generate a faster and less complexity attack graph and enhance the attack graph analysis to improve the detection and prediction of the attack, the attack's next step, and discover the weakest path that an attacker might use. …”
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3
Attack prediction to enhance attack path discovery using improved attack graph
Published 2022“…The next-generation cyber defense that relies on predictive analysis is more proactive than existing technologies that rely on intrusion detection. …”
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4
Safe avoidance path detection using multi sensor integration for small unmanned aerial vehicle
Published 2018“…In the experiment conducted, we successfully detect and create a safe avoidance path for both situations. …”
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Proceeding Paper -
5
Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle
Published 2017“…In the experiment conducted, we successfully detect and determine a safe avoidance path for the UAV on 6 different sizes and textures of the obstacles including textureless obstacles…”
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6
Implement edge pruning to enhance attack graph generation using the naïve approach algorithm
Published 2024“…The attack surface for hackers is growing as more devices are linked to the internet. The next generation cyber defence concentrating on predictive analysis seems more proactive than existing technologies based on intrusion detection. …”
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7
Safe avoidance region detection for unmanned aerial vehicle using cues from expansion of feature points
Published 2024“…A robust system should be able to not only detect obstacles but the free region for the avoidance path as well. …”
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8
STUDY OF BEHAVIOUR-BASED NAVIGATION FOR INDOOR MOBILE ROBOT
Published 2020“…In the next phase of the project, we will be building indoor mobile robot by installation of all components, designing of beahviour-based algorithms, circuit designing, several rounds of testing in indoor maze-like structure to study three selected beahviours of autonomous navigation.…”
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9
Real time tracking in 3D space by robotic vision
Published 2007“…The tracking is based on passive detection using live TV imaging. The target coordinates are determined by an image processing technique and non-linear prediction algorithm. …”
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10
Void avoidance opportunistic routing density rank based for underwater sensor networks
Published 2021“…However, the OR algorithm had also suffered from as higher traffic load for selection next forwarding nodes in the progression area, which suppressed the redundant forwarding packet and caused communication void. …”
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Totally opportunistic routing algorithm for underwater wireless sensor network
Published 2019“…The unreliable communication environment of UWSN and the existence of a void node in the routing path improves the chances of not receiving data on the designated next-hop forwarder. …”
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13
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…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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14
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…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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15
Development of mapping methods for seagrass meadows in Malaysia by using landsat images
Published 2015“…The next study was focused on assessment of the geometric and radiometric fidelity of images reconstructed by three potential gap-filling methods: (1) Geostatistical Neighbourhood Similar Pixel Interpolator (GNSPI), (2) Weighted linear regression algorithm integrated with Laplacian prior regularization, and (3) Local Linear Histogram Matching methods. …”
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