Search Results - (( using active drops algorithm ) OR ( java application sensor algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
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Monograph -
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RED, GRED, AGRED congestion control algorithms in heterogeneous traffic types
Published 2013“…The performance metric used to show the analysis of these algorithms with mentioned distributions is Packet Loss (Pl).Results of simulation show that each algorithm performed a fair dropping of data packets without considering of their types.…”
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Red, gred, agred congestion control algorithms in heterogeneous traffic types
Published 2013“…The performance metric used to show the analysis of these algorithms with mentioned distributions is Packet Loss (Pl). …”
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Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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Final Year Project / Dissertation / Thesis -
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Performance Enhancement of Routing Protocols in Mobile Wireless Ad-Hoc Networks Using Fuzzy Reasoning Algorithm
Published 2006“…Finally, in the last method fuzzy reasoning is used for network congestion estimation and estimating time to start dropping incoming packets. …”
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7
On the delay and link utilization with the new-additive increase multiplicative decrease congestion avoidance and control algorithm
Published 2010“…We will use the DropTail mechanism as the active queue management mechanism (AQM) in the bottleneck router. …”
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Performance study of large block forward error correction with random early detection queue policy
Published 2009“…FEC is a technique that uses redundant packet to reconstruct the dropped packet, while RED is an active queue management algorithm. …”
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Book Section -
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The delay with new-additive increase multiplicative decrease congestion avoidance and control algorithm.
Published 2010“…And we will use the Drop tail mechanism as Active Queue Management (AQM) in the bottleneck router. …”
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A simulation study of a new rate-and-queue-based active queue management algorithm
Published 2012“…In order to enhance quality of service (QoS), active queue management (AQM) algorithms are frequently employed due to their efficiency in congestion avoidance as well as the differentiated forwarding of packets. …”
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Traffic scheduling and link sharing mechanisms for controlled load service / Chin Yun Choong
Published 2000“…We expect the number of dropped packets will decrease especially during congestion time when the "borrow" mechanism is activated. …”
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Thesis -
12
Optimal Charging Strategy for Plug-in Hybrid Electric Vehicle Using Evolutionary Algorithm
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Quantitative study of iterative reconstruction algorithms of spect/ct in bone scan: a clinical and phantom study
Published 2024“…For all algorithms, increasing the iteration numbers elevated RC, SUV, and noise, while SNR dropped. …”
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Monograph -
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Adaptive unified neural network for dynamic power quality compensation
Published 2013“…For compensating the fault, another controller plant is implemented that uses Levenberg-Marquardt backpropagation algorithm. …”
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Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network
Published 2023“…The proposed algorithm, support vector regression assists genetic algorithm (SVRaGA) was tested in a dynamic WCDMA mobile network simulator. …”
Conference paper -
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Development of a scalable video compression algorithm
Published 2012“…In this paper a rate distortion optimized video frame dropping strategy which can be applied on active network nodes during high traffic intensity for H.264/AVC was developed. …”
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Proceeding Paper -
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Machine learning algorithms for early predicting dropout student online learning
Published 2023“…This is one of the causes of the high dropout rate among online learning students, so it is very important for lecturers and administrators to support students in a timely manner to avoid the risk of dropping out. This study uses access log data recorded in the LMS and student statistical information and calculated data and aims to present a suitable predictive algorithm for dropout early prediction systems for online learning students using machine learning. …”
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Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection
Published 2024“…The data was gathered using real-time packet capturing tools which were then processed and moved with model development using different deep learning algorithms such as, LSTM, MLP, RNN and Autoencoders. …”
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