Search Results - (( its application learning algorithm ) OR ( mobile applications force algorithm ))*
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Modelling of Crowd Evacuation with Communication Strategy Using Social Force Model
Published 2022“…As mobile crowd steering applications require user interaction during fire evacuation, we have foreseen a gap in current simulation algorithms, which leads to unrealistic simulation. …”
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Node placement strategy in wireless sensor network
Published 2013“…Node placement influences the target position, coverage area, and connectivity in sensor networks.In random deployment, sensor nodes are deployed randomly in a non-invasive way.The deployment process may cause issues like coverage holes, overlapping, and connectivity failure.Enhancing coverage and connectivity are important for sensor networks to provide a reliable communication within sensing.Placing many sensor nodes in a WSN application region area is not the best solution due to cost and it results in multiple sensors used.Mobile sensor node is used as an alternative to overcome the random deployment problem.The virtual force based self node deployment is used in the mobility sensor to improve the coverage and connectivity area.Virtual Force Algorithm (VFA) approach using virtual repulsive and attractive forces is used to find the optimal node placement to minimize the problems. …”
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Wheeled Mobile Robot Path Control in a Complex Trajectory using HybridMethods
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…Sockets programming is one f the most basic and useful method of achieving any client server connectivity. The approach of the mobile cloud is clearly occurring with web host servers expands thus large number of data around the world stored in huge servers, consumers of mobile devices and small computing devices have high performance expectations usually, therefore mobile cloud computing theorizes that the cloud will soon become a disruptive force in the mobile world, eventually becoming the dominant way in which mobile applications operates. …”
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
Published 2010Subjects: Get full text
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Artificial Intelligence Integration in Mobile Applications: Innovation and Challenges in Supporting Quran Memorization and Review
Published 2025journal::journal article -
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Review on real-time control schemes for wheeled mobile robot
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Conference or Workshop Item -
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. …”
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Gps solution for active queue management using android platform
Published 2021“…Since queueing in different locations is considered as a optimisation problem, several algorithms are reviewed to tackle the problem, such as brute force method, nearest neighbour algorithm, and branch and bound algorithm. …”
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Final Year Project / Dissertation / Thesis -
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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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