Search Results - (( iot applications means algorithm ) OR ( its application learning algorithm ))*

Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering by Umelo, Nnamdi Henry, Noordin, Nor Kamariah, A. Rasid, Mohd Fadlee, Tan, Kim Geok, Hashim, Fazirulhisyam

“…Most algorithms assume a collision slot means two tag collision. …”
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A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions by Almazrouei O.S.M.B.H., Magalingam P., Hasan M.K., Shanmugam M.

“…In this review, core modeling techniques for IoT vulnerability assessment are highlighted, such as Markov Decision Processes (MDP), Feature Pyramid Networks (FPN), K-means clustering, and logistic regression models, along with other techniques involving genetic algorithms like fast-forward (FF), contingent fast-forwards (CFF), advanced reinforcement-learning algorithms, and HARMs models. …”

An efficient real-time data collection model for multivariate sensors in internet of things (IOT) applications by MOhammed Alduais, Nayef Abdulwahab

“…In the applications of the Internet of Things (IoT), sensor board depends on a battery that has a limited lifetime to function. …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs by Azamuddin, Ab Rahman, Hamim, Sakib Iqram

“…These results highlight the method's potential as a scalable and energy efficient solution for future IoT applications involving large scale sensor networks.…”
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A review on internet of things (IoT) based water monitoring system by Malaika Shaikha, Azad Alia, Riaz Ahmed, Babar Ali Shaikh

“…The traditional method to monitor water quality and quantity has been a quite difficult task involving a large amount of labour and cash. But the IoT application slashes human involvement and most of the procedural decisions are made by algorithms. …”
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IoT Soil Moisture Monitoring and Irrigation System Development by Chew, Kim Mey, Syvester Tan, Chiang Wei, Gary Loh, Chee Wyai, Nancy, Bundan, Yiiong, Siew Ping

“…At the same time, with a self-sufficient and self-organized irrigation system based on the water-control algorithm. The developed system covered the three layers in IoT architecture: perception layer, network layer and application layer. …”
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IoT Technology Enabled Heuristic Model with Morlet wavelet neural network for numerical treatment of Heterogeneous Mosquito Release Ecosystem by Zulqurnain Sabir, Kashif Nisar, Muhammad Asif Zahoor Raja, Muhammad Reazul Haque, Muhammad Umar, Ag. Asri Ag. Ibrahim, Le, Dac-Nhuong

“…The utmost advancements of artificial neural networks (ANNs), software-defined networks (SDNs) and internet of things (IoT) technologies find beneficial in different applications of the smart healthcare sector. …”
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Grouping based radio frequency identification anti-collision protocols for dense internet of things application by Umelo, Nnamdi H., Noordin, Nor K., A. Rasid, Mohd Fadlee, Geok, Tan K., Hashim, Fazirulhisyam

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Two-Phases QR Authentication Algorithm (2PQRA) for Digital Energy and IoT Applications by Al-Ghaili A.M., Kasim H., Omar R., Al-Hada N.M., Hassan Z., Hussain T.J., Othman M.

The role of the interface and interface management in the optimization of BIM multi-model applications: a review by Hmidah, Nawal Abdunasseer, Haron, Nuzul Azam, Alias, Aidi Hizami, Law, Teik Hua, Altohami, Abubaker Basheer Abdalwhab, Raja Ahmad Effendi, Raja Ahmad Azmeer

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Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN by Ibrahim, Nurul Saliha Amani

“…Due to finite resource, multiple issues need to be considered in designing such system, including AG flight time, coverage radius and the achievable data rate of the ground-to-air system, thus an Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. EECPP consist of two algorithms which is Stop Point Prediction Algorithm using K-Means, which finding the stop point for the AG after grouping the IDs into clusters, and Path Planning Algorithm using Particle Swarm Optimization which connect all of the stop point in shortest route. …”
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network by Azian Azamimi, Uwate, Yoko, Nishio, Yoshifumi

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Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks by Mujahid Tabassum

A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

“…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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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA by AHMED IZZELDIN, HUZAIFA TAWFEIG

“…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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A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things by Bakhshad, Said, Noor, Rafidah Md, Akhundzada, Adnan, Saba, Tanzila, Ahmedy, Ismail, Haroon, Faisal, Nazir, Babar

“…The simulation of the proposed algorithm shows promising results and better performance compared to the current state-of-the-art Modified Dynamic Hierarchical Replication (MDHR) algorithm. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“…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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Q-learning whale optimization algorithm for test suite generation with constraints support by Hassan, Ali Abdullah, Salwani, Abdullah, Kamal Z., Zamli, Rozilawati, Razali

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Ensemble dual recursive learning algorithms for identifying flow with leakage by Akib, Afifi, Saad , Nordin, Asirvadam , Vijanth Sagayan

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