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Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

“…In the past, many scheduling algorithms were proposed. However, when these techniques were implemented in dense networks, they often lacked the scalability factor due to node failure and dynamic topology changes. …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

“…In the past, many scheduling algorithms were proposed. However, when these techniques were implemented in dense networks, they often lacked the scalability factor due to node failure and dynamic topology changes. …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

“…In the past, many scheduling algorithms were proposed. However, when these techniques were implemented in dense networks, they often lacked the scalability factor due to node failure and dynamic topology changes. …”
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Design and development of the network interface, packets scheduling and interference mitigation schemes for LTE-based femtocell networks / Sinan Ghassan Abid Ali by Ali, Sinan Ghassan Abid

“…For the packet scheduling challenge, the authors propose a resource block preserver (RBP) scheduling algorithm in the downlink of the LTE based femtocell network. …”
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Overload-state downlink resource scheduling and its challenges towards 5G networks by Ferdosian, Nasim, Othman, Mohamed, Kweh, Yeah Lun, Mohd Ali, Borhanuddin

“…In this paper, we do a performance study of three overload-state schedulers by implementing such a network environment and exploiting the advantages and drawbacks of the compared algorithms. …”
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Context aware traffic scheduling algorithm for power distribution smart grid network by Radzi N.A.M., Suhaimy N., Ahmad W.S.H.M.W., Ismail A., Abdullah F., Jamaludin M.Z., Zakaria M.N.

SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION by Chiu, Po Chan, Ali, Selamat, Kuok, King Kuok

“…This chapter presents the ability of the sine cosine algorithm-based neural network (SCANN) to predict and optimize missing rainfall at different percentages of missing rates. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions by Abbas O.K., Abdullah F., Radzi N.A.M., Salman A.D., Abdulkadir S.J.

“…Clustering in WSNs is a reliable method of effectively transferring data within the network through routing. Thus, developing an effective routing algorithm to optimize network functionality is a big concern. …”

Rogue access point detection and tracking system using trilateration algorithm by Lee, Chiew Min, Ang, Boon Keat, Kok, Ser Leen, Ghali, Abdulrahman Aminu, Sabri, Nor ‘Afifah

“…Besides, that the project introduces a robust method called trilateration algorithm. Therefore, the proposed trilateration algorithm if implemented will detect and reduce the risk of unauthorized network access in tertiary institutions and save the danger of financial loss. …”
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Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks by Raja Mohd Auzar, Tengku Dian Shahida

“…It is the objective of the research presented in this thesis to propose a solution that can further optimize and improve the performance of message scheduling for routing in the optical Omega network. Based on Zero algorithms, a Modified Zero algorithm is developed to achieve a crosstalk-free version of the algorithm. …”
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Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution by Tijani, Ismaila B., Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus

“…However, going by a first principle approach based on physical laws governing the dynamics of the system, this task is noted to be highly challenging due to the complex nonlinear characteristics of the helicopter system.On the other hand, the problem of determining network architecture for optimal/sub-optimal performances has been one of the major challenges in the use of the non parametric approach based on Nonlinear AutoRegressive with eXogenous inputs Network(NARX-network). …”
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An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks by Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya

“…Moreover, to reduce the computational cost while maintaining its accuracy, several techniques were implemented, including All Convolutional Network (ACN), Batch Normalization (BN), and ensemble convolutional neural networks. …”
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An enhanced feed-forward neural networks and a rule-based algorithm for predictive modelling of students' academic performance by Raheem, Ajiboye Adeleke

“…The implementation of the rule-based algorithm proposed in the second approach, shows outputs that are consistently accurate. …”
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Fiber-Wireless testbed using software defined radio for protocol and algorithm testing by Ridwan M.A., Mohamed Radzi N.A., Abdullah F.

“…Almost all recently proposed testbed designed for FiWi are using hardware that lacks in programmability feature, making it challenging to implement any protocols and algorithms. …”

High-throughput and energy-efficient Contiki MAC layer scheme in IEEE 802.15.4 for structural health monitoring by Al-Mekhlafi, Mohamed Abdulkarem Taher

“…A synchronization model is presented with the aid of the implemented Contiki's implicit network time synchronization scheme. …”
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An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi by Suhaimi, Hamizan

“…This issue highlights the need to tackle the network intrusion problem efficiently. This research aim is to study the performance of an improvised Genetic Algorithm (GA) by formulating its problem-specific algorithm for network intrusion problem. …”
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FPGA implementation of handwritten number recognition using artificial neural network by Mittal, Harsh, Sharma, Abhishek, Perumal, Thinagaran

“…Implementation of Deep Learning and Machine Learning Algorithms is always a challenge as they consume a lot of resources and power. …”
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A trust aware secure ant colony optimization based routing algorithm for Internet of Things by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A., Hassan Abdalla Hashim, Aisha

“…Moreover, the sensors deployed in these kinds of networks are also energy-constrained. It is a challenging task to implement security in IoT networks when the design consideration comprises light weighted security mechanisms and routing protocols due to the insight that security is pricy regarding memory, computational power, and CPU cycles. …”
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A Modified Route Discovery Approach For Dynamic Source Routing (DSR) Protocol In Mobile Ad-Hoc Networks by Allahham, Alaa Azmi, Mohammed, Muamer N.

“…The implementation of proposed algorithms showed positive results in terms of delay, overhead, and improve the performance of MANETs in general.…”
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Location-Based Cryptographic Techniques for Data Protection by Mohd Shamsuddin, N.S., Sakinah Ali Pitchay