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Urban planning and indicators for sustainability by Abdul Hadi Harman Shah

“…While there are many types of indicators developed, a major concern is the extent to which these indicators represent not only the status of the environment, but also the visions and concerns of planners. …”
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Comprehensive review of drones collision avoidance schemes: challenges and open issues by Rezaee, Mohammad Reza, Abdul Hamid, Nor Asilah Wati, Hussin, Masnida, Ahmad Zukarnain, Zuriati

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Economic dispatch with environmental consideration using particle swarm optimization technique / Mohammad Azlee Madon by Madon, Mohammad Azlee

“…Particle Swarm Optimization algorithm is proposed to solve this problem developed using MATLAB program.…”
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Reduction-by-percentage compression technique for reducing sizes of plaintext prior to encryption algorithm by Arif Mandangan, Che Haziqah Che Hussin, Darmesah Gabda, Suriana Lasairaya

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Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook by Hossain Lipu M.S., Hannan M.A., Karim T.F., Hussain A., Saad M.H.M., Ayob A., Miah M.S., Indra Mahlia T.M.

Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim by Abdul Rahim, Siti Rafidah

“…The depletion of fossil fuel and climate change challenge has gathered worldwide effort to develop sustainable energy systems. Several issues such as energy efficiency, environmental impact and security of supply are the major concerns when dealing with the DG installation. …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani by Abdul Ghani, Nur Syafiqah

“…In model validation, to quantify accuracy by approving the informational collection, Ant Colony Optimization Algorithm was used and it was compared with the J48 algorithm. …”
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Path planning for unmanned aerial vehicles using visibility line-based methods by Omar, Rosli

“…This thesis concerns the development of path planning algorithms for unmanned aerial vehicles (UAVs) to avoid obstacles in two- (2D) and three-dimensional (3D) urban environments based on the visibility graph (VG) method. …”
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Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions by Gorment N.Z., Selamat A., Cheng L.K., Krejcar O.

“…Finally, to address the related issues that would motivate researchers in their future work, an empirical study was utilized to assess the performance of several machine learning algorithms. � 2013 IEEE.…”

Improving Extreme Programming Framework With Security Concerns For E-Commerce Applications by Bala, Musa Shuaibu

Conceptual deployment models to secure cloud computing / Hajar Ziglari by Ziglari, Hajar

“…Objectives contain identifying data security attributes and threats for cloud, discovering some strategies to recover the cloud computing service delivery to business performance and customers and developing a new model to cover some security issues. …”
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Screen-related dependency in children: algorithm for referral from primary care in Malaysia by Abdul Hadi, Azwanis, Mohammad Aidid, Edre, Musa, Ramli

“…The emergence of screen-related issues in children in recent years and the negative impacts on their development have further intensified the research and movements for their recognition and prevention. …”
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Utilizing machine learning technique for emotion learning and aiding mental health issues by Husin, Nor Azura, Wan, Gibson Liang, Kamaruzaman, Nurul Nadhrah

“…In today's modern society, it is demonstrated that the technology has the capability of assisting health care providers in assisting their patients with mental health concerns. With this idea, a system named EMOICE, which is a speech emotion recognition system to aid mental health issues, is developed. …”
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Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

“…Pulau Pinang is a very cosmopolitan city that indirectly raise concern on the issue of water quality problems. Considering the issue encountered, the water quality index (WQI) formulation developed by the Department of the Environment (DOE) might be able to assist the water authorities in some way, as it is useful to assess the river water quality condition. …”
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Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli by Zulkipeli, Alis Farhana

“…This study applies the Naive Bayes algorithm for sentiment analysis to assess public perceptions of childcare issues, particularly child abandonment and accidents. …”
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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.

“…Many clustered routing algorithms have been developed to address various issues like energy efficiency, network lifetime, and hotspot problems. …”

Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm by Tahmasebi M., Pasupuleti J., Mohamadian F., Shakeri M., Guerrero J.M., Basir Khan M.R., Nazir M.S., Safari A., Bazmohammadi N.

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Optimizing wireless sensor networks: A survey of clustering strategies and algorithms by Hamim, Sakib Iqram, Azamuddin, Ab Rahman

“…The discussion explains the strategies of different algorithms, advantages, and disadvantages. Moreover, the issues discussed in the study address the present-day concerns and the future research trends of enhancing clustering algorithms of WSNs. …”
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Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.] by Mohd Fuzi, Mohd Faris, Mohd Shahirudin, Syamir, Abd Halim, Iman Hazwam, Jamaluddin, Muhammad Nabil Fikri

“…This study was solely concerned with the Windows malware dataset. The malware classification was determined by testing and training the supervised ML algorithms using the extracted features from the malware dataset. …”
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