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Development of IoT-based automated dynamic emergency response system against fire incidents in academic building by Al-Hady, Syed Mohammed Zakaria, Islam, Md Rafiqul, Rashid, Muhammad Mahbubur

“…This study aims to address the need for improved firefighting systems in academic building by proposing the development of an IoT-based automated emergency response website. …”
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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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Integration of spectroscopy and chemometric analysis for food authentication: a review by Basri, Katrul Nadia

“…This review presents a comparative synthesis of algorithms for various types of food samples, highlighting the performance of predictive algorithms. …”
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Development of airbag suit system for motorcyclist by Zainal Abidin, Zulkifli, Razali, Fakhruddin

“…The project involved development of a control algorithm for the airbag inflation and performing analysis on the finished prototype. …”
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Accident Prevention Block to Move an Automobile From Traffic Collision by Rajiv, Charles Samuel

“…In the present work, an attempt has been made to propose an accident prevention block in automobiles that can sense the tired/sleepy driver via a camera and algorithms, to maneuver the vehicle to safety. …”
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Machine Learning Applications in Offense Type and Incidence Prediction by Balaji, R., Manjula Sanjay, Koti, Harprith, Kaur

“…This knowledge can inform the development of more effective prevention and intervention strategies, ultimately contributing to the reduction of harmful behaviors and the enhancement of community well-being…”
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How artificial intelligence is enhancing innovation in healthcare / Assoc. Prof. Dr. Fazlin Mohd Fauzi by Mohd Fauzi, Fazlin

“…The healthcare industry is constantly evolving, with new advancements and technologies emerging frequently. One of the most promising developments in recent years is the increasing integration of artificial intelligence (AI) in healthcare. …”
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Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network by Al-Mayouf, Y.R.B., Ismail, M., Abdullah, N.F., Wahab, A.W.A., Mahdi, O.A., Khan, S., Choo, R.K.K.

“…An appropriate, efficient, and stable routing algorithm must be developed for various VANET applications to address the issues of dynamic topology and intermittent connectivity. …”
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Revolutionizing healthcare through artificial intelligence / Assoc. Prof. Dr Fazlin Mohd Fauzi by Mohd Fauzi, Fazlin

“…The healthcare industry is continuously evolving, with new advancements and technologies emerging frequently. One of the most promising developments in recent years is the increasing integration of artificial intelligence (AI) in healthcare. …”
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Applications of drones in emerging economies: a case study of Malaysia by Ab Rahman, Abdul Aziz, Wan Mohd Jaafar, Wan Shafrina, Abdul Maulud, Khairul Nizam, Mohd Noor, Norazilawati, Mohan, Midhun, Cardil, Adrian, Silva, Carlos Alberto, Che'ya, Nik Norasma, Naba, Nasrul Ikhwan

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Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

“…The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

“…The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems by Shengwen, Geng, Osman, Mohd Hafeez

“…Sensor failure, environmental changes, or bad weather can lead to the emergence of abnormal data, which can affect the decision-making process and may have disastrous consequences. …”
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Applications of drones in emerging economies: a case study of Malaysia by Abdul Aziz, Abdul Rahman, Wan Shafrina, Wan Mohd, Hj. Mohd. Noor, Norzailawati, Midhun, Mohan, Adrian, Cardill, Carlos Alberto, Silva, Nik Norasma, Cik ya, Nasrul Ikhwan, Naba

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Enhancing a cluster-based TDMA MAC protocol for vehicle-to-vehicle communications / Abubakar Bello Tambawal by Abubakar Bello , Tambawal

“…A dynamic time slot allocation strategy using a binary tree algorithm has been proposed to prevent vehicles from the adjacent clusters to reserve the same time slot. …”
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Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study by Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida

“…Objective: Neonates’ physiological immaturity and complex dosing requirements heighten their susceptibility to medication administration errors (MAEs), with the potential for severe harm and substantial economic impact on healthcare systems. Developing an effective risk prediction model for MAEs is crucial to reduce and prevent harm. …”
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Machine learning application in predicting anterior cruciate ligament injury among basketball players by Longfei, Guo

“…Four machine learning algorithms—Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR)—were developed to predict ACL injury. …”
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Study on effect of abs control system to the vehicle dynamic behavior during braking on various speed and road condition by Muhamad Zulhilmi, Ismail

“…Furthermore, with the development of the mathematical model in this research, various ABS algorithms to improve the effectiveness of ABS on the vehicle can be done in future studies.…”
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A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations by Balakrishnan G.K., Yaw C.T., Koh S.P., Abedin T., Raj A.A., Tiong S.K., Chen C.P.

The level of effectiveness of healthcare education on TikTok by Khairul Azli, Najmi Nafis, Mohd Rizal, Siti Hana Natasya, Ridzuan, Abdul Rauf, Baharuddin, Nur Umairah Bazla, Mahlin, Muhamad Aiman, Sataria, Iskhandar Ishraf, Jamri, Mohamad Hafifi

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