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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm by Delgoshaei, Aidin, Beighizadeh, Razieh, Mohd Arffin, Mohd Khairol Anuar, Leman, Zulkiflle, Ali, Ahad

“…Both internal and external features can influence a business's innovative development; thus, there must be relationships between these aspects for Innovative Development to succeed. …”
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How artificial intelligence is enhancing innovation in healthcare / Assoc. Prof. Dr. Fazlin Mohd Fauzi by Mohd Fauzi, Fazlin

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Statistical computing for forensic firearm pattern identification: Evaluating a fisher linear discriminant analysis-based algorithm against fixed-impulse noise by Chuan, Zun Liang, Abraham Lim, Bing Sern, Tan, Chek Cheng, Abdul Aziz, Jemain, Liong, Choong-Yeun

“…However, these systems require physical verification by experts, resulting in the process being time-consuming. Previous studies developed a Fisher Linear Discriminant Analysis (FLDA)-based ballistic identification algorithm to address this limitation, encompassing image pre-processing, feature extraction, and identification. …”
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Feature selection with integrated Gaussian seahorse optimization data mining for cross-border business cooperation between the Malaysian medical industry and tourism industry by Ma, Yuaner, Jabar, Juhaini, Abdul Aziz, Nor Azah

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Fraud Detection in Shipping Industry using K-NN Algorithm by Subramaniam G., Mahmoud M.A.

Library reservation system using face detection / Nik Ruslawati Nik Mustapa and Nur Athikah Fatehah Rosli by Nik Mustapa, Nik Ruslawati, Rosli, Nur Athikah Fatehah

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All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.] by Chiau Ming, Long, Karuppannan, Mahmathi, Abdul Wahab, Izyan, Abd Wahab, Mohd Shahezwan, Zulkifly, Hanis Hanum

“…Ultimately our All-in-1 ADR reporting system could help to implement preventive measure to reduce the risks associated with drug use. This innovation enhances the development of health-related software and mobile applications with potential for commercialisation. …”
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Workload utilization dissemination on grid resources for simulation environment by Yahaya, Bakri, Latip, Rohaya, Abdullah, Azizol, Othman, Mohamed

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Revolutionizing healthcare through artificial intelligence / Assoc. Prof. Dr Fazlin Mohd Fauzi by Mohd Fauzi, Fazlin

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Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment by Mustapha Amine, Sadi

“…This research enhances UAV navigation effectiveness and stability through the development of a robust controller—specifically, a cascade Model Predictive Control (MPC) algorithm, optimized for continuous gust conditions as modelled by the Dryden wind turbulence approach. …”
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Software reusability in green computing / Ibraheem Y. Y. Ahmaro by Y. Y. Ahmaro, Ibraheem

“…It can be discerned that the main software reusability approaches used in the IT industry include design patterns, component-based development and application frameworks. …”
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New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks by Marzia, Ahmed

“…These findings underscore the efficacy of GBO and its competitive edge in achieving accurate time-series predictions when compared to a diverse set of algorithms. The groundbreaking outcome of this research lies in the transformative impact of enhanced BMO variants, along with the innovative new bio-inspired GBO algorithm and GBO-LSSVM models. …”
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Digital Analysis of Badminton Athlete Motion by Zahari, Taha, Hwa, Jen Yap, Mohammad Syawaludin Syafiq, Hassan, Wee, Kian Yeo

“…This study essentially entails the development of an innovative training system that incorporates technology that could improve the athlete’s performance. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

“…Innovative cloud computing system offers cutting-edge storage models that prioritize the importance of data, adaptive algorithms for controlling data flow, and cost-effective computational procedures. …”

Optimal energy management strategies for hybrid electric vehicles : A recent survey of machine learning approaches by Jui, Julakha Jahan, Mohd Ashraf, Ahmad, Molla, Md Mamun, Muhammad Ikram, Mohd Rashid

“…We emphasize how machine learning algorithms may be adjusted to dynamic operating environments, how well they can identify intricate patterns in hybrid electric vehicle systems, and how well they can manage non-linear behaviors.…”
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Embracing AI in travel and tourism industry / Ranee Atlas, Tina Stephen Enggong and Saifulrizan Norizan by Atlas, Ranee, Enggong, Tina Stephen, Norizan, Saifulrizan

“…In order for the software to learn automatically from patterns or features in the data, AI combines massive amounts of data with quick, iterative processing and sophisticated algorithms. …”
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Cognitive load assessment through EEG: a dataset from arithmetic and stroop tasks by Nirabi, Ali, Abd Rahman, Faridah, Habaebi, Mohamed Hadi, Sidek, Khairul Azami, Yusoff, Siti Hajar

“…By providing a solid foundation for the development of algorithms capable of detecting and classifying stress levels, the dataset supports innovations in non-invasive monitoring tools and contributes to personalized healthcare solutions that can adapt to the cognitive states of users. …”
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A novel method for vegetation encroachment monitoring of transmission lines using a single 2D camera by Ahmad, Junaid, Malik, Aamir Saeed, Abdullah, Mohd Faris, Kamel, Nidal S., Xia, Likun

“…A single camera mounted on power poles acquires images and sends them wirelessly to the base station. At base station, algorithm (software) trained by image processing and pattern recognition techniques is used to identify (height, depth, and width of encroached vegetation, etc.) …”
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IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management by Eugine Teh, Yin Jie, Chee Soon, Chong, Rozaimi, Ghazali, Hazriq Izzuan, Jaafar, Muhamad Fadli, Ghani, Howe Cheng, Teng, Nur Farhanah, Zulkipli, Siaw Hong, Liew

“…The increasing inefficiencies in conventional waste management systems, including suboptimal recycling rates and environmental degradation, necessitate innovative solutions. This paper discusses the development of an Internet of Things (IoT)-enabled waste tracking and recycling optimization system designed to address these challenges and contribute to sustainable waste management practices. …”
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Generation of synthetic 5G network dataset using Generative Adversarial Network (GAN) by Azman, Muhammad Amin, Abu-samah, Asma, Khatiman, Muhammad Nur Aqmal, Nordin, Rosdiadee, Abdullah, Nor Fadzilah

“…The existence of Generative Adversarial Network (GAN) helps solve the issue by generating fake data from an existing dataset to resemble real-world data to be used in training and testing of different algorithms. In this paper, the process of generating synthetic data of 5G network was demonstrated from an extensive test drive results that will encourage innovation in mobile communication. …”
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