Search Results - (( develop shift machine algorithm ) OR ( java implication based algorithm ))

Support directional shifting vector: A direction based machine learning classifier by Kowsher, Md., Hossen, Imran, Tahabilder, Anik, Prottasha, Nusrat Jahan, Habib, Kaiser, Zafril Rizal, M Azmi

“…There exist several types of classification algorithms, and these are based on various bases. The classification performance varies based on the dataset velocity and the algorithm selection. …”
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A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”

An application of backtracking search algorithm in designing power system stabilizers for large multi-machine system by Islam N.N., Hannan M.A., Shareef H., Mohamed A.

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

“…This article presents a current analysis of various EMSs proposed in the literature. It highlights the shift towards integrating machine learning and artificial intelligence (AI) breakthroughs in EMSs development. …”
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Benchmarking Robust Machine Learning Models Under Data Imperfections in Real-World Data Science Scenarios by Marlindawati, ., Mohammad, Azhar, Esha, Sabir

“…Machine learning systems deployed in real-world environments frequently encounter data imperfections such as noise, missing values, class imbalance, and distribution shifts. …”
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Computing non-contactable drowsiness monitoring system with mobile machine vision by Alixson Polumpung, Lorita Angeline, Helen Sin Ee Chuo, Tan, Min Keng, Lim, Kit Guan, Teo, Kenneth Tze Kin

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A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system by Retas, Zain

“…These recent requirements or paradigm shift have led to a new and challenging era in the area of machining tools and control. …”
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Automatic spike detection and correction for outdoor machine vision: application to tomato by Sahragard, Nasrolah, Ramli, Abdul Rahman, Marhaban, Mohammad Hamiruce, Mansor, Shattri

“…Then by the use of mean shift color segmentation algorithm, the spiky pixels on the surface of tomato are spotted. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

“…Focusing on clustering algorithms, the study employs popular methods like K-Means Clustering, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Agglomerative Hierarchical Clustering, and Mean Shift Clustering to understand customer characteristics and behaviors. …”
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Hybrid dynamic scheduling model for flexible manufacturing system with machine availability and new job arrivals by Paslar, Shahla

“…The BBO-VNS match-up algorithm manipulates the idle times on machines within the time horizon for assigning the affected operations by breakdown and/or newly arrived orders. …”
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Single Frame Profilometry With Rapid Phase Demodulation On Colour-Coded Fringes by Yee, Cong Kai

“…The findings prove that the proposed concept is applicable and provides an alternative method for conventional fringe analysis techniques such as transform-based algorithms or phase-shifting algorithms to advance high-speed 3D profilometry.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Final exam question paper data encryption and decryption using advance encryption standard / Khairul Nashran Nazari by Nazari, Khairul Nashran

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Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao by Wong , Tee Hao

“…To address dataset imbalances, Synthetic Minority Oversampling Technique was used, enhancing dataset quality before training 40 machine learning classification algorithms. Among these, the Gaussian-kernel Support Vector Machine stood out, achieving remarkable performance with 88.18% validation and 93.37% test accuracies. …”
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Development of a simulation-based decision support model for high precision component manufacturer by Gan, Sin Yi

“…In such configurations, a job may undergo operations only in certain orders of machines and not necessarily at every machine. The complexity is further compounded by the indefinite batch size for each product. …”
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A conceptual Malaysian private healthcare university-of-the-future business model: staying relevant in the digital and post-covid era by Saiid, Muhammad, Bah, Ahmadou Pathe, Ahmad Dahlan, Abdul Rahman

“…Moreover, along with the unexpected arrival of the COVID-19 pandemic and various disruptors driving for change including the evolution of digital technologies, democratization of knowledge, global mobility, demographic shifts, and the rise of online educational services, HEIs are in need of new alternate business models for agility, relevancy, and to continue to thrive and operate to offer value and reclaim their position as drivers of innovation, economic development and societal well-being. …”
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Recognition system for leaf images based on its leaf contour and centroid by Mohamed Khmag, Asem Ib., Syed Mohamed, Syed Abdul Rahman Al-Haddad, Kamarudin, Noraziahtulhidayu

“…This technique exploits the variant to scaling shift, spin technique, scaling approach, and filtering processes. …”
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Mapping of oil palm land cover using integration of cloud computing, machine learning and big data by Shaharum, Nur Shafira Nisa

“…Thus, this study had utilised cloud-based platforms, namely Google Earth Engine (GEE) and Remote Ecosystem Monitoring Assessment Pipeline (REMAP) to map the oil palm areas. Random Forest (RF) machine learning algorithm was utilised to produce and classify the land cover maps covering the Peninsular Malaysia. …”
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