Improvement of Assemble-to-Order Model Processes With Process Mining: Dynamic Analysis and Hybrid Approaches by Ufuk Celik, Yuksel Yurtay

“…By combining direct flow graphs, inductive visual miner, and state chart workflows with a recursive algorithm, the proposed hybrid methodology identifies bottlenecks with repetitive works, analyzes variant impacts, and uncovers non-value-added activities. …”
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Prediksi Mahasiswa Drop-Out Di Universitas XYZ by Tubagus Ahmad Marzuqi, Evelline Kristiani, Marcel

“…The results indicate that the predictive model using the Random Forest algorithm achieved an accuracy of 99.67%. The Gradient Boosting algorithm yielded an accuracy of 99.21%, while the Decision Tree algorithm achieved 98.67% accuracy. …”
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Implementasi Algoritma Mickey 2.0 untuk Mengamankan Komunikasi Data pada Perangkat Bluetooth Low Energy by Amelia Dwi Rochani, Ari Kusyanti, Fariz Andri Bakhtiar

“…In this research, Mickey 2.0 algorithm is used for encryption. This algorithm successfully passed the eStream project and became an ideal candidate for low power consumption devices. …”
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Implementasi Algoritme Clefia 128-Bit untuk Pengamanan Modul Komunikasi Lora by Muhammad Fadhli Iman, Ari Kusyanti, Rakhmadhanny Primananda

“…The encryption method that will be used is the 128-bit Clefia algorithm. From the results of the tests carried out in the study, the Clefia 128-bit algorithm is proven to be able to prevent sniffing and known-plaintext-attack attacks. …”
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Transfer functions of a time-varying control system by Volt Avdieiev

“…The goal of the paper is to develop methodological support for constructing an algorithm for determining the equivalent stationary approximation, that is, of the transfer function which is equivalent to the LTV at the selected time interval. …”
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Novel Hybrid Radial-Based Neural Network Model for Predicting the Compressive Strength of Long-Term HPC Concrete by Hanlie Cheng, Shiela Kitchen, Graciela Daniels

“…In the present work, two hybrid radial base neural networks (RBFN) coupled with an arithmetic optimization algorithm (AORBFN) and an antlion optimization algorithm (ALRBFN) were developed for the prediction of compressive strength. …”
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Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting by Dhivagar Shanmugam, V Ramana

“…This paper proposes a forecasting approach using a hybrid model of the Radial Basis Function (RBF) algorithm, where the hyperparameters are tuned by six meta-heuristic optimizers to enhance precision and speed. …”
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Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

“…The algorithm output was a step-less individualized topographic modeling of the RORA growth, allowing for illustrating the progression line corresponding to an 80% growth compared to the natural course of 100% growth. …”
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Real world data on digital remote refraction in a healthy population of 14,680 eyes by Casper van der Zee, Heshow Jamal, Marc Muijzer, Laurence Frank, Gerko Vink, Robert Wisse

“…We report real-world 2021–2022 data of the underlying algorithm and validated these to conventional prescriptions among healthy individuals (high visual acuity and satisfactied current refraction). …”
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Enhancing Transient Stability of DFIG-Based Wind Turbine Systems Using Deep Learning-Controlled Resistance-Based Fault Current Limiters by Yaoying Wang

“…The research introduces a novel algorithm to calculate optimal fault current limiter resistance, maintaining voltage within ±10% of the reference level. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…We performed a claims data analysis using a machine learning algorithm. To build our model, the study population was randomly divided into an 80% training subset and a 20% testing subset and tested and trained using a cross-validation technique. …”
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Optimalisasi Prediksi Harga Ihsg Menggunakan Hybrid Weighted Fuzzy Time Series Hidden Markov Model Dengan Algoritma Evolusi Differensial by Alya Fitri Syalsabilla, Suci Astutik, Agus Fachrur Rozy

“…Forecasting from the Hybrid WFTS-HMM Model with the DE Algorithm has lower prediction error (1.45%) compared to the model without DE (1.49%). …”
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Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…Furthermore, the Focus View Algorithm is suggested, which incorporates features from infarcted regions to improve early detection of emerging lesions. …”
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Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach by Takayuki Sasaki, Kazuya Hayase, Masaki Kitahara, Shunsuke Ono

“…These include developing an algorithm grounded in theory, not heuristics, reducing computational complexity, enabling the automatic determination of numerous parameters, and ensuring the number of iterations remains feasible. …”
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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by wafiq azizah, soffiana agustin

“…These findings underscore the efficacy of integrating HOG and Texture Moments with the Random Forest algorithm for automated batik pattern recognition.…”
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Surface defect detection on industrial drum rollers: Using enhanced YOLOv8n and structured light for accurate inspection. by Guofeng Qin, Qinkai Zou, Mengyan Li, Yi Deng, Peiwen Mi, Yongjian Zhu, Hao Liu

“…The experimental results show that the improved YOLOv8n algorithm has a certain improvement in detection accuracy. …”
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Quantification of nipple size and shape among an ethnically diverse sample of US women by Peter Wildfeuer, Alexis Alban, Bob Worrell, Shilo Ben Zeev, Judith Shamian, Mike Woolridge

“…They provided 1,129 scans, of which 835 (74%) were submitted to a purpose-built algorithm which isolated the nipple-areola complex as a definable 3D cube, which was re-aligned to enable key parameters of nipple geometry to be measured. …”
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Innovative Hybrid War Strategy Optimization with Incremental Conductance for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems by Khaterchi Hechmi, Regaya Chiheb Ben, Jeridi Ahmed, Zaafouri Abderrahmen

“…The performance of the WSO-IC algorithm is rigorously compared against traditional IC, P&O, and standalone WSO techniques. …”
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Prediksi Stok dan Pengaturan Tata Letak Barang Menggunakan Kombinasi Algoritma Triple Exponential Smoothing dan FP-Growth by Kristoko Dwi Hartomo, Sri Yulianto Prasetyo, Rahmat Abadi Suharjo

“…Data processing in this research is called data mining using FP-Growth and Triple Exponential Smoothing algorithms. FP-Growth algorithm to find out user behavior patterns can be used to develop Triple Exponential Smoothing decisions and algorithms which are forecasting algorithms for inventory items. …”
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Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

“…The results of experiments that have been carried out with the Deep Convolutional Neural Network algorithm have the best accuracy value of 76.40%. …”
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