Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-we... by Xingrui Wang, Zhenhui Xie, Xiaoqing Wang, Yang Song, Shiteng Suo, Yan Ren, Wentao Hu, Yi Zhu, Mengqiu Cao, Yan Zhou

“…After tumor segmentation, the k-means algorithm clustered Ktrans and ADC image voxels to generate spatial habitats and extract quantitative image features. …”
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Desain Layanan E-Surat untuk Desa Waru Barat, Pamekasan, Madura menggunakan QR-Code by Wahyudi Agustiono, Intan Rofika Putri, Devie Rosa Anamisa

“…Despite these practical implication, the contribution of this research, especially to the IT discipline which could be adopted in the future study, is the system architecture and e-certificate application along with the algorithm for generating unique QR Code to ensure the security and validity of the document.            …”
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AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation by Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun

“…The developed predictive algorithm (AUC 0.719 internally, 0.684 externally) offers a more sophisticated risk stratification tool, potentially guiding personalized treatment strategies in high-complexity VBAO patients with atrial fibrillation.…”
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Pengembangan Business Intelligence Dashboard untuk Monitoring Aktivitas Pariwisata (Studi Kasus: Dinas Pariwisata Provinsi Bali) by Evan Himawan Saragih, I Putu Agung Bayupati, Gusti Agung Ayu Putri

“…The error value of this forecasting method can be calculated using the Mean Absolute Percentage Error algorithm. In order to determine the level of utilization of this system development, black box testing, usability testing and user acceptance tests are used to determine the quality and functionality of the system in terms of input, output, and assessment by system users. …”
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Target Detection Using Fused Unidentical Photonics-Based LFM Sub-Band Radar Signals With an Adaptive Feed Forward Network Equalizer by Bikash Nakarmi, S. M. Rezwanul Islam, Hum Nath Parajuli, Ikechi Augustine Ukaegbu, Aigerim Ashimbayeva, Carlo Molardi, T. D. Subash, Xiangchuan Wang, Shilong Pan

“…Time-frequency analysis (TFA) was used to obtain sub-bandgap signals of 0.12 GHz, 0.56 GHz, and 1.25 GHz which are coherently fused using the FFNE with a particle swarm optimization (PSO) algorithm to optimize complex-valued weights. The method is evaluated by measuring the range resolution and peak-to-sidelobe level (PSL) in detecting two objects separated by 2 cm and 3 cm. …”
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Implementasi Algoritme Evolusioner NSGA-II pada Optimasi Daya Wireless Power Transfer Multi-Penerlima by Sabriansyah Rizqika Akbar, Eko Setiawan, Agung Setiabudi

“…The NSGA-II evolutionary algorithm is used to solve multi-objective-function problems and their constraints to obtain optimal parameter values. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…A key focus of this work is the combination of ML models with optimization algorithms like Genetic Algorithm, which improves the performance of ML models by optimizing hyperparameters and enhancing prediction accuracy. …”
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Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topso... by Calogero Schillaci, Simone Scarpa, Felipe Yunta, Aldo Lipani, Fernando Visconti, Gábor Szatmári, Kitti Balog, Triven Koganti, Mogens Greve, Giulia Bondi, Georgios Kargas, Paraskevi Londra, Fuat Kaya, Giuseppe Lo Papa, Panos Panagos, Luca Montanarella, Arwyn Jones

“…In this work, using the LUCAS 2018 dataset, we provide an empirically-derivedpedotransfer function to convert diluted EC1:5 to saturated ECe using the LUCAS soil texture and soil organic carbon, and a framework for ECe mapping with a machine-learning algorithm named Quantile Regression Forest. The final model resulted in an R2 of 0.302 with an RMSE of 0.265 dS m−1 for soil samples not used for model calibration. …”
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Analisis Perbandingan Algoritma Machine Learning dan Deep Learning untuk Klasifikasi Citra Sistem Isyarat Bahasa Indonesia (SIBI) by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…In previous studies, no one has compared machine learning and deep learning classification algorithms for the classification of SIBI. Therefore, a meaningful comparison is made to see each classification algorithm's effectiveness in classification performance and computation time. …”
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Aplikasi Pencarian Hadis Menggunakan Vector Space Model Dengan Pembobotan TF-IDF Dan Confix-Stripping Stemmer by Novi Prisma Yunita

“…Including Vector Space Model (VSM) and Term Frequency – Inverse Document Frequency (TF-IDF) to create vector space and term weighting and stemming using the Confix-Stripping Stemmer (CS Stemmer) algorithm. In addition, pre-processing techniques use stopwords removal, and similarity measurements use Inner Product Similarity Measurement. …”
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Deteksi Dan Klasifikasi Hama Potato Beetle Pada Tanaman Kentang Menggunakan YOLOV8 by Daniel Geoffrey Manurung, Mohammad Ryan Pinasthika, Muhammad Azka Obila Vasya, Rania Aprilia Dwi Setya Putri, Agustinus Parasian Tampubolon, Rakan Fadhil Prayata, Septia Khoirin Nisa, Novanto Yudistira

“…The Convolutional Neural Network (CNN) algorithm, which is effective in image processing, is utilized for the detection and classification of potato beetles. …”
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Strategi Penanganan Imbalance Class Pada Model Klasifikasi Penerima Kartu Indonesia Pintar Kuliah Berbasis Neural Network Menggunakan Kombinasi SMOTE dan ENN by Zaqiatud Darojah, Ronny Susetyoko, Nana Ramadijanti

“…Firstly, the majority class is clustered into several sub-classes using the k-means algorithm.  The SMOTE and ENN methods are applied simultaneously on a dataset derived from a minority class and a majority sub-class that is the nearest neighbor of the minority class with a certain sampling ratio. …”
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Impact of donor CYP3A5 genotype on pharmacokinetics of tacrolimus in South African paediatric liver transplant patients by C Wheeler, C Masimirembwa, B Mthembu, J Botha, J Scholefield, J Fabian

“…Information from this study may inform the development of an Afrocentric tacrolimus precision-medicine algorithm to optimise recipient safety and graft outcomes. …”
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Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam by Mohammad Teddy Syamkalla, Siti Khomsah, Yohani Setya Rafika Nur

“…Previous research has tried to use logistic regression and random forest algorithms to forecast the popularity of indie games on the Steam platform, However, the model results using various methods are still low. …”
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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

“…Empirical data from a design of experiments (DoE) fed a Markov chain Monte Carlo algorithm in an artificial neural network (MCMC-ANN) for data imputation, numerical simulation, and training. …”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik by Endra Joelianto, Winarendra Satya Rajasa, Agus Samsi

“…The search for optimal parameters in the swarm model controller requires optimization techniques such as the genetic algorithm (GA) to direct the search for solutions that produce the best performance. …”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…This study aims to make sentence corpus containing SARA elements obtained from twitter, then label sentences with labels containing elements of SARA and not, and conduct group sentiments. The algorithm used for the labeling process is k-means, while Support Vector Machine (SVM) is used for the classification process. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…We hypothesize that this better conspicuity leads to high-quality annotation (HAQ), enhancing deep learning (DL) algorithm detection of BMs on MPRAGE images. Methods Retrospective contrast-enhanced (gadobutrol 0.1 mmol/kg) SPACE and MPRAGE data of 157 patients with BM were used, either annotated on MPRAGE resulting in normal annotation quality (NAQ) or on coregistered SPACE resulting in HAQ. …”
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Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…To accelerate the detection process, the PCA algorithm is deployed to reduce the number of significant features of the traffic. …”
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