Bi-level data-driven enterprise-wide optimization with mixed-integer nonlinear scheduling problems by Hasan Nikkhah, Zahir Aghayev, Amir Shahbazi, Vassilis M. Charitopoulos, Styliani Avraamidou, Burcu Beykal

“…Nonetheless, the bi-level optimization of such interdependent and holistic formulations is still difficult, particularly when dealing with mixed-integer nonlinear programming (MINLP) problems, due to a lack of effective algorithms. In this study, we employ the Data-driven Optimization of bi-level Mixed-Integer NOnlinear problems (DOMINO) framework, a data-driven algorithm developed to handle single-leader single-follower bi-level mixed-integer problems, to solve single-leader multi-follower planning and scheduling problems subject to MINLP scheduling formulations. …”
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Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology by Asif Afzal, M.K. Ramis, R.D. Jilte, Mamdooh Alwetaishi, Sung Goon Park, Abdulrajak Buradi, Qasem M. Al-Mdallal, Ümit Ağbulut

“…Control volume-based code is developed where the Navier-stokes equation is solved by SIMPLE algorithm. The numerical work is endorsed by the experimental work specified in the literature. …”
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WINTER HARDINESS OF BREAD WHEAT FROM THE VIR COLLECTION IN ENVIRONMENTS OF THE NORTHWESTERN AND CENTRAL BLACK SOIL REGIONS OF RUSSIA by N. S. Lysenko, V. F. Loseva, O. P. Mitrofanova

“…By using the cluster analysis (k-means algorithm), the target sub-collec­tion structure has been revealed. …”
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Intraoperative haemodynamic optimisation using the Hypotension Prediction Index and its impact on tissular perfusion: a protocol for a randomised controlled trial by Javier Ripollés-Melchor, Ane Abad-motos, Juan Victor Lorente, Ignacio Jimenez, Alejandra Becerra, Wilbert Wesselink, Francesca Reguant, Irene Mojarro, Maria de los Angeles Fuentes, Elizabeth Agudelo, Francisco Herrero-Machancoses, Paula Callejo, Joan Bosch, Manuel Ignacio Monge

“…This study aims to determine whether a treatment protocol based on the prevention of arterial hypotension using the HPI algorithm reduces the duration and severity of intraoperative hypotension compared with the recommended goal-directed fluid therapy strategy and may improve tissue oxygenation and organ perfusion.Methods and analysis We will conduct a multicentre, randomised, controlled trial (N=80) in high-risk surgical patients scheduled for elective major abdominal surgery. …”
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Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan by Melva Linda Aritonang, Kudang Boro Seminar, Nugraha Edhi Suyatma, Irman Hermadi

“…The method used is a decision tree with C5.0 algorithm to classify types of food categories with parameters in the form of basic ingredients and ways of processing food products. …”
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Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System by Xiayue Xu, Boxiang Yun, Yumin Zhao, Ling Jin, Yanning Zong, Guanzhen Yu, Chuanliang Zhao, Kai Fan, Xiaolin Zhang, Shiwang Tan, Zimu Zhang, Yan Wang, Qingli Li, Shaoqing Yu

“…After deep learning, the optimal network was selected as the initialization model and trained to optimize the SiamMask online tracking algorithm. Results: The Att-Res2-UNet network demonstrated the highest accuracy and precision, with the most accurate recognition results. …”
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Using OCO-2 Observations to Constrain Regional CO₂ Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model by Igor B. Konovalov, Nikolai A. Golovushkin, Evgeny A. Mareev

“…We developed a regional-scale inverse modeling system that applies a Bayesian variational optimization algorithm to optimize parameters of VPRM coupled to the CHIMERE chemistry transport model and which involves a preliminary transformation of the input XCO₂ data that reduces the impact of the CHIMERE boundary conditions on inversion results. …”
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Implementasi Algoritma Genetika dalam optimasi Performa Truk Sampah Menggunakan Aplikasi Trash Queen by Arief Kelik Nugroho, Muhammad Naufal Faza

“…Trash Queen utilizes genetic algorithm to run simulations repeatedly until an optimal solution is obtained. …”
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Role of the Bronchoalveolar Lavage in Noncritically Ill Patients during the SARS-CoV-2 Epidemic by Olivier Taton, Emmanuelle Papleux, Benjamin Bondue, Christiane Knoop, Sébastien Van Laethem, Alain Bauler, Delphine Martiny, Isabel Montesinos, Marie-Luce Delforge, Kahina Elmaouhab, Dimitri Leduc

“…BAL was performed according to a predefined decisional algorithm based on their state of immunocompetence, the chest CT scan features, and their respiratory status. …”
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Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…We aimed to investigate the relationship between intake of macro/micronutrients and the incidence of type 2 diabetes (T2D) using logistic regression (LR) and a decision tree (DT) algorithm for machine learning. Method Our research explores supervised machine learning models to identify T2D patients using the Mashhad Cohort Study dataset. …”
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Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor by Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind

“…Approximately two hundred thirty thousand (229,314) normalized ΔR1 profiles of animals’ brain voxels along with their NMS results were used to build a K-SOM (topology-size: 8 × 8, with competitive-learning algorithm) and probability map of each model. K-fold nested-cross-validation (NCV, k = 10) was used to evaluate the performance of the K-SOM probabilistic-NMS (PNMS) technique against the NMS technique. …”
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Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

“…The data then processed and classified using the k-Nearest Neighbor (k-NN) algorithm. The accuracy results obtained in this study reaches 79.56%. …”
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Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospectiv... by Shingo Fukuma, Yukio Yuzawa, Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, Akira Koseki, Toshiya Iwamori, Michiharu Kudo

“…For each group, we developed prediction models that classified the steepest eGFR decline, defined as extremely rapid eGFR decline compared with others in the same group, where we used the random forest algorithm with clinical parameters.Results Our clustering model first identified three high-level groups according to the baseline eGFR (G1, high GFR, 99.7±19.0; G2, intermediate GFR, 62.9±10.3 and G3, low GFR, 43.7±7.8); our model simultaneously found three eGFR trajectory clusters for each group, resulting in nine clusters with different slopes of eGFR decline. …”
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Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain by Rizky Adinda Azizah, Fitra Bachtiar, Sigit Adinugroho

“…Neighbor Weighted K-Nearest Neighbor algorithm with Information Gain method will be applied to this study to help predict student performance. …”
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Implementasi Algoritma Fuzzi Mamdani pada Sistem Pakar Menggunakan Software Aplikasi Matlab R2007B, Studi Kasus: Tanaman Hidroponik Selada Air by Okta Purnawirawan, Tri Afirianto

“…Expert system work process by applying the fuzzy mamdani algorithm. The expert system was built using the functions of the Fuzzy Inference System (FIS) contained in the Fuzzy Logic Toolbox (FLT) in the MATLAB R2007b application software. …”
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Oura Ring as a Tool for Ovulation Detection: Validation Analysis by Nina Thigpen, Shyamal Patel, Xi Zhang

“…In each subgroup, we compared the algorithm’s performance with the traditional calendar method, which estimates the ovulation date based on an individual’s last period start date and average menstrual cycle length. …”
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Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine by Malwina Kaniewska, Fabio Zecca, Carina Obermüller, Falko Ensle, Eva Deininger-Czermak, Maelene Lohezic, Roman Guggenberger

“…ZTE-DL sequences were reconstructed from raw data using the AirReconDL algorithm. Three blinded readers independently evaluated image quality, artifacts, and bone delineation on a 5-point Likert scale. …”
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Screening high-risk Veterans for cirrhosis: taking a stepwise population health approach by Jonathan Dounel, Carolyn Lamorte, Heather Patton, Ponni Perumalswami, Heather McCurdy, Nicole J. Kim, Lauren A. Beste, Dawn Scott, Jessimarie Casey, Patrick Spoutz, Linda Chia, Yiwen Yao, Elliott Lowy, Sandra Gibson, Timothy R. Morgan, Shari S. Rogal

“…Abstract Background Because cirrhosis is often unrecognized, we aimed to develop a stepwise screening algorithm for cirrhosis in the Veterans Health Administration (VHA) and assess this approach’s feasibility and acceptability. …”
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Consensus evidence-based clinical practice guide for the diagnosis and management of osteoporosis in childhood and adolescence by Yasser El Miedany, Hala Lotfy, Maha El Gaafary, Naglaa Gadallah, Annie Nasr Mehanna, Safaa Mahran, Waleed Hassan, Mohammed Hassan Abu-Zaid, Samar Abdelhamed Tabra, Mohamed Mortada, Ahmed R. Radwan, Dalia El Mikkawy, S. Esam Maher, Ghada Eldrainy, Hala Abdulhady, Marwa Mahgoub, Youmna Amer, Walaa Elwakil

“…Delphi 2 round revealed that all the recommendations achieved 75% or more level of agreement and therefore have been accepted and included in this management recommendations. Based on that an algorithm showing an approach to pediatric osteoporosis management and maintenance of therapy has been developed. …”
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Comparative Evaluation of AI-Based Multi-Spectral Imaging and PCR-Based Assays for Early Detection of <i>Botrytis cinerea</i> Infection on Pepper Plants by Dimitrios Kapetas, Eleni Kalogeropoulou, Panagiotis Christakakis, Christos Klaridopoulos, Eleftheria Maria Pechlivani

“…This study employs the Deep Learning algorithm YOLO for single-class segmentation on plant images to extract spatial details of pepper leaves. …”
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