FUZZY APPLICATION (MAMDANI METHOD) IN DECISION-MAKING ON LED TV SELECTION by Erni Fatun Ma'rif, Agus Maman Abadi

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Conversational LLM-Based Decision Support for Defect Classification in AFM Images by Angona Biswas, Jaydeep Rade, Nabila Masud, Md Hasibul Hasan Hasib, Aditya Balu, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar

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“Decision Tree” as a Tool for Analyzing the Psychodiagnostics Data Latent Connections by Elena V. Slavutskaya, Leonid A. Slavutsky

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Klasifikasi Mahasiswa HER Berbasis Algoritma SVM dan Decision Tree by Jajang Jaya Purnama, Hendri Mahmud Nawawi, Susy Rosyida, Ridwansyah Ridwansyah, Risnandar Risnandar

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Obtaining a Land Use/Cover Cartography in a Typical Mediterranean Agricultural Field Combining Unmanned Aerial Vehicle Data with Supervised Classifiers by Ioannis A. Nikolakopoulos, George P. Petropoulos

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Evaluation of the Necessity of Repeat Biopsy in Patients with Thyroid Nodules Classified as Atypia of Undetermined Significance (AUS) Based on Fine-Needle Aspiration Biopsy Results by Yiğit Türk, Bahadır Emre Baki, Özer Makay, Gökhan İçöz, Murat Özdemir

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Efficient and Explainable Bearing Condition Monitoring with Decision Tree-Based Feature Learning by Trong-Du Nguyen, Thanh-Hai Nguyen, Danh-Thanh-Binh Do, Thai-Hung Pham, Jin-Wei Liang, Phong-Dien Nguyen

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A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction by Elpida Kalfountzou, Lefkothea Papada, Christos Tourkolias, Sevastianos Mirasgedis, Dimitris Kaliampakos, Dimitris Damigos

“…The most successful classifier in terms of energy poverty prediction proved to be the “Random Forest” classifier, closely followed by “Trees J48” and “Multilayer Perceptron” classifiers (decision tree and neural network approaches). …”
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Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer by Zhuang Li, Yi Su, Yongbin Cui, Yong Yin, Zhenjiang Li

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Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning by Zhenhai Gao, Dayu Liu, Chengyuan Zheng

“…This framework is structured into three modules: vehicle perception, decision-making, and execution. …”
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Decision-Making preferences in advanced cancer patients: associations with sociodemographic and psychological factors by Caterina Calderon, Ana Fernández-Montes, Marina Gustems, Lucia Roncero, Jesús Peña-López, Elena Asensio-Martínez, Mar Muñoz-Sánchez, Paula Jimenez-Fonseca

“…The Control Preferences Scale was used to classify patients into three profiles: Patient Control (decisions mainly made by the patient), Shared Control (decisions made jointly with the physician), and Physician Control (decisions primarily led by the physician). …”
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Risk Prediction Score for Thermal Mapping of Pharmaceutical Transport Routes in Brazil by Clayton Gerber Mangini, Nilsa Duarte da Silva Lima, Irenilza de Alencar Nääs

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Study on Optimal Decision of Unit Commitment with Flexible Reserve Participation in Power Grid by ZHOU Yi, LI Yichen, FU Youshu, QIN Kangping, ZHU Wen, FAN Dongqi

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Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

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Identification and synthesis of end-of-life decision-making measures: a scoping review by Patricia Bucko, Miriam A. Novack, Emily H. Ho, Berivan Ece, Evan Burleigh, Molly A. Mather, Molly A. Mather, Tatiana Karpouzian-Rogers, Elizabeth M. Dworak, Sarah Pila, Zahra Hosseinian, S. Duke Han, Peter A. Lichtenberg, Richard C. Gershon, Sandra Weintraub, Sandra Weintraub

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Changes in Metamorphopsia, Visual Acuity, and Central Macular Thickness after Epiretinal Membrane Surgery in Four Preoperative Stages Classified with OCT B-Scan Images by Jianbo Mao, Hanfei Wu, Chenyi Liu, Chenting Zhu, Jimeng Lao, Yiqi Chen, Jiwei Tao, Yun Zhang, Lijun Shen

“…The preoperative BCVA, MH, and CMT had significant difference among the three stages (P<0.05). Similarly, the postoperative values in the three variables mentioned above also had significant difference among the three stages (P<0.05). …”
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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach by P. T. Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti

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Fault Detection in Blowfish Algorithm Using FPGA-Based Modified Decision Tree Approach by Joseph Anthony Prathap, Mithileysh Sathiyanarayanan

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System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model by Jiaonan Han

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AI-aided short-term decision making of rockburst damage scale in underground engineering by Chukwuemeka Daniel, Shouye Cheng, Xin Yin, Zakaria Mohamed Barrie, Yucong Pan, Quansheng Liu, Feng Gao, Minsheng Li, Xing Huang

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