SMOTE-LOF for noise identification in imbalanced data classification by Asniar, Nur Ulfa Maulidevi, Kridanto Surendro

“…Therefore, this study aims to improve SMOTE to identify the noise from synthetic minority data produced in handling imbalanced data by adding the Local Outlier Factor (LOF). …”
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Adaptive multimodal user interface techniques for mobile augmented reality: Frameworks, modalities and user interaction by Arvind Ramtohul, Kavi Kumar Khedo

“…However, traditional MAR systems predominantly rely on unimodal interaction techniques and the exploitation of user and contextual data has been moderate. …”
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Optimization Techniques for Physician Scheduling Problem: A Systematic Review of Recent Advancements and Future Directions by Norizal Abdullah, Masri Ayob, Meng Chun Lam, Nasser R. Sabar, Graham Kendall, Mohamad Khairulamirin Md Razali

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A minimally invasive technique of core decompression and cancellous bone grafting of femoral head osteonecrosis by P.B. Rajeev, M. Jyothiprasanth, Albin Savio, Shery Valsan, C.R. Jithin

“…Methods: Clinical data from patients diagnosed with AVN and treated using the minimally invasive novel technique were retrospectively analyzed. …”
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Anterior Cruciate Ligament Reconstruction: 3-Incision Technique With Allograft Quad Tendon ACL Reconstruction by Kevin R. Stone MD

“…While some data suggest higher re-rupture risk with donor tissue, this is counterbalanced by avoiding secondary surgical site damage. …”
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Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study. by Xueliang Guo, Lin Sun

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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

“…Abstract With the rapid growth of the Internet of Things (IoT) and the emergence of big data, handling massive amounts of data has become a major challenge. …”
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A neural networks technique for analysis of MHD nano-fluid flow over a rotating disk with heat generation/absorption by Yousef Jawarneh, Humaira Yasmin, Wajid Ullah Jan, Ajed Akbar, M. Mossa Al-Sawalha

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Assessing the Health of Akamkpa Forest Reserves in Southeastern Part of Nigeria Using Remote Sensing Techniques by Elijah S. Ebinne, Ojima I. Apeh, Raphael I. Ndukwu, Edebo J. Abah

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Comparison between Logistic Regression and K-Nearest Neighbour Techniques with Application on Thalassemia Patients in Mosul by Mohammed Al jbory, Hutheyfa Taha

“…This change leads to a decrease in the number, quality, and condition of red blood platelets and an increase in the rate of red blood platelet damage, which leads to iron accumulation in the body and a decrease in hemoglobin in the blood. This project aims to develop a model to predict thalassemia using the nearest neighbor technique and the logistic regression model based on the model evaluation criteria: accuracy, recall, precision, F1-score, and AUC. …”
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FUZZY TIME SERIES BASED ON THE HYBRID OF FCM WITH CMBO OPTIMIZATION TECHNIQUE FOR HIGH WATER PREDICTION by Nursyiva Irsalinda, Dera Kurnia Laely, Sugiyarto Surono

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Multi-resolution analysis of gravity anomalies: A comparative study of modern and spherical approximation techniques by Kolawole S. ILESANMI, Herbert TATA, Ifechukwu U. NZELIBE, Timothy O. IDOWU

“…These approximations, however, result in some inaccuracies in prospecting for underground minerals using satellite gravimetric data. This study aims to perform a multi-resolution analysis for interpreting satellite-obtained gravity anomalies computed by the modern approach and spherical approximation to determine the performances of both gravity anomaly computation techniques for mineral exploration. …”
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Supervised learning and resampling techniques on DISC personality classification using Twitter information in Bahasa Indonesia by Ema Utami, Irwan Oyong, Suwanto Raharjo, Anggit Dwi Hartanto, Sumarni Adi

“…Using a combination of NLP techniques and machine learning, the authors aim to develop a better approach and more robust model, especially for the Indonesian language. …”
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A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

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EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

“…This research aims to provide insights into the optimal integration of feature selection techniques with advanced machine learning models for accurate prediction of COVID-19 virus.…”

Bridging Theory and Practice: A Review of AI-Driven Techniques for Ground Penetrating Radar Interpretation by Lilong Zou, Ying Li, Kevin Munisami, Amir M. Alani

“…This review investigates recent developments in AI-driven techniques for GPR interpretation, with a focus on machine learning, deep learning, and hybrid approaches that incorporate physical modeling or multimodal data fusion. …”
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Olympics: Improving the Competition Strategy in Each Skill Technique of Elite Swimmers for the 400 meters Freestyle by Waristra Tyo Nirwansyah, Bayu Agung Pramono, Gigih Siantoro, Muhammad, I Dewa Made Aryananda Wijaya Kusuma, Muhammad Kharis Fajar, Mohamad Rozi bin Yacob

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Enhancing methyldopa solubility via green supercritical fluid techniques using ethanol co-solvent by Hadil Faris Alotaibi, Suleiman Ibrahim Mohammad, Asokan Vasudevan, Suranjana V. Mayani, Suhas Ballal, Munthar Kadhim Abosaoda, Abhayveer Singh, Subhashree Ray, Atreyi Pramanik

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Ensemble of hybrid model based technique for early detecting of depression based on SVM and neural networks by Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, Sultan Alfarhood, M. F. Mridha, Dunren Che

“…The training data class imbalance was reduced by applying the synthetic minority oversampling technique (SMOTE) and cluster sampling together, which improved the accuracy for detecting depression. …”
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A comprehensive review of yttrium aluminum nitride: crystal structure, growth techniques, properties, and applications by N. Afshar, M. Yassine, O. Ambacher

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