The augmented reality-aided navigation system may improve rotational alignment of the tibial baseplate in total knee arthroplasty by Sachiyuki Tsukada, Hiroyuki Ogawa, Masayoshi Saito, Shizuka Minagawa, Miki Kurita, Naoyuki Hirasawa

“…To assess alignment, the three-dimensional coordinates of the lower limb from preoperative CT data were overlaid onto postoperative CT data using a surface-matching algorithm. Results The absolute difference between the anteroposterior axis and the rotational angle of the tibial baseplate was significantly smaller in the AR-aided group compared to the control group (3.7 ± 3.4° vs. 5.1 ± 4.4°, p = 0.047). …”
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Optimization location routing problem (LRP) of humanitarian aid distribution in Sigi district using NSGA II methods by Serli Bombang, Bonivasius Prasetya Ichiarto, Humiras Hardi Purba

“…It utilizes the NSGA-II algorithm for multi-objective optimization and the Displaced Ideal Solution (DIS) method to select the best solution from the Pareto front.…”
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ALGORITHMIZATION OF COMPUTER DESIGNING OF FOUNDRY DETAILS WITH THE HELP OF CAD-SYSTEMS by A. N. Chichko, T. V. Matjushinets, L. V. Markov

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Congestion control algorithms in wireless sensor networks: Trends and opportunities by Syed Afsar Shah, Babar Nazir, Imran Ali Khan

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Mathematical Models and Algorithms of Optimal Load Management of Electricity Consumers by I. U. Rakhmonov, K. M. Reymov

“…Alignment load profile with a view to reducing costs can be implemented with the aid of consumers’ involvement by administrative and economic measures. …”
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Combined approximation algorithms for interactive design of road routes in CAD by D. A. Karpov, V. I. Struchenkov

“…The aim of the work is to create algorithms for approximating a sequence of points on a plane by arcs of clothoids and circles. …”
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Deep learning based energy-efficient transmission control for STAR-RIS aided cell-free massive MIMO networks by Chihyun Song, Donghyun Lee, Yunseong Lee, Wonjong Noh, Sungrae Cho

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Smartphone-derived multidomain features including voice, finger-tapping movement and gait aid early identification of Parkinson’s disease by Wee-Shin Lim, Sung-Pin Fan, Shu-I Chiu, Meng-Ciao Wu, Pu-He Wang, Kun-Pei Lin, Yung-Ming Chen, Pei-Ling Peng, Jyh-Shing Roger Jang, Chin-Hsien Lin

“…We investigated whether smartphone-derived multimodal features combined with machine learning algorithms can aid in early PD identification. We recruited 496 participants, split into a training cohort (127 PD patients during “on” phase and 198 age-matched controls) and a test dataset (86 patients during “off” phase and 85 age-matched controls). …”
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Postpartum depression risk prediction using explainable machine learning algorithms by Xudong Huang, Lifeng Zhang, Chenyang Zhang, Jing Li, Chenyang Li

“…Feature selection was performed using LASSO regression and the Boruta algorithm. Eight machine learning algorithms were then employed to construct the prediction models. …”
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Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture by Layla M. Martínez Guevara, Pablo Javier Vidal, Ana Carolina Olivera, Emmanuel N. Millán

“…Results show that data type does not influence algorithm choice, and patterns related to data size behaviour are identified, aiding in defining security strategies.…”
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A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing by Peng Zhang, Mengyu Jin, Ming Wang, Jie Zhang, Junjie He, Peng Zheng

“…Pioneer researches on multi-objective batch machines scheduling mainly focus on evolutionary algorithms, failing to meet the online scheduling demand. …”
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Reactive Infectious Mucocutaneous Eruption (RIME): Narrative Review and Proposed Management Algorithm by Víctor García Rodríguez, Maribel Iglesias Sancho, Albert Martin Poch, Maria Teresa Fernández Figueras, Montserrat Salleras Redonnet

“…A proposed diagnostic and therapeutic algorithm is also provided to aid clinicians in clinical practice. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…In recent years, machine learning techniques have shown great promise in aiding the diagnosis and prediction of heart attacks. …”
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Micellar Enhanced Three-Dimensional Excitation-Emission Matrix Fluorescence for Rapid Determination of Antihypertensives in Human Plasma with Aid of Second-Order Calibration Method... by Hai-Yan Fu, He-Dong Li, Chuang Ni, Tian-Ming Yang, Yao Fan, Hao Zhang, Ji Yang, Lin Chen, Yuan-Bin She

“…A highly sensitive three-dimensional excitation-emission fluorescence method was proposed to determine antihypertensives including valsartan and amlodipine besylate in human plasma with the aid of second-order calibration methods based on parallel factor analysis (PARAFAC) and alternating trilinear decomposition (ATLD) algorithms. …”
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Optimization of Random Forest Algorithm with Backward Elimination Method in Classification of Academic Stress Levels by Salsabila Dani Amalia, Mula Agung Barata, Pelangi Eka Yuwita

“…The results showed that the accuracy of the Random Forest algorithm without feature selection obtained an accuracy of 86%, compared to the random forest algorithm with feature selection using the Backward Elimination method obtained a higher accuracy of 88%. …”
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Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth by Rui Zhou, Ziqian Liu, Tongtong Wu, Xianwei Pan, Tongtong Li, Kaiting Miao, Yuru Li, Xiaohui Hu, Haigang Wu, Andrew M. Hemmings, Beier Jiang, Zhenzhen Zhang, Ning Liu

“…With great advances in computer algorithms, machine learning improved the screening rates of molecules at full chemical spaces, and these molecules will present higher biological activity and targeting efficiency. …”
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Achieving high-accuracy skin cancer classification with deep learning optimized by ant colony algorithm by Amany M. Sarhan, Hesham A. Ali, Shady Yasser, Mohamed Gobara, Ahmed A. Kandil, Ghada Sherif, Esraa Moustafa

“…Hyperparameter optimization is achieved using the Ant Colony Optimization algorithm. The proposed models are evaluated on the HAM10000 dataset with standard metrics; accuracy, precision, recall, and F1-score. …”
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QSAR modeling of antimalarial activity of urea derivatives using genetic algorithm–multiple linear regressions by Abolghasem Beheshti, Eslam Pourbasheer, Mehdi Nekoei, Saadat Vahdani

“…The important descriptors were selected with the aid of the genetic algorithm (GA) method. The obtained model was validated using leave-one-out (LOO) cross-validation; external test set and Y-randomization test. …”
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Grey Wolf Optimization Algorithm-Based Hybrid Energy Storage System Controller Design for Electric Vehicles by Yasin Kabalcı, Ersan Kabalcı

“…They emit zero tailpipe emissions, thereby aiding in the reduction of air pollution and the mitigation of climate change. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…In contrast, the Random Forest, Support Vector Machine, and K-means algorithms yielded lower segmentation performance metrics. …”
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