Predictive machine learning algorithm for COPD exacerbations using a digital inhaler with integrated sensors by Michael Reich, Njira Lugogo, Laurie D Snyder, Megan L Neely, Guilherme Safioti, Randall Brown, Michael DePietro, Roy Pleasants, Thomas Li, Lena Granovsky

“…Purpose By using data obtained with digital inhalers, machine learning models have the potential to detect early signs of deterioration and predict impending exacerbations of chronic obstructive pulmonary disease (COPD) for individual patients. This analysis aimed to determine if a machine learning algorithm capable of predicting impending exacerbations could be developed using data from an integrated digital inhaler.Patients and methods A 12-week, open-label clinical study enrolled patients (≥40 years old) with COPD to use ProAir Digihaler, a digital dry powder inhaler with integrated sensors, to deliver their reliever medication (albuterol, 90 µg/dose; 1–2 inhalations every 4 hours, as needed). …”
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DEVELOPMENT AND JUSTIFICATION OF THE ESTIMATION ALGORITHM OF THE BONE SYSTEM METABOLISM IN CHILDREN WITH TYPE 1 DIABETES MELLITUS by L. G. Ivchenko, I. M. Bykov, A. A. Basov, F. N. Gilmiyarova, D. A. Domenyuk, G. M.-A. Budaychiev, S. O. Ivanyuta

“…Aim. This study was conducted to develop the optimal methodological approaches to early diagnosis and comprehensive treatment of type 1 diabetes mellitus in children by creating an estimation algorithm of the bone system metabolism based on the results of the studies of calcium phosphorus metabolism, calcium-regulating hormones and bone mineral density.Materials and methods. …”
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Peculiarities of the algorithm of diagnostics of oral mucosa pathology in patients with Crohn’s disease and nonspecific ulcerative colitis by I. N. Usmanova, R. D. Yunusova, I. А. Lakman, L. P. Gerasimova, A. N. Ishmukhametova, A. P. Akopyan, G. F. Amineva, N. А. Makarova, E. Yu. Startseva

“…Oral lesions that remain undiagnosed may subsequently be difficult to manage with therapeutic and preventive measures.AIM. To evaluate the developed diagnostic algorithm for oral mucosal pathology in patients with CD and UC.MATERIALS AND METHODS. …”
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Dynamic performance improvement of oscillating water column wave energy conversion system using optimal walrus optimization algorithm-based control strategy by Habiba A. ElDemery, Hany M. Hasanien, Mohammed Alharbi, Chuanyu Sun, Dina A. Zaky

“…The optimal design of the proportional-integral (PI) controller using the walrus optimization algorithm (WOA) with the aim to enhance the dynamic performance of a grid-connected wave energy conversion (WEC) system when subjected to diverse operational conditions is presented in this paper. …”
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APLIKASI ALGORITMA GENETIKA DALAM PENJADWALAN MATA KULIAH by Ferdinandus Mone, Justin Eduardo Simarmata

“…Making a class schedule becomes problem and takes a long time because of several obstacles such as the lack of lecture rooms, the lack of teaching staff, and the high of courses available in one semester. This study aims to apply genetic algorithms in making class schedules to facilitate the process of making class schedules. …”
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ESTIMATION OF MAXIMUM LIKELIHOOD WEIGHTED LOGISTIC REGRESSION USING GENETIC ALGORITHM (CASE STUDY: INDIVIDUAL WORK STATUS IN MALANG CITY) by Dahlia Gladiola Rurina Menufandu, Rahma Fitriani, Eni Sumarminingsih

“…This study aims to estimate the Maximum Likelihood Weighted Logistic Regression with the applied genetic algorithm and determine the significant variables that affect the working status of individuals in Malang City. …”
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Rationale for a New Outpatient Drug Therapy Algorithm in COVID-19 Patients Based on the Principle of «Multi-hit» Approach by K. A. Zykov, E. A. Sinitsyn, A. V. Rvacheva, A. O. Bogatyreva, A. A. Zykova, T. V. Shapovalenko

“…The aim of the work was to justify the algorithm of outpatient drug therapy in patients with COVID-19, based on the principle of «Multi-hit» Approach. …”
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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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Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system by Jian Chen, Yuwei Wang, Xin Ye, Mo Chen, Qun Zhou

“…Aiming at solving super-resolution restoration problem of infrared image, self-supervised super resolution restoration algorithm is proposed and optimized. …”
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Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit by LIU Yue, LIN Jun, LUO Xiao, CHU Wei, LIU Ren

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Research on axle-box bearing fault feature extraction algorithm based on simulation test and BOA-VMD by ZHANG Dongxing, YANG Gang, ZHOU Ao, QIN Limu, WEI Yuqian, YAN Lei

“…Aiming at the problem that axle-box bearing faults are difficult to find during the operation of urban rail trains, a bearing fault feature extraction based on variational mode decomposition (VMD) parameter optimization using butterfly optimization algorithm (BOA) was proposed. …”
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MAT-PointPillars: Enhanced PointPillars algorithm based on multi-scale attention mechanisms and transformer. by Xinpeng Yao, Peiyuan Liu, Jingmei Zhou, Zijian Wang, Songhua Fan, Yuchen Wang

“…Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”
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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

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A Self-Adaptive Parameter Optimization Algorithm in a Real-Time Parallel Image Processing System by Ge Li, Xuehe Zhang, Jie Zhao, Hongli Zhang, Jianwei Ye, Weizhe Zhang

“…Aiming at the stalemate that precision, speed, robustness, and other parameters constrain each other in the parallel processed vision servo system, this paper proposed an adaptive load capacity balance strategy on the servo parameters optimization algorithm (ALBPO) to improve the computing precision and to achieve high detection ratio while not reducing the servo circle. …”
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Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algorithm. by Guanyong Liu, Shuai Zhang, Lixin Wang, Xiaoran Li, Gongchen Li

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Bearing Fault Diagnosis Based on IPOA-VMD and SSA-HKELM by Baoxian Chang, Xing Zhao, Dawei Guo, Siyu Zhao, Jiyou Fei, Hua Li, Xiaodong Liu

“…This study presents a novel fault diagnosis approach for rolling bearings that integrates the Improved Pelican Optimization Algorithm (IPOA) for optimizing Variational Mode Decomposition (VMD) and the Sparrow Search Algorithm (SSA) for optimizing the Hybrid Kernel Extreme Learning Machine (HKELM). …”
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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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OPTIMIZING THE PROCESS OF PICK-UP AND DELIVERY WITH TIME WINDOWS USING ANT COLONY AND TABU SEARCH ALGORITHMS by Imas Saumi Amalia, Toni Bakhtiar, Jaharuddin Jaharuddin

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Pre-hospital management of penetrating neck injuries: derivation of an algorithm through a National Modified Delphi by Christopher Simpson, Harriet Tucker, Joanne Griggs, Maja Gavrilovski, Richard Lyon, Anthony Hudson, Air Ambulance Charity Kent Surrey Sussex

“…Multi-professional national consensus on the best approach to manage these injuries alongside a novel PNI management algorithm aims to optimise time critical care and by extension improve patient outcomes.…”
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Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms by Hossam M. J. Mustafa, Masri Ayob

“…Hence, this paper proposes an enhanced connectivity measure based on the outlier detection approach for multi-objective data clustering problems. The proposed algorithm aims to improve the quality of the solution by utilising the local outlier factor method (LOF) with the connectivity validity measure. …”
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