Inferring Agronomical Insights for Wheat Canopy Using Image-Based Curve Fit K-Means Segmentation Algorithm and Statistical Analysis by Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur

“…The best segmentation algorithm was confirmed by doing exhaustive comparisons of seven segmentation algorithms. …”
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Optimal sizing of battery energy storage system (BESS) for multiple applications using regression analysis and deep sleep optimizer algorithm by Chukwuemeka Emmanuel Okafor, Komla Agbenyo Folly

“…This is critical because such a frequency decline may activate the underfrequency load shedding relays.…”
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China by Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang

“…IntroductionThe unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.MethodsUAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.ResultsResults showed that PointMLP achieved the best accuracy for identification of the tree species (overall accuracy = 96.94%), followed by RF (overall accuracy = 95.62%), SVM (overall accuracy = 94.89%) and PointNet++(overall accuracy = 85.65%). …”
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Deep VMD-attention network for arrhythmia signal classification based on Hodgkin-Huxley model and multi-objective crayfish optimization algorithm. by Hang Zhao, Xiongfei Yin

“…The proposed deep VMD-attention modeling and classification strategy has shown significant promise and may offer valuable inspiration for other signal processing fields as well.…”
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Adaptation of RainGaugeQC algorithms for quality control of rain gauge data from professional and non-professional measurement networks by K. Ośródka, J. Szturc, A. Jurczyk, A. Kurcz

“…This system works operationally at the national meteorological and hydrological service in Poland. The RainGaugeQC algorithms, which have been significantly modified, are described in detail. …”
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Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm by Alireza Moradi, Seyed Mohammad Reza Hashemi, Seyed Masoud Mirrezaei

“…However, the congestion management of power systems may affect the transient stability or network voltage stability, and also reduce the system security. …”
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Using machine learning algorithms to evaluate the performance of electrocoagulation with membrane bioreactor (EC-MBR) for treatment of organic matters in domestic wastewater by Yousif Zakoor, Hatem Gzar

“…Therefore, for this study MLR algorithm was chosen. …”
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Load demand forecasting in air conditioning a rotor Hopfield neural network approach optimized by a new optimization algorithm by Mingguang Liu, Weibo Zhao, Ying Zhou, Mahdiyeh Eslami

“…The RHNN/FO-SOA method may contribute to improve energy performance and reduce costs in air conditioners, shown by the findings.…”
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Integrating hybrid bald eagle crow search algorithm and deep learning for enhanced malicious node detection in secure distributed systems by Feras Mohammed Al-Matarneh

“…This study designs a Hybrid Bald Eagle-Crow Search Algorithm and Deep Learning for Enhanced Malicious Node Detection (HBECSA-DLMND) technique in Secure Distributed Systems. …”
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Inferring causal protein signalling networks from single‐cell data based on parallel discrete artificial bee colony algorithm by Jinduo Liu, Jihao Zhai, Junzhong Ji

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Using Sono-Electro-Persulfate Process for Atenolol Removal from Aqueous Solutions: Prediction and Optimization with the ANFIS Model and Genetic Algorithm by Nasrin Zahedi, Bahare Dehdashti, Farzaneh Mohammadi, Maryam Razaghi, Zeynab Moradmand, Mohammad Mehdi Amin

“…Atenolol (ATN) is a drug that is widely used to treat some heart diseases, and since it cannot be completely decomposed in the human body, some amounts of it are found in surface water. These amounts may bring risks to the environment and humans, and for this reason, its removal is a must. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…Finally, the crayfish optimization algorithm (COA) adjusts the VAE model’s hyperparameter values, improving classification. …”
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Dynamic neutrosophic cognitive map with improved cuckoo search algorithm (DNCM-ICSA) and ensemble classifier for rheumatoid arthritis (RA) disease by B. Chithra, R. Nedunchezhian

“…The disease of the patients may be avoided from getting to the severe stages. …”
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Development of a Secured IoT-Based Flood Monitoring and Forecasting System Using Genetic-Algorithm-Based Neuro-Fuzzy Network by Hero Rafael Castillo Arante, Edwin Sybingco, Maria Antonette Roque, Leonard Ambata, Alvin Chua, Alvin Neil Gutierrez

“…The paper aims to provide a flood prediction system in the Philippines to increase flood awareness, which may help reduce property damage and save lives. …”
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Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations by Anders Björkelund, Mattias Ohlsson, Jakob Lundager Forberg, Arash Mokhtari, Pontus Olsson de Capretz, Ulf Ekelund, Jonas Björk

“…Abstract Objective Computerized decision‐support tools may improve diagnosis of acute myocardial infarction (AMI) among patients presenting with chest pain at the emergency department (ED). …”
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Computationally Enhanced UAV-Based Real-Time Pothole Detection Using YOLOv7-C3ECA-DSA Algorithm by Siti Fairuz Mat Radzi, Mohd Amiruddin Abd Rahman, Muhammad Khairul Adib Muhammad Yusof, Nurin Syazwina Mohd Haniff, Romi Fadillah Rahmat

“…However, the model performance may be limited in severe environmental conditions, such as low-contrast surfaces or heavily obscured potholes. …”
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Validation study of health administrative data algorithms to identify individuals experiencing homelessness and estimate population prevalence of homelessness in Ontario, Canada by Lucie Richard, Stephen W Hwang, Cheryl Forchuk, Rosane Nisenbaum, Kristin Clemens, Kathryn Wiens, Richard Booth, Mahmoud Azimaee, Salimah Z Shariff

“…Specificities exceeded 99% and positive likelihood ratios were high using both definitions. The most optimal algorithm estimates that 59 974 (95% CI 55 231 to 65 208) Ontarians (0.53% of the adult population) experienced homelessness in 2016, a 67.3% increase from 2007.Conclusions In Ontario, case ascertainment algorithms for identifying homelessness had low sensitivity but very high specificity and positive likelihood ratio. …”
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Use of clinical algorithms and rapid influenza testing to manage influenza-like illness: a cost-effectiveness analysis in Sri Lanka by L Gayani Tillekeratne, Champica Bodinayake, Ajith Nagahawatte, Ruvini Kurukulasooriya, Lori A Orlando, Ryan A Simmons, Lawrence P Park, Christopher W Woods, Shelby D Reed

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Complete testing coverage for the early infant diagnosis algorithm and associated factors among infants exposed to HIV, Uganda, 2017-2019. by Rebecca Akunzirwe, Julie R Harris, Peter Chris Kawungezi, Mercy W Wanyana, Tom Lutalo, Phoebe Monalisa Namukanja, Augustina Delaney, Richard Migisha, Esther Nyamugisa, Doreen Ondo, Philip Kasibante, Daniel Kadobera, Lilian Bulage, Jane Frances Zalwango, Alex Riolexus Ario, Linda Kisaakye Nabitaka

“…Interventions to address stigma and sexual violence for mothers may improve CTC for the EID algorithm. Investigations are needed to explore associations between sexual violence, parity, and CTC for the EID algorithm.…”
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Mean Nocturnal Baseline Impedance (MNBI) Provides Evidence for Standardized Management Algorithms of Nonacid Gastroesophageal Reflux-Induced Chronic Cough by Yiqing Zhu, Tongyangzi Zhang, Shengyuan Wang, Wanzhen Li, Wenbo Shi, Xiao Bai, Bingxian Sha, Mengru Zhang, Siwan Wen, Cuiqin Shi, Xianghuai Xu, Li Yu

“…Proximal MNBI < 2140 Ω may be used to screen patients with nonacid GERC suitable for standard antireflux therapy and in standardized management algorithms for nonacid GERC. …”
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