Power Coordination Strategy for Hybrid Energy Storage in AC/DC Microgrids Based on Virtual Impedance-Fuzzy Algorithm by ZHAO Yongxi, GAO Pengchao, FAN Hong

“…This paper proposes a power coordination strategy for hybrid energy storage in AC/DC microgrids based on virtual impedance and fuzzy algorithm optimization. First, the initial power allocation for hybrid energy storage is autonomously determined using composite virtual impedance. …”
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Optimization Design of Body-in-White Stiffness Test Rig Based on the Global Adaptive Algorithm of the Hybrid Element Model by Zhaohui Hu, Shuai Mo, Huang Liu, Fuhao Mo

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State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms by Romel Carrera, Leonidas Quiroz, Cesar Guevara, Patricia Acosta-Vargas

“…This study presents a hybrid method for state-of-charge (SOC) estimation of lithium-ion batteries using LSTM neural networks optimized with genetic algorithms (GA), combined with Coulomb Counting (CC) as an initial estimator. …”
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A proposed therapeutic algorithm for colorectal cancer prevention, based on endoscopic polypectomies in patients with multiple colonic polyps by Alexandru Septimiu, Florin Dan Ungureanu, Kutasi Incze Reka, Alec Cosmin Moldovan

“…We believe that this type of stepwise algorithm-based approach in the clinical management of patients with multiple polyposis can lead to a substantial decrease in unnecessary colectomies (no matter the approach, via laparotomy or laparoscopic procedures), with the accompanying benefit of avoiding the complications and negative long-life impact that they impose.…”
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Charging pile fault prediction method combining whale optimization algorithm and long short-term memory network by Yansheng Huang, Atthapol Ngaopitakkul, Suntiti Yoomak

“…Abstract As the world’s energy structure is gradually changing, the automotive industry is shifting its focus to new energy vehicles in an effort to improve the performance and service life of the charging pile. To solve the problem that traditional models tend to fall into locally optimal solutions (i.e., the model optimization process stays in the non-optimal regional minimum) in complex parameter space, the study innovatively proposes a hybrid prediction model that combines the whale optimization algorithm with the gated recurrent unit-long short-term memory neural network. …”
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Toward a User-Accessible Spectroscopic Sensing Platform for Beverage Recognition Through K-Nearest Neighbors Algorithm by Luca Montaina, Elena Palmieri, Ivano Lucarini, Luca Maiolo, Francesco Maita

“…Proper nutrition is a fundamental aspect to maintaining overall health and well-being, influencing both physical and social aspects of human life; an unbalanced or inadequate diet can lead to various nutritional deficiencies and chronic health conditions. …”
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Biocomposite’s Multiple Uses for a New Approach in the Diagnosis of Parkinson’s Disease Using a Machine Learning Algorithm by Abdallah Al-Husban, Mustafa Mahdi Abdulridha, A. A. Hamad Mohamad, Abdelrahman Mohamed Ibrahim

“…Sometimes, it is not clear why a person in their life developed a well-known disease in the world such as Parkinson’s disease (PD). …”
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Fast-Charging Optimization Method for Lithium-Ion Battery Packs Based on Deep Deterministic Policy Gradient Algorithm by Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Zedong Zheng

“…Furthermore, compared to the basic DDPG method, the proposed algorithm shows a clear advantage in charging efficiency.…”
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Critical dimensions in strengthening education and instructor training using fuzzy based decision algorithm and CRITIC WASPAS method by Hui Zhou, RenGuo Yang

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DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification by Musa Adamu Wakili, Harisu Abdullahi Shehu, Mahdi Abdollahi, Badamasi Imam Ya'u, Md Haidar Sharif, Huseyin Kusetogullari

“…Breast cancer is one of the most prevalent and life-threatening diseases affecting women worldwide. …”
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Comparative study of indirect and direct feature extraction algorithms in classifying tea varieties using near-infrared spectroscopy by Xuefan Zhou, Xiaohong Wu, Bin Wu

“…Principal Component Analysis (PCA) was employed as a dimensionality reduction technique for indirect feature extraction algorithms. The study began with the collection of NIR spectra from different tea varieties, followed by the application of three spectral preprocessing algorithms. …”
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Treatment Algorithms for Continuous Low-Level Heat Wrap Therapy for the Management of Musculoskeletal Pain: An Italian Position Paper by Ventriglia G, Franco M, Magni A, Gervasoni F

“…Patients who receive SHT may experience a reduction in pain, restoration of muscle strength, loosening of stiffness, and an overall improvement in their quality of life. This expert opinion proposes shared algorithms for MSP treatment via local SHT with the aiming to provide practical guidance on its proper application, highlighting specific potentialities as well as contraindications.Keywords: musculoskeletal pain, superficial heat therapy, heat wraps, algorithms…”
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Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods by Mădălina Maria Muraru, Zsuzsa Simó, László Barna Iantovics

“…For this study, we chose a messy, real-life cervical cancer dataset available in the Kaggle repository that includes large amounts of missing and noisy values. …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

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Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

“…Utilizing machine learning algorithms to analyze appropriate datasets for early disease prediction could prove life-saving. …”
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Degradation-Aware Bi-Level Optimization of Second-Life Battery Energy Storage System Considering Demand Charge Reduction by Ali Hassan, Guilherme Vieira Hollweg, Wencong Su, Xuan Zhou, Mengqi Wang

“…The effectiveness of the proposed algorithm is tested as a case study of an industrial load using a real-world demand charge and Real-Time Pricing (RTP) tariff. …”
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Association of the “life’s crucial 9” cardiovascular health with all-cause and cardiovascular disease mortality: a national cohort study by Dingyuan Tu, Qiang Xu, Jie Sun, Ping Li, Chaoqun Ma

“…Abstract Background In 2022, the American Heart Association launched an updated algorithm for quantifying cardiovascular health (CVH), termed Life’s Essential 8 (LE8). …”
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MetaStackD A robust meta learning based deep ensemble model for prediction of sensors battery life in IoE environment by D. Gayathri, S. P. Shantharajah

“…These sensors operate on battery power. The battery life of the sensors limits their efficiency in operation. …”
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Mitigating distribution transformer loss of life through combined integration of rooftop solar photovoltaic installations and electric vehicle charging by Sunil Gaikwad, Hrishikesh Mehta

“…Using a Monte Carlo algorithm, we simulate typical EV usage patterns and gather RTSPV data from a detailed survey of rooftop capacities in the Modi Ganpati area of Pune, which serves as our illustrative case study. …”
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Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review by Sijing Wang, Ruoyu Zhou, Yijia Ren, Meiyuan Jiao, Honglai Liu, Cheng Lian

“…As artificial intelligence (AI) technology evolves, data-driven approaches are gaining attention in predicting lithium-ion battery's remaining useful life (RUL). Indeed, accurate RUL prediction is challenging, primarily because of the complex nature of the work and dynamic shifts in model parameters. …”
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