Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida, Abdullah Berkay Bayindir, Sertac Bayhan, Haitham Abu-Rub

“…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
Get full text

Artificial intelligence technology in ophthalmology public health: current applications and future directions by ShuYuan Chen, Wen Bai, Wen Bai

“…Key issues include interoperability with electronic health records (EHR), data security and privacy, data quality and bias, algorithm transparency, and ethical and regulatory frameworks. …”
Get full text

Quantitative structure-activity relationship study of some angiotensin-converting enzyme inhibitor drugs in the treatment of hypertension based on Monte Carlo optimization method by Shahram Lotfi, Shahin Ahmadi, Ali Azimi

“…Angiotensin-converting-enzyme inhibitors are primarily used in treating this condition. The aim of this work was to develop quantitative structure-activity relationship (QSAR) models to predict the activity of some chemical compounds as angiotensin I-converting enzyme inhibitors using CORAL software. …”
Get full text

State of Health Estimation of Lithium-Ion Batteries Using Fusion Health Indicator by PSO-ELM Model by Jun Chen, Yan Liu, Jun Yong, Cheng Yang, Liqin Yan, Yanping Zheng

“…This optimization enhances the ELM’s performance, addressing instability issues in the standard algorithm. The proposed PSO-ELM model demonstrates superior accuracy in SOH prediction compared with ELM and other methods. …”
Get full text

Modeling and Control for an Aerial Work Quadrotor with a Robotic Arm by Wenwu Zhu, Fanzeng Wu, Haibo Du, Lei Li, Yao Zhang

“…Finally, comparative simulations with the integral sliding mode controller (ISMC), sliding mode controller (SMC), and PID controller demonstrate that the proposed algorithm reduces the regulation time by more than 45% compared to ISMC and SMC, and decreases the overshoot by at least 68% compared to the PID controller, which improves the convergence performance and disturbance rejection capability of the closed-loop system.…”
Get full text

Predicting filtration coefficient and formation damage coefficient for particle flow in porous media using machine learning by Xuejia Du, George K. Wong

“…Collected data were randomly partitioned into training (80 %) and testing (20 %) subsets. Four regression algorithms were employed, treating λ or γ as the target variable, with injection velocity (um), particle concentration (Cin), and ratio of mean pore size (Dpore) to mean particle size (Dp) as features. …”
Get full text

Image Guided Percutaneous Cholecystostomy–A Single Center Experience by Sathya Narayanan, Shyamkumar N. Keshava, Vinu Moses, Munawwar Ahmed, Aswin Padmanabhan, Philip Joseph

“…Conclusion Image-guided PCC can be performed safely and is effective for treating high-risk patients with acute cholecystitis.…”
Get full text

Electric Vehicle Energy Management Under Unknown Disturbances from Undefined Power Demand: Online Co-State Estimation via Reinforcement Learning by C. Treesatayapun, A. J. Munoz-Vazquez, S. K. Korkua, B. Srikarun, C. Pochaiya

“…Comparative evaluations are conducted against two benchmark controllers: one designed to maintain a constant state of charge and another based on a soft actor–critic learning algorithm.…”
Get full text

Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

“…The mainstream method for treating drug-resistant epilepsy (DRE) is surgical resection of the epileptogenic zone. …”
Get full text

Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke by Ethan Phillips, Odhran O’Donoghue, Yumeng Zhang, Panos Tsimpos, Leigh Ann Mallinger, Stefanos Chatzidakis, Jack Pohlmann, Yili Du, Ivy Kim, Jonathan Song, Benjamin Brush, Stelios Smirnakis, Charlene J. Ong, Agni Orfanoudaki

“…Abstract In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need quantitative tools for real-time risk assessment. …”
Get full text

Machine Learning-Potato Leaf Disease Detection App (MR-PoLoD) by Ahmad Fauzi, Annisya E Chandra, Sofyah Imammah, Malvin Zapata, Marza I Marzuki, Soni Prayogi

“…However, there are challenges for farmers in growing potatoes. Such as treating potatoes for various diseases. 2 diseases will occur in potato plants if not treated quickly, namely early blight disease caused by the fungus Alternaria solani and late blight disease caused by the microorganism Phytophthora infestans. …”
Get full text

Abdominal pregnancy: two cases of critical obstetric conditions with different perinatal outcomes. Case report by Tatiana E. Belokrinitskaya, Nataly I. Frolova, Anna A. Kustova, Ekaterina Y. Nikolaeva, Anastasiya O. Zolotukhina, Tatiana M. Barkan, Natalia N. Byshina

“…Despite using advanced imaging techniques in prenatal diagnosis, diagnosing and treating AP remain challenging. Progressive advanced AP may remain undiagnosed for a long time due to the absence of specific clinical symptoms, errors in the interpretation of echographic patterns by radiologists, and a lack of alertness due to the rarity of this type of EP. …”
Get full text

Comparative reinfection rate of one-stage versus two-stage revision in the management of periprosthetic joint infection following total hip arthroplasty: a meta-analysis by Yueying Qin, Zeshou Liu, Liwen Li, Yuxing Yang, Xiaomeng Huang, Weiming Liang, Longbao Lin

“…Abstract Background Debates persist on the optimal surgical approach for treating Periprosthetic joint infection (PJI) following total hip arthroplasty (THA). …”
Get full text

Molecular predictive biomarker testing in advanced thyroid cancer – a European consensus by Aleš Ryška, Jaume Capdevila, Matthias S Dettmer, Rossella Elisei, Dagmar Führer, Julien Hadoux, Barbara Jarząb, Laura D Locati, Kate Newbold, Giovanni Tallini, Silvia Uccella, Lori Wirth, Ravinder Singh, Iris M Simon, Pilar Camacho, Laura Fugazzola

“…This expert opinion article outlines consensus testing algorithms for differentiated TC, medullary TC, and anaplastic TC from a team of endocrinologists, oncologists, molecular biologists, and pathologists to provide standardized recommendations for physicians involved in treating patients with advanced TC. …”
Get full text

A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification by Goluguri N.V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, Gurpreet Singh Chhabra, Kshira Sagar Sahoo, Amir H. Gandomi

“…To boost the model's predictive accuracy, the Chaotic Honey Badger Algorithm (CHBA) is employed to optimize the CNN hyperparameters, resulting in an impressive average accuracy of 93.5 %. …”
Get full text

AFF3 is a Prognostic Biomarker Correlated with Immune Infiltrates in Triple-Negative Breast Cancer by Jing Chen, Bing Tan, Wei Zhuang, Tenghua Yu, Jianglong Li, Chongwu He

“…Background: Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer that cannot be treated with targeted therapies such as endocrine therapy or anti-HER-2 (anti-human epidermal growth factor receptor 2) therapy. …”
Get full text

Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets by Lechen Yang, Weifeng Shang, Dongjie Chen, Hang Qian, Sheng Zhang, Xiaojun Pan, Sisi Huang, Jiao Liu, Dechang Chen

“…The DoRothEA regulator algorithm showed TFs such as IRF4, ARID3A, FOXO4, and ATF2 were activated in high propionate metabolism subgroups, whereas NR5A1, BCL6, and CDX2 were activated in low subgroups. …”
Get full text

Optimization of diagnostics of retinopathy of prematurity stages based on the integration of clinical data using the Key to Diagnosis I software by O. A. Pererva, M. A. Kovalevskaya

“…Despite the improvement of algorithms of preterm infants’ management, methods for predicting, diagnosing and treating ROP remains a vital issue.   …”
Get full text

Androgens and severity of the new coronavirus infection course by A. A. Gritskevich, Ya. D. Prokhorova, T. P. Baitman, E. Yu. Gritskevich, A. A. Kostin

“…This is especially important for understanding the features of the new coronavirus infection in patients with prostate cancer (PC), including for the development of a therapeutic algorithm, indications and contraindications to certain methods of treating PC in a pandemic, as well as ways of additional therapeutic effects when combined with PC and COVID‑19.The review presents the results of studies on the potential mechanisms of increased susceptibility of men to SARS‑CoV‑2 and discusses the search for new therapeutic targets in COVID‑19, discusses the features of the course of COVID‑19 in patients with PC depending on the level of androgens, including androgen deprivation therapy (ADT).…”
Get full text

Reinforcement Learning-Driven Secrecy Energy Efficiency Maximization in RIS-Enabled Communication Systems by Akram Y. Sarhan, Osamah A. Abdullah, Hayder Al-Hraishawi, Faisal S. Alsubaei

“…We introduce an innovative framework that utilizes the deep deterministic policy gradient (DDPG) algorithm to address the challenges of the MDP. Our extensive simulations show that our method works much better than current techniques using deterministic policy gradients, like the proximal policy optimization (PPO) framework, in improving SEE. …”
Get full text