Application of large language models in disease diagnosis and treatment by Xintian Yang, Tongxin Li, Qin Su, Yaling Liu, Chenxi Kang, Yong Lyu, Lina Zhao, Yongzhan Nie, Yanglin Pan, Yuanyuan Ji

“…Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…In this stage, the filtered audio is represented as a graph using the proposed spiral pattern information extraction method. Graph coloring algorithms are applied to convert the graph into a visual representation, which is then input into a specially designed Convolutional Neural Network (CNN) model for classification. …”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

“…Notably, this surpasses the capabilities of other models that rely on amalgamations of machine learning algorithms and feature dimensionality reduction methods. …”
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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

“…Key water quality parameters—Sea Surface Temperature (SST), Total Suspended Solids (TSS), Turbidity, Salinity, and pH—were predicted through ML algorithms and interpolated using the Empirical Bayesian Kriging (EBK) model in ArcGIS Pro. …”
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Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life by Christopher Wett, Jörg Lampe, Dominik Görick, Thomas Seeger, Bugra Turan

“…The dV/dQ characteristics are chosen as features and four machine learning algorithms are trained on different lengths of OCV curves. …”
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A Novel Method to Evaluate the Effect of Slope Blasting under Impact Loading by Wenhai Zhou, Zhenbao Li, Xin Wu, Shujiang Wang, Yaru Lv, Xiaoming Lou, Chaofei Du, Rui Liang

“…The validity index of the maximum membership principle is used to assess the accuracy of the evaluation results of two algorithms, and a relevant approaching degree is chosen to optimize the results. …”
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Diagnosis and treatment of disorders of intracranial pressure: consensus statement of the Spanish Society of Neurology’s Headache Study Group by J. García-Ull, N. González-García, M. Torres-Ferrús, D. García-Azorín, I.F.J. Molina-Martínez, I. Beltrán-Blasco, S. Santos-Lasaosa, G. Latorre, A.B. Gago-Veiga, J.M. Láinez, J. Porta-Etessam, C. Nieves-Castellanos, A. Mínguez-Olaondo, A. López-Bravo, S. Quintas, N. Morollón, S. Díaz-Insa, R. Belvís, P. Irimia

“…Therefore, the Spanish Society of Neurology's Headache Study Group (GECSEN) deemed it necessary to prepare this consensus statement, including diagnostic and therapeutic algorithms to facilitate and improve the management of these disorders in clinical practice.This document was created by a committee of experts belonging to GECSEN, and is based on a systematic review of the literature, incorporating the experience of the participants, and establishes practical recommendations with levels of evidence and grades of recommendation. …”
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To be or not to be, when synthetic data meet clinical pharmacology: A focused study on pharmacogenetics by Jean‐Baptiste Woillard, Clément Benoist, Alexandre Destere, Marc Labriffe, Giulia Marchello, Julie Josse, Pierre Marquet

“…We also investigated the effect of applying the algorithms multiple times to improve results stability in terms of HR estimation. …”
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Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments by Miracle Udurume, Taewoong Hwang, Raihan Uddin, Toufiq Aziz, Insoo Koo

“…Future work will focus on enhancing the anomaly detection model for greater accuracy, expanding scalability through additional communication protocols, like LoRaWAN, and incorporating adaptive algorithms for real-time network optimization.…”
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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…Benefiting from continuous innovations in deep learning algorithms, the accuracy of building change detection (BCD) in remote sensing (RS) has significantly improved. …”
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Deep Learning Model for CS-Based Signal Recovery for IRS-Assisted Near-Field THz MIMO System by Vaishali Sharma, Prakhar Keshari, Sanjeev Sharma, Kuntal Deka, Ondrej Krejcar, Vimal Bhatia

“…Simulation results for symbol error rate (SER) and normalized mean square error (NMSE) performance indicate that the proposed DL-based receiver outperforms conventional recovery algorithms based on orthogonal matching pursuit (OMP) CS-recovery and dictionary-shrinkage estimation (DSE).…”
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Exploring the feasibility of near-infrared spectroscopy in analyzing and predicting the chemical and biochemical changes of chitin-amended soils by Ken Abamba Omwange, Ana Chen, Renfu Lu, Carly Daiek, Julie Celini, Yan Liu

“…This study demonstrates the potential of NIR  spectroscopy coupled with partial least squares algorithms as a rapid, cost-effective method for estimating soil biochemical properties. …”
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Integrated Transcriptome Analysis Reveals Novel Molecular Signatures for Schizophrenia Characterization by Tong Ni, Yu Sun, Zefeng Li, Tao Tan, Wei Han, Miao Li, Li Zhu, Jing Xiao, Huiying Wang, Wenpei Zhang, Yitian Ma, Biao Wang, Di Wen, Teng Chen, Justin Tubbs, Xiaofeng Zeng, Jiangwei Yan, Hongsheng Gui, Pak Sham, Fanglin Guan

“…Shared differential expression genes are obtained using three algorithms. Support vector machine (SVM)‐based recursive feature elimination is employed to identify DREGs. …”
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Advancing Alzheimer's Therapy: Computational strategies and treatment innovations by Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, Tooba Gulzar, Muhammad Talal Rahim Afghan, Omar Faruk Talukder, Samar Shahzadi, Ajit Ghosh

“…Moreover, machine learning algorithms enhance early diagnosis and enable precision medicine strategies by analyzing multi-modal datasets. …”
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A Study of Real-time Detection Methods for Solar Radio Burst Identification by YongLin Yu, ChengLong Qiao, Shuo Xu, QinZheng Li, YanRui Su, HongQiang Song, FaBao Yan

“…Spectrum analysis conducted manually or with traditional image processing algorithms is limited by low efficiency and accuracy. …”
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The clinical application of artificial intelligence in cancer precision treatment by Jinyu Wang, Ziyi Zeng, Zehua Li, Guangyue Liu, Shunhong Zhang, Chenchen Luo, Saidi Hu, Siran Wan, Linyong Zhao

“…Observations By collecting and integrating large volumes of data and applying it to clinical tasks across various algorithms and models, artificial intelligence plays a significant role in cancer precision medicine. …”
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Sustainability-driven fertilizer recommender system for coffee crops using case-based reasoning approach by Edinson David León Chilito, Juan Fernando Casanova Olaya, Juan Fernando Casanova Olaya, Juan Carlos Corrales, Cristhian Figueroa

“…Future work will expand the case base and refine recommender algorithms to improve accuracy and usability.…”
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AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing by Rajnish Rakholia, Andres L. Suarez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

“…Recognizing the potential of advanced computational techniques, machine learning algorithms have demonstrated promising results across various predictive tasks in recent years. …”
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Real-Time Needle Force Modeling for VR-Based Renal Biopsy Training with Respiratory Motion Using Direct Clinical Data by Feiyan Li, Yonghang Tai, Qiong Li, Jun Peng, Xiaoqiao Huang, Zaiqing Chen, Junsheng Shi

“…Clinical evaluation is conducted and performed in the Yunnan First People’s Hospital, which not only demonstrated a higher fitting degree (AVG: 99.36%) with the intraoperation data than previous algorithms (AVG: 87.83%, 72.07%, and 66.70%) but also shows a universal fitting range with multilayer tissue. 27 urologists comprising 18 novices and 9 professors were invited to the VR-based training evaluation based on the proposed haptic rendering solution. …”
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Cultivating clean skies: unveiling the tapestry of air quality in Gujarat through innovative machine learning analysis by Gaddam Advitha, Allada Nagasai Varaprasad, Koti Vennela Khushi, Pullabhotla Vijay, Sukanta Nayak

“…This research delves into the utilization of Machine Learning (ML) algorithms, specifically Random Forest (RF) and XGBoost, to predict AQIs in Gujarat. …”
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