Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning by Shuxian Pan, Zibing Wang

“…Predictive models were constructed using three machine learning algorithms to analyze and statistically evaluate clinical characteristics, including immune cell data. …”
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Research on power plant security issues monitoring and fault detection using attention based LSTM model by Shengda Wang, Zeng Dou, Danni Liu, Han Xu, Ji Du

“…The traffic of the main network of the existing data communication network will be combined and analyzed, and NQA traffic management algorithms will be studied and proposed. These actions will improve the SLA hierarchical service capability, the service quality of the core services carried by the backbone network, and strengthen the security capability of the new energy power plant communication network access system. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…IMESc permits the customization of plots and saving the workflows into “savepoints” guarantying reproducibility. iMESc bridges the gap between the complexity of machine learning algorithms and the need for user-friendly interfaces in environmental research. …”
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Problems in the formation and implementation of the methodology for investigating homicides related to domestic violence by R. L. Stepaniuk, V. O. Husieva, V. V. Kikinchuk

“…These classifications also make it possible to detail individual elements of the methodology for investigating the category of homicide under study, including typical investigative situations, versions, tactical tasks of the investigation, algorithms of investigator's actions and tactical operations. …”
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HMOX1 as a potential drug target for upper and lower airway diseases: insights from multi-omics analysis by Enhao Wang, Shazhou Li, Yang Li, Tao Zhou

“…Candidate genes were further screened using Gene Set Enrichment Analysis (GSEA) and Random Forest (RF) algorithms. Causal inference between candidate genes and upper and lower airway diseases (CRSwNP, allergic rhinitis (AR), and asthma (AS)) was conducted using bidirectional two-sample Mendelian randomization (TwoSampleMR) analysis. …”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

“…Leveraging a comprehensive dataset from KAGGLE containing 35,126 retinal fundus images representing one healthy (normal) stage and four DR stages, our proposed model demonstrates superior accuracy compared to existing deep learning algorithms. Data augmentation techniques address class imbalance, while SAEs facilitate accurate classification through layer-wise unsupervised pre-training and supervised fine-tuning. …”
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ETHICS OF LIABILITY K.-O.APELY IN THE LANDSCAPES OF CONTRACTUALISM by Dmytro V. Usov

“…It is consistently proved that in the context of substantial interest of justification was established the algorithms of universal values of modern philosophical anthropology, which will become the core of Apel’s responsible person. …”
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Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications by Azeddine Mjahad, Antonio Polo-Aguado, Luis Llorens-Serrano, Alfredo Rosado-Muñoz

“…Traditional approaches, which rely on conventional algorithms that utilize predefined features, have exhibited limitations in representing the intricate characteristics of food items. …”
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Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study by Ashraf Saleem, Ali Awad, Sidike Paheding, Evan Lucas, Timothy C. Havens, Peter C. Esselman

“…Finally, we perform an overlap analysis between the generated enhanced sets to identify cases where the enhanced images of different enhancement algorithms unanimously outperform, equally perform, or underperform the original images. …”
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”
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Hybrid Quality-Based Recommender Systems: A Systematic Literature Review by Bihi Sabiri, Amal Khtira, Bouchra El Asri, Maryem Rhanoui

“…Companies are improving their algorithms with hybrid techniques that combine more recommendation methodologies as these systems are a major research focus. …”
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Differential risk of cardiovascular complications in patients with type-2 diabetes mellitus in Ghana: A hospital-based cross-sectional study. by Christian Obirikorang, Evans Asamoah Adu, Anthony Afum-Adjei Awuah, Samuel Nkansah Darko, Frank Naku Ghartey, Samuel Ametepe, Eric N Y Nyarko, Enoch Odame Anto, William Kwame Boakye Ansah Owiredu

“…To analyze the data, k-means clustering algorithms and regression analysis were used.<h4>Results</h4>The study identified three groups in female patients according to body mass index, relative fat mass, glycated hemoglobin, and triglyceride-glucose index. …”
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A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

“…To classify the WSD into its four classes (healthy, low infestation degree, medium infestation degree, and high infestation degree), two types of ML algorithms were tested; classical machine learning methods, namely, support vector machine (SVM) and k-nearest neighbors (KNN), and ensemble learning methods such as random forest (RF) and light gradient boosting machine (LightGBM). …”
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Identification of Bacterial Lipopolysaccharide-Associated Genes and Molecular Subtypes in Autism Spectrum Disorder by He Y, He Y, Cheng B

“…This research aims to explore bacterial lipopolysaccharide (LPS)- and immune-related (BLI) molecular subgroups in ASD to enhance understanding of the disorder.Methods: We analyzed 89 control samples and 157 ASD samples from the GEO database, identifying BLI signatures using least absolute shrinkage and selection operator regression (LASSO) and logistic regression machine learning algorithms. A nomogram prediction model was developed based on these signatures, and we performed Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and immune cell infiltration analysis to assess the impact of BLI subtypes and their underlying mechanisms.Results: Our findings revealed 17 differentially expressed BLI genes in children with ASD, with BLNK, MAPK8, PRKCQ, and TNFSF12 identified as potential biomarkers. …”
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Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook by Abdul Majeed, Safiullah Khan, Seong Oun Hwang

“…Despite the success of other solutions, anonymization has been widely used in commercial settings for privacy preservation because of its algorithmic simplicity and low computing overhead. It facilitates unconstrained analysis of published data that DP and the other latest techniques cannot offer, and it is a mainstream solution for responsible data science. …”
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Association between neutrophil-albumin ratio and ultrasound-defined metabolic dysfunction-associated fatty liver disease in U.S. adults: evidence from NHANES 2017–2018 by Ming-yu He, Xin-jie Du, Yi-ming Liu

“…CAP-related variables were ranked using XG Boost and random forest algorithms, and predictive models were developed and evaluated. …”
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TARREAN: A Novel Transformer with a Gate Recurrent Unit for Stylized Music Generation by Yumei Zhang, Yulin Zhou, Xiaojiao Lv, Jinshan Li, Heng Lu, Yuping Su, Honghong Yang

“…Music generation by AI algorithms like Transformer is currently a research hotspot. …”
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Investigation of criminal offences against property: typical investigative situations and problems of applying specialised knowledge by R. L. Stepaniuk, V. O. Husieva

“…It has been substantiated that the basis of any forensic methodology for investigating a particular type or group of criminal offences is the proposed algorithms for solving tactical tasks of the initial stage of investigation in typical investigative situations, as well as the specifics of conducting the most relevant procedural actions and forms of using special knowledge for the relevant type or group of criminal offences. …”
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Identification of Ferroptosis-Associated Long Noncoding RNA Prognostic Model and Tumor Immune Microenvironment in Thyroid Cancer by Yongjian Lin, Fu Gan, Xiaoyu He, Huachu Deng, Yong Li

“…Furthermore, immune-related mechanisms were investigated by analyzing the tumor immune microenvironment (TIME) and applying algorithms such as CIBERSROT. Results. We built a highly accurate nomogram to promote the clinical applicability of Ferr-LPM. …”
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CARDIAC-STAR: prevalence of cardiovascular comorbidities in patients with HR + /HER2 − metastatic breast cancer by Susan Dent, Avirup Guha, Heather Moore, Doris Makari, Rachael McCaleb, Irene Arias, Stella Stergiopoulos, Benjamin Li, Michael Fradley

“…Methods This retrospective analysis utilized claims data from Merative™ Marketscan® Commercial and Medicare databases. Claims-based algorithms identified patients with newly diagnosed HR + /HER2– mBC between January 2016 and December 2022. …”
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