Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…The workflow integrates seismic spectral decomposition and machine learning algorithms to identify subtle anomalies, including low seismic amplitude gas sand and background amplitude water sand. …”
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qTrustNet Virtual Private Network (VPN): Enhancing Security in the Quantum Era by Hyoungsub Shim, Bongho Kang, Haejung Im, Duhyun Jeon, Seok-Min Kim

“…This PQC algorithm is designed to withstand the decryption capabilities of quantum computers, thus providing long-term security. …”
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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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DEVELOPING A CELIOTM PROGRAMMING LEARNING TOOL TO FACILIATE TEACHING AND LEARNING DATA STRUCTURE CONCEPTS IN C++ FOR NOVICE PROGRAMMERS by Adam B. Mtaho, Masoud M. Masoud, Leonard J. Mselle

“…To address such difficulties, several algorithm visualization (AV) tools have been introduced to help novices understand data structure. …”
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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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Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration by Miguel Tradacete-Ágreda, Carlos Santos-Pérez, Pablo José Hueros-Barrios, Francisco Javier Rodríguez-Sánchez, Rafael Pérez-Seguí, Javier Melero-Deza, Pascual Campoy

“…This framework enhances detection algorithms by providing rapid identification of severe issues. …”
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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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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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Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal by Xinya Li, Zaiwei Song, Yixuan Chen, Jingjing Wu, Dan Jiang, Zhen Zhang, Zeyuan Wang, Rongsheng Zhao

“…The model based on the LightGBM algorithm demonstrated superior performance, leading to the development of a web calculator. …”
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The Role of Immersive Experience in Anxiety Reduction: Evidence from Virtual Reality Sessions by Dominika Wilczyńska, Tamara Walczak-Kozłowska, David Alarcón, María José Arenilla, Jose Carlos Jaenes, Marcelina Hejła, Mariusz Lipowski, Joanna Nestorowicz, Henryk Olszewski

“…Both groups used goggles for virtual space navigation, with the experimental group employing a multijoint arm mounted on an aluminum frame and special algorithms to navigate without controllers. We assessed immersion in VR using the Polish adaptation of the Immersion Questionnaire and anxiety using the Polish adaptations of the State–Trait Anxiety Inventory (STAI-X1) and its early adolescent version, the State–Trait Anxiety Inventory–Children (STAI-C1). …”
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Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model by Yanling Zhang, Kun Long, Zhaojian Gong, Ruping Dai, Shuiting Zhang

“…Machine learning algorithms can be effectively used to identify potential risk factors of POF, which may enhance individualized treatment plans in oral cancer patient during perioperative period. …”
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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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Automatic History Matching for Adjusting Permeability Field of Fractured Basement Reservoir Simulation Model Using Seismic, Well Log, and Production Data by Le Ngoc Son, Nguyen The Duc, Sumihiko Murata, Phan Ngoc Trung

“…After that, a feed-forward artificial neural network (ANN) model trained by the back-propagation algorithm of the relationship between initial permeability with seismic attributes and geomechanical properties of their grid cell values is developed. …”
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Long-term planning optimisation of sustainable energy systems: A systematic review and meta-analysis of trends, drivers, barriers, and prospects by Soheil Mohseni, Alan C. Brent

“…In this intricate landscape, the interdependence of optimisation variables that underlie sustainable energy system planning and optimisation processes underscores the critical role of advanced computational models, notably optimisation algorithms and forecasting techniques, as well as innovative business models tailored to renewable energy in the context of diverse distributed energy options. …”
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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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