Rainfall Prediction in Khorasan Razavi Stations Using a Hybrid Neural Network and Genetic Algorithm Approach by Mahdi Naseri, Mahsa Mardani

“…This research highlights the potential of hybrid AI models for enhancing rainfall prediction accuracy and providing valuable insights for water management and drought mitigation in arid and semi-arid regions.…”
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Dissipative Structures of the Kuramoto–Sivashinsky Equation by N. A. Kudryashov, P. N. Ryabov, B. A. Petrov

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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. The research article addresses this gap by introducing the Temporal Adaptive Neural Evolutionary Algorithm (TANEA), a novel approach designed to enhance the predictive capabilities in biomedical IoT systems. …”
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AnimalMotionViz: An interactive software tool for tracking and visualizing animal motion patterns using computer vision by Angelo L. De Castro, Jin Wang, Jessica G. Bonney-King, Gota Morota, Emily K. Miller-Cushon, Haipeng Yu

“…It implements a set of background subtraction algorithms in the OpenCV package to track animal motion patterns in real time. …”
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Performance Improvement of Spaceborne SAR Using Antenna Pattern Synthesis Based on Quantum-Behaved Particle Swarm Optimization by Young-Jin Won, Kyun Ho Lee, Jae-Hyun Lee

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An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–2018 by Qun Tang, Yong Wang, Yan Luo

“…Abstract Current research on the association between demographic variables and dietary patterns with atherosclerotic cardiovascular disease (ASCVD) is limited in breadth and depth. …”
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AI in biomedical research: unleashing the potential of a transformative partnership by Zeba Haque, Farina Hanif, Muhammad Owais

“…It demands a lot of time and expertise to translate that data into meaningful interpretations to be applied on the bedside. AI algorithms on the other hand, possess the exceptional ability to examine this wealth of information, uncovering patterns and relationships. …”
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Ai And Creative Research In Algerian Universities: Faculty Perspectives On Integration by Meryem Kehal

“…Qualitative content analysis was performed to identify recurring themes and patterns. The findings confirmed that AI positively impacts research creativity through advanced data analysis tools, interdisciplinary collaboration, and innovative problem-solving methodologies. …”
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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…Their unusual appearance and low frequency make early diagnosis and accurate characterization of such uncommon brain metastases a diagnostic difficulty. The present research presents a neuroimaging informatics system using hybrid Positron Emission Tomography–Computed Tomography (PET-CT) imaging to examine and explain uncommon brain metastasis patterns in pleural mesothelioma patients. …”
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Burnout protective patterns among oncology nurses: a cross-sectional study using machine learning analysis by Ana Rocha, Cristina Costeira, Raul Barbosa, Florbela Gonçalves, Miguel Castelo-Branco, Joaquim Viana, Margarida Gaudêncio, Filipa Ventura

“…Statistical analyses were performed using SPSS and machine learning tools, specifically KMeans clustering and Random Forest algorithms. Results Six protective patterns against burnout were identified, characterized by conditions of permanent contracts, work-life balance, and supportive work environments. …”
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Generation of Julia Sets for a Novel Class of Generalized Rational Functions via Generalized Viscosity Iterative Method by Iqbal Ahmad, Ahmad Almutlg

“…This approach enhances existing algorithms, enabling the visualization of intricate fractal patterns as Julia sets. …”
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Unveiling ac4C modification pattern: a prospective target for improving the response to immunotherapeutic strategies in melanoma by Jianlan Liu, Pengpeng Zhang, Chaoqin Wu, Binlin Luo, Xiaojian Cao, Jian Tang

“…We developed and confirmed an excellent acRG-related signature (acRGS) utilizing a comprehensive set of 101 algorithm combinations derived from 10 machine learning algorithms. …”
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ALGORITHM FOR CONSTRUCTING THE TRIPLE UNIT GRAPH OF TYPE II OF RING Z_n USING PYTHON by Ika Nur Fitriani, Vika Yugi Kurniawan

“…This paper focuses on the algorithm for constructing using Python. This research uses the literature study research method. …”
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Evaluation and Analysis of Animation Multimedia 3D Lip Synchronization considering the Comprehensive Weighted Algorithm by Zhe Xu

“…How to carry out 3D lip synchronization effectively and accurately is an important research direction in the field of multimedia. On this basis, a comprehensive weighted algorithm is introduced in this paper to sort out the related laws and the time of lip pronunciation in animation multimedia, carry out the vector weight analysis on the texts in the animation multimedia, and synthesize a matching evaluation model for 3D lip synchronization. …”
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APPLICATION OF MARKET BASKET ANALYSIS ON HAJI UMAR STORE’S SALES DATA USING THE APRIORI ALGORITHM by Salsabilla Sadedin Nasution, Aninda Muliani Harahap, Adnan Buyung Nasution

“…To implement the Product Recommendation Feature, the study utilizes market basket analysis, a method used to examine consumer purchasing patterns. This analysis is carried out using the Apriori algorithm. …”
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Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data by Minglu Che, Yanyun Nian, Chengyao Wang, Wenhui Zhang, Jie Chen, Bingzhi Liao, Tao Pei

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The A3C Algorithm With Eligibility Traces of Energy Management for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

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Enhanced Network Traffic Classification Using Bayesian-Optimized Logistic Regression and Random Forest Algorithm by Manisankar Sannigrahi, R. Thandeeswaran

“…It examines the performance of a logistic regression model enhanced by Bayesian optimization for detecting TOR traffic using the UNB-CIC TOR-NonTOR datasets and a Bayesian-optimized random forest model for the CIC-Darknet2020 dataset. The research evaluates four key machine learning algorithms: Random forest, logistic regression, support vector machine (SVM), and K-nearest neighbors (K-NN). …”
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Improving Performance of the Convolutional Neural Networks for Electricity Theft Detection by using Cheetah Optimization Algorithm by Hassan Ghaedi, Seyed Reza Kamel Tabbakh, Reza Ghaemi

“…Early detection of abnormal consumers can prevent security and financial losses. Extensive research studies have been done to detect electricity theft by analyzing customer consumption patterns. …”
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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…The system includes three subsystems: two of them have a biological nature and exhibit probabilistic behavior, while the milking machine, serving as a connecting element with inanimate characteristics, is to be regarded as a deterministic technical subsystem. (Research purpose) The research aims to substantiate the conceptual approach to the functioning of an «operator-machine-animal» biotechnical system, taking into account the subsystem interaction patterns. …”
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