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

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. The algorithm’s adaptability to various biomedical data patterns enables more effective real-time monitoring and decision-making in IoT-based healthcare environments. …”
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Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model by Amal Alshardan, Nazir Ahmad, Achraf Ben Miled, Asma Alshuhail, Yazeed Alzahrani, Ahmed Mahmud

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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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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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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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Deep learning-based edge detection for random natural images by Kanija Muntarina, Rafid Mostafiz, Sumaita Binte Shorif, Mohammad Shorif Uddin

“…It serves as a fundamental step in tasks such as image segmentation, shape extraction, pattern recognition, auto-navigation, and motion analysis, with applications spanning various domains including radar and sonar image processing. …”
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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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PyBodyTrack: A python library for multi-algorithm motion quantification and tracking in videos by Angel Ruiz-Zafra, Janet Pigueiras-del-Real, Jose Heredia-Jimenez, Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Lionel C. Gontard

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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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CleanSeqU algorithm for decontamination of catheterized urine 16S rRNA sequencing data by Sung Min Yoon, Chang-Seok Ki, Ju Sun Song

“…This approach is grounded in the principle that the compositional pattern of potential contaminant taxa remains similar between biological samples and blank controls. …”
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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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An investigation on energy-saving scheduling algorithm of wireless monitoring sensors in oil and gas pipeline networks by Zhifeng Ma, Zhanjun Hao, Zhenya Zhao

“…However, since sensor nodes typically rely on limited battery power, extending the network’s lifecycle and improving energy utilization efficiency have become focal points of research. Therefore, this paper proposes an energy-saving scheduling algorithm based on transformer networks, aimed at optimizing energy consumption and data transmission efficiency of wireless monitoring sensors in oil and gas pipelines. …”
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Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes by Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li

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Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network by Dongxian Yu, Di Wu, Chongyang Liao, Zaihui Cao, Somayeh Pouramini

“…Abstract The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. …”
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A Cluster Head Selection Algorithm for Extending Last Node Lifetime in Wireless Sensor Networks by Marcin Lewandowski, Bartłomiej Płaczek

“…Experimental results demonstrate that our method significantly extends the lifetime of the last active node compared to representative state-of-the-art algorithms. This research provides a practical and robust solution for energy-efficient WSN operation in real deployment scenarios by considering realistic and application-driven communication behavior along with hardware-level energy consumption.…”
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Application of Random Forest Algorithm to Analyze the Confidence Level of Forest Fire Hotspots in Riau Peatland by Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, I Nengah Surati Jaya

“…The research focuses on peatlands spanning 3.86 million ha, using key variables such as NDVI, surface temperature, and peat thickness derived from satellite data. …”
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Developing an Algorithm for Detecting Suspicious Trades in Tehran Stock Exchange Based on Spoof Trading Model by Reza Tehrani, Saeed Fallahpour, Hamid Nouralidokht

“…Thoughtful and accurate manipulation techniques adopted by manipulators may not easily be detected. This research examines stock price manipulation in Tehran Stock Exchange and addresses the identification and detection of stock price manipulation by mathematical algorithm (spoof trading). …”
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