Prognostic algorithm for early diagnosis of subcritical conditions as predictors of sudden cardiac death by A. V. Bykov, P. S. Azarova, S. A. Parkhomenko, A. V. Bykov, A. V. Polyakova, M. V. Alymova, A. V. Vinnikov

“…The basis is to improve the efficiency of predictive algorithms.Material and methods. This pilot, controlled, open-label, randomized, prospective clinical trial included 220 patients at risk of SCD and 150 patients without risk of SCD. …”
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New blockchain consensus algorithm applied on healthcare industry: Proof of Visit- (POV) by Çetin Şahin, Muhammed Ali Aydin, Ahmet Sertbaş

“…The increase in the world’s population, technological advancements, genetic research, digital health services, and medical devices are among the reasons that lead to the rapid growth of Electronic Health Record (EHR). …”
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Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…This study presents an AI-based fault prediction algorithm to enhance the safety and reliability of lithium-ion battery systems used in electric propulsion ships. …”
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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

“…Tree-based models were the primarily used algorithms and showed promising results in predicting PTSD outcomes for various groups, as indicated by their pooled AUCs: military incidents (0.745), sexual or physical trauma (0.861), natural disasters (0.771), medical trauma (0.808), firefighters (0.96), and alcohol-related stress (0.935). …”
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Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms by Hien Nguyen, Samsul Huda, Yasuyuki Nogami, Tuy Tan Nguyen

“…Unlike traditional cryptographic algorithms, lattice-based schemes are expected to remain secure even in the presence of quantum attacks, making them essential for securing future data. …”
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Predicting diabetes using supervised machine learning algorithms on E-health records by Sulaiman Afolabi, Nurudeen Ajadi, Afeez Jimoh, Ibrahim Adenekan

“…Methods: This study investigates the early detection and management of diabetes by applying machine learning techniques to electronic health records. The research explores the effectiveness of three supervised machine learning algorithms: logistic regression, Random Forest, and k-nearest neighbors (KNN), in developing predictive models for diabetes. …”
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Optimization of DG-LRG Water Extraction Algorithm Considering Polarization and Texture Information by Lei Tan, Yunpeng Liu, Kai Zhou, Ruizhe Zhang, Jintian Li, Ruopeng Yan

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Consensus-Based Power System State Estimation Algorithm Under Collaborative Attack by Zhijian Cheng, Guanjun Chen, Xiao-Meng Li, Hongru Ren

“…Due to its vulnerability to a variety of cyber attacks, research on cyber security for power systems has become especially crucial. …”
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Multi-camera association tracking algorithm for pedestrian target based on difference image by Shuai Ren

“…The tracking comprehensiveness and trajectory interruption rate of the research method were 98 % and 1.2 %, respectively, which were significantly better than other comparison algorithms. …”
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Optimization of the Naive Bayes Algorithm with SMOTETomek Combination for Imbalance Class Fraud Detection by Arief Tri Arsanto, Arif Faizin, Moch lutfi, Zulfatun Nikmatus Saadah

“…The focus of this research is card fraud classification. Detection of imbalanced datasets or imbalanced classes is carried out using the Naive Bayes method as a classification algorithm. …”
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Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm by Hui Li

“…The algorithm calculates the ratio of Internet tourism resource labels by row and uses a threshold extraction algorithm to distinguish area from private non-Internet tourism resource area. …”
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Energy-Efficient Fall-Detection System Using LoRa and Hybrid Algorithms by Manny Villa, Eduardo Casilari

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Quantum optimization algorithms for CT image segmentation from X-ray data by Kyungtaek Jun, Hyunju Lee

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Energy-Efficient Data Recovery via Greedy Algorithm for Wireless Sensor Networks by Zhi-qiang Zou, Ze-ting Li, Shu Shen, Ru-chuan Wang

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Daily rainfall prediction using long short-term memory (LSTM) algorithm by B SUDARSAN PATRO, PRASHANT P. BARTAKKE

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New Sight of Intelligent Algorithm Models and Medical Devices in Bioengineering: Updates and Directions by Luca Mesin

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3L-YOLO: A Lightweight Low-Light Object Detection Algorithm by Zhenqi Han, Zhen Yue, Lizhuang Liu

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Scene Matching Method for Children’s Psychological Distress Based on Deep Learning Algorithm by Junli Su

“…The study results of this paper provide a reference for further researches on the scene matching method for children’s psychological distress based on deep learning algorithm.…”
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Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms by Kianeh Kandi, Antonio García-Dopico

“…This research paper presents novel approaches for detecting credit card risk through the utilization of Long Short-Term Memory (LSTM) networks and XGBoost algorithms. …”
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Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

“…This study presents a comprehensive evaluation of machine learning approaches for network intrusion detection, comparing the performance of Decision Trees (DT), Random Forest (RF), K-Nearest Neighbors (K-NN), Gradient Boosting (GB), and Logistic Regression (LR) algorithms. The research investigates the impact of data preprocessing techniques, including data balancing and duplicate removal, on detection performance. …”
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