Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…Finally, the IQ criteria were optimized through a particle swarm optimization algorithm. The proposed framework outperformed existing EGM-based rotor detection methods, demonstrating superior functionality and performance compared to existing EGM-based rotor detection methods. …”
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Classification of Phishing Email Using Random Forest Machine Learning Technique by Andronicus A. Akinyelu, Aderemi O. Adewumi

“…This global impact of phishing attacks will continue to be on the increase and thus requires more efficient phishing detection techniques to curb the menace. This paper investigates and reports the use of random forest machine learning algorithm in classification of phishing attacks, with the major objective of developing an improved phishing email classifier with better prediction accuracy and fewer numbers of features. …”
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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

“…To ensure interpretability, we applied the local interpretable model-agnostic explainer (LIME), identifying contralateral putamen SBR as the most predictive feature for distinguishing PD from healthy controls. …”
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Crucial considerations: Sex differences in the epidemiology, diagnosis, treatment, and outcomes of acute pulmonary embolism in non‐pregnant adult patients by Angela F. Jarman, Bryn E. Mumma, Kajol S. Singh, Craig D. Nowadly, Brandon C. Maughan

“…Further investigation of possible sex‐specific diagnostic and treatment algorithms is necessary in order to more accurately detect and treat acute PE in non‐pregnant adults.…”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…Depending on the convolutional feature extractor of the PPO-trained neural network, our method obtains 0.945 to 0.968 accuracy of approximation of the black-box model. …”
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BEV-CAM3D: A Unified Bird’s-Eye View Architecture for Autonomous Driving with Monocular Cameras and 3D Point Clouds by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…BEVCAM3D integrates a deformable cross-modality attention module for feature alignment and a fast ground segmentation algorithm to reduce computational overhead by 40%. …”
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Event-Based Visual/Inertial Odometry for UAV Indoor Navigation by Ahmed Elamin, Ahmed El-Rabbany, Sunil Jacob

“…The proposed approach fuses events, standard frames, and inertial measurements for precise indoor navigation. Features are detected and tracked on the standard images. …”
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Myocarditis Diagnosis Using Semi-Supervised Generative Adversarial Network and Differential Evolution by Haifeng Gui, Na Zhang

“…Alternatively, cardiac magnetic resonance (CMR) offers a non-invasive method to detect and monitor myocarditis, displaying myocardial involvement with high signal contrast. …”
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Multiple timescale variations in fronts in the Seto Inland Sea, Japan by M. Dong, X. Guo

“…Using a gradient-based algorithm with an advanced contextual feature-preserving median filter, we processed the high-resolution sea surface temperature dataset to detect and quantify tidal and thermohaline fronts. …”
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soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes by Yi‐Jen Sun, Shih‐Ching Yen, Tzu‐Hao Lin

“…This toolbox provides algorithms for supervised and unsupervised source separation (SS). …”
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Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping by Christian A. Webb, Boyu Ren, Habiballah Rahimi-Eichi, Bryce W. Gillis, Yoonho Chung, Justin T. Baker

“…Findings support the use of smartphones coupled with machine learning to detect states of heightened negative emotions. The ability to predict these states in real-time could inform the development and timely delivery of emotionally beneficial smartphone-delivered interventions which could be automatically triggered via a predictive algorithm.…”
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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

“…This method is particularly useful for identifying low seismic amplitude anomalies, which are often challenging to detect with conventional seismic analysis. (1) This study developed a workflow to detect low seismic amplitude gas fields in near-field exploration. (2) It uses a machine learning algorithm to classify and explore low-seismic-amplitude gas sand reservoirs. (3) This approach helps estimate the likelihood of success and reduces the risk associated with hydrocarbon exploration wells.…”
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Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C by Jimmy Tjen, Valentino Pratama

“…Based on the experiment, the distance correlation-based classification tree algorithm outperforms the classical classification tree algorithm by around 3% while using only 7 features instead of 12 as in the classical algorithm. …”
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Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine by Yanbin Wang, Zhuhong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li, Tonghai Jiang

“…This method was developed based on a deep learning algorithm-stacked sparse autoencoder (SSAE) combined with a Legendre moment (LM) feature extraction technique. …”
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Proposed Method for Tracking Moon Phases using the Co-Occurrence Matrix by Abeer Thanoon

“…The proposed algorithm  of photographic and videoing treatment presents a method to trace the appearance of moon phases through the analysis of image texture using Co-Occurrence matrix after reading the video file followed by the representation of texture features in the form of histogram followed by the segmentation of image depending on the values of histogram to obtain the detection of the target , i.e. , the moon in order to trace the appearance of moon phases within a video serial and then know the area of the lighted part of the moon surface via sun rays through which the geometric shape of the lighted area of the moon along the video serial can be estimated in each stage . then the moon phase may be expected as it is a ratio of the estimated area of the geometric shape in relation to the total area of the circular disc of the full moon . the purposed method can be applied whenever a video film of the moon is available.…”
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Attack traffic allocation and load balancing mechanism for SDN by LI Man, ZHOU Huachun, XU Qi, DENG Shuangxing, ZOU Tao, ZHANG Ruyun

“…This algorithm allocated traffic to different paths based on traffic and network features with the goal of reducing load and latency. …”
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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…The problem posed is reduced to the Lippmann-Schwinger integral equation. A two-step algorithm is used to search for inhomogeneity. A neural network approach was used to filter the values obtained after a two-step algorithm. …”

Analysis of errors of the artificial horizon sensor based on vision system by A. A. Sheinikau, L. A. Ivanitski, V. A. Malkin

“…The article discusses the features of the practical implementation of the artificial horizon sensor based on the onboard vision system. …”
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Comprehensive FISH probe design tool applied to imaging human immunoglobulin class switch recombination. by Jakub Nedbal, Philip S Hobson, David J Fear, Rainer Heintzmann, Hannah J Gould

“…The webFISH algorithm featuring a user-friendly interface (http://www.webfish2.org/) maximizes the coverage of the examined sequences with FISH probes by considering locally repetitive sequences absent from the remainder of the genome. …”
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Artificial intelligence-based Bayesian optimization and transformer model for tennis motion recognition by Shaowei Shi, Kun Huang

“…First, we use an improved generative adversarial network to optimize heat map location detection of human key points. A human key point recognition algorithm is designed based on Transformer. …”
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