ARGContextProfiler: extracting and scoring the genomic contexts of antibiotic resistance genes using assembly graphs by Nazifa Ahmed Moumi, Shafayat Ahmed, Connor Brown, Amy Pruden, Liqing Zhang

“…Several tools, databases, and algorithms are now available to facilitate the identification of ARGs in metagenomic sequencing data; however, direct annotation of short-read data provides limited contextual information. …”
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MassCube improves accuracy for metabolomics data processing from raw files to phenotype classifiers by Huaxu Yu, Jun Ding, Tong Shen, Min Liu, Yuanyue Li, Oliver Fiehn

“…MassCube is available at https://github.com/huaxuyu/masscube for direct use or implementation into larger applications in omics or biomedical research.…”
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Using the β/α Ratio to Enhance Odor-Induced EEG Emotion Recognition by Jiayi Fang, Genfa Yu, Shengliang Liao, Songxing Zhang, Guangyong Zhu, Fengping Yi

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Sysmon event logs for machine learning-based malware detection by Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan

“…Such information can be used to classify malicious or benign software. In this research, we employed various machine learning algorithms, both classification (supervised learning) and outlier detection (unsupervised learning) approaches, such as Naive Bayes, Decision Tree, Random Forest, Support Vector Machine (SVM) for supervised learning, and Isolation Forest, Local Outlier Factor (LOF), and One-Class SVM for unsupervised learning. …”
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Low-Cost LiDAR Mapping on Bicycles for Urban Road and Sidewalk Detection by T. Bhatia, S. Goel, A. Medury

“…Further, specialised algorithms were developed to accurately identify and extract road and sidewalk points from the filtered data, accommodating the varying elevations and textures typical of urban environments. …”
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Docking Methods for Robot-assisted Rhytidectomy and Platysmaplasty by Anastasiya S. Borisenko, MD, PhD, Valentin I. Sharobaro, MD, PhD, Alexey E. Avdeev, MD, PhD, Yousif M. Ahmed Alsheikh, MD

“…There are no docking algorithms or methods for plastic surgery operations, especially those involving the head and neck area. …”
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Explainable few-shot learning workflow for detecting invasive and exotic tree species by Caroline M. Gevaert, Alexandra Aguiar Pedro, Ou Ku, Hao Cheng, Pranav Chandramouli, Farzaneh Dadrass Javan, Francesco Nattino, Sonja Georgievska

“…While few-shot learning algorithms can address the first problem, they still lack sufficient explanations for the results. …”
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Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies by Manochandar Subramaniyan, Thiruppathy Kesavan Venkatasamy, Nithya Thotakuruchi Mathiyalagan, Md. Jakir Hossen

“…Abstract The integrated sensing and communications (ISC) application completely changes the game regarding collecting, analyzing, and dispensing facts in real time via combining sensing skills with communication structure. The present research delves into how ISC can enhance decision-making in healthcare, smart towns, and environmental monitoring. …”
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Personalized Drug Recommendation System Using Wasserstein Auto-encoders and Adverse Drug Reaction Detection with Weighted Feed Forward Neural Network (WAES-ADR) in Healthcare by J Omana, P. N Jeipratha, K Devi, S Benila, K Revathi

“…This study intends to improvise the precision and efficiency of drug recommendation systems while also improving patient safety by combining WAEs and early ADR detection strategies. Previous research has used social media data for pharmacovigilance, drug repositioning, and other machine learning algorithms to detect ADRs. …”
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Understanding Fluctuations in Public Opinion toward COVID-19 Vaccines: Insights from Social Media Analysis by Hafiz Farooq Ahmad, Areeba Azhar, Abdulelah Algosaibi, Jamil Hussain

“…Despite significant progress in vaccine research and policy implementations, widespread immunization remains challenging. …”
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General Extensions and Improvements of Algebraic Persistent Fault Analysis by Hanbing Li, Kexin Qiao, Ye Xu, Changhai Ou, An Wang

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The influence of digital platforms on gig workers: A systematic literature review by Farah Diba Almayanda Alauddin, Aini Aman, Mohd Fahmi Ghazali, Sity Daud

“…However, gig workers face significant challenges, such as a lack of social protections, algorithmic control, intense competition, and downward pressure on wages. …”
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Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects by ZHANG Zijiao, DING Shunjing, ZHAO Di, LIANG Jun, LEI Jianbo

“…This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. …”
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Biosynthesis, applications, and mathematical modeling dynamics of lactic acid bacteria exopolysaccharides: A review by Ankit Barot, Kalyan Das, Yogesh Patel, et al.

“…White-box models, utilize comprehensive system knowledge, forecast performance, and optimize processes such as EPS biosynthesis while employing algorithms like fuzzy patterns, rule-based systems, and decision trees to increase productivity and identify bottlenecks. …”
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Features of training 3d computer modeling and visualization of future teachers of informatics by O. G. Rylova

“…The development of a methodical system of interdisciplinary education will ensure the formation of readiness to teach three-dimensional graphics at the stage of general secondary education and to realize its didactic possibilities in organizing educational and research activities of students.…”
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Cereal and Rapeseed Yield Forecast in Poland at Regional Level Using Machine Learning and Classical Statistical Models by Edyta Okupska, Dariusz Gozdowski, Rafał Pudełko, Elżbieta Wójcik-Gront

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Machine learning–based feature prediction of convergence zones in ocean front environments by Weishuai Xu, Lei Zhang, Hua Wang

“…The research findings emphasized the substantial impact of ocean fronts on the convergence zone’s location concerning the sound source. …”
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Effective tweets classification for disaster crisis based on ensemble of classifiers by Christopher Ifeanyi Eke, Kholoud Maswadi, Musa Phiri, Mulenga, Mohammad Imran, Dekera Kwaghtyo, Akeremale Olusola Collins

“…To address this challenge, researchers leverage machine learning (ML) classifiers to automatically categorize disaster-related tweets. …”
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Optimizing Deep Learning Models for Fire Detection, Classification, and Segmentation Using Satellite Images by Abdallah Waleed Ali, Sefer Kurnaz

“…Achieving 82% detection accuracy in real-world applications could drastically reduce response times, minimize the damage caused by wildfires, and enhance resource allocation for firefighting efforts, emphasizing the importance of continued research in this domain.…”
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PREDICTIVE MAINTENANACE AND ITS ROLE IN ENERGY EFFICIENCY IN THE HOSPITALITY INDUSTRY by F. B. Adeleke, A. S Odetoye, E. E. Akerele, O. S. Folorunso, A. A. Bashiru

“…However, barriers such as high implementation expenses, insufficient technical expertise, and algorithmic biases continue to impede widespread adoption. …”
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