Future horizons in diabetes: integrating AI and personalized care by Kaiqi Zhang, Yun Qi, Wenjun Wang, Xinyi Tian, Jiahui Wang, Lili Xu, Xu Zhai

“…Future horizons in diabetes care must focus on overcoming challenges in data privacy, algorithmic bias, device interoperability, and equity in AI-driven care while integrating these innovations into healthcare systems to improve patient outcomes and quality of life.…”
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Resource-Efficient Traffic Classification Using Feature Selection for Message Queuing Telemetry Transport-Internet of Things Network-Based Security Attacks by Emmanuel Tuyishime, Marco Martalò, Petru A. Cotfas, Vlad Popescu, Daniel T. Cotfas, Alexandre Rekeraho

“…The aim is to reduce feature dimensionality while maintaining high detection accuracy. Validated on the MQTTset dataset through binary and multiclass classification using seven ML algorithms, the results highlight its ability to enhance computational efficiency without compromising performance, showcasing its potential in real-world IoT security applications.…”
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Epigenetic modifications of cfDNA in liquid biopsy for the cancer care continuum by Jodie Wong, Rohit Muralidhar, Liang Wang, Chiang-Ching Huang

“…It advocates for the integration of multi-omic data through machine learning algorithms to refine predictive models and stresses the importance of collaboration among clinicians, researchers, and data scientists. …”
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Spectral-Spatial Ensemble Low-Rank Domain Adaptation for Hyperspectral Image Classification by Xue Zhang, Guoguo Yang, Hongjun Su, Yiping Chen, Zhaohui Xue, Qian Du

“…Current domain adaptation algorithms focus on finding domain-invariant subspaces to reduce domain shift, but there is still room to improve sample discriminability. …”
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Explainable Machine Learning for Mapping Minerals From CRISM Hyperspectral Data by Sandeepan Dhoundiyal, Moni Shankar Dey, Shashikant Singh, Pattathal V. Arun, Guneshwar Thangjam, Alok Porwal

“…Abstract This paper addresses some of the challenges in automating mineral mapping from CRISM hyperspectral data using two ML algorithms, namely, Random Forest (RF) and Gradient Boosted Trees (GBTree) algorithms. …”
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Transferability of soil management assessment framework indices to detect best soil management strategies in tropical agroecosystems by Helen C. S. Amorim, Amanda J. Ashworth, Gerson L. Drescher, Mohkam Singh, Marcio R. Nunes

“…Abstract Soil management assessment framework (SMAF) algorithms have not been validated for tropical soils, which can prevent proper SMAF‐based soil health monitoring. …”
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Clustering and Investigation of Human Driving Behavior Using Autoencoder and Risk Assessment by Donghoon Shin, Jinhee Myoung, Woongsun Jeon, Kang-Moon Park

“…To address this, we utilize an autoencoder and human-centered risk assessment algorithms to investigate human driving behavior and collision risk. …”
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The Application of Reinforcement Learning to Pumps—A Systematic Literature Review by Adetoye Ayokunle Aribisala, Usama Ali Salahuddin Ghori, Cristiano A. V. Cavalcante

“…Future trends include the use of Internet-of-Things sensors on pumps, a hybrid of model-free and model-based reinforcement learning algorithms, and the development of “weighted” models. …”
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Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising by Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, Rifai Chai

“…Evaluating the results of image denoising algorithms in Computed Tomography (CT) scans typically involves several key metrics to assess noise reduction while preserving essential details. …”
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Vertically Moving Target Localization Based on Interference Feature Matching Using a Single Hydrophone by Chunpeng Zhao, Guolong Liang, Longhao Qiu, Jinjin Wang, Wenfeng Dong

“…To address the performance degradation of traditional underwater target localization algorithms in high-speed motion scenarios, this paper proposes a vertically moving localization method based on interference feature matching using a single hydrophone. …”
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Recent Advances in Smart Phone-Based Biosensors for Various Applications by Enpeng Xing, Hongfei Chen, Xianglin Xin, Haoran Cui, Yanzhi Dou, Shiping Song

“…Importantly, coupled with cloud computing and artificial intelligence algorithms, smart phone-based biosensors enable real-time and dynamic testing and monitoring. …”
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Impact of Airborne Radio Occultation Observations on Short Term Precipitation Forecasts of an Atmospheric River by Phuong‐Nghi Do, Jennifer S. Haase, Ivette Hernández Baños, Pawel Hordyniec, Bing Cao

“…Experiments use the Local Ensemble Transform Kalman Filter and Three‐Dimensional Ensemble‐Variational algorithms. The control experiment assimilates only global conventional data, while the other experiments incorporate additional ARO observations. …”
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Adaptive Fractional Order Control for Bispectral Index Regulation During Anaesthesia by Alin-Ciprian Malița, Cristina Ioana Muresan, Manuel A. Duarte-Mermoud, Gustavo Ceballos Benavides

“…Most existing control algorithms are tuned using a nominal patient model and inter-patient variability is tackled by incorporating robustness in the controller design. …”
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Experts fail to reliably detect AI-generated histological data by Jan Hartung, Stefanie Reuter, Vera Anna Kulow, Michael Fähling, Cord Spreckelsen, Ralf Mrowka

“…Here, we use stable diffusion, one of the most recent generative algorithms, to create such a set of artificial histological samples. …”
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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices by Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios

“…They harness mechanical energy while enabling self‐sustaining sensing for self‐powered devices. …”
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A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods by Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti

“…Causal discovery (CD) algorithms are increasingly applied to socially and ethically sensitive domains. …”
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D-pinitol modulates the anti-emetic effects of aprepitant, domperidone, and ondansetron in chicks by Md. Elit Rahman, Md. Anisur Rahman, Salehin Sheikh, Md. Jannatul Islam Polash, Sozoni Khatun, Mst. Sonia Akter Bristi, Md. Showkoth Akbor, Mst. Farjanamul Haque, Mehedi Hasan Bappi, Tohidul Islam Tanim, Siddique Akber Ansari, Irfan Aamer Ansari, Elaine Cristina Pereira Lucetti, Carolina Bandeira Domiciano, Henrique D.M. Coutinho, Muhammad Torequl Islam

“…Additionally, A variety of computational algorithms were used to visualise ligand–receptor interactions and quantify the binding affinities of DPL and other ligands towards the dopamine receptors (D2 and D3), muscarinic acetylcholine receptors (M1–M5), and serotonin receptor (5HT3). …”
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Broadband SAR Imaging Based on Narrowband Dense False Target Jamming by Gaogao Liu, Ziyu Huang, Haoran Pan, Qidong Zhang, Jiangbo Zhu

“…Theoretical analysis and numerical simulations indicate that narrowband DFTJSs using phase modulation can achieve high-resolution imaging of specific target areas while causing interference to non-cooperative radar (NCR).…”
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Deep‐NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data by Gengbo Liu, Logan Brooks, John Canty, Dan Lu, Jin Y. Jin, James Lu

“…Although the existing NCA algorithms are very well‐established and widely utilized, they suffer from low accuracies in the setting of sparse PK samples. …”
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Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection by Jacek Wodecki, Justyna Hebda-Sobkowicz, Adam Mirek, Radosław Zimroz, Agnieszka Wyłomańska

“…The main objectives of algorithms in finding P-wave are high accuracy, reasonable time of operation, and automatic detection of wave arrival. …”
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