Robust Bayesian Fluorescence Lifetime Estimation, Decay Model Selection and Instrument Response Determination for Low-Intensity FLIM Imaging. by Mark I Rowley, Anthonius C C Coolen, Borivoj Vojnovic, Paul R Barber

“…We present novel Bayesian methods for the analysis of exponential decay data that exploit the evidence carried by every detected decay event and enables robust extension to advanced processing. …”
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Precision neuropsychology in the area of AI by Astri J. Lundervold

“…The paper outlines the technological evolution from basic computerized testing to sophisticated machine learning applications that could enable clinicians to more accurately detect subtypes of neuropsychological conditions. …”
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A Novel Approach of Optimal Signal Streaming Analysis Implicated Supervised Feedforward Neural Networks by Farhan Ali, He Yigang

“…The dataset consists of artificially generated radio waves to train signals through neural networks (NNs) and machine learning algorithms to detect errors properly. The primary objective is to achieve optimal signal performance. …”
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Smart cities and cumulative effects on fundamental rights by Athena Christofi

“…These projects rely on extensive data and algorithms whose use in urban spaces and/or decision-making processes can impact the enjoyment of fundamental rights in cities. …”
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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

“…Third, XGBoost and Random Forest machine learning algorithms were employed to examine and validate the importance of the spatial lag component. …”
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Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients by Jianan Zheng, Haoran Lin, Wei Ye, Mingjun Du, Chenjun Huang, Jun Fan

“…Significantly lower immune cell infiltration, characteristic of “cold” tumors, was detected in high-SCPM patients by multiple immune infiltration algorithms. …”
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Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma by Chunhong Li, Jiahua Hu, Mengqin Li, Yiming Mao, Yuhua Mao

“…In this study, we utilized a computational framework to integrate multi-omics data from HCC patients using the latest 10 different clustering algorithms, which were then employed a diverse set of 101 combinations derived from 10 different machine learning algorithms to develop a consensus machine learning-based signature (CMLBS). …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…The results show that SVC and GBDT algorithms are more effective and the overall model classification accuracy reached 86.44% and 91.53%. …”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…The research methodology includes modified machine learning algorithms specifically adapted for regional data analysis, using both structured and unstructured information sources. …”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…Experiments show MoNetViT outperforms other semantic segmentation algorithms in efficiency and effectiveness, particularly in detecting Aruco markers, making it a promising tool to improve navigation aids for the visually impaired.…”
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Enhanced Atrous Spatial Pyramid Pooling Feature Fusion for Small Ship Instance Segmentation by Rabi Sharma, Muhammad Saqib, C. T. Lin, Michael Blumenstein

“…However, existing instance segmentation algorithms do not detect and segment them, resulting in inaccurate ship segmentation. …”
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Amyloid cardiomyopathy: сlinical significance and diagnostic value of magnetic resonance imaging by M. V. Ezhikova, S. N. Nasonova, D. V. Ustyuzhanin, M. A. Shariya, I. V. Zhirov, S. N. Tereshchenko

“…The incidence and prevalence of amyloid cardiomyopathy (AC) has been increasing in recent years, and this diagnosis is often detected at the final stage. This determines late prescription of specific therapy and worsening prognosis of patients. …”
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Comparison of Innovative Strategies for the Coverage Problem: Path Planning, Search Optimization, and Applications in Underwater Robotics by Ahmed Ibrahim, Francisco F. C. Rego, Éric Busvelle

“…These findings offer insights into selecting appropriate algorithms based on mission priorities, balancing efficiency and computational feasbility.…”
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An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods by Bryan Joyce, Jacob Dodson, Simon Laflamme, Jonathan Hong

“…Complex, high-rate dynamic structures, such as hypersonic air vehicles, space structures, and weapon systems, require structural health monitoring (SHM) methods that can detect and characterize damage or a change in the system’s configuration on the order of microseconds. …”
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A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals by Salvatore Parlato, Jessica Centracchio, Eliana Cinotti, Maria Virginia Manzi, Grazia Canciello, Maria Prastaro, Maria Lembo, Benjamin M. Brandwood, Gaetano D. Gargiulo, Paolo Bifulco, Giovanni Esposito, Raffaele Izzo, Emilio Andreozzi

“…The open accessibility of the FOSTER dataset aims to facilitate advancements in unobtrusive cardio-respiratory patient monitoring, support the development of novel diagnostic tools and algorithms to detect specific events of the cardiac and respiratory cycles, and help researchers to explore the potential of combined electrical and mechanical cardiac monitoring.…”
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Single-Pixel Imaging for Partially Occluded Objects by Jingjing Wu, Lifa Hu, Jicheng Wang

“…In traditional optical imaging system, the lenslet array or the reference beam and special algorithms are usually needed to solve this problem, which increase the complexity of the system. …”
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Machine learning Techniques for Spondylolisthesis Diagnosis: a review by Rahma Rabee Aziz, Mohammed S. Jarjees, Mohammad R. Aziz, Ali Asim Hameed

“…Methodologies, sample sizes, algorithms, and measurement accuracy are the main topics of interest. …”
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Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma by Guoyin Li, Yukui Zhao, Yubo He, Zhaoqiang Qian, Yiwen Liu, Xiaoyan Li, Lili Li, Zhiqiang Liu

“…CIBERSORT and ESTIMATE algorithms were employed to evaluate the infiltration of immune cells. …”
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Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics by Marko M. Kostić, Željana Grbović, Rana Waqar, Bojana Ivošević, Marko Panić, Antonio Scarfone, Aristotelis C. Tagarakis

“…This study investigates the effectiveness of utilizing different plant recognition algorithms applied to UAV-derived images for evaluating seeder performance based on detected plant spacings. …”
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The Role of BCL-2 Expression in Patients with Myelodysplastic Neoplasms by Bartłomiej Kuszczak, Krzysztof Zduniak, Angela Jendzierowska, Tomasz Wróbel, Piotr Ziółkowski, Justyna Rybka

“…Furthermore, patients without detectable BCL-2 expression had significantly better survival compared to those with detectable BCL-2 expression (<i>p</i> = 0.0084). …”
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