The quantification of down-hole fractionation for laser ablation mass spectrometry by J. C. Lloyd, J. C. Lloyd, C. Spandler, S. E. Gilbert, D. Hasterok

“…We utilise a relatively new data visualisation method, uniform manifold approximation and projection (UMAP), to help visualise the data relationships in this large dataset while comparing it to more traditional methods of data visualisation.</p> <p>The algorithm presented in this research advances our capability to accurately model LA-ICP-MS DHF and may facilitate reliable decoupling of the DHF correction for non-matrix-matched materials, lead to improved uncertainty propagation, and facilitate inter-laboratory comparison studies of DHF patterns.…”
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A Comprehensive Approach to Synthetic Distribution Grid Generation: Erdős–Rényi to Barabási-Albert by Mohammad Shahraeini

“…To address these limitations and push the research forward, the new algorithm utilizes the Barabási-Albert model to provide more control over the structural features of the generated graphs through the introduction of a novel tuning parameter known as the “richness index”. …”
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MATHEMATICAL-CARTOGRAPHIC MODELING AND CARTOGRAPHY OP DEMOGRAPHIC SITUATION IN THE REGIONS OF EUROPE AND RUSSIA by A. I. Igonin, V. S. Tikunov

“…The paper describes the methodology for applying the algorithm of mathematical cartographic modeling of typological maps to develop a typology of the demographic situation and the use of these tools for geodemographic research and monitoring of a vast territory. …”
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Optimization of Distribution Path considering Cost and Customer Satisfaction under New Retail Modes by Dengqing Wang, Yuting Yang, Yanhu Wang

“…Moreover, the immune algorithm and genetic algorithm are adopted to achieve the model solution. …”
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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM by Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai

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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) by Zhigang Yu, Jiahui Liu, Mingchuan Yang, Yanmin Cheng, Jie Hu, Xinchi Li

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Validating a smart bed against polysomnography for sleep apnea detection by Farzad Siyahjani, Kostiantyn Kalenyk, Gary Garcia-Molina, Saeed Babaeizadeh

“…Visual inspection of signals during apnea episodes, particularly those related to CSA, confirmed the algorithm’s capability to capture meaningful physiological patterns. …”
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Implementation of Clustering and Association for Early Warning of Disasters in Bojonegoro Regency by Denny Nurdiansyah, Erna Hayati, Ika Purnamasari, Anna Apriana Hidayanti, Yuliana Fuji Rahayu

“…The research aimed to analyze the relationships between different types of disasters, assess the likelihood of disaster occurrences, and enhance knowledge and understanding of disaster patterns in Bojonegoro Regency. …”
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Identification of Perceptual Phonetic Training Gains in a Second Language Through Deep Learning by Georgios P. Georgiou

“…Results: The results demonstrated good model performance across a range of metrics, confirming that learners’ gains in phonetic training could be effectively detected by the algorithm. Conclusions: This research underscores the potential of deep learning techniques to track improvements in phonetic training, offering a promising and practical approach for evaluating language learning outcomes and paving the way for more personalized, adaptive language learning solutions. …”
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Evolving Camouflages: A User-Centric AI Approach for Game Aesthetics by Rasmus Ploug, Emil Rimer, Anthon Kristian Skov Petersen, Marco Scirea, Joseph Alexander Brown

“…This project investigates the use of an evolutionary algorithm for texture generation and allows users to choose and manipulate camouflage patterns. …”
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Subgrouping autism and ADHD based on structural MRI population modelling centiles by Clara Pecci-Terroba, Meng-Chuan Lai, Michael V. Lombardo, Bhismadev Chakrabarti, Amber N. V. Ruigrok, John Suckling, Evdokia Anagnostou, Jason P. Lerch, Margot J. Taylor, Rob Nicolson, Stelios Georgiades, Jennifer Crosbie, Russell Schachar, Elizabeth Kelley, Jessica Jones, Paul D. Arnold, Jakob Seidlitz, Aaron F. Alexander-Bloch, Edward T. Bullmore, Simon Baron-Cohen, Saashi A. Bedford, Richard A. I. Bethlehem

“…We identified subgroups with distinct patterns of alterations relative to controls but note that these results rely heavily on the algorithm used and encourage detailed reporting of methods and features used in future studies.…”
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Relationship between the Significant Solutions of Static Traffic Assignment Problems for Mixed Traffic Flow of Connected and Automated Vehicles and Human-Driven Vehicles by Jaewoong Yun

“…The proposed algorithm extends the most widely used method in transportation planning research, which can overcome the limitations of asymmetric interaction problems through simple variations. …”
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KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification by Muhaimin Ilyas, Syaiful Anam, Trisilowati Trisilowati

“…KFCM imputation is applied to obtain better estimation values due to its proven ability to recognize patterns in the data. In addition, the PSOTD algorithm is used as an optimization tool to boost the KFCM's performance. …”
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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

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Travel Time Prediction of Urban Agglomeration Significance Channel: A Case Study on the Cross-Hangzhou Bay Channel by Wang Yu, Hu Xiaowei, Cui Shu, Rao Zonghao

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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

“… With an emphasis on the upcoming ICC Champions Trophy 2025, which will be staged in Pakistan, our research paper examines the complex relationship between weather and cricket. …”
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Apple Trajectory Prediction in Orchards: A YOLOv8-EK-IPF Approach by Jinxing Niu, Zhengyi Liu, Shuo Wang, Jiaxi Huang, Junlong Zhao

“…The algorithm first employs spatial partitioning according to the cyclical motion patterns of apples to constrain the prediction results. …”
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Optimizing ensemble learning for satellite-based multi-hazard monitoring and susceptibility assessment of landslides, land subsidence, floods, and wildfires by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farman Ali, Biswajeet Pradhan, Soo-Mi Choi

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Comorbidities associated with fetal alcohol spectrum disorders in the United States by Brandon K. Attell, Angela B. Snyder, Claire Coles, Julie Kable

“…Employing a novel unsupervised machine learning algorithm applied to a nationally representative hospital discharge database, we found 57 distinct comorbidities that frequently occurred among FASD cases, in addition to a set of 144 complex overlapping comorbidity patterns. …”
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Detecting Fraudulent Transaction in Banking Sector Using Rule-Based Model and Machine Learning by Cut Dinda Rizki Amirillah

“…This research aims to develop an effective fraud detection model in banking transactions using the rule-based model (RBM) approach and the isolation forest (IF) machine learning algorithm. …”
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