Application of artificial intelligence technologies for the detection of early childhood caries by Priyanka A, Rishi Sreekumar, S Namasivaya Naveen

“…The DL algorithms, such as the Convolutional Neural Networks, achieved up to 93.3% accuracy on tooth photographs, while Artificial Neural Networks reached 99% accuracy for primary molar caries. …”
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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

“…The results provide insight into the strengths and limitations of existing diffusion-model based posterior samplers, while the benchmark problems provide a testing ground for future algorithmic developments.…”
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lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression by Sean K. Maden, Louise A. Huuki-Myers, Sang Ho Kwon, Leonardo Collado-Torres, Kristen R. Maynard, Stephanie C. Hicks

“…Abstract Background Relative cell type fraction estimates in bulk RNA-sequencing data are important to control for cell composition differences across heterogenous tissue samples. While there exist algorithms to estimate the cell type proportions in tissues, a major challenge is the algorithms can show reduced performance if using tissues that have varying cell sizes, such as in brain tissue. …”
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FedEasy : Federated learning with ease by Majid Kundroo, Ghani Haider, Nguyen Khoa, Abdul Wahab Mamond, Taehong Kim

“…Federated learning (FL) has emerged as a promising paradigm for training machine learning models on distributed data while preserving privacy and adhering to regulations. …”
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Proposing a Postcritical AI Literacy by Eugenia Stamboliev

“…To address these concerns, I suggest moving beyond the focus on algorithmic transparency and towards a post-critical AI literacy to strengthen debates on access, empowerment, and resistance, while not dismissing XAI as a field, nor algorithmic transparency as an intention. …”
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A Review of Recipe Recommendation Methods by Yao Wu, Ling Kang, Quan Guo, Lei Zhao

“…Recipe recommendation aims to provide users with a curated list of recipes tailored to their dietary preferences, nutritional requirements, and other relevant factors. While existing recommendation algorithms have demonstrated effectiveness in traditional domains such as news, music, and product recommendations, there remains a relative paucity of research focused specifically on recipe recommendation within the culinary field, resulting in fragmented findings. …”
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Intelligent Modelling Techniques for Enhanced Thermal Comfort and Energy Optimisation in Residential Buildings by Shamaila Iram, Hafiz Muhammad Athar Farid, Abduljelil Adeola Akande, Hafiz Muhammad Shakeel

“…The study underscores the ability of sophisticated algorithms to clarify the complex relationships between environmental factors and occupant comfort. …”
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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

“…In many applications, including underwater robotics, the coverage problem requires an autonomous vehicle to systematically explore a defined area while minimizing redundancy and avoiding obstacles. …”
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Economic evaluation of diagnostic tests for Thai patients with tuberculosis: A dynamic transmission model approach. by Natthakan Chitpim, Naiyana Praditsitthikorn, Lisa J White, Aronrag Meeyai, Jiraphun Jittikoon, Kornkanok Bunwong, Sitaporn Youngkong, Montarat Thavorncharoensap, Surakameth Mahasirimongkol, Wanvisa Udomsinprasert, Usa Chaikledkaew

“…Compared to SSM with culture and DST, the ICER values (Baht per QALY gained) of TB-LAMP Add-On (3,563), Xpert MTB/RIF Add-On (3,670), and TB-LAMP Initial (6,429) indicated that these algorithms were cost-effective, while Xpert MTB/RIF Initial emerged as a cost-saving option. …”
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Semisupervised Community Preserving Network Embedding with Pairwise Constraints by Dong Liu, Yan Ru, Qinpeng Li, Shibin Wang, Jianwei Niu

“…It preserves the structure and internal attributes of the networks while representing nodes as low-dimensional dense real-valued vectors. …”
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Intelligent Photolithography Corrections Using Dimensionality Reductions by Parag Parashar, Chandni Akbar, Tejender S. Rawat, Sparsh Pratik, Rajat Butola, Shih H. Chen, Yung-Sung Chang, Sirapop Nuannimnoi, Albert S. Lin

“…In this work, we use dimensionality reduction (DR) algorithms to reduce the computation time of complex OPC/EPC problems while the prediction accuracy is maintained. …”
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Characterizing Crop Distribution and the Impact on Forest Conservation in Central Africa by Mohammed S. Ozigis, Serge Wich, Mahsa Abdolshahnejad, Adrià Descals, Zoltan Szantoi, Douglas Sheil, Erik Meijaard

“…While the role of expanding agriculture in deforestation and the loss of other natural ecosystems is well known, the specific drivers in the context of small- and large-scale agriculture remain poorly understood. …”
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Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model by Shahrbanoo Kavianpour, Farshidreza Haghighi, Abbas Sheykhfard, Subasish Das, Grigorios Fountas, Mohammad Mehdi Oshanreh

“…While pedestrian crashes on suburban roads have received more attention over recent years, the role of pedestrian crossing risk in areas adjacent to pedestrian crossing facilities, such as pedestrian overpasses, has been neglected. …”
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Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil by Beth Delaney, Kevin Tansey, Mick Whelan

“…From 191 papers, this review synthesises advancements in BS detection methodologies, such as threshold masking and classification algorithms, while highlighting persistent challenges such as spectral confusion and inconsistent validation practices. …”
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Optimization of Pertamax Fuel Distribution Using Clarke-Wright Savings, Nearest Neighbour, and Goal Programming (Case Study: Malang City) by Tharisa Melani, Sobri Abusini, Marjono Marjono

“…The CWS is applied to group routes efficiently by reducing travel distances, while NN determined the delivery sequence within each route. …”
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Machine Learning-Based Seismic Damage Assessment of a Bridge Portfolio in Cohesive Soil by Burak Ozturk, Ahmed Fouad Hussein, Mohamed Hesham El Naggar

“…This study investigates the application of machine learning (ML) algorithms for seismic damage classification of bridges supported by helical pile foundations in cohesive soils. …”
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The evolving role of programming and LLMs in the development of self-driving laboratories by John R. Kitchin

“…We discuss strategies to mitigate these risks while leveraging LLMs for enhanced efficiency in self-driving laboratories. …”
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Deep Space Insights: Machine Learning Revolutionizing Astrophysical Discoveries by Dutta Samya, Paul Prithwineel

“…Autoencoders and RNNs are used for anomaly detection and time-series analysis, respectively, while GANs enhance the resolution of cosmological simulations. …”
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A Novel Approach for Rapid Detection of Forest Degradation and Diseases Through Anomaly Analysis of Sentinel-2 Spectral Data by Sofiia Drozd, Nataliia Kussul, Hanna Yailymova

“…The aim of this study was to develop an accessible and reliable technique that could match the performance of more complex algorithms while using minimal computational resources. …”
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A Knee Rehabilitation Exercises Dataset for Postural Assessment using Wearable Devices by Panagiotis Kasnesis, Theodora Plavoukou, Amalia Contiero Syropoulou, Lazaros Toumanidis, George Georgoudis

“…The goal of KneE-PAD is to be used for training machine learning algorithms for automatic postural assessment using only wearable sensors (sEMG and IMU), which could become a vital part of a virtual coach to supervise the patients and provide useful feedback to them while executing their prescribed rehabilitation exercises remotely.…”
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