SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…In this paper, we propose SensorDBSCAN, a novel semi-supervised method for anomaly detection and diagnosis. …”
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A rapid method for the preparation of an in vitro osteoporosis model of calf vertebrae: histological and biomechanical study by Anli Shi, Anli Shi, Yijie Liu, Qiang Ma, Jiaxin Li, Jiawang Fan, Zhaohui Ge, Zhaohui Ge

“…BackgroundIn vitro biomechanical testing is crucial for the preclinical assessment of novel implant designs. Given the constraints of limited supply and high costs associated with human specimens, calf spines are frequently employed as surrogates for human spines in both in vivo and in vitro biomechanical studies.MethodsThis study selected 60 spinal vertebrae from calves aged between 12 and 18 weeks. …”
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Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran by Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

“…Predictive modeling was used to show the difference between correlation and causation along with interpretability modeling to make the predictive model transparent. …”
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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

“…In clinical practice, interpreting medical images and composing diagnostic reports typically involve significant manual workload. …”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

“…This study introduces the BCR-HDL (Breast Cancer Recurrence using Hybrid Deep Learning) framework, a novel approach designed to predict breast cancer recurrence with high accuracy and interpretability. …”
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Bioinformatic Analysis Reveals Central Role for Tumor-Infiltrating Immune Cells in Uveal Melanoma Progression by Mieszko Lachota, Anton Lennikov, Karl-Johan Malmberg, Radoslaw Zagozdzon

“…Therefore, we propose further investigations of IDO1 and metalloproteinases as novel targets for immunotherapy in lymphocyte-rich metastatic UM patients.…”
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MONITORING AND ANALYSIS OF STUDENTS' PERFORMANCE DURING SOFTWARE DEVELOPMENT by Oleksandr Sharyhin, Vasyl Fedorets, Oksana Klochko

“…The primary focus is on the development of novel performance metrics that effectively capture the level of control required from the Team Leader and the quality of work assessed by the QA Engineer. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…This research proposes a novel feature fusion-based model that incorporates two parallel tracks for efficient feature extraction. …”
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Can Jurors Disregard Inadmissible Evidence? Using the Multiphase Optimization Strategy to Test Interventions Derived from Cognitive and Social Psychological Theories by Pamela N. Sandberg, Tess M. S. Neal, Karey L. O’Hara

“…Interpretation, limitations, and calls to action are discussed.…”
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Archéologie d’un jardin de sculptures du xxe siècle by Aline Gheysens

“…This work will be divided into three stages : collecting (archives, oral evidences, letters, novels...), data production (texts, photographs), careful study of these information according to an experimental protocol and finally, connecting all the produced data together in a book combining text and photography.…”
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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM by Anas Bilal, Ali Alkhathlan, Faris A. Kateb, Alishba Tahir, Muhammad Shafiq, Haixia Long

“…Finally, it can be observed that the performance of the designed Q-BGWO-SQSVM model is excellent, and its potential realization in other datasets and imaging conditions is promising. The novel Q-BGWO-SQSVM model outperforms the state-of-the-art classification methods and offers accurate and reliable early breast cancer detection, which is essential for further healthcare development.…”
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Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis by Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy

“…Future research directions are identified, which advocate for the exploration of novel risk factors and the application of cutting-edge machine learning techniques to foster inclusivity and adaptability in diverse healthcare settings.…”
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Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling by Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

“…This study introduces an innovative extension to stochastic hydrological models, offering a novel combination that has not been previously explored. …”
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New Platform Technology for Comprehensive Serological Diagnostics of Autoimmune Diseases by Annika Willitzki, Rico Hiemann, Vanessa Peters, Ulrich Sack, Peter Schierack, Stefan Rödiger, Ursula Anderer, Karsten Conrad, Dimitrios P. Bogdanos, Dirk Reinhold, Dirk Roggenbuck

“…To address the limitations of IIF and to meet the demand for cost-efficient autoantibody screening, automated IIF methods employing novel pattern recognition algorithms for image analysis have been introduced recently. …”
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How Do Temporal and Geographical Kernels Differ in Reflecting Regional Disparities? Insights from a Case Study in China by Chunzhu Wei, Xufeng Liu, Wei Chen, Lupan Zhang, Ruixia Chao, Wei Wei

“…This study provides novel insights into the spatio-temporal determinants of regional economic disparities, offering a robust analytical framework for policymakers to address region-specific variables driving inequality over time and space. …”
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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

“…To address the low interpretability of complex ML models, the Shapley Additive Explanations (SHAP) method is introduced to clarify all input features. …”
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Humanising nanotoxicology: replacement of animal-derived products in the application of integrated approaches to testing and assessment of nanomaterial inhalation hazard by Roma Fraser, Keira Campbell, Pawel Pokorski, Eve MacKinnon, Katie McAllister, Karla B. Neves, Fiona Murphy

“…This has prompted the design of Novel Approach Methods (NAMs) to streamline risk assessment and predict human hazards without relying on animal testing. …”
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Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence by Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo

“…The primary objective of this study is to develop a highly accurate AI-based algorithm for skin lesion classification that also provides visual explanations to foster trust and confidence in these novel diagnostic tools. By improving transparency, the study seeks to contribute to earlier and more reliable diagnoses. …”
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Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…This research presents a novel approach to fault diagnosis for CNC hobbing cutters using machine learning techniques, leveraging three-axis vibration data to ensure machining precision and tool reliability. …”
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SumGPT: A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Samah Alshathri, Walid El-Shafai

“…In this study, we propose a novel model, SumGPT, which integrates T5 with a Vision Transformer to harness the power of transformer-based architectures for enhanced radiology report summarization. …”
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