Performance of Raman Spectroscopy in biopsy tissue for rapid diagnosis of Tracheobronchial Tuberculosis: A prospective study by Qin Zhang, Mingming Deng, Qian Gao, Xiaoming Zhou, Yu Guo, Yuexiang Wang, Yinghui Fu, Jasmine Lin Zhang, Shuo Chen, Gang Hou

“…The spectral analysis results indicated that differential changes in tissue biomolecules, particularly certain amino acids, among the three groups. K-Nearest Neighbors (KNN), principal component analysis-linear discriminant analysis (PCA-LDA), principal component analysis-support vector machine (PCA-SVM) and decision tree methods were implemented to classify this same spectral data set. …”
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Explainable machine learning and feature engineering applied to nanoindentation data by C.O.W. Trost, S. Žák, S. Schaffer, L. Walch, J. Zitz, T. Klünsner, H. Leitner, L. Exl, M.J. Cordill

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A Method for Identifying Landslide-Prone Areas Using Multiple Factors and Adaptive Probability Thresholds: A Case Study in Northern Tongren, Longwu River Basin, Qinghai Province by Jiawen Bao, Xiaojun Luo, Yueling Shi, Mingyue Hou, Jichao Lv, Guoxiang Liu

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Predictive value of HBeAg titer dynamics for HBsAg clearance in pediatric chronic hepatitis B by Sukjin Hong, Jun Hyun Hwang, Keumoung Kim, Younghae Do, Naeun Kwak, Hyo Rim Suh, Sujin Choi, Ben Kang, Byung-Ho Choe

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Detecting emotional disorder with eye movement features in sports watching by Wei Qiang, Wei Qiang, Lin Yang, Xucheng Zhang, Na Liu, Yanyong Wang, Jipeng Zhang, Yixin Long, Weiwei Xu, Wei Sun

“…Statistical significance was assessed using t-tests and U-tests, and machine learning models were employed for classification (SVM for single-feature analysis and a decision tree for significant features) with k-fold validation. …”
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Enhancing Transparency of Neural Networks for Super-Resolution in Remote Sensing Using Local Attribution Maps by M. Marani, M. Marani, X. Wei, X. Wei, F. Lamberti, H. Zhang, H. Zhang

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A New Computer-Aided Diagnosis System for Breast Cancer Detection from Thermograms Using Metaheuristic Algorithms and Explainable AI by Hanane Dihmani, Abdelmajid Bousselham, Omar Bouattane

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A Summary of Recent Advances in the Literature on Machine Learning Techniques for Remote Sensing of Groundwater Dependent Ecosystems (GDEs) from Space by Chantel Nthabiseng Chiloane, Timothy Dube, Mbulisi Sibanda, Tatenda Dalu, Cletah Shoko

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An Improved Method for Human Activity Detection with High-Resolution Images by Fusing Pooling Enhancement and Multi-Task Learning by Haoji Li, Shilong Ren, Lei Fang, Jinyue Chen, Xinfeng Wang, Guoqiang Wang, Qingzhu Zhang, Qiao Wang

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XAI for Point Cloud Data Using Perturbations Based on Meaningful Segmentation by Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel

“…We make use of point cloud segmentation models to generate explanations for the working of classification models. …”
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Black box algorithms and the rights of individuals: no easy solution to the “explainability” problem by Jarek Gryz, Marcin Rojszczak

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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

“…By leveraging machine learning and statistical learning techniques, we aim to develop a robust clinical decision support system for dental practitioners.MethodsThis research aims to predict the eruption of 3rd molars in the mandible by analyzing three parameters: the distance from the lower 2nd molar to the anterior border, the mesiodistal width of the third molar, and the distance from the apex of the root to the inferior border of the mandible. …”
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A new binary grasshopper optimization algorithm for feature selection problem by Haouassi Hichem, Merah Elkamel, Mehdaoui Rafik, Maarouk Toufik Mesaaoud, Chouhal Ouahiba

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Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

“…The results of the high DOA classification indicated that among all models, XGBoost-Up, XGBoost-Down, and RF-Down were the top three models, achieving the highest overall scores in evaluation metrics including Area Under the ROC Curve (AUC), sensitivity, precision, and F1-score. …”
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Zonation of Debris Cones and Talus Slopes in Aghlaghan Chay Basin (South Western Slope of Sabalan Mountain) by aghil Madadi, ata gafari, elnaz piroozi

“…Vikor model in seven states has been done and this are described below: First stage: configuration of decision matrix in respect of criteria number. …”
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Establishment of a prognostic nomogram and risk stratification system for patients with combined hepatocellular-cholangiocarcinoma by Qiuhan Heng, Mingxing Hou, Ying Leng, Hua Yu

“…The C-index, AUC value and calibration curve of the nomogram show that the model has satisfactory accuracy. Additionally, DCA, NRI values (training set: 0.392 for 1-year, 0.425 for 3-year and 0.414 for 5-year CSS prediction), and IDI (training set: 0.165 for 1-year, 0.151 for 3-year and 0.151 for 5-year CSS prediction) indicate that the performance of the established nomogram is significantly better than that based solely on the AJCC standard tumor staging (P < 0.05). …”
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Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis by Ahmed Alfakeeh, Mhd Saeed Sharif, Abin Daniel Zorto, Thiago Pillonetto

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Comparing Domain Expert and Machine Learning Data Enrichment of Building Registry by Ants Torim, Elisa Iliste, Ergo Pikas, Innar Liiv, Tarmo Robal, Targo Kalamees

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An image‐based facial acupoint detection approach using high‐resolution network and attention fusion by Tingting Zhang, Hongyu Yang, Wenyi Ge, Yi Lin

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Invasiveness risk assessment of non-native species of the redbelly tilapia (Coptodon zillii, Gervais 1848) in Shadegan wetland basin by Maryam Peymani, Asghar Abdoli, Seyed Daryoush Moghaddas

“…Also, there was a high climate match between the risk assessment area and the native range of the species in the Köppen-Geiger climate classification system. Conclusions: The trinational risk assessment methods, GABLIS, AS-ISK, and Harmonia+ models were able to show the invasiveness of the non-native C. zillii in Shadegan Wetland basin as literature and field evidence demonstrate that the species has exerted strong and adverse impacts on native fishes and local people livelihood in the risk assessment area. …”
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