An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images by Kiran Jabeen, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Shrooq Alsenan, Usman Tariq, Isaac Ofori

“…Later, two pre‐trained deep learning models were employed, skipped some layers, and fine‐tuned. …”
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Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images by Shiyu Zhang, Pengao Li, Yong Xie, Wen Shao, Xueru Tian

“…The optimal feature subset was selected through the feature selection method, and machine learning algorithms were optimized for paddy rice planting area classification. …”
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Nonparametric quantification of uncertainty in multistep upscaling approaches: A case study on estimating forest biomass in the Brazilian Amazon by Denis Valle, Leo Haneda, Rafael Izbicki, Renan Akio Kamimura, Bruna Pereira de Azevedo, Silvio H.M. Gomes, Arthur Sanchez, Carlos A. Silva, Danilo R.A. Almeida

“…We illustrate the improved empirical coverage of the conformalized predictive intervals using simulated data for a two-step upscaling scenario involving field, UAV LiDAR, and Landsat data. …”
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Dry fruit image classification using stacking ensemble model by Maheen Islam, Mujahidul Islam, Alfe Suny, Abdullah Al Rafi, Abdullahi Chowdhury, Mohammad Manzurul Islam, Saleh Masum, Md Sawkat Ali, Taskeed Jabid, Md Mostofa Kamal Rasel

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Dual defense: Combining preemptive exclusion of members and knowledge distillation to mitigate membership inference attacks by Jun Niu, Peng Liu, Chunhui Huang, Yangming Zhang, Moxuan Zeng, Kuo Shen, Yangzhong Wang, Suyu An, Yulong Shen, Xiaohong Jiang, Jianfeng Ma, He Wang, Gaofei Wu, Anmin Fu, Chunjie Cao, Xiaoyan Zhu, Yuqing Zhang

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A New Framework to Reduce Doctor’s Workload for Medical Image Annotation by Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Zhanyu Wang, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan

“…Accurate annotation of the medical image is the crucial step for image artificial intelligence (AI) clinical application. …”
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Explainable Artificial Intelligence Driven Segmentation for Cervical Cancer Screening by Niruthikka Sritharan, Nishaanthini Gnanavel, Prathushan Inparaj, Dulani Meedeniya, Pratheepan Yogarajah

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New method for taxonomic descriptions with coded notation, producing dynamic and interchangeable output by Douglas Zeppelini, Misael Augusto de Oliveira‐Neto, João Victor Lemos Cavalcante deOliveira, Aila Soares Ferreira, Roniere Andrade deBrito, Bruna Carolline Honório Lopes, Nathan Paiva Brito, Luis Carlos Stievano, Estevam Cipriano Araujo deLima

“…Even though an experienced taxonomist will always be necessary to make a detailed taxonomic description, it is a step forward to a general template to semi‐automated taxon recognition and to future development of auxiliary tools for species description using machine learning and templates to speed up the time‐consuming phase of schematic figures preparation, after the expert interpretations are done.…”
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Defining a radiomics feature selection method for predicting response to transarterial chemoembolization in hepatocellular carcinoma patients by Helen Zhang, Li Yang, Amanda Laguna, Jing Wu, Beiji Zou, Alireza Mohseni, Rajat S. Chandra, Tej I. Mehta, Hossam A. Zaki, Paul Zhang, Zhicheng Jiao, Ihab R. Kamel, Harrison X. Bai

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Multilayer analysis of ethnically diverse blood and urine biomarkers for breast cancer risk and prognosis by Jia Feng, Xing Qi, Chen Chen, Baolin Li, Min Wang, Xuelong Xie, Kailan Yang, Xuan Liu, Rui min Chen, Tongtong Guo, Jinbo Liu

“…Notably, we leveraged Luzhou’s clinical data to integrate HDL-C with conventional tumor markers (CEA, CA125, CA153) into a machine learning model, comparing its diagnostic efficacy against tumor marker combination. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…On the other hand, the analysis of keywords confirms that these articles are often used in order to predict the tourism demand of a destination and arrive at a prediction model, and in the second step, to examine the conditions of sustainable development of tourist destinations by using big data analysis. …”
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Research and Teaching – an Indispensible Requirement of Academic Conservation-Restoration Education by Sebastian Dobrusskin

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Women’s Career Paths in Hungarian Higher Education in the Light of the Bologna Process by Eszter Borsos, Ádám Gergő Kiss

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Fire susceptibility assessment in the Carpathians using an interpretable framework by Melinda Manczinger, László Kovács, Tibor Kovács

“…We applied a two-stage process: first, using various feature selection techniques to refine predictors before the modeling phase, and second, utilising the SHAP framework to interpret model predictions. Between these steps, advanced machine learning models were optimised and trained in the H2O environment, demonstrating high predictive accuracy. …”
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Adopting an Open-Source Processing Strategy for LiDAR Drone Data Analysis in Under-Canopy Archaeological Sites: A Case Study of Torre Castiglione (Apulia) by Nicodemo Abate, Roberto Goffredo, Giorgia Dato, Antonio Minervino Amodio, Antonio Loperte, Alessia Frisetti, Gabriele Ciccone, Sara Elettra Zaia, Maria Sileo, Rosa Lasaponara, Nicola Masini

“…This study introduces a methodology for the improvement of the visibility of archaeological features using an open-source probabilistic machine learning framework applied to UAV LiDAR data from the Torre Castiglione site in Apulia, Italy. …”
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AETUnet: Enhancing Retinal Segmentation With Parameter-Efficient UNet Architecture and Lightweight Attention Mechanism by Kinza Nazir, Yung-Cheol Byun

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Fundamental question determination procedures and project planning in PjBL at Muhammadiyah high schools by Iin Hindun, Sri Wahyuni, N. Nurwidodo

“…Project-Based Learning (PjBL) is a learning model that aims to improve students' critical and creative thinking skills. …”
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Navigating Samarinda's climate: A comparative analysis of rainfall forecasting models by Mislan, Andrea Tri Rian Dani

“…Modeling rainfall data is critical as one of the steps to mitigate natural disasters due to weather changes. …”
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Combining CEFR and 4C CLIL Frameworks for Principled Literature in Language Teaching by Jeremy Redlich, Steven Pattison

“…By adopting the 4C (Content, Cognition, Culture, and Communication) framework from CLIL, and by adapting CEFR principles, benchmarks, and Can-do statements, we propose a method and framework for developing the beginning-to-end stages in a balanced literature in language learning course design. We outline pedagogically sound steps for creating global learning objectives and activities that engage students of varying motivations and language proficiency levels. …”
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Using the realistic mathematics education (RME) approach with scaffolding to enhance mathematical representation ability by Rizki Wahyu Yunian Putra, Sugeng Sutiarso, Nurhanurawati Nurhanurawati

“…Method: The study followed the ADDIE model, which includes five steps: Analysis, Design, Development, Implementation, and Evaluation. …”
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