Durability prediction of sustainable marine concrete under freeze-thaw cycles using multi-objective machine learning models by Aïssa Rezzoug, Ali H. AlAteah, Sadiq Alinsaif, Sahar A. Mostafa

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vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations by Christian L. Vielhaus, Mauri Seidel, Vincent Latzko, Alexander Grob, Peter Sossalla, Martin Reisslein, Frank H. P. Fitzek

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Analysis of random factors of the self-education process by A. A. Solodov

“…The purpose is to describe observable and unobservable data and developing algorithms for optimal evaluation. Further, such evaluations can be used for the individual characteristics of the process of self-study or for comparison of different students. …”
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Comparing and Combining Artificial Intelligence and Spectral/Statistical Approaches for Elevating Prostate Cancer Assessment in a Biparametric MRI: A Pilot Study by Rulon Mayer, Yuan Yuan, Jayaram Udupa, Baris Turkbey, Peter Choyke, Dong Han, Haibo Lin, Charles B. Simone

“…<b>Background:</b> Prostate cancer management optimally requires non-invasive, objective, quantitative, accurate evaluation of prostate tumors. The current research applies visual inspection and quantitative approaches, such as artificial intelligence (AI) based on deep learning (DL), to evaluate MRI. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…To combine the datasets we denoise the contourings in our dataset by using an effective yet simple algorithm based on standard computer vision methods only. The performance of the presented methodology is compared and evaluated using the dice score metric and 5-fold cross-validation on all datasets. …”
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Hand Gesture Recognition From Wrist-Worn Camera for Human&#x2013;Machine Interaction by Hong-Quan Nguyen, Trung-Hieu Le, Trung-Kien Tran, Hoang-Nhat Tran, Thanh-Hai Tran, Thi-Lan Le, Hai Vu, Cuong Pham, Thanh Phuong Nguyen, Huu Thanh Nguyen

“…To the best of our knowledge, this is the first benchmark released for studying hand gestures from a wrist-worn camera. We then evaluate various CNN models for vision-based recognition. …”
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A Nested Named Entity Recognition Model Robust in Few-Shot Learning Environments Using Label Description Information by Hyunsun Hwang, Youngjun Jung, Changki Lee, Wooyoung Go

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Based on TransRes-Pix2Pix network to generate the OBL image during SMILE surgery by Zeyu Zhu, Zeyu Zhu, Peifen Lin, Lingling Zhong, Qing Wang, Jingjing Xu, Kang Yu, Zheliang Guo, Yicheng Xu, Taorong Qiu, Yifeng Yu

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A novel global MPPT method based on sooty tern optimization for photovoltaic systems under complex partial shading by Mohammed Taha Kaaitan, Rashid Ali Fayadh, Zuhair S. AL-sagar, Salam J. Yaqoob, Mohit Bajaj, Mebratu Sintie Geremew

“…Moreover, STOA maintained minimal power oscillations across all test patterns, ensuring stable operation and reduced wear on system components. Its computational simplicity and high precision make it particularly well-suited for real-time embedded applications in distributed solar energy systems. …”
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Using Crawlers for Targeted Data Extraction from a Local Multi-File Database by Alexandru ANGHELESCU, Ciprian-Viorel STUPINEAN, Ariana-Anamaria CORDOȘ

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CC-Former: Urban Flood Mapping from InSAR Coherence with Vision Transformer: Libya and Storm Daniel as Test Case by T. Saleh, T. Saleh, T. Saleh, S. Holail, M. Al-Saad, F. Xu, M. Zahran, G.-S. Xia, G.-S. Xia

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Comparison of 3D and 2D area measurement of acute burn wounds with LiDAR technique and deep learning model by Che Wei Chang, Che Wei Chang, Hanwei Wang, Feipei Lai, Feipei Lai, Feipei Lai, Mesakh Christian, Shih Chen Huang, Han Yi Tsai

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Wearable device for axillary lymph node screening in breast cancer based on infrared thermography and artificial intelligence by Xiaoying Zhong, Jinqiu Deng, Ping Lu, Zhichao Zuo, Yu Zhao, Yidong Zhou, Xuefei Wang

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Antigenic variations of recent street rabies virus by Wenbo Wang, Jian Ma, Jianhui Nie, Jia Li, Shouchun Cao, Lan Wang, Chuanfei Yu, Weijin Huang, Yuhua Li, Yongxin Yu, Mifang Liang, Brett Zirkle, Xiaojiang S. Chen, Xuguang Li, Wei Kong, Youchun Wang

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A Resource-Efficient 3D U-Net for Hippocampus Segmentation Using CLAHE and SCE-3DWT Techniques by Faizaan Fazal Khan, Jun-Hyung Kim, Chun-Su Park, Ji-In Kim, Goo-Rak Kwon

“…This study addresses these challenges by developing a computationally efficient and accurate 3D U-Net model tailored for hippocampus segmentation. …”
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LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds by Veljka Kocic, Niko Lukac, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier del Ser, Andreas Holzinger

“…By leveraging the reasoning capabilities of LLMs, we generate perturbations that are not only computationally efficient but also semantically meaningful. …”
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Enhancing Privacy in IoT Networks: A Comparative Analysis of Classification and Defense Methods by Ahmet Emre Ergun, Ozgu Can, Murat Kantarcioglu

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Forecasting South African grain prices and assessing the non-linear impact of inflation and rainfall using a dynamic Bayesian generalized additive model by Albert Antwi, Albert Antwi, Emelia Thembile Kammies, Emelia Thembile Kammies, Lyson Chaka, Martins Akugbe Arasomwan, Martins Akugbe Arasomwan

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Introduction by Merve Bedir

“…Chair Design Informatics, research program Computation and Performance aims to improve the performance of buildings by using computational methods for model generation and analysis, decision-making and design communication, in an interdisciplinary context. …”
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Gestational exposure to environmental chemical mixtures and cognitive abilities in children: A pooled analysis of two North American birth cohorts by Jagadeesh Puvvula, Wei-Ting Hwang, Lawrence McCandless, Changchun Xie, Joseph M. Braun, Ann M. Vuong, Youssef Oulhote, Enrique F. Schisterman, Russell T. Shinohara, Linda Booij, Maryse F. Bouchard, Kristin Linn, Michael M. Borghese, Jean R. Seguin, Angelika Zidek, Christine Till, William Fraser, Kimberly Yolton, Kim M. Cecil, Jillian Ashley-Martin, Tye E. Arbuckle, Bruce Lanphear, Aimin Chen

“…We assessed linear associations using quantile g-computation and non-linear associations using Bayesian Kernel Machine Regression (BKMR) methods, adjusted for covariates. …”
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