Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference by Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine M. Rombach, David P. McMeekin, Heon Jin, Henry J. Snaith

“…Our approach of coupling spectroscopic measurements with advanced computational analysis will help speed up scientific research in the field of optoelectronic materials and devices and exemplifies how carefully constructed computational algorithms can derive valuable plurality of information from simple datasets. …”
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Querying 3D point clouds exploiting open-vocabulary semantic segmentation of images by A. Alami, A. Alami, F. Remondino

“…This requirement limits them to real-world applications. In this research, we propose an open-vocabulary method for point cloud segmentation, which does not require additional training data beyond the images and point cloud from the survey scene. …”
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A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement by Kun Wang, Ling Han, Juan Liao

“…This paper takes landslide as a special research object. For the problems of landslide detection in remote sensing images, deep learning and playback method is adopted. …”
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Dynamic Control and Analysis of Dual Active Bridge Converters in Grid-Connected PV-BESS by Mehmet Can Sekanli, Samet Yalçin, Okan Bingol

“…Integrating photovoltaic (PV) arrays with battery energy storage systems (BESS) addresses the intermittent nature of solar energy effectively. This research focuses on simulating and analyzing a grid-connected PV-BESS configuration, incorporating a Dual Active Bridge (DAB) converter. …”
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Localization of Conveyor Belt Damages Using a Deep Neural Network and a Hybrid Method for 1D Sequential Data Augmentation by Iwona Komorska, Andrzej Puchalski, Damian Bzinkowski

“…A major challenge encountered during the research was the insufficient amount of measurement data for effectively training deep neural networks. …”
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Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

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Enhancing Physical Layer Security in RIS-Aided HAPS for Non-Terrestrial Networks by Hanieh Memarian, S. Mohammad Razavizadeh, Ali Kuhestani

“…Simulation results demonstrate that our algorithm converges rapidly and outperforms conventional schemes that do not utilize RIS or employ random phases, achieving substantial improvements in secrecy rates. …”
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Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning by Yizhe Wang, Xiaoguang Yang, Yangdong Liu, Hailun Liang

“…The single intersection, arterial lines, and regional road network of a group of multiple intersections are taken as the research object on the paper. Based on the three key parameters of cycle, arterial coordination offset, and green split, a set of hierarchical control algorithms based on reinforcement learning is constructed to optimize and improve the current signal timing scheme. …”
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Real-Time Adaptive Traffic Flow Prediction Based on a GE-GRU-KNN Model by Xiangyu YI, Hongmei ZHOU, Shaopeng ZHONG

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Analysis of Contact Noise Due to Elastic Recovery of Surface Asperities for Spherical Contact by Bora Lee, Kyungseob Kim, Taewan Kim

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Bayesian Optimized GridDehazeNet for Adaptive Haze Removal in Real-World Applications by Sungkwan Youm

“…While models like GridDehazeNet enhance dehazing performance, our research emphasizes that selecting appropriate image data and application methods is even more crucial. …”
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Investigation of combustion patterns in furnace type chemical reactor with non-stoichiometric combustion of fuel in the Ansys CFX software package by P. A. Batrakov, D. G. Mumladze

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The influence of prenatal environmental conditions on the weight of newborn domestic pigs by S. V. Nikitin, S. P. Knyazev, V. I. Ermolayev

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Comparative Study on Combustion and Flame Characteristics of Laminar Methane/Air and N-Butane/Air Flames in a Micro-Slot Burner by Soroush Sheykhbaglou, Seyed Mostafa Robati

“…The stability limit, flame appearance, and emission performance are investigated experimentally. In addition, past research on conventional burners is compared with the results of this study throughout the paper. …”
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Rejection-Free Monte Carlo Simulation of QUBO and Lechner–Hauke–Zoller Optimization Problems by Yoshihiro Nambu

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The design of advertising text keyword recommendation for internet search engines by Fang Wang, Liuying Yu

“…It is possible for individuals to obtain the advertising information they require, whether in an online or offline context. A research proposal is presented with the objective of enhancing the precision of online advertising recommendations. …”
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Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas by David Kasperek, Michal Podpora

“…This results in obtaining file sizes that are significantly smaller. The presented algorithm also involves asynchronous tile downloading, which, combined with the masking of irrelevant areas, improves not only the efficiency but surprisingly also the accuracy of subsequent ML/CV procedures. …”
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A Novel Approach for Improving Cloud Liquid Water Content Profiling with Machine Learning by Anas Amaireh, Yan (Rockee) Zhang, Pak Wai Chan, Dusan Zrnic

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Complex Network Analytics for Structural–Functional Decoding of Neural Networks by Jiarui Zhang, Dongxiao Zhang, Hu Lou, Yueer Li, Taijiao Du, Yinjun Gao

“…To overcome limitations of heuristic compression techniques, we develop a topology-sensitive adaptive pruning algorithm that evaluates critical paths via node strength centrality, preserving structural–functional integrity. …”
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Polish Speech and Text Emotion Recognition in a Multimodal Emotion Analysis System by Kamil Skowroński, Adam Gałuszka, Eryka Probierz

“…The most accurate LSTM models were evaluated on the English set and the Polish nEMO set, demonstrating high efficiency of emotion recognition in the case of Polish data. The conducted research is a key element in the development of a decision-making algorithm for several emotion recognition modules in a multimodal system.…”
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