Modeling Multimedia Ad Exposure: The Role of Low-Level Audiovisual Features by Urban Burnik, Andrej Kosir, Gregor Strle

“…Results indicated that polynomial models outperformed linear models, capturing complex interactions and providing better predictive accuracy. …”
Get full text

GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning by Zhouhang Shao, Xuran Wang, Enkai Ji, Shiyang Chen, Jin Wang

“…Our key contributions include: 1) A heterogeneous graph representation incorporating products, sellers, and buyers as nodes with their relationships as edges; 2) A novel dual-stage learning framework combining unsupervised graph embedding with semi-supervised fine-tuning; and 3) An attention mechanism that effectively captures complex patterns within network structures. …”
Get full text

A New Optical Surface Measurement Method with Iterative Sparsity-Constrained Threshold Phase Retrieval Algorithm by Yi Niu, Yang Liu, Guangming Shi, Dahua Gao, Guo Li

“…Due to its low complexity and acceptable accuracy, phase retrieval technique has been proposed as an alternative to solve the classic optical surface measurement task. However, to capture the overall wave field, phase retrieval based optical surface measurement (PROSM) system has to moderate the CCD position during the multiple-sampling procedure. …”
Get full text

How overconfidence and mental accounting influence investments? The moderating role of financial literacy by Johny Budiman, Jason Yodiputra, Candy Candy, Isnaini Nuzula Agustin

“…It is also consistent with the notion that financial literacy at least in terms of mental accounting biases under some conditions might actually reinforce certain specific cognitive shortcuts. …”
Get full text

High-throughput method characterizes hundreds of previously unknown antibiotic resistance mutations by Matthew J. Jago, Jake K. Soley, Stepan Denisov, Calum J. Walsh, Danna R. Gifford, Benjamin P. Howden, Mato Lagator

“…We present a high-throughput technique – Quantitative Mutational Scan sequencing (QMS-seq) – that enables quantitative comparison of which genes are under antibiotic selection and captures how genetic background influences resistance evolution. …”
Get full text

CNN Based Automatic Speech Recognition: A Comparative Study by Hilal Ilgaz, Beyza Akkoyun, Özlem Alpay, M. Ali Akcayol

“…The most advanced results have been obtained with speech recognition systems created using convolutional neural network (CNN) and recurrent neural networks (RNN). Since CNNs can capture local features effectively, they are applied to tasks with relatively short-term dependencies, such as keyword detection or phoneme- level sequence recognition. …”
Get full text

Flow optimization in vascular networks by Radu C. Cascaval, Ciro D'Apice, Maria Pia D'Arienzo, Rosanna Manzo

“…Detailed $3$D studies of flow in the arterial system based on the Navier-Stokes equations require high computational power, hence reduced models are often used, both for the constitutive laws and the spatial domain. In order to capture the major features of the phenomena under study, such as variations in arterial pressure and flow velocity, the resulting PDE models on networks require appropriate junction and boundary conditions. …”
Get full text

The Ipsilesional Upper Limb Can Be Affected following Stroke by Gemma H. Kitsos, Isobel J. Hubbard, Alex R. Kitsos, Mark W. Parsons

“…Results. This review captured 27 articles that met the inclusion criteria. …”
Get full text

Simulation-Based Sensor Location Model for Arterial Street by Qinxiao Yu, Ning Zhu, Geng Li, Shoufeng Ma

“…Numerical experiments are conducted in 3 conditions: synchronized traffic signals, green wave traffic signals, and vehicle-actuated signals. The results indicate that the sensors should not be placed in vehicle queuing area. …”
Get full text

Classification and Analysis of <em>Agaricus bisporus</em> Diseases with Pre-Trained Deep Learning Models by Umit Albayrak, Adem Golcuk, Sinan Aktas, Ugur Coruh, Sakir Tasdemir, Omer Kaan Baykan

“…This research evaluates 20 advanced convolutional neural network (CNN) architectures for classifying mushroom diseases in <i>Agaricus bisporus</i>, utilizing a custom dataset of 3195 images (2464 infected and 731 healthy mushrooms) captured under uniform white-light conditions. The consistent illumination in the dataset enhances the robustness and practical usability of the assessed models. …”
Get full text

Loosening metal nodes in metal-organic frameworks to facilitate the regulation of valence by Yu-Xia Li, Jia-Xin Shen, Ze-Jiu Diao, Shi-Chao Qi, Xiao-Qin Liu, Lin-Bing Sun

“…The obtained HK-T-V possessing abundant Cu+ sites can capture 0.809 mmol/g thiophene in adsorptive desulfurization, 2.5 times higher than HK-V and superior to most reported adsorbents.…”
Get full text

Transformer-Driven Inverse Learning for AI-Powered Ceramic Material Innovation With Advanced Data Preprocessing by Murad Ali Khan, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do-Hyeun Kim

“…These results show the effectiveness of combining imputation, augmentation, and advanced AI modeling in capturing complex material properties. The study highlights the potential of AI-driven methodologies to significantly improve prediction accuracy in material discovery, offering valuable insights for developing future ceramic materials.…”
Get full text

Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces by Junzhi Yu, Kai Wang, Min Tan, Jianwei Zhang

“…Particularly, a pelvic fin actuated sideward swimming gait was first implemented. …”
Get full text

Temporal Dynamics of Reproduction in Hemiramphus brasiliensis (Osteichthyes: Hemiramphidae) by Mônica Rocha de Oliveira, Sathyabama Chellappa

“…This paper presents data on sex ratio, length at first sexual maturity, macroscopic and histological aspects of gonad development, gonadosomatic index (GSI), reproductive period, and fecundity of H. brasiliensis. The fishes were captured from the coastal waters of Rio Grande do Norte, northeastern Brazil. …”
Get full text

Adaptive Sliding Mode Control of Mobile Manipulators with Markovian Switching Joints by Liang Ding, Haibo Gao, Kerui Xia, Zhen Liu, Jianguo Tao, Yiqun Liu

“…The hybrid joints of manipulators can be switched to either active (actuated) or passive (underactuated) mode as needed. …”
Get full text

Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing by Kristina Klarić, Ivana Perić, Karla Vukman, Fran Papić, Miljenko Klarić, Petra Grošelj

“…The proposed model’s ability to capture cascading effects and a nuanced prioritization enables a more precise risk assessment, thereby supporting resilience and process efficiency in the furniture-manufacturing sector. …”
Get full text

Projecting Future Climate Change Scenarios Using Three Bias-Correction Methods by Donghyuk Kum, Kyoung Jae Lim, Chun Hwa Jang, Jichul Ryu, Jae E. Yang, Seong Joon Kim, Dong Soo Kong, Younghun Jung

“…In particular, our proposed method considerably improved the bias-corrected precipitation by capturing both the high peaks and amounts of precipitation as compared to that from the CF-only and QM-only methods. …”
Get full text

Parallel Computing for Efficient and Intelligent Industrial Internet of Health Things: An Overview by Xin Yang, Shah Nazir, Habib Ullah Khan, Muhammad Shafiq, Neelam Mukhtar

“…The linkage of computation and interoperability are supported through various intelligent sensors, controllers, and actuators. The role of parallel computing for efficient and Intelligent Industrial Internet of Health Things is obvious to analyze and process different healthcare situations. …”
Get full text

Optical widefield nuclear magnetic resonance microscopy by Karl D. Briegel, Nick R. von Grafenstein, Julia C. Draeger, Peter Blümler, Robin D. Allert, Dominik B. Bucher

“…Here, we employ nitrogen-vacancy centers in diamond as a quantum sensor, which converts NMR signals into optical signals that are subsequently captured by a high-speed camera. Unlike traditional magnetic resonance imaging, our method records the NMR signal over a wide field of view in real space. …”
Get full text

On Some Fundamental Peculiarities of the Traveling Wave Reactor by V. D. Rusov, V. A. Tarasov, I. V. Sharph, V. N. Vashchenko, E. P. Linnik, T. N. Zelentsova, M. E. Beglaryan, S. A. Chernegenko, S. I. Kosenko, V. P. Smolyar

“…It is shown for the first time that the capture and fission cross sections of 238U and 239Pu increase with temperature within 1000–3000 K range, which under certain conditions may lead to a global loss of the nuclear burning wave stability. …”
Get full text