Rapid detection of antibiotic resistance in Burkholderia pseudomallei using MALDI-TOF mass spectrometry by Nut Nithimongkolchai, Yothin Hinwan, Kanwara Trisakul, Lumyai Wonglakorn, Ploenchan Chetchotisakd, Auttawit Sirichoat, Arnone Nithichanon, Sorujsiri Chareonsudjai, Pisit Chareonsudjai, Jody Phelan, Taane G. Clark, Kiatichai Faksri

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A Multiscale CNN-Based Intrinsic Permeability Prediction in Deformable Porous Media by Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers

“…The primary goal is to develop an efficient, machine learning (ML)-based method that overcomes the limitations of traditional permeability estimation techniques, which often rely on time-consuming experiments or computationally expensive fluid dynamics simulations. …”
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Computer Vision-assisted Wireless Channel Simulation for Millimeter Wave Human Motion Recognition by Zhenyu REN, Chenqing JI, Chao YU, Wanli CHEN, Rui WANG

“…Specifically, the simulation process includes the following steps. First, the human body is modeled as 35 interconnected ellipsoids using a primitive-based model, and motion data of these ellipsoids are extracted from videos of human motion. …”
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Digital Transformation of Education and Challenges of the 21st Century by A. D. Korol, Yu. I. Vorotnitsky

“…The article presents an experience of the Belarusian State University (hereinafter – BSU) in the development and implementation of the concept of creative education, the deployment of a large-scale program for the introduction of distance technologies. The practical steps for the implementation of this program are described, such as the development of a new educational and methodological literature, the creation of an interuniversity portal “Methodology, content, and practice of creative education”, the implementation of the full-time distance training program “Technologies of heuristic education in higher education: teaching methods through discovery” and the project “Online Learning Workshop”. …”
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The Potential of Artificial Intelligence in Pharmaceutical Innovation: From Drug Discovery to Clinical Trials by Vera Malheiro, Beatriz Santos, Ana Figueiras, Filipa Mascarenhas-Melo

“…With the advancement of science, more sophisticated AI techniques, such as machine learning and deep learning, have been developed, allowing machines to learn from large amounts of data and improve their performance over time. …”
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An Improved Multi-Objective Grey Wolf Optimizer for Aerodynamic Optimization of Axial Cooling Fans by Yanzhao Gong, Richard Amankwa Adjei, Guocheng Tao, Yitao Zeng, Chengwei Fan

“…Finally, associative learning was leveraged for archive updating, allowing for perturbative mutation of solutions in crowded regions of the archive to increase solution diversity and improve the algorithm’s search capability. …”
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Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem by Constantin Waubert de Puiseau, Fabian Wolz, Merlin Montag, Jannik Peters, Hasan Tercan, Tobias Meisen

“…In this case, it makes up for the longer inference times required per search step, which are caused by the larger neural network architecture, through better quality decisions per step. …”
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Exploring cement Production's role in GDP using explainable AI and sustainability analysis in Nepal by Ramhari Poudyal, Biplov Paneru, Bishwash Paneru, Tilak Giri, Bibek Paneru, Tim Reynolds, Khem Narayan Poudyal, Mohan B. Dangi

“…Quarrying, raw material processing, and calcination are steps in cement production. The societies in India and Nepal have to deal with environmental issues such as air pollution, resource depletion, and the effects of climate change. …”
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From detection to intervention: An end-to-end system for recognizing the “signal for help” gesture in real-time by Federico Buccellato, Eleonora Vacca, Sarah Azimi, Corrado De Sio, Luca Sterpone

“…Despite its potential, its effectiveness has been impeded by limited public awareness, the risk of misinterpretation, and the lack of reliable automated detection systems.To address these challenges, this paper introduces a framework consisting of two interconnected components: a real-time detection system of the “Signal for Help” gesture using a machine learning-based recognition system and a custom mobile application that receives notifications from the detection system and alerts security personnel in real-time.During the development process, we faced several challenges, including detecting the gesture in crowded environments and keeping the computational load low to ensure the system could run efficiently on edge devices.We overcame these challenges by designing a system that combines hand tracking and feature extraction, using tools such as MediaPipe and DeepSORT, followed by a final classification step. …”
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Scenario Identification and Classification to Support the Assessment of Advanced Driver Assistance Systems by Zafer Kayatas, Dieter Bestle

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Recognition of Industrial Spare Parts Using an Optimized Convolutional Neural Network Model by Chandralekha Mohan, Takfarinas Saber, Priyadharshini Jayadurga Nallathambi

“…Image recognition using 2D and 3D image properties plays an important part in the success of such processes, as it facilitates the identification of the types and components associated with spare parts, a step that is crucial for their success. In this article, a novel Deep Learning-based object recognition model based on a convolutional neural network architecture is proposed and constructed using stacked convolutional layers to extract and learn features of the spare parts efficiently with the goal of improving the effectiveness of the spare part image recognition process. …”
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Unobtrusive human activity classification based on combined time‐range and time‐frequency domain signatures using ultrawideband radar by Mohamad Mostafa, Somayyeh Chamaani

“…First, a preprocessing step was applied for noise and clutter suppression. …”
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Recent advances in 3D and 4D printing in pharmaceutical technology: applications, challenges, and future perspectives by Alaa H. Salama

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Physics-Informed Neural Network for Solving 2D Steady Incompressible Navier-Stokes Equations: Application to Poiseuille Flow by Peter Anthony, Philibus M Gyuk, Isaac H Daniel

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How real-world experiments create and strengthen impact. A generic impact pathway by Emilia Nagy, Martina Schäfer

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Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

“…This innovation represents a significant step forward in AI-driven public health monitoring, fostering a safer and more responsive learning environment.…”
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FEBE-Net: Feature Exploration Attention and Boundary Enhancement Refinement Transformer Network for Bladder Tumor Segmentation by Chao Nie, Chao Xu, Zhengping Li

“…The automatic and accurate segmentation of bladder tumors is a key step in assisting urologists in diagnosis and analysis. …”
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A Framework for User Traffic Prediction and Resource Allocation in 5G Networks by Ioannis Konstantoulas, Iliana Loi, Dimosthenis Tsimas, Kyriakos Sgarbas, Apostolos Gkamas, Christos Bouras

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Radar Waveform Recognition With ConvNeXt and Focal Loss by Liping Luo, Jie Huang, Yang Yang, Dexiu Hu

“…Therefore, ConvNeXt network has stronger feature learning and representation ability compared with other algorithms based on deep learning, and effectively improves the overall recognition rate of 16 classes signals. …”
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Deep convolutional neural network for quantification of tortuosity factor of solid oxide fuel cell anode by Masashi KISHIMOTO, Yodai MATSUI, Hiroshi IWAI

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