Using Multimodal Foundation Models for Detecting Fake Images on the Internet with Explanations by Vishnu S. Pendyala, Ashwin Chintalapati

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Studying Pupil-Size Changes as a Function of Task Demands and Emotional Content in a Clinical Interview Situation by Daniel Gugerell, Benedikt Gollan, Moritz Stolte, Ulrich Ansorge

“…The human pupil changes size in response to processing demands or cognitive (work)load and emotional processing. …”
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Doppler Effect Estimation and Compensation for Satellite Systems in Geolocation Problems by Marcello Asciolla, Angela Cratere, Francesco Dell'Olio

“…The purpose of the paper is not only to provide a reference model to predict the necessary correction on the frequency of the signal due to the Doppler effect, but also to present a real-time strategy for compensation in the pipeline of signal processing after its geolocation. The main goal of the paper is to give real-time estimation and compensation strategy for the Doppler factor considering only the current instantaneous kinematic information, without the information on the history of the signal over time. …”
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New algorithms to Enhanced Fused Images from Auto-Focus Images by Heba Kh. Abbas, Anwar H Al-Saleh, Haidar Jawad Mohamad, Ali Abid Al-Zuky

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Risk‐Taking Facilitates Implicit Learning in Young Adults by Amanda Cremone‐Caira, Melissa A. St. Hilaire

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Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos by Hajar Keshavarz, Zohreh Ansari, Hossein Abootalebian, Babak Sabet, Mohammadreza Momenzadeh

“…Background: Deep learning has gained much attention in computer-assisted minimally invasive surgery in recent years. …”
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Method for Extracting Arterial Pulse Waveforms from Interferometric Signals by Marian Janek, Ivan Martincek, Gabriela Tarjanyiova

“…A key novelty of this work is the presentation of a complete Python-based processing pipeline, which is made publicly available as open-source code on GitHub (git version 2.39.5). …”
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QDLTrans: Enhancing English Neural Machine Translation With Quantized Attention Block and Tunable Dual Learning by Xing Liu

“…Neural Machine Translation (NMT) is a fundamental task in natural language processing, typically relying on large-scale parallel corpora to achieve high translation quality. …”
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Detecting Solar Flare Precursors Using DEFT by Larisza D. Krista

“…Continuing research on EUV precursors is essential to better understand preflare processes that build and reduce magnetic instability prior to main-stage flares. …”
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Evaluating YOLO Variants With Transfer Learning for Real-Time UAV Obstacle Detection in Simulated Forest Environments by Shouthiri Partheepan, Farzad Sanati, Jahan Hassan

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Impact of Electricity Price Reductions on the Profitability and Sizing of Photovoltaic Systems in Agri-Food Industries by Fernando R. Mazarrón, José Álvarez, Jorge Cervera-Gascó, Jesús López-Santiago

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Non-Destructive Monitoring of External Quality of Date Palm Fruit (<i>Phoenix dactylifera</i> L.) During Frozen Storage Using Digital Camera and Flatbed Scanner by Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski

“…Their quality was evaluated, in a non-destructive manner, based on texture features extracted from images acquired using a digital camera and flatbed scanner. The whole process of image processing was carried out using MATLAB R2024a and Q-MAZDA 23.10 software. …”
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Non-metric digital reconstruction of Roman mosaics excavated in the city of Ravenna (Italy) by Mariapaola Monti, Giuseppe Maino

“…The purpose of this digital workflow was to give an example of virtual processing useful for conservators and restorers, as well as for scholars (archaeologists, art historians, etc.) that can be carried out without specific information technology expertise and computer skills. …”
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GDFC-YOLO: An Efficient Perception Detection Model for Precise Wheat Disease Recognition by Jiawei Qian, Chenxu Dai, Zhanlin Ji, Jinyun Liu

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Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach by Alfredo Cuzzocrea, Mst Shapna Akter, Hossain Shahriar, Pablo García Bringas

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A structured-illumination reflectance imaging dataset for woody breast assessment of broiler meatZenodo by Yuzhen Lu, Hamed Sardari

“…A custom-assembled SIRI platform was used for sample imaging, and it mainly consisted of a broadband quartz tungsten halogen light source, a digital micro-mirror-device-based projector that shined phase-shifted sinusoidal patterns of light over samples, a monochromatic camera with a resolution of 2048 × 2048 pixels, and a computer, operating in an enclosed chamber. A total of 168 broiler breast fillets were collected from a commercial poultry processing plant and categorized by trained personnel into 72 “Normal” (WB-free) and 96 “Defective” (WB-affected) fillets based on tactile palpation and visual inspection. …”
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Sulfur-Fumigated Ginger Identification Method Based on Meta-Learning for Different Devices by Tianshu Wang, Jiawang He, Hui Yan, Kongfa Hu, Xichen Yang, Xia Zhang, Jinao Duan

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Categorizing E-cigarette-related tweets using BERT topic modeling by D. Murthy, S. Keshari, S. Arora, Q. Yang, A. Loukas, S.J. Schwartz, M.B. Harrell, E.T. Hébert, A.V. Wilkinson

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Software analysis of scientific texts: comparative study of distributed computing frameworks by Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev

“…This study aims to conduct a study of popular distributed computing frameworks for scientific text processing. …”
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Fog computing based radio access networks：architecture，principles and challenges by Bonan YIN, Yuan AI, Mugen PENG

“…To reduce the burden of fronthaul link，avoid large-scale wireless signal processing in centralized baseband unit（BBU）pool，and take full advantage of processing and storage capabilities in edge devices，a fog computing based radio access network（F-RAN）was presented as an evolution form of heterogeneous cloud radio access networks.The core idea of F-RAN was to take full advantage of processing and storage capabilities in edge devices which could achieve the local distributed content delivery，the local distributed collaboration radio signal processing and the local distributed cooperative radio resource management functions.System architectures of F-RAN，promising key techniques，and researching open issues of F-RAN were discussed in detail.…”
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