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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AUTOMATED THERMOGRAMM CALCULATION OF SAUSAGE COOKING BASED ON COMPUTER MODELS by A.B. LISITSYN, A.M. CHERNUKHA, A.V. BORODIN

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A comparison of computational models for eukaryotic cell shape and motility. by William R Holmes, Leah Edelstein-Keshet

“…Collectively, these components are used by the cell to interpret and respond to external stimuli, leading to polarization, protrusion, adhesion formation, and myosin-facilitated retraction. When these processes are choreographed correctly, shape change and motility results. …”
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Multiobjective Offloading Optimization in Fog Computing Using Deep Reinforcement Learning by Hojjat Mashal, Mohammad Hossein Rezvani

“…Edge computing allows IoT tasks to be processed by devices with passive processing capacity at the network’s edge and near IoT devices instead of being sent to cloud servers. …”
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Edge Computing for Real-Time Climate Data Analysis in Smart Farming by Shnain Ammar Hameed, Abed Z., Annapoorna Errabelli

“…In smart farming, real-time insight is scheduled for the informed decision taking but the traditional ways of data collection and processing does not support such fast and accurate measurements. …”
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Federated learning based intelligent edge computing technique for video surveillance by Yu ZHAO, Jie YANG, Miao LIU, Jinlong SUN, Guan GUI

“…With the explosion of global data,centralized cloud computing cannot provide low-latency,high-efficiency video surveillance services.A distributed edge computing model was proposed,which directly processed video data at the edge node to reduce the transmission pressure of the network,eased the computational burden of the central cloud server,and reduced the processing delay of the video surveillance system.Combined with the federated learning algorithm,a lightweight neural network was used,which trained in different scenarios and deployed on edge devices with limited computing power.Experimental results show that,compared with the general neural network model,the detection accuracy of the proposed method is improved by 18%,and the model training time is reduced.…”
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Comparative analysis of computing platforms for onboard micromodule of provisional image recognition by V. A. Kovalev, D. A. Paulenka, E. V. Snezhko, V. A. Liauchuk, A. A. Kalinovski

“…The information provided in this paper could be useful for engineers and researchers who are developing compact budget mobile systems for processing, analyzing and recognition of images.…”
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