Seamless Optimization of Wavelet Parameters for Denoising LFM Radar Signals: An AI-Based Approach by Talaat Abdelfattah, Ali Maher, Ahmed Youssef, Peter F. Driessen

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Large language models in breast cancer reconstruction: A framework for patient-specific recovery and predictive insights by Chunrao Zheng, Qunfang Li, Geling Lu, Yuchang Mai, Yuan Hu

“…Thus, a unique framework that uses Natural Language Processing (NLP) and Large Language Models (LLMs) is developed to improve patient-specific recovery and predictive insights during breast cancer reconstruction. …”
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Efficiency of the Miniature Anti-jam GNSS Antenna Array by A. V. Nemov, D. A. Nemov, D. L. Minh, S. A. Saveliev, A. N. Plastikov

“…The efficiency of the miniature antenna is estimated in the process of interference suppression by means of computer simulation. …”
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Resilience assessment of mobile emergency generator-assisted distribution networks: A stochastic geometry approach by Chenhao Ren, Rong-Peng Liu, Wenqian Yin, Qinfei Long, Yunhe Hou

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University proceedings. Volga region. Technical sciences by A.A. Ignatiev, V.A. Dobryakov, V.A. Revyakin

“…The results of many years of research of turning and grinding machines have shown that in production conditions it is the second direction that allows you to quickly assess the dynamic quality of the machines, subject to computer processing of measuring information. Results and conclusions. …”

Design and Implementation of an Intelligent Web Service Agent Based on Seq2Seq and Website Crawler by Mei-Hua Hsih, Jian-Xin Yang, Chen-Chiung Hsieh

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Application of Time-Weighted PageRank Method with Citation Intensity for Assessing the Recent Publication Productivity and Partners Selection in R&D Collaboration by Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Aidos Mukhatayev, Yurii Andrashko, Sapar Toxanov, Adil Faizullin, Khanat Kassenov

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Deep Learning-Assisted Diagnostic System: Apices and Odontogenic Sinus Floor Level Analysis in Dental Panoramic Radiographs by Pei-Yi Wu, Yuan-Jin Lin, Yu-Jen Chang, Sung-Tsun Wei, Chiung-An Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu

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AI-Driven Background Segmentation for High-Throughput 3D Plant Scans by Serkan Kartal, Jan Masner, Jana Kholova, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska

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Adaptive Real-Time Channel Estimation and Parameter Adjustment for LoRa Networks in Dynamic IoT Environments by Fatimah Alghamdi, Fuad Bajaber

“…This approach employs an adaptive sliding window technique for efficient processing of recent data. Subsequently, a multi-task long short-term memory (LSTM) neural network is introduced for the simultaneous prediction of multiple channel states. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

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Blended teaching of university mathematics courses based on Online Merge Offline model by Yuping Zhang, Changzhou Dong

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Large scale summarization using ensemble prompts and in context learning approaches by Andrés Leiva-Araos, Bady Gana, Héctor Allende-Cid, José García, Manob Jyoti Saikia

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Real time forecasting in the coastal zone: Stream power in the lower Mississippi River by Laura Manuel, Ehab Meselhe, Kelin Hu, Arnejan van Loenen, Thies Blokhuijsen, Md Nazmul Azim Beg

“…However, coastal zones remain challenging for forecasting due to the complexity of coastal processes governing the dynamics in these regions. …”
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A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection by Majid Joudaki, Mehdi Imani, Hamid R. Arabnia

“…Recognizing human actions through video analysis has gained significant attention in applications like surveillance, sports analytics, and human–computer interaction. While deep learning models such as 3D convolutional neural networks (CNNs) and recurrent neural networks (RNNs) deliver promising results, they often struggle with computational inefficiencies and inadequate spatial–temporal feature extraction, hindering scalability to larger datasets or high-resolution videos. …”
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Technology System and Engineering Practice of Data Field by Manqing Wu, Richang Hong, Zuocheng Wang, Chuanwen Lin, Yunjie Ma, Jiafeng Guo, Le Wu, Ju Fan, Lan Zhang, Xiang Wang

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Deep Learning Based Mobile Application for Automated Plant Disease Detection by B. Ramana Reddy, Gauri Kalnoor, Mudigonda Devashish, Palagiri Sai Karthik Reddy

“…To enhance its practical relevance, we incorporate a classical image processing pipeline using OpenCV and NumPy to estimate the severity of infection by computing the ratio of diseased to total leaf area. …”
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Analytical review of visualization methods for launch and landing of spacecraft with consideration of 64-bit system boundary value issues by Oleksii Vynokur, Iryna Perova, Polina Zhernova

“…However, due to the limitations of 64-bit precision, they are prone to visualization artifacts and computational errors that compromise the accuracy of the simulations. …”
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EEG-Based Attention Classification for Enhanced Learning Experience by Madiha Khalid Syed, Hong Wang, Awais Ahmad Siddiqi, Shahnawaz Qureshi, Mohamed Amin Gouda

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A New Multi-granular 2-Tuple WASPAS-H Approach for Evaluating Water Resources for Olive Tree Irrigation under Group Decision-Making by Wiem Daoud-BenAmor, Hela Moalla Frikha

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