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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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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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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An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images by Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang

“…A commercial CAD system based on deep convolutional neural networks (DL-CAD) was used to process the CPIs, 40, 50, 60, 70, and 80 keV monochromatic images of 130 spectral CT images. …”
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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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INTEGRATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN TEACHING RUSSIAN AS A FOREIGN LANGUAGE FOR SPECIAL PURPOSES by Sergey S. Chromov, Nadezda A. Gulayeva, Irina S. Zelenetskaya

“…In thisregard the educational process of teaching Russian as a foreign language is examinedfor promoting quality improvement in the process of ELT.Technology-enhances language learning(TELL) is described through computer-assisted language learning(CALL)-presentations, webinars, videolectures. …”
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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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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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Information and Communication Technologies in the Product Quality Management System of Industrial Enterprise by Vitalina Babenko, Liudmyla Yemchuk, Larysa Dzhulii, Hanna Tsymbaliuk, Olena Fridman, Lesia Bilorusets

“…The article investigates in-depth the theoretical provisions for the construction of modern product quality management systems, providing for the optimization and transformation of individual production and economic processes to a higher quality level, as well as the functions integration of enterprise management system and product quality management system; such integration is carried out on the basis of knowledge, information and communications, which are the basis of external integration processes of the enterprise. …”
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Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics by Nuray Vakitbilir, Amanjyot Singh Sainbhi, Abrar Islam, Alwyn Gomez, Alwyn Gomez, Kevin Yuwa Stein, Logan Froese, Tobias Bergmann, Davis McClarty, Rahul Raj, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler

“…These models provide valuable insights into the dynamic nature of the brain by representing intricate neural, vascular, and metabolic processes. The review highlights the clinical implications of using computational models to understand cerebral physiology, while also acknowledging the inherent limitations, including the need for stationary data, challenges with high dimensionality, computational complexity, and limited forecasting horizons.…”
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COMPARATIVE EVALUATION OF INDICATORS OF STRUCTURAL AND MECHANICAL PROPERTIES OF WHEAT GRAIN by P. V. Medvedev, V. A. Fedotov, E. S. Lukyanova

“…Information about them must be taken into account when preparing grain for processing.The aim of the research was a comparative assessment of the effect of virtuosity and hardness of grain on the quality of the obtained flour and bakery and pasta made from it. …”
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