Deep hashing and attention mechanism-based image retrieval of osteosarcoma scans for diagnosis of bone cancer by Taisheng Zeng, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang, Mengde Ling

“…Method: The proposed algorithm significantly improves osteosarcoma cell microscopic image retrieval efficiency and accuracy using deep hashing and attention mechanisms. …”
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Influence of onion skin powder on nutritional and quality attributes of wheat pasta. by Monika Michalak-Majewska, Dorota Teterycz, Siemowit Muszyński, Wojciech Radzki, Emilia Sykut-Domańska

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Simultaneous determination of 7 thiols associated proteins in lymphoma patients’serum and cerebrospinal fluid by UHPLC-HRMS technique by Qingkun Ma, Mei Zhang, Yongshuai Fan, Han Zhao, Kun Wang, Xiaojing Wang, Yanling Mu

“…Ultimately, this method greatly improves discrimination efficiency of model with accuracy of 98.83%. …”
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Harnessing Machine Learning for Intelligent Networking in 5G Technology and Beyond: Advancements, Applications and Challenges by Kristi Dulaj, Abdulraqeb Alhammadi, Ibraheem Shayea, Ayman A. El-Saleh, Mohammad Alnakhli

“…Additionally, ML-driven methods improve cybersecurity in 5G settings. Furthermore, the integration of ML in 5G networks is pivotal for advancing intelligent transportation systems, enabling dynamic route optimization, adaptive traffic management, and enhanced vehicular communication. …”
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Severity assessment of burned skin based on anisotropy of optical coherence elastography by Heng Liu, Di Yang, Renfei Jia, Weike Wang, Lili Shao, Quanzhong Liu, Yanmei Liang

“…Distinguishing the severity of burned skin from structural optical coherence tomography (OCT) intensity maps remains a challenging task, and functional imaging from an elastic perspective can improve the accuracy of burned skin examination. As a functional extension of OCT, optical coherence elastography (OCE) can reveal the mechanical properties of samples while inheriting the imaging advantages of OCT. …”
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A Pilot Study: Sleep and Activity Monitoring of Newborn Infants by GRU-Stack-Based Model Using Video Actigraphy and Pulse Rate Variability Features by Ádám Nagy, Zita Lilla Róka, Imre Jánoki, Máté Siket, Péter Földesy, Judit Varga, Miklós Szabó, Ákos Zarándy

“…We also show how pulse rate variability (PRV) data could improve the performance of the classification. The network was trained and evaluated on our own database of 108 h collected at the Neonatal Intensive Care Unit, Dept. of Neonatology of Pediatrics, Semmelweis University, Budapest, Hungary.…”
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The fusion of machine olfactory data and UV–Vis-NIR-MIR spectra enabled accurate prediction of key soil nutrients by Shuyan Liu, Lili Fu, Xiaomeng Xia, Jiamu Wang, Yvhang Cao, Xinming Jiang, Honglei Jia, Zengming Feng, Dongyan Huang

“…The findings demonstrated that introducing a self-attention procedure into the series splicing fusion strategy significantly improved the predictive performance. This highlights the synergistic benefits of integrating information from olfactory and spectral data sources. …”
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FTIR-Based Microplastic Classification: A Comprehensive Study on Normalization and ML Techniques by Octavio Villegas-Camacho, Iván Francisco-Valencia, Roberto Alejo-Eleuterio, Everardo Efrén Granda-Gutiérrez, Sonia Martínez-Gallegos, Daniel Villanueva-Vásquez

“…The results showed that Z-score normalization significantly improved stability and generalization across most models, with CNN, MLP, and RF achieving near-perfect values in accuracy, precision, recall, and F1-score. …”
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Deep Learning and Automatic Detection of Pleomorphic Esophageal Lesions—A Necessary Step for Minimally Invasive Panendoscopy by Miguel Martins, Miguel Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo

“…Background: Capsule endoscopy (CE) improved the digestive tract assessment; yet, its reading burden is substantial. …”
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Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation by Emi Kalita, Abdullah Mana Alfarwan, Houssam El Aouifi, Houssam El Aouifi, Ashima Kukkar, Sadiq Hussain, Tazid Ali, Silvia Gaftandzhieva

“…Hence, the proposed model provides a way to prevent student dropouts and improve academic achievements.…”
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Artificial intelligence and machine learning in modern cardiology: Advancements in diagnosis, treatment and patient monitoring by Szymon Kopciał, Dawid Piecuch, Edyta Hańczyk, Karolina Kornatowska, Natalia Pawelec, Weronika Mazur

“…Their integration into clinical practice promises to improve prognostic accuracy, reduce healthcare costs, and enhance patient-centered care. …”
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Dark Side of the Web: Dark Web Classification Based on TextCNN and Topic Modeling Weight by Gun-Yoon Shin, Younghoan Jang, Dong-Wook Kim, Sungjin Park, A-Ran Park, Younghwan Kim, Myung-Mook Han

“…These methods enabled the creation of word vectors with a constrained feature set, enhancing the distinction of Dark Web classes. To further improve classification performance, we integrated TextCNN with topic modeling weights. …”
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Резолюция Экспертного совета «Диагностика и лечение больных со сладжем в желчном пузыре» by V. T. Ivashkin, Alexey V. Okhlobystin, Dmitry S. Bordin, M. F. Osipenko, E. Ya. Seleznyova, Yu. O. Shulpekova, S. R. Abdulkhakov, O. P. Alexseyeva, I. G. Bakulin, L. G. Vologjhanina, V. B. Grinevich, N. V. Bakulina, T. A. Kolesova, N. V. Korochanskaya, I. V. Putintseva, A. S. Sarsenbayeva, N. S. Yazenok

“…Advisory council activity provided the algorithm of diagnosis and treatment of biliary sludge. …”
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First In-Orbit Validation of Interferometric GNSS-R Altimetry: Mission Overview and Initial Results by Yixuan Sun, Yueqiang Sun, Junming Xia, Lingyong Huang, Qifei Du, Weihua Bai, Xianyi Wang, Dongwei Wang, Yuerong Cai, Lichang Duan, Zhenhe Zhai, Bin Guan, Zhiyong Huang, Shizhong Li, Feixiong Huang, Cong Yin, Rui Liu

“…This represents a breakthrough improvement over previous GNSS-R altimetry efforts. …”
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Numercial modeling for enhanced heat transfer efficiency of spiral coils with supercritical fluid flow under different operating conditions by Xinling Wang, Naeim Farouk, Xiaoqing Fu, Pradeep Kumar Singh, Guo Xu, Fahad M. Alhomayani, Baseem Khan, Fawaz S. Alharbi, Barno Sayfutdinovna Abdullaeva, Laith H. Alzubaidi, Yasser Elmasry, Hakim A.L. Garalleh

“…The augmentation of mass flux results in an increase in heat transfer coefficient, thereby indicating an improvement in system efficiency. An augmentation in hydraulic diameter yields diminished heat transfer coefficients, mitigated pressure loss, and heightened exergy destruction.…”
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Hybrid transformer-CNN network-driven optical-scanning undersampling for photoacoustic remote sensing microscopy by Yihan Pi, Jijing Chen, Kaixuan Ding, Tongyan Zhang, Hao Zhang, Bingxue Zhang, Junhao Guo, Zhen Tian, Jiao Li

“…Our method achieves a fourfold improvement in PARS imaging speed without hardware upgrades, offering an available solution for enhancing imaging speed in other optical-scanning microscopic systems.…”
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A semantic segmentation-based automatic pterygium assessment and grading system by Qingbo Ji, Qingbo Ji, Wanyang Liu, Wanyang Liu, Qingfeng Ma, Qingfeng Ma, Lijun Qu, Lin Zhang, Hui He

“…This study aims to develop an automated grading system combining deep learning and image processing techniques for precise pterygium evaluation.MethodsThe proposed system integrates two modules: 1) A semantic segmentation module utilizing an improved TransUnet architecture for pixel-level pterygium localization, trained on annotated slit-lamp microscope images from clinical datasets. 2) A severity assessment module employing enhanced curve fitting algorithms to quantify pterygium invasion depth in critical ocular regions. …”
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Simultaneous and Proportional Myoelectric Control of Multiple Degrees of Freedom in Individuals With Chronic Hemiparesis by Caleb J. Thomson, W. Caden Hamrick, Jakob W. Travis, Michael D. Adkins, Patrick P. Maitre, Steven R. Edgely, Jacob A. George

“…In the adjacent field of myoelectric prostheses, regression algorithms have enabled simultaneous and proportional position control over multiple degrees of freedom (DOFs), which in turn has improved user dexterity. …”
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Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets by Catarina Lopes, Andreia Brandão, Manuel R. Teixeira, Mário Dinis-Ribeiro, Carina Pereira

“…Further research is warranted to optimize saliva-derived molecular signatures, increasing their sensitivity and specificity for early cancer detection and advance the use of liquid biopsies in personalized medicine for improved screening, diagnostic and prognostic capabilities.…”
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SDN-Based VANET Routing: A Comprehensive Survey on Architectures, Protocols, Analysis, and Future Challenges by Nehad Hameed Hussein, Johnny Siaw Paw Koh, Chong Tak Yaw, Sieh Kiong Tiong, Foo Benedict, Talal Yusaf, Kumaran Kadirgama, Tan Chung Hong

“…Recently, VANET routing protocols have been improved using multilevel knowledge and an up-to-date global view of traffic conditions offered by SDN technology. …”
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