A Survey on Privacy-Preserving Machine Learning Inference by Stanisław Barański

“… This paper examines methods to secure machine learning inference (ML inference) so that sensitive data remains private and proprietary models are protected during remote processing. We review several approaches—from cryptographic techniques like homomorphic encryption (HE) and secure multi-party computation (MPC), to hardware solutions such as trusted execution environments (TEEs), and complementary methods including differential privacy and split learning. …”
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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…Abstract Medical imaging sciences and diagnostic techniques for Breast Cancer (BC) imaging have advanced tremendously, particularly with the use of mammography images; however, radiologists may still misinterpret medical images of the breast, resulting in limitations and flaws in the screening process. As a result, Computer-Aided Design (CAD) systems have become increasingly popular due to their ability to operate independently of human analysis. …”
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RADIOLOGY IN THE RUSSIAN FEDERATION IN 2016 by I. E. Tyurin

“…Increases number of instruments for medical imaging, a growing amount of research being conducted, with the most pronounced of these trends in ultrasound diagnostics, X-ray computed tomography and magnetic resonance imaging. …”
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Digital Competences in Classical Music Teaching: From a Critical View to the Systematization of Digital Resources by Sanela Nikolić, Biljana Leković

“…The number and variety of online classical music digital resources require specific knowledge to independently search for, select and incorporate appropriate content into the teaching process, as these represent alternative teaching tools that go beyond the primary didactic materials. …”
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Physics-Informed Neural Networks for the Structural Analysis and Monitoring of Railway Bridges: A Systematic Review by Yuniel Martinez, Luis Rojas, Alvaro Peña, Matías Valenzuela, Jose Garcia

“…Through natural language processing (NLP) and trend mapping, this review evidences a growing but fragmented research landscape. …”
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Quantum Privacy Comparison with <i>R_y</i> Rotation Operation by Min Hou, Yue Wu

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NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays by Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider

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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

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Integrating BIM Forward Design with CFD Numerical Simulation for Wind Turbine Blade Analysis by Shaonan Sun, Mengna Li, Yifan Shi, Chunlu Liu, Ailing Wang

“…Traditional analysis often isolates Computational Fluid Dynamics (CFD) from Building Information Modeling (BIM) in the design process. …”
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Secure and load balanced routing model for wireless sensor networks by Gousia Thahniyath, M. Jayaprasad

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Percutaneous Puncture Cryoablation in Patients with Rib Metastatic Lesions by I. A. Burovik, G. G. Prokhorov, S. S. Bagnenko, A. V. Vasilev

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Investigating feature extraction by SIFT methods for prostate cancer early detection by Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif

“…The robust SIFT relates to tasks of object recognition within computer vision, in the recognition of prostatic regions where grey-level distributions differ remarkably between benign and malignant tissues. …”
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The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction by Farjana Tasnim Mukta, Md Masud Rana, Avery Meyer, Sally Ellingson, Duc D. Nguyen

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Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

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SqueezeSlimU-Net: An Adaptive and Efficient Segmentation Architecture for Real-Time UAV Weed Detection by Alina L. Machidon, Andraz Krasovec, Veljko Pejovic, Octavian M. Machidon

“…The limited processing capacity of computing equipment that is usually mounted on unmanned aerial vehicles (UAVs) often prevents real-time execution of computer vision tasks, such as image segmentation. …”
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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections by Yuling Huang, Mingming Luo, Zan Luo, Mingzhi Liu, Junyu Li, Junming Jian, Yun Zhang

“…Deep learning (DL) enables the automation of this process; however, current studies focus mainly on multiple phases of four-dimensional (4D) computed tomography (CT), which leads to indirect results. …”
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Using musical pitch interval comparisons to assess cochlear implant frequency-to-place maps by Rebecca M. Lewis, Melanie L. Gilbert, Jordan A. Beim, Andrew J. Oxenham, Charles J. Limb

“…This test was initially evaluated with pure tones in normal-hearing listeners, using both unprocessed and vocoder-processed sounds to simulate both matched and mismatched frequency-to-place maps. …”
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Pulmonary and functional hallmarks after SARS-CoV-2 infection across three WHO severity level-groups: an observational study by Patrícia Blau Margosian Conti, Maria Ângela Gonçalves Oliveira Ribeiro, Carla Cristina Souza Gomez, Aline Priscila Souza, Daniela Souza Paiva Borgli, Eulália Sakano, Mauro Alexandre Pascoa, Silvana Dalge Severino, Tayná Castilho, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, José Dirceu Ribeiro, UNICOVID Study Group, Adyléia Aparecida Dalbo Contrera Toro, Aline Cristina Gonçalves, Andrea de Melo Alexandre Fraga, André Moreno Morcillo, Andressa Oliveira Peixoto, Andrei Carvalho Sposito, Bianca Aparecida Siqueira, Emília Silva Gonçalves, Emília Raposo Nascimento, Gil Guerra Junior, Jenniffer Tayna Orzechowski Furtado, Lucas Rodrigues de Moraes, Maria de Fatima Corrêa Pimenta Servidoni, Mariana Zorron, Marcos Tadeu Nolasco da Silva, Maíra Seabra Assumpção, Milena Baptistela Grotta, Renan Marrichi Mauch, Simone Appenzeller, Thiago Luís Infanger Serrano

“…The consequences of this inflammatory process impact overall function, which can be detected through both short- to long-term assessments. …”
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Brain tumor segmentation using deep learning: high performance with minimized MRI data by Jacky Huang, Banu Yagmurlu, Powell Molleti, Richard Lee, Abigail VanderPloeg, Humaira Noor, Rohan Bareja, Yiheng Li, Michael Iv, Haruka Itakura

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Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions by Somaiya Al Shuraiqi, Abdulrahman Aal Abdulsalam, Ken Masters, Hamza Zidoum, Adhari AlZaabi

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