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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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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An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

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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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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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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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Automatic Identification of the Main Ionospheric Trough in Total Electron Content Images by Gregory Starr, Sebastijan Mrak, Yukitoshi Nishimura, Michael Hirsch, Prakash Ishwar, Joshua Semeter

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FARVNet: A Fast and Accurate Range-View-Based Method for Semantic Segmentation of Point Clouds by Chuang Chen, Lulu Zhao, Wenwu Guo, Xia Yuan, Shihan Tan, Jing Hu, Zhenyuan Yang, Shengjie Wang, Wenyi Ge

“…Light Detection and Ranging (LiDAR) provides critical 3D point cloud data for environmental perception systems, yet efficiently processing unstructured point clouds while extracting semantically meaningful information remains a persistent challenge. …”
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Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

“…The captured images were processed in a Scikit-image environment to obtain a reduced number of features or qubits for later training of quantum circuits. …”
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TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks by Adir Krayden, M. Avraham, H. Ashkar, T. Blank, S. Stolyarova, Yael Nemirovsky

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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…Additionally, to ensure the scalability of the solution, it employs an active learning concept that retains optimally sufficient frames for further computation and thus reduces computational costs decisively. …”
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ASKSQL: Enabling cost-effective natural language to SQL conversion for enhanced analytics and search by Arpit Bajgoti, Rishik Gupta, Rinky Dwivedi

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Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms by Niranjan Raghunathan, Zongjie Wang, Mikhail A. Bragin, Peter B. Luh, Bing Yan, Tianqiao Zhao, Meng Yue

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A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images by Sudhakar Sengan, Praveen Gugulothu, Roobaea Alroobaea, Julian L. Webber, Abolfazl Mehbodniya, Amr Yousef

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Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm by Yunhe Shi, Xiaofei Zhang, Shengxinlai Han

“…These results validate the effectiveness of the proposed framework in advancing sparse array design and signal processing for 2D-DOA estimation.…”
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Simulation of ions interaction with biological environment using Geant4 by S. O. Liulchenko, M. О. Zhovner, O. M. Kalinkevich

“…Computer model that makes it possible to study the interaction of ion beam with biological objects has been created. …”
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OVERVIEW OF METHODS FOR IMPROVING THE VISUAL QUALITY OF IMAGES AND VIDEOS IN ADVERSE WEATHER CONDITIONS by P. A. Lyakhov, A. S. Ionisyan, V. V. Liutova, A. R. Orazaev

“…Each method was studied in detail, their advantages and disadvantages were considered, which made it possible to come to the following conclusions: 1) methods that use physical models are very efficient, but are computationally complex, in this regard, this method is more appropriate to use for image and video post-processing. 2) Methods based on histograms are simpler, but they are only suitable for static weather conditions (fog, haze, haze). 3) The most promising are methods based on learning. …”
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EmoSDS: Unified Emotionally Adaptive Spoken Dialogue System Using Self-Supervised Speech Representations by Jaehwan Lee, Youngjun Sim, Jinyou Kim, Young-Joo Suh

“…In recent years, advancements in artificial intelligence, speech, and natural language processing technology have enhanced spoken dialogue systems (SDSs), enabling natural, voice-based human–computer interaction. …”
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ET-GNN: Ensemble Transformer-Based Graph Neural Networks for Holistic Automated Essay Scoring by Hind Aljuaid, Areej Alhothali, Ohoud Alzamzami, Hussein Assalahi, Tahani Aldosemani

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Refining Parkinson’s syndrome symptom forecasting using incorporated ocular imaging and the SymptoSense model by V. Jayasudha, N. Deepa, Devi Thiyagarajan

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