Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification by Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras

“…We extend conventional evaluation tools with novel metrics—“accuracy difference” and “loss difference”—to detect overfitting or underfitting and evaluate their utility as potential indicators for learning behavior and promoting the self-confidence of ImageNet models. …”
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Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography by Arpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, Florian Kordon, Siming Bayer, Stephan Achenbach, Andreas Maier

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Enhancing seizure detection with hybrid XGBoost and recurrent neural networks by Santushti Santosh Betgeri, Madhu Shukla, Dinesh Kumar, Surbhi B. Khan, Muhammad Attique Khan, Nora A. Alkhaldi

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Adaptive Fuzzy C-Means with logit boost distributed clustering for cancer detection with protein sequences by K. Thenmozhi, M. Pyingkodi, V. S. Prakash, Kripa Josten, S. Manju Priya, J. Vennila

“…For any protein sequences that are not assigned to a group, the Bayesian probability is computed to find the higher chance of the protein sequence becoming a member of a specific cluster. …”
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Multimodal lightweight neural network for Alzheimer's disease diagnosis integrating neuroimaging and cognitive scores by Bhoomi Gupta, Ganesh Kanna Jegannathan, Mohammad Shabbir Alam, Kottala Sri Yogi, Janjhyam Venkata Naga Ramesh, Vemula Jasmine Sowmya, Isa Bayhan

“…A multilayer perceptron (MLP) classifier is incorporated to capture complex feature interactions and improve diagnostic precision. Evaluation on the ADNI dataset demonstrates that Light-Mo-DAD achieves 98.0% accuracy, 98.5% sensitivity, and 97.5% specificity, highlighting its robustness in early AD detection. …”
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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

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Validation of CBCT panoramic reformatting compared to conventional panoramic radiography for age determination using the Demirjian method by Rosana Mara Adami Tucunduva, Cássia Maria Fischer Rubira, Heitor Marques Honório, Camila Lopes Cardoso, Izabel Regina Fischer Rubira-Bullen

“…The aim of this study was to evaluate images of conventional digital panoramic radiographs (CP) and panoramic reformats (PR) obtained from cone beam computed tomography (CBCT) in order to confirm the similarity of the methods. …”
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SpectralEarth: Training Hyperspectral Foundation Models at Scale by Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu

“…Foundation models have triggered a paradigm shift in computer vision and are increasingly being adopted in remote sensing, particularly for multispectral imagery. …”
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A Robust System for Super-Resolution Imaging in Remote Sensing via Attention-Based Residual Learning by Rogelio Reyes-Reyes, Yeredith G. Mora-Martinez, Beatriz P. Garcia-Salgado, Volodymyr Ponomaryov, Jose A. Almaraz-Damian, Clara Cruz-Ramos, Sergiy Sadovnychiy

“…These components can restore large-scale spatial relationships and refine textures and contours, improving feature reconstruction without significantly increasing computational complexity. The performance of OARN was evaluated using satellite images from WorldView-2, GaoFen-2, and Microsoft Virtual Earth. …”
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Equipment quality control during patient radiation protection optimisation in radionuclide diagnostics by A. V. Petryakova, L. A. Chipiga, A. V. Vodovatov, M. Ya. Smolyarchuk

“…The analysis of the national and the foreign documents standardized and recommended the gamma-camera and single photon emission computed tomography quality control and calibration procedures was performed in the study. …”
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Scalable and Fast Electrical Modeling Method for Bonding-Wire Memory Packages by Dongryul Park, Seonghi Lee, Seunghun Ryu, Hyunwoo Kim, Duksoo Kim, Hyunsik Kim, Jongwook Kim, Seungyoung Ahn

“…However, using traditional 3D electromagnetic (EM) simulations to accommodate these changes results in long computation times and high design cost. To address this limitation, a method is needed that allows rapid evaluation of the entire memory package’s performance, regardless of design parameter changes. …”
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Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans by David Bark, Julia Basu, Dimitrios Toumpanakis, Johan Burwick Nyberg, Tomas Bjerner, Elham Rostami, David Fällmar

“…The software detects intracranial hemorrhage (ICH) from head computed tomography (CT) scans and artificial intelligence (AI)-identified positive cases are then annotated in the work list for early radiologist evaluation. …”
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Investigations into Picture Defogging Techniques Based on Dark Channel Prior and Retinex Theory by Lihong Yang, Zhi Zeng, Hang Ge, Yao Li, Shurui Ge, Kai Hu

“…The method provides a robust image defogging solution for computer vision systems under complex meteorological conditions.…”
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Synthesis and structural insights of bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato) nickel (II) complex through DFT and docking investigations by K. Jayachandiran, Sv. Esha, M. Savitha Lakshmi, S. Mahalakshmi, S. Arockiasamy

“…The optimized molecular structure, energy gap between HOMO and LUMO, and intermolecular interactions were studied by computational methods. The microbial activity evaluation showed significant anti-bacterial activity against E. coli and S. aureus when the concentration exceeded 40 µg/mL, and a prominent anti-fungal activity over C. albicans and C. tropicalis above 30 µg/mL. …”
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Rare forms of non-Hodgkin lymphomas: experience in treatment for primary bone lymphomas by I. B. Lysenko, A. A. Barashev, T. O. Lapteva, N. V. Nikolaeva, E. A. Kapuza, O. N. Shatokhina, T. F. Pushkareva

“…Diagnosis of lesions of the bone tissue in its primary and secondary involvement is based on the use of all available research methods (radiography; computed, magnetic resonance and positron emission tomography). …”
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Phosphaturic mesenchymal tumor of the skull base presenting with tumor-induced osteomalacia and multiple fractures: a case report by He Zhiqing, Wang Keshuang, Zhang Minghui, Qin Jiace, Qiu Qianhui

“…Accurate diagnosis requires a comprehensive assessment, encompassing systemic evaluation, laboratory tests, imaging studies, and microscopic examination. …”
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Optimal protection coordination for directional overcurrent relays in radial distribution networks with inverter-based distributed energy resources by Jie Li, Jingtong Feng, Min Huang, Shenquan Liu, Gang Wang

“…The Pareto-front of the proposed optimal protection coordination problem is obtained by the improved multi-objective particle swarm optimization, where a time–space section evaluation utilizes the K-means clustering method to improve the computational efficiency. …”
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CAML-PSPNet: A Medical Image Segmentation Network Based on Coordinate Attention and a Mixed Loss Function by Yuxia Li, Peng Li, Hailing Wang, Xiaomei Gong, Zhijun Fang

“…Finally, the lightweight MobilenetV2 is utilized in backbone feature extraction, which largely reduces the model’s parameter count and enhances computation speed. Three datasets—PrivateLT, Kvasir-SEG and ISIC 2017—are selected for the experimental part, and the experimental results demonstrate significant enhancements in both visual effects and evaluation metrics for the segmentation achieved by CAML-PSPNet. …”
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Three-Dimensional Dynamic Trajectory Planning for Autonomous Underwater Robots Under the PPO-IIFDS Framework by Liqiang Liu, Min Sun, Enjiao Zhao, Kuang Zhu

“…Three-dimensional (3D) dynamic trajectory planning for Autonomous Underwater Vehicles (AUVs) is associated with significant challenges such as balancing the trajectory quality, computational efficiency, and environmental adaptability within complex dynamic environments. …”
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Power Loss and Electrothermal Characterization of Hybrid Power Integrated Modules for Industrial Servo Motor Drives by Hsien-Chie Cheng, Yan-Cheng Liu, Wen-You Jhu, Po-Kai Chiu, Tao-Chih Chang, Kuo-Ning Chiang

“…The SETC model couples a simple lookup table that maps the power loss (P) in terms of the temperature (T) constructed using the developed EMCC model, and an equivalent Foster thermal network model established through three-dimensional (3D) computational fluid dynamics (CFD) thermal flow analysis. …”
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