CNN-Based Framework for Classifying COVID-19, Pneumonia, and Normal Chest X-Rays by Cristian Randieri, Andrea Perrotta, Adriano Puglisi, Maria Grazia Bocci, Christian Napoli

“…This paper describes the development of a CNN model for the analysis of chest X-rays and the automated diagnosis of pneumonia, bacterial or viral, and lung pathologies resulting from COVID-19, offering new insights for further research through the development of an AI-based diagnostic tool, which can be automatically implemented and made available for rapid differentiation between normal pneumonia and COVID-19 starting from X-ray images. …”
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Typological Transcoding Through LoRA and Diffusion Models: A Methodological Framework for Stylistic Emulation of Eclectic Facades in Krakow by Zequn Chen, Nan Zhang, Chaoran Xu, Zhiyu Xu, Songjiang Han, Lishan Jiang

“…The resulting typologically guided LoRA-tuned model demonstrates significant performance improvements over baseline models. Quantitative analysis shows a 24.6% improvement in Fréchet Inception Distance (FID) and a 7.0% improvement in Learned Perceptual Image Patch Similarity (LPIPS). …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…By using finer spectral lines, higher sampling rate, and more precise laser pulse control, high resolution LIBS analysis at nanoscale has been achieved. The combination of LIBS technology with multi-spectral image processing technology can integrate information from multiple spectral channels to achieve a more comprehensive analysis of samples. …”
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A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision by Zhihan Cheng, Yue Wu, Yule Li, Lingfeng Cai, Baha Ihnaini

“…Explainable Artificial Intelligence (XAI) is increasingly important in computer vision, aiming to connect complex model outputs with human understanding. This review provides a focused comparative analysis of representative XAI methods in four main categories, attribution-based, activation-based, perturbation-based, and transformer-based approaches, selected from a broader literature landscape. …”
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Micro-Mechanism of Strength for Cement-Treated Soil Based on the SEM Experiment: Qualitative and Quantitative Analysis by Liyang Xu, Riqing Xu, Qingfeng Lin, Guohui Feng, Chang Yuan, Zhi Ding

“…The strength of cement-treated soil (CTS) is influenced by a range of complex factors. Investigating the microstructure of cement-treated soil provides a fundamental understanding of its strength evolution. …”
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Comprehensive prognosis assessment of cardiovascular magnetic resonance parametric mapping in light chain amyloidosis by Xiao Li, Yubo Guo, Kaini Shen, Sisi Huang, Yajuan Gao, Lu Lin, Jian Wang, Jian Cao, Xinxin Cao, Zhengyu Jin, Zhuoli Zhang, Akos Varga-Szemes, U. Joseph Schoepf, Jian Li, Yining Wang

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Analysis of true triaxial mechanical behavior and energy dissipation of backfill under different unloading rates by Xiaofei LI, Jiajian LI, Yunpeng KOU, Weidong SONG

“…CT scanning was performed to obtain the three-dimensional distribution and morphology of internal cracks within the backfill, followed by quantitative crack analysis using image analysis software. Key experimental parameters include axial stress and strain, elastic and dissipative energy, three-dimensional crack reconstruction, and crack distribution curves along the σ1, σ2, and σ3 directions. …”
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Soil Organic Matter Content Prediction Using Multi-Input Convolutional Neural Network Based on Multi-Source Information Fusion by Li Guo, Qin Gao, Mengyi Zhang, Panting Cheng, Peng He, Lujun Li, Dong Ding, Changcheng Liu, Francis Collins Muga, Masroor Kamal, Jiangtao Qi

“…Traditional SOM detection methods are complex and time-consuming and do not meet the modern agricultural demand for rapid, non-destructive analysis. …”
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Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning by Madiha Rehman, Humaira Anwer, Helena Garay, Josep Alemany-Iturriaga, Isabel De la Torre Díez, Hafeez ur Rehman Siddiqui, Saleem Ullah

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Towards precision diagnosis: a novel hybrid DC-CAD model for lung disease detection leveraging multi-scale capsule networks and temporal dynamics by Esther Stacy E. B. Aggrey, Qin Zhen, Seth Larweh Kodjiku, Linda Delali Fiasam, Collins Sey, Chiagoziem C. Ukwuoma, Evans Aidoo, Emmanuel Osei-Mensah

“…However, traditional diagnostic approaches and standard deep learning models often face challenges in effectively analyzing the complex spatial and temporal variations in medical imaging data, particularly in CT scans. …”
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Research status and trends of drug-coated balloons in coronary artery disease: a bibliometric analysis by Yue Yu, Yuemiao Jiao, Lüya Wang, Ming Zhang, Chengqian Yin

“…Inclusion criteria were English-language papers, while case reports, conference proceedings, news articles, and duplicate publications were excluded. The analysis focused on publication trends, country/institutional contributions, author collaboration networks, journal analysis, co-citation literature, and keyword evolution.ResultsThree distinct developmental phases of DCB research were identified: (1) device optimization (2004–2010), (2) clinical validation (2010–2017), and (3) application to complex lesions (2018–present). …”
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Anatomical analysis of the resected roots of mandibular first molars after failed non-surgical retreatment by Jiyoung Yoon, Byeong-Hoon Cho, Jihyun Bae, Yonghoon Choi

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Style Transfer and Topological Feature Analysis of Text-Based CAPTCHA via Generative Adversarial Networks by Tao Xue, Zixuan Guo, Zehang Yin, Yu Rong

“…Topological feature analysis indicates that style transfer results in a more compact topological structure, further validating the effectiveness of the GAN-based twice-transfer method in enhancing CAPTCHA complexity and anti-recognition capability.…”
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Comprehensive analysis of life quality of patients with vitiligo in Romania: insights from a multivariate approach by László Fekete, László Fekete, Vladimir Bacârea, Gyula László Fekete, Júlia Edit Fekete, Béla Kovács

“…Besides classical statistical evaluation, dimensionality reduction analysis techniques, such as principal component analysis and multiple correspondence analysis were employed to investigate in complexity the impact of various factors on the quality of life and self-esteem of patients with vitiligo.ResultsOur findings suggest that age, marital status and disease duration were amongst the most important factors that affects the psychosocial well-being of patients with vitiligo. …”
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Federated Learning for Multimodal Sentiment Analysis: Advancing Global Models With an Enhanced LinkNet Architecture by P. Vasanthi, V. Madhu Viswanatham

“…Analyzing sentiments using single-modal approaches, such as text or image analysis alone, frequently encounters significant limitations. …”
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Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures by Edwin Salcedo

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In toto analysis of embryonic organisation reduces tissue diversity to two archetypes requiring specific cadherins by Max Brambach, Jana Wittmann, Marvin Albert, Jérôme Julmi, Robert Bill, Darren Gilmour

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Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks by Sakthi Jaya Sundar Rajasekar, Anu Rithiga Balaraman, Deepa Varnika Balaraman, Saleem Mohamed Ali, Kannan Narasimhan, Narayanasamy Krishnasamy, Varalakshmi Perumal

“…This attribute is due to the model’s ability to learn complex features from spectral images. Conclusions This study concludes that Capsule Networks are more effective than typical CNN-based models in diagnosing TB from cough audio. …”
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When Teratology and Augmented Reality Entwine: A Qualitative Phenomenological Analysis in a Museal Setting by Lucas L. Boer, Frédérique Schol, Colin Christiaans, Jacobus Duits, Thomas Maal, Dylan Henssen

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Analysis of the therapeutic benefits of symptomatic slow acting drugs in osteoarthritis: emphasis on structural-modifying action by I. B. Belyaeva, V. I. Mazurov, E. A. Trofimov

“…The review presents an analysis of the therapeutic effect in osteoarthritis (OA) of the original complex injectable drug Alflutop (bioactive concentrate of small marine fish), which is one of the most widely used symptomatic slow acting drugs (SYSADOA) in Russia. …”
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