Probabilistic Principal Component Analysis and Channel Attention for End-to-End Image Compression Optimization by Andri Agustav Wirabudi, Sung-Chang Lim, Woong Lim, Jeongil Seo, Haechul Choi

“…In recent years, deep learning has shown significant progress for image compression compared to traditional image compression methods. Although conventional standard-based methods are still used, they are limited in handling repetitive patterns and complex calculations, which can lead to image reconstruction issues. …”
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Compressive and shear strength of coarse silt stabilized with Terramix F22.5 binder by Katarzyna Kamińska

“…The samples were formed at optimum moisture content up to obtain the compaction index close to or equal to Is = 1.00. Results and conclusions: On the basis of the conducted tests, it was found that the binder content used as well as the length and method of sample curing influence the improvement of geotechnical parameters. …”
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Contrastive Speaker Representation Learning with Hard Negative Sampling for Speaker Recognition by Changhwan Go, Young Han Lee, Taewoo Kim, Nam In Park, Chanjun Chun

“…To demonstrate the effectiveness of our proposed method, we compared the performance of a deep learning model trained with a conventional loss function utilized in speaker recognition with that of a deep learning model trained using our proposed method, as measured by the equal error rate (EER), an objective performance metric. …”
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Novel Drop‐Sampler for Simultaneous Collection of Stereo‐Video, Environmental DNA and Oceanographic Data by Samuel Thompson, Simon Jarman, Kingsley Griffin, Claude Spencer, Gabrielle Cummins, Julian Partridge, Tim Langlois

“…ABSTRACT There is an increasing interest in environmental DNA (eDNA) as a method to survey marine biota, enhancing traditional survey methods, and a need to ground truth eDNA‐based interpretations with visual surveys to understand biases in both the eDNA and visual datasets. …”
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Nuances of an In-Between Space of Learning Through Auditory Approaches in Early Piano Instruction by Samuel E. Pang, Rebecca Y. P. Kan

“…Musical experiences in early piano instruction tend to be led by visual-based methods, limiting opportunities to develop aural abilities for children to understand music. …”
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Explaining the effective factors in sustainable urban development management, with emphasis on flourishing cities around metropolises (Case study: Lavasan city) by Hossein Sedaghat Nouri, Mohammad reza pourjahfar, Nader Zali

“…The research method was based on quantitative and qualitative methods. …”
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Effectiveness of mobile and e-mail-based reporting on consistency in private health facilities for the disease surveillance system, Poonamallee Health District, Tamil Nadu, India:... by Abishek Stanislaus, Prabhakaran Jesudoss, Sendhilkumar Muthappan, Ponnaiah Manickam

“…Conclusion: Both e-mail and mobile interventions have equally improved the consistency of reporting. The mobile-based reporting method was found to be more consistent and complete and maintain timeliness compared to the e-mail-based reporting method.…”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…Finally, the feature selection via the tail dependence method performs comparably to other forms of machine learning-based feature selection and we find that there are multiple parameter sets that can predict MDA8 O3 with equal success.…”
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Accuracy of individual mandibular motion records using intraoral scanner for fixed implant- supported prosthesis designs: a comparative study by Bundhit Jirajariyavej, Panchanit Ounvorawong, Suchaya Pornprasertsuk-Damrongsri, Porntida Visuttiwattanakorn, Salisa Sriyarun, Pobploy Petchmedyai

“…Results The root mean square (RMS), and percentage of In-Tolerance and Out-of-Tolerance of divided occlusal surface areas were analyzed and visualized using a color-coded deviation map. Statistically significant differences were observed between static and dynamic methods (p < 0.05), though no significant differences between the two dynamic methods. …”
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A macroscopic traffic flow modelling and collision avoidance using B-spline and Physics-Informed Neural Network approaches by Mourad Haddioui, Youssef Qaraai, Saleh Bouarafa, Said Agoujil, Abderrahman Bouhamidi

“…The macroscopic model, such as the Lighthill-Whitham-Richards (LWR), has been extensively studied and applied to various homogeneous traffic problems. However, numerical methods have been widely used with good performance. …”
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Segmentation of intrinsically very low contrast magnetic resonance brain images using tensor-based DTI registration by M.L. Al-Saady, N.I. Wolf, P.J.W. Pouwels

“…We aimed to develop and assess a tensor-guided atlas-based segmentation method suitable for segmentation of very low contrast images. …”
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Application of heteroduplex analysis for CALR mutation screening detection in patients with Ph-myeloproliferative neoplasms by T. N. Subbotina, D. V. Kurochkin, I. E. Maslyukova, A. S. Khazieva, E. V. Vasiliev, M. A. Mikhalev, E. A. Dunaeva, K. O. Mironov

“…The proposed variant of the heteroduplex analysis with separation of the PCR product by electrophoresis on non-denaturing PAGE can be recommended for use as the preliminary screening test which is carried out before the confirming sequencing methods for the different indels (or combinations thereof) CALR mutations determine.The presence of heteroduplexes indicates the presence of a mutation, even if the mutant product is not visualized (in case of small mutations).…”
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An effective Key Frame Extraction technique based on Feature Fusion and Fuzzy-C means clustering with Artificial Hummingbird by Sumandeep Kaur, Lakhwinder Kaur, Madan Lal

“…This study proposes a key frame extraction method from a video that (i) first removes insignificant frames by pre-processing, (ii) second, four visual and structural feature differences among the consecutive frames are extracted and aggregated to identify informative frames, (iii) third, to cluster the obtained frames, a hybrid FCM-AHA method is proposed by combining Fuzzy C-means(FCM) with artificial hummingbird optimization algorithm (AHA) to circumvent the local minima trapping problem of FCM, and finally, from each cluster, the two frames having greatest Euclidean distance from all the other frames within a cluster is selected as key frames to remove redundant frames. …”
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A reversible and robust hybrid image steganography framework using radon transform and integer lifting wavelet transform by B. M. El-den, Walid Raslan

“…Compared to existing techniques, the proposed framework demonstrates significant improvements in embedding capacity, robustness, and visual fidelity. This method holds great promise for secure data hiding in applications such as secure communication, medical imaging, and digital watermarking, where data integrity and confidentiality are critical.…”
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VBI-Accelerated FPGA Implementation of Autonomous Image Dehazing: Leveraging the Vertical Blanking Interval for Haze-Aware Local Image Blending by Dat Ngo, Jeonghyeon Son, Bongsoon Kang

“…Existing dehazing algorithms often prioritize visual quality and color restoration but rely on computationally intensive methods, making them unsuitable for real-time processing. …”
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Development of Algorithm of Surgical Treatment Choice in Patients with Cataract and Asteroid Hyalosis by S. A. Korotkikh, A. G. Grinev, M. B. Sviridova, A. M. Danilov

“…All operations were performed with the help of ophthalmic systems Infinity Vision System (Alcon, USA) and Constellation Vision System (Alcon, USA).Results: in the first day after the operation, all patients noted improvement in visual acuity and quality of life, but more significant improvement was noted in patients of the first and second groups.Conclusion: analysis of the results of surgical treatment, questionnaire survey, preoperative diagnosis allowed to develop an algorithm for choosing the method of surgical treatment in patients with cataract and asteroid hyalosis, taking into account the state of PHM.…”
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Analyzing the Economic Performance of a TLS-Based Structural Safety Diagnosis Process by Taewan Kim, Kyungsoo Wee, Namhyuk Ham, Jae-jun Kim

“…The analysis of three real-world projects revealed that the TLS-based 3D scanning reverse modeling method reduces total project costs—including survey duration, labor input, as well as service and waiting costs—by about 80–89% compared to the visual inspection method. …”
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Differential diagnosis of prosopalgia of dental patients by R. A. Mikhailik, T. A. Lopushanskaya, A. V. Tsimbalistov, N. A. Ogrina

“…Clinical methods of examination, palpation, assessment of the intensity pain manifestations using a visual analog scale of pain, clinical index Helkimo. …”
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Panchromatic and Hyperspectral Image Fusion Using Ratio Residual Attention Networks by Fengxiang Xu, Nan Zhang, Zhenxiang Chen, Peiran Peng, Tingfa Xu

“…Experimental results demonstrate that, when evaluated on the EO-1 and Chikusei datasets, the proposed method outperforms other methods in terms of both visual quality and quantitative metrics, particularly in spatial detail clarity and spectral fidelity. …”
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MCRNet: Underwater image enhancement using multi-color space residual network by Ningwei Qin, Junjun Wu, Xilin Liu, Zeqin Lin, Zhifeng Wang

“…Consequently, our method outperforms state-of-the-art methods in both subjective visual comparison and objective evaluation metrics.…”
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