Self‐Supervised Classification of Weather Systems Based on Spatiotemporal Contrastive Learning by Liwen Wang, Qian Li, Qi Lv

“…However, the existing classification methods are challenged due to a lack of labels and inaccurate similarity measures between data samples. …”
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Long-term survival of dental implants placed in the grafted maxillary sinus: systematic review and meta-analysis of treatment modalities. by Fabian Duttenhoefer, Cyriel Souren, Dieter Menne, Dominik Emmerich, Ralf Schön, Sebastian Sauerbier

“…However, the role of different factor combinations and associated reciprocal effects remain unclear. Conventional statistical methods do not consider inconsistency of study designs and do not take covariables into account. …”
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Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food by Sreevidya R. C., Jalaja G, Sajitha N, D. Lakshmi Padmaja, S. Nagaprasad, Kumud Pant, Yekula Prasanna Kumar

“…“Deep Learning” (DL) is an effective method to detect cancerous lesions. The study’s purpose is to comprehend the vital function performed by DL methods in supporting healthcare professionals in easier skin cancer detection using big data networks. …”
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Evaluation of Efficacy of Artificial Intelligence in Orthopantomogram in Detecting and Classifying Radiolucent Lesions by Sheetal Singar, Ajay Parihar, Prashanthi Reddy

“…The descriptive statistics was performed. The Cohen kappa correlation coefficient was used for assessment of reliability of the diagnostic methods. …”
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Deep learning algorithms for detecting fractured instruments in root canals by Ekin Deniz Çatmabacak, İrem Çetinkaya

“…Five DL models—DenseNet201, EfficientNet B0, ResNet-18, VGG-19, and MaxVit-T—were trained using transfer learning and data augmentation techniques. Performance was evaluated using accuracy, AUC and MCC. …”
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Effect of knee sleeves on joint angle variability during gait in older adults: a principal component analysis by Wakako Tsuchida, Wakako Tsuchida, Wakako Tsuchida, Takuma Inai, Takuma Inai, Takuma Inai, Shoma Kudo, Shoma Kudo, Shoma Kudo, Yoshiyuki Kobayashi, Yoshiyuki Kobayashi, Masahiro Fujimoto, Masahiro Fujimoto, Masahiro Fujimoto

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Exploring the evolution and future prospects of Amharic to English machine translation: a systematic review by Muluken Hussen Asebel, Shimelis Getu Assefa, Mesfin Abebe Haile

“…Pursuable avenues include augmentation of data, tokenization on the language level, and incorporation of linguistic elements into the parallel corpora. …”
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Quranic Stories and Creative Thinking in Quranic Students by Abdolrazagh Rahmani, Abdolah Foroozanfar, Shahla Jaafari

“…Consequently, the objective of the current research is to explore the correlation between Quranic narratives and the creative thinking skills of Quranic learners. Methods: This investigation is classified as a survey study, with the data being subjected to analysis via a single-sample t-test and the Friedman test. …”
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A Survey on Deep Learning for Few-Shot PolSAR Image Classification by Ningwei Wang, Weiqiang Jin, Haixia Bi, Chen Xu, Jinghuai Gao

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Impact of growth parameters on refraction and ocular biometry in Chinese preschool children (3–6 years): the Beijing children eye study by Chao Wang, Jing Yuan, Qing Xu, Aimin Jiang

“…BackgroundThis study aims to investigate the relationship between growth and ocular biometry/refraction in preschool children aged 3–6 years.MethodsThis study performed a retrospective evaluation utilizing anonymized data from a pre-existing cohort of children aged 3–6 years, who were recruited from 11 kindergartens in the Shunyi District of Beijing. …”
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The influence of carotid plaque on carotid artery stiffness indicators in hypertensive patients with and without accompanying type 2 diabetes by V. V. Syvolap, A. O. Bohun

“…Basic anthropometric data, laboratory indicators of lipid and carbohydrate metabolism, creatinine, data of daily blood pressure monitoring, echocardiography, intima-media thickness, local stiffness indicators: artery diameter, distensibility, the distensibility coefficient (DC), and compliance coefficient (CC), stiffness indices α, β, local pulse wave velocity (PWV), pressure and augmentation index (using radiofrequency-based technologies) were studied. …”
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RF-Based Sensing and AI Decision Support for Stroke Patient Monitoring: A Digital Twin Approach by Sagheer Khan, Usman Anwar, Aftab Khan, Tughrul Arslan

“…The implementation of Machine Learning (ML) and Deep Learning (DL) technologies for stroke classification provides the necessary decision support to healthcare professionals in DT stroke patient monitoring. The statistical and autonomous (AutoEncoders (AE) and Stacked AutoEncoders (SAE) with structure 32-16-32, 64-32-16-32-64, and 128-64-32-16-32-64-128) feature data is enlarged through Gaussian noise feature data augmentation. …”
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Detection of vehicles and analysis of traffic volume by real-time video-graphic technique using python algorithm by Osman Kantunsung Ramadan, R. Srinivasa Kumar, A. Narender Reddy

“…These statistics showed acceptable reliability levels. The detection data helped PTV Vissim conduct traffic simulations for existing and proposed traffic conditions. …”
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A Retrospective Study of Nonsurgical Management Options for Permanent Filler Complications of the Gluteal Region by Tom S. Decates, MD, PhD, Tamar Schoonen, MD, Armanda J. Onderdijk, MD, PhD, Martin van Leerdam, PhD, Peter J. Velthuis, MD, PhD

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Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study by Shaowei Guan, Vivian Hui, Gregor Stiglic, Rose Eva Constantino, Young Ji Lee, Arkers Kwan Ching Wong

“…In addition, we used LLM-based data augmentation techniques to overcome the limitations of a relatively small and imbalanced dataset. …”
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Maternal and perinatal outcome in obese pregnant women in labour ward by Zilan Abdullah Hassan, Avin Sadiq Jamil

“…Data were analyzed using the SPSS, version 25, to test statistical significance. …”
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Crude Oil and Hot-Rolled Coil Futures Price Prediction Based on Multi-Dimensional Fusion Feature Enhancement by Yongli Tang, Zhenlun Gao, Ya Li, Zhongqi Cai, Jinxia Yu, Panke Qin

“…A novel approach, the multi-dimensional fusion feature-enhanced (MDFFE) prediction method has been devised. Additionally, a data augmentation framework leveraging multi-dimensional feature engineering has been established. …”
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SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 by Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…The quality of processed images is validated using statistical methods, including MSE, PSNR, SSIM, and RMSE. …”
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

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Evolution and trends in the management of acromioclavicular joint dislocations: an epidemiological analysis from Germany between 2013 and 2023 by Philipp Herrmann, MD, Martin Luedemann, MD, Thilo Lehmeyer, MD, Sebastian Frischholz, MD, Maximilian Rudert, MD, Kilian List, MD, Ioannis Stratos, MD, Felix Hochberger, MD

“…Materials and methods: Hospital billing data from the Federal Statistical Office of Germany (2013-2023) were analyzed, including patients diagnosed with ACJD (International Classification of Diseases-10: primary diagnosis International Classification of Diseases S43.1) who underwent surgical reconstruction of the ACJD (German Operation and Procedure Classification System codes: 5-814b, 5-807.4, 5-807.5, 5-807.6, 5-930.0, 5-852.f, and 5-852.f8). …”
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