Displacement-Sensing Method Based on Residual Scaling for One-Shot MMF Specklegram Prediction by Bohao Shen, Jianzhi Li

“…To achieve a high-resolution displacement detection model, a one-shot dataset was constructed by collecting MMF specklegram images for 1801 displacements with resolution of 0.01 mm. …”
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Data Biases in Geohazard AI: Investigating Landslide Class Distribution Effects on Active Learning and Self-Optimizing by Jing Miao, Zhihao Wang, Tianshu Ma, Zhichao Wang, Guoming Gao

“…In balanced scenarios (1:1), both strategies yield comparable numerical metrics; however, margin sampling produces spatially coherent detections with fewer fragmented errors. These findings indicate that regardless of the landslide proportion, AL enhances the generalizability of landslide detection models in terms of predictive accuracy and spatial consistency. …”
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A Typical Lens Coloboma – A Rare Cause of Childhood Blindness by Punita Garg, Parul Aggarwal, H.K Sidhu

“…The visual prognosis of such patients depend upon the time of detection and early visual rehabilitation.…”
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Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years by Banu Çiçek Tez, Yasin Güzel, Bahar Başak Kızıltan Eliaçık, Zafer Aydın

“…Conclusions: This finding highlights the potential of AI-driven technologies in enhancing the accuracy and reliability of dental plaque detection and segmentation in pediatric dentistry.…”
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The Validation of a New Visual Anaemia Evaluation Tool HemoHue HH1 in Patients with End-Stage Renal Disease by Robert M. Kalicki, Stefan Farese, Dominik E. Uehlinger

“…A learning effect could be detected. Relative errors in individual estimates reached, however, up to 50%. …”
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Testing different function fitting methods for mobile eye-tracker calibration by Börn Severitt, Thomas Kübler, Enkelejda Kasneci

“…We found the commonly used polynomial regression via least-squares-error fit often lacks to find good mapping functions when compared to ridge regression. …”
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Low-Cost Portable Road Smoothness Testing Method Based on Pseudo-Vibration Velocity Range by Hongwei Jiang, Xinlong Tong, Yanhong Zhang, Zhoujing Ye, Junqing Li, Yu Wang, Yinghao Miao

“…Therefore, finding a low-cost, simple, and accurate method for detecting road smoothness is of great significance. …”
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Computer Vision-Based Safety Monitoring of Mobile Scaffolding Integrating Depth Sensors by Muhammad Sibtain Abbas, Rahat Hussain, Syed Farhan Alam Zaidi, Doyeop Lee, Chansik Park

“…A diverse dataset from multiple sources enhances the model’s applicability to real-world scenarios, while a status trigger module verifies worker behavior over a 3 s window, minimizing detection errors. The experimental results demonstrate high precision (0.95), recall (0.97), F1-score (0.96), and accuracy (0.95) for safe behaviors, with similarly strong metrics for unsafe behaviors. …”
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Impact of multiple radar wind profiler data assimilation on convective-scale short-term rainfall forecasts: OSSE studies over the Beijing–Tianjin–Hebei region by J. Zhao, J. Guo, X. Zheng

“…Further sensitivity experiments on vertical resolution and maximum detection height indicate that the RWP system configuration with the highest detection height achieves the best performance, while lower detection height degrades forecast quality. …”
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Validation of MotionWatch8 Actigraphy Against Polysomnography in Menopausal Women Under Warm Conditions by Xinzhu Li, Mark Halaki, Chin Moi Chow

“…Epoch-by-epoch analysis revealed high sensitivity for sleep detection (94.8%) but low specificity for wake detection (33.1%), with 87.3% overall accuracy. …”
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Applications of artificial intelligence in thoracic imaging: a review by Arjun Kalyanpur, Neetika Mathur

“…AI systems can help radiologists identify subtle findings that might otherwise be overlooked, thereby increasing efficiency and reducing diagnostic errors. …”
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”My AI is Lying to Me”: User-reported LLM hallucinations in AI mobile apps reviews by Rhodes Massenon, Ishaya Gambo, Javed Ali Khan, Christopher Agbonkhese, Ayed Alwadain

“…Using a mixed-methods approach, a heuristic-based User-Reported LLM Hallucination Detection algorithm were applied to identify  20,000 candidate reviews, from which 1,000 are manually annotated. …”
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SPECIFIC FEATURES OF ELECTROENCEPHALOGRAPHIC PAROXYSMAL ACTIVITY REGISTRATION IN OLD AGE GROUP PATIENTS by S. A. Gulyaev, I. V. Arkhipenko, S. E. Gulyaeva, A. A. Ovchinnikova, A. V. Ovchinnikov

“…According the data available in the literature, both overdiagnosis of epilepsy (20–25 % of all new diagnosed cases) and its underdiagnosis (as high as 10 %) are frequent diagnostic errors. Such errors are most commonly related to the misinterpretation of electrophysiological evidence in both young patients (in whom paroxysmal phenomena are a result of functional immaturity of brain structures) and elderly patients (in whom paroxysmal activity is a consequence of the development of degenerative processes in the neurons).Objective: to show examples of electroencephalographic (EEG) paroxysmal activity in old age group patients suffering from non-epileptic paroxysms.Now EEG investigation is a highly sensitive technique that requires a physician’s knowledge of neuroanatomy and neurophysiology to correct interpretation of the findings. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…Through rigorous testing across various scenarios and dimensions, our findings demonstrate that STARMAP substantially improves localization accuracy by reducing geometry-induced errors compared to traditional placement strategies.…”
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Adaptive Syndrome Extraction by Noah Berthusen, Shi Jie Samuel Tan, Eric Huang, Daniel Gottesman

“…Compared to nonconcatenated codes and nonadaptive syndrome extraction, we find that the adaptive scheme achieves over an order of magnitude lower logical error rates while requiring fewer cnot gates and physical qubits. …”
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Deep Learning Approach for Pneumonia Prediction from X-Rays using A Pretrained Densenet Model by Ahmad Zein Al Wafi, Febry Putra Rochim, Aisya Fathimah

“…Performance evaluation revealed that DenseNet201 outperformed the other models, achieving a precision of 0.99 and a recall of 0.61 for normal cases (F1-score of 0.75) and a precision of 0.81 with a recall of 0.99 for pneumonia cases (F1-score of 0.89). These findings demonstrate that DenseNet201 provides a reliable and effective solution for automated pneumonia detection, offering improved diagnostic efficiency and accuracy compared to traditional methods.…”
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RunicNet: Leveraging CNNs With Attention Mechanisms for Cervical Cancer Cell Classification by Erin Beate Bjørkeli, Morteza Esmaeili

“…Introduction: Early detection through routine screening methods, such as the Papanicolaou (Pap) test, is crucial for reducing cervical cancer mortality. …”
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Improving phenological event identification in trees using manually measured dendrometer data: conventional approaches vs. the novel two-stage threshold approach by Przemysław A. Jankowski, Przemysław A. Jankowski, Rafael Calama, Jorge Aldea, Matías García, Guillermo Madrigal, Marta Pardos

“…However, year cessation was best estimated using a 95% relative growth threshold derived from the Richards function. These findings highlight the potential of the 2STA as a robust and objective method for phenological event detection using manually collected band dendrometer data, particularly for species with complex intra-annual growth patterns. …”
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Numerical simulation and field verification of high-pressure sour natural gas erosion within wellhead skid-mounted choke manifold by Zhaoqian LUO, Xingping TIAN, Huanhuan WANG, Bo1 WANG, Zhouyu PENG, Kexi LIAO, Guoxi HE, Hanyu ZHONG

“…Conclusion The findings of this study provide valuable theoretical guidance for the safe detection of field facilities in high-pressure sour gas reservoirs. …”
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Executive function deficits in adults with childhood‐onset type 1 diabetes mellitus: Evidence from Wisconsin card sorting test performance by Jing He, Wenjing Zou, Hongyu Du, Songzhuzi Liu, Xia Li, Zhiguang Zhou, Xiongzhao Zhu

“…Conclusions T1DM is associated with EF decrements, and there are differences in EFs between childhood‐onset and adult‐onset T1DM. These findings indicate that we should consider detecting and intervening in EF deficits in the T1DM population according to the age of onset.…”
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