Profile of Dermatophytes and Antifungal Susceptibility Pattern: A Cross-sectional Descriptive Study in a Government Setup in Urban South Kerala, India Nation by Lakshmi Nandakumar, Manjusree Suresh, Sabeena Jayapalan, O Sasikumari

“…Other species also exhibited a similar pattern of susceptibility. Conclusions: In the present study, T. mentagrophytes was found to be the predominant species, followed by T. rubrum. …”
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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

“…This study used Louvain and machine learning algorithm for CMM pattern detection. The features playing key roles in CMM pattern recognition included choline, iron, niacin, cholesterol, Vitamin B2 and potassium intake, which can serve as references for CMM health management.…”
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Cross-Domain Adversarial Learning for Sea Surface Temperature Super-Resolution by Wenhui Li, Jingyi Wang, Dan Song, Zhengya Sun, Zhiqiang Wei, An-An Liu

“…Specifically, the multiscale information of SST data is extracted to capture local detail and global trend in SST, thereby enhancing feature representation capabilities. In addition, we design the asynchronous frequency network to further encode and represent the distinct characteristics of different frequency components, e.g., overall trend changes and local rapid variations, leading to improved performance in handling complex data patterns. …”
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Industrial Image Anomaly Detection via Synthetic-Anomaly Contrastive Distillation by Junxian Li, Mingxing Li, Shucheng Huang, Gang Wang, Xinjing Zhao

“…<i>FeaCali</i> modules are trained to strip out a student’s anomalous patterns in anomaly branches, enhancing the student network’s exclusive modeling of normal patterns. …”
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Impact of High Temperatures on Tourist Flows in Urban and Rural Areas: Climate Adaptation Strategies in China by Man Wei, Tai Huang

“…This reduction altered spatial patterns, shifting from a multicentric distribution to an urban-centered concentration. …”
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TYPOLOGY OF ROMANIAN CRIMINAL TRIAL. REALITIES AND TRENDS by ANDREI ZARAFIU

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On Stair Walk Recognition Using a Single Magnetometer-free IMU and Deep Learning by Kuhlgatz Timo, Jordine Marco, Lehmann Dustin, Seel Thomas

“…Neural networks are often employed for HAR, as they can identify movement patterns within data. To optimize the amount of useful information provided to the network, feature extraction methods are commonly applied. …”
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Characterizing changes to individual-specific brain signature with age by Monireh Taimouri, Vikram Ravindra

“…Using functional connectomes data from resting-state and task-based fMRI, we found that a small subset of features consistently capture individual-specific patterns, with significant overlap (~50%) between consecutive age groups and across atlases. …”
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The structure of inflected Urdu nominals: insights from Distributed Morphology by Faiza Ghulam Nabi, Baber Sultan Ali Khan, Tahir Saleem

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MeshHSTGT: hierarchical spatio-temporal fusion for mesh network traffic forecasting by Sunlei Qian, Xiaorong Zhu

“…Unlike conventional serial architectures, MeshHSTGT employs a parallel feature re-extraction paradigm to independently capture domain-specific patterns, followed by a Transformer-based adaptive alignment module to dynamically fuse multi-domain features via self-attention. …”
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Robust Multi-Subtype Identification of Breast Cancer Pathological Images Based on a Dual-Branch Frequency Domain Fusion Network by Jianjun Li, Kaiyue Wang, Xiaozhe Jiang

“…In the field of signal processing, texture-rich images typically exhibit periodic patterns and structures, which are manifested as significant energy concentrations at specific frequencies in the frequency domain. …”
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Alzheimer’s Disease Prediction Using Fisher Mantis Optimization and Hybrid Deep Learning Models by Sameer Abbas, Mustafa Yeniad, Javad Rahebi

“…Fisher Mantis Optimization (FMO) was employed for optimal feature selection. The selected features were classified using a CNN-LSTM model, capturing both spatial and temporal patterns. …”
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DualAD: Dual adversarial network for image anomaly detection⋆ by Yonghao Wan, Aimin Feng

“…On the other hand, the authors utilise adversarial training of the FC module and the reconstruction module to achieve superior feature representation, making anomalies more distinguishable at the feature level. …”
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Monitoring Critical Mountain Vertical Zonation in the Surkhan River Basin Based on a Comparative Analysis of Multi-Source Remote Sensing Features by Wenhao Liu, Hong Wan, Peng Guo, Xinyuan Wang

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Enhanced visibility graph for EEG classification by Asma Belhadi, Pedro G. Lind, Pedro G. Lind, Pedro G. Lind, Youcef Djenouri, Youcef Djenouri, Anis Yazidi, Anis Yazidi

“…Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

“…Our results showed the evaluations follow similar patterns in all datasets and predictions: when dissimilarity is low (usually lower than 30%), RDM-CV provides the most accurate evaluation results. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
Get full text

Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
Get full text