An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost... by Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad

“…Due to challenges such as illumination variability, noise, and visual distortions, machine learning (ML) and deep learning (DL) approaches for skin disease evaluation remain complex. …”
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Clinical and Microbiological Profile of Bacterial and Fungal Suspected Corneal Ulcer at University of Gondar Tertiary Eye Care and Training Centre, Northwest Ethiopia by Tarekegn Wuletaw, Mekuanint Geta, Adane Bitew, Wossen Mulugeta, Baye Gelaw

“…Therefore, the main objective of this research was to assess the clinical and microbiological profile of suspected bacterial and fungal corneal ulcers at the Tertiary Eye Care and Training Centre at Gondar University. …”
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Enhancing Disaster Situation Awareness Through Multimodal Social Media Data: Evidence from Typhoon Haikui by Songfeng Gao, Tengfei Yang, Yuning Xu, Naixia Mou, Xiaodong Wang, Hao Huang

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Structured Comparison Approach in Remote Interprofessional Education: Enhancing Role Clarity and Collaborative Identity Through Video-Based Reflection by Ysuhisa Nakamura, Kazuko Ando, Kyoko Otani, Mayumi Yoshikawa, Ayako Furuzawa

“…In the second, the profession-specific results were aggregated, visualized, and shared as feedback to prompt guided reflection. …”
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Recent advancements in image‐enhanced endoscopy in the pancreatobiliary field by Haruka Toyonaga, Tsuyoshi Hayashi, Kazuki Hama, Ryo Ando, Tatsuya Ishii, Kenta Yoshida, Toshifumi Kin, Masayo Motoya, Kuniyuki Takahashi, Akio Katanuma

“…Optical‐digital methods such as narrow‐band imaging enhance mucosal details and vessel patterns, aiding in ampullary tumor evaluation and peroral cholangioscopy. …”
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Event-related potential markers of subjective cognitive decline and mild cognitive impairment during a sustained visuo-attentive task by A.A. Vergani, S. Mazzeo, V. Moschini, R. Burali, M. Lassi, L.G. Amato, J. Carpaneto, G. Salvestrini, C. Fabbiani, G. Giacomucci, C. Morinelli, F. Emiliani, M. Scarpino, S. Bagnoli, A. Ingannato, B. Nacmias, S. Padiglioni, S. Sorbi, V. Bessi, A. Grippo, A. Mazzoni

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Temporal, spatial and demographic distributions characteristics of COVID-19 symptom clusters from chinese medicine perspective: a systematic cross-sectional study in China from 201... by Bin Liu, Tian Song, Mingzhi Hu, Zhaoyuan Gong, Qianzi Che, Jing Guo, Lin Chen, Haili Zhang, Huizhi Li, Ning Liang, Jing Wan, Kunfeng Wang, Yanping Wang, Nannan Shi, Luqi Huang

“…Data analysis and visualization were conducted using R software (4.2.0), while the association analysis of symptom clusters was performed using Cytoscape (3.10.2). …”
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Cybersecurity Framework: Addressing Resiliency in Welsh SMEs for Digital Transformation and Industry 5.0 by Nisha Rawindaran, Ambikesh Jayal, Edmond Prakash

“…Advanced analytical techniques, including regression testing, Principal Component Analysis (PCA), and data visualization, were employed to uncover key insights and patterns. …”
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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

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RECURRENT ANALYSIS OF ENERGY CONSUMPTION OF A METALLURGICAL ENTERPRISE by Anna Bakurova, Iryna Divocha, Kiyko Sergiy, Olesia Yuskiv

“…The aim of the work is a recurrent analysis of the time series of energy consumption of a metallurgical enterprise and the development of a program in the Matlab environment for automating calculations and experimental testing of data available for research in PJSC Electrometallurgical Plant "Dniprospetsstal" named after A. …”
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A Fourier Fitting Method for Floating Vehicle Trajectory Lines by Yun Shuai, Pengcheng Liu, Hao Han

“…Data fitting can extract key information and reveal underlying patterns, and the use of fitting methods can significantly improve the efficiency and accuracy of spatiotemporal trajectory data analysis, offering new perspectives and methodological support for related research fields. …”
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‘The Apex of Hipster XML GeekDOM’ by Lynne Siemens, Ray Siemens, Hefeng (Eddie) Wen, Cara Leitch, Dot Porter, Liam Sherriff, Karin Armstrong, Melanie Chernyk

“…If the notion of the methodological commons is as centrally located as we believe it to be in any visualization accurately depicting the intellectual structure of the digital humanities and digital literary studies (McCarty 2005, 119), then so, too, must be the community itself whose members provide that which populates the commons. …”
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Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest by Meitong Zhu, Meng Xu, Meng Gao, Rui Yu, Guangyu Bin

“…This study aimed to analyze the background patterns of electroencephalogram (EEG) signals from such patients to identify the key indicators for assessing the prognosis after coma. …”
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Deep learning based identification of rock minerals from un-processed digital microscopic images of undisturbed broken-surfaces by M.A. Dalhat, Sami A. Osman

“…Patterns such as banding and chromatic contrasts further enhanced classification accuracy. …”
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Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

“…Finally, Python TensorBoard was used to evaluate and visualize the model's performance. The model was developed and validated on the Google Colab platform. …”
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Exploring Passengers’ Dependency Variety on Stations’ Functions in Urban Subway by Xia Zhao, Pengpeng Jiao, Yong Zhang, Chenjing Zhou

“…Findings in this research help distinguish passengers with low levels of subway dependency and grasp how those passengers without striking dependency travel by subway and what for so that practitioners can conduct an accurate risk assessment on them.…”
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Uncovering the complex interactions of mental health symptoms in Chinese college students: insights from network analysis by Wenshu Fan, Huoyin Zhang, Peng Lei, Yue Tang, Juan Du, Junyi Li

“…The findings reveal central symptoms and distinct symptom clusters, underscoring the importance of developing targeted, personalized interventions that address these specific patterns of psychological distress. By illuminating the intricate structure of mental health networks, this research provides a foundation for more effective, tailored approaches to support student well-being in higher education settings.…”
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Unravelling the apoptosis induction potential of Amomum cardamomum seed: A combination in silico and in vitro approach by Salsabila Putri Khairani, Kevin Nathaniel Cuandra, Zerlina Dwi Ramadhannisa, Aldi Tamara Rahman, Dessy Arisanty, Noza Hilbertina

“…Cell viability was assessed through MTT assay at various concentrations with 24 and 48-hour incubation periods and compared with the control cells. Apoptosis patterns were visualized by Immunofluorescence assay and analyzed utilizing ImageJ software. …”
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Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…To our knowledge, these approaches and especially their application in fall detection represent rarely explored directions in this research area. To assess the quality of the synthetic data, we use quantitative metrics, including the Fréchet Inception Distance (FID), Discriminative Score, Predictive Score, Jensen–Shannon Divergence (JSD), and Kolmogorov–Smirnov (KS) test, and visually inspect temporal patterns for structural realism. …”
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Numerical Simulation and Experimental Study on the Gas-liquid Two-phase Flow in the Pump During the Gas Cut-off Transition Process by F. Yang, J. Zhang, C. Shao

“…High-speed photography (HSP) served for visualizing the flow patterns within a transparent centrifugal pump model fabricated from plexiglass. …”
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