Which features of AI-based tools are important for students? A choice-based conjoint analysis by Jörg von Garrel, Jana Mayer

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Hybrid Transform-Based Feature Extraction for Skin Lesion Classification Using RGB and Grayscale Analysis by Luis Felipe López-Ávila, Josué Álvarez-Borrego

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Enhancing DDoS Attack Classification through SDN and Machine Learning: A Feature Ranking Analysis by Aymen AlAwadi, Kawthar Rasoul ALesawi

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Quantitative CT Analysis of Lung Features in Patients with Polymyositis/Dermatomyositis without Interstitial Lung Disease by He HEI, Kai YANG, Liyu HE, Yadan SHENG, Yaqi YAN, Bingjie ZHU, Yuting ZHANG, Jiayin TONG, Jingping ZHANG, Chenwang JIN

“…The differences in CT quantitative parameters among the three groups were compared, and ROC analysis was performed. Results: The lung volume in the PM/DM-ILD group decreased compared to the PM/DM-Non-ILD group, except for the right upper lobe. …”
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The Effect of Systemic Inflammation and Clinicopathologic Features on Survival in Malignant Pleural Mesothelioma: A Multicenter Analysis by Nadiye Sever, Sedat Yıldırım, Ali Fuat Gurbuz, Delyadil Karakaş Kılıç, Esra Zeynelgil, Yunus Emre Altintaş, Berivan Deniz Çimik, Yeşim Ağyol, Ali Kaan Güren, Pınar Erel, Erkam Kocaaslan, Burak Paçacı, Mustafa Alperen Tunç, Abdussamet Çelebi, Nazım Can Demircan, Selver Işık, Rukiye Arıkan, Murat Araz, Serdar Karakaya, Murat Sarı, Osman Köstek, İbrahim Vedat Bayoğlu

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Photovoltaic module dataset for automated fault detection and analysis in large photovoltaic systems using photovoltaic module fault detectionMendeley Data by Rotimi-Williams Bello, Pius A. Owolawi, Etienne A. van Wyk, Chunling Du

“…DJI Mavic 3 Thermal coupled with its advanced flight features makes it an excellent tool for precise and efficient inspections of PV systems. …”
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Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection by Dixon Vimalajeewa, Chihoon Lee, Brani Vidakovic

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Machine learning fusion for glioma tumor detection by C. Gunasundari, K. Selva Bhuvaneswari

“…This paper introduces a framework for a tumor detection system capable of grading gliomas. The system’s implementation begins with the acquisition and analysis of brain magnetic resonance images. …”
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An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification by Khaoula Taji, Ali Sohail, Tariq Shahzad, Bilal Shoaib Khan, Muhammad Adnan Khan, Khmaies Ouahada

“…The extracted Convolutional Neural Network (CNN) features are selected and fused with the LBP features. …”
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Intrusion detection algorithm of wireless network based on network traffic anomaly analysis by Xiangqian Nie, Jiao Xing, Qimeng Li, Fan Xiao

“…These features are analyzed by an intrusion detection module combining particle swarm optimization and support vector machine algorithms. …”
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Identification of AI-Generated Rock Thin-Section Images by Feature Analysis Under Data Scarcity by Magdalena Habrat, Maciej Dwornik

“…An important aspect of geoscience and energy research is the analysis of microscopic images, where the assessment of rock properties combines imaging methods with numerical analysis. …”
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An analysis of cloud microphysical features over United Arab Emirates using multiple data sources by Z. Zhang, V. Afzali Gorooh, D. Axisa, C. Radhakrishnan, E. Y. Kim, V. Chandrasekar, L. Delle Monache

“…This study provides scientific support for the development of an applicable framework to examine cloud precipitation processes and detect suitable cloud features that could be tracked for further precipitation analysis and nowcasting.…”
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Advanced Dense Text Detection in Graded Examinations Leveraging Chinese Character Components by Renyuan Liu, Yunyu Shi, Xian Tang, Xiang Liu

“…Especially in low-quality handwritten text, character overlap or occlusion makes the character boundaries blurred, which increases the difficulty of detection and segmentation; In this paper, an improved EAST network CEE (Components-ECA-EAST Network), which fuses the attention mechanism with the feature pyramid structure, is proposed based on the analysis of the structure of Chinese character mini-components. …”
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Immune, metabolic, anatomical, and functional features of people after successful tuberculosis treatment: an exploratory analysis by Tariq Webber, Candice Macdonald, Michele Tameris, Nicolette Tredoux, Anandi Bierman, Andrea Gutschmidt, Susanne Tönsing, Andriëtte Hiemstra, Firdows Noor, Candice Snyders, Tracy Richardson, Bernadine Fransman, Brian Allwood, Mark Hatherill, Leanie Kleynhans, André G. Loxton, Gerhard Walzl, Novel Chegou, Nelita du Plessis, Jane A Shaw, Stephanus T. Malherbe

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Computed Tomography (CT) Imaging Features of Patients with COVID-19: Systematic Review and Meta-Analysis by Ephrem Awulachew, Kuma Diriba, Asrat Anja, Eyob Getu, Firehiwot Belayneh

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Wavelet-Enhanced YOLO for Intelligent Detection of Welding Defects in X-Ray Films by Wenyong Wu, Hongyu Cheng, Jiancheng Pan, Lili Zhong, Qican Zhang

“…This study integrates wavelet transform convolutions (WTConv) into YOLOv11n, creating WT-YOLO, to enhance defect detection in X-ray films. Wavelet transforms enable multi-resolution analysis, extracting both high-frequency and low-frequency features critical for detecting various welding defects. …”
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Correlation Analysis of Pathological Features and Axillary Lymph Node Metastasis in Patients with Invasive Breast Cancer by Hongye Chen, Xiangchao Meng, Xiaopeng Hao, Qiao Li, Lin Tian, Yue Qiu, Yuhui Chen

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Clinical Features, Microbiological Characteristics, and Drug Sensitivity Analysis of Rare Human Spinal Pythiosis Strain by Mingliang Li, Donglin Zhu, Qiuyue Diao, Xiaoyun Liu, Xiaogang Bi, Jianwen Dong, Jian Sun, Yun Xi, Kouxing Zhang

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Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives by Juan Barrios, Elena Poznyak, Jessica Lee Samson, Halima Rafi, Simon Gabay, Florian Cafiero, Martin Debbané, Martin Debbané

“…This study explores, for the first time, the potential of Natural Language Processing (NLP) and stylometry to identify linguistic markers within Self-Defining Memories (SDMs) of adolescents with ADHD and to evaluate their utility in detecting the disorder. A further novel aspect of this research is the use of SDMs as a linguistic dataset, which reveals meaningful patterns while engaging psychological processes related to identity and memory.MethodOur objectives were to: (1) characterize linguistic features of SDMs in ADHD and control groups; (2) assess the predictive power of stylometry in classifying participants' narratives as belonging to either the ADHD or control group; and (3) conduct a qualitative analysis of key linguistic markers of each group. …”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…This paper proposes an optimization method based on image enhancement and feature detection to address the challenges of low-quality X-ray images,significant noise interference, and difficulty in defect identification during the detection of ablation defects in high-voltage cable buffer layers. …”
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