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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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

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MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection by Thulasi Bikku, K. P. N. V. Satya Sree, Srinivasarao Thota, Malligunta Kiran Kumar, P. Shanmugasundaram

“…To address this, we propose Multi-Scale Region-wise Pixel Analysis with GAN for Tiny Object Detection (MSRP-TODNet). …”
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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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Change-Guided Difference Interaction Attention Network for Remote Sensing Change Detection by Canbin Hu, Sida Du, Hongyun Chen, Xiaokun Sun, Kailun Liu

“…Change Detection (CD) is a fundamental task in remote sensing image analysis, widely applied in fields such as municipal planning and vital signs monitoring. …”
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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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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…However, electrical faults such as inter-turn short circuits can compromise performance, leading to unplanned downtime and maintenance costs. Traditional fault detection methods rely on stator current or vibration analysis, each with limitations regarding sensitivity to specific failure modes and dependence on motor power ratings. …”
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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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Morphological features of immune inflammation in patients with persistent post-traumatic uveitis by G. P. Zakharova, I. A. Filatova, V. O. Denisyuk

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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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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

“…In recent times, deep learning (DL) techniques have become a powerful approach for extracting feature representations from data, leading to significant advancements in the field of object detection. …”
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Intrusion Detection and Real-Time Adaptive Security in Medical IoT Using a Cyber-Physical System Design by Faeiz Alserhani

“…The system is constructed on a feedback-looped architecture integrating hybrid feature modeling, physical behavioral analysis, and Extreme Learning Machine (ELM)-based classification to provide adaptive access control, continuous monitoring, and reliable intrusion detection. …”
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A Hybrid Machine Learning Approach for Detecting and Assessing <i>Zyginidia pullula</i> Damage in Maize Leaves by Havva Esra Bakbak, Caner Balım, Aydogan Savran

“…The maize images undergo preprocessing and segmentation using Contrast Limited Adaptive Histogram Equalization and U2Net, respectively. Extracted features are then fused and subjected to Principal Component Analysis for dimensionality reduction. …”
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Forecasting Eruptions at Steamboat Geyser: Time Scales, Differentiability, and Detectability of Seismic Precursors Through Data‐Driven Methods by Alberto Ardid, Anna Barth, David Dempsey, Michael Manga, Shane J. Cronin

“…Four seismic amplitude measures and 700 time‐series features were computed from the seismic data. A template matching analysis identified an optimal 18‐hr window for detecting precursors. …”
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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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MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature by Muhammad Umair Ali, Shaik Javeed Hussain, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar

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Capturing Fine-Grained Food Image Features Through Iterative Clustering and Attention Mechanisms by Wei He, Mengmeng Liu, Qingqi Liang

“…Food image recognition is a crucial initial step for food detection, nutritional analysis, and dietary recommendations. …”
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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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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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