A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death by Humaira Noor, Yuanning Zheng, Adam B. Mantz, Ryle Zhou, Andrew Kozlov, Wendy B. DeMartini, Shu-Tian Chen, Satoko Okamoto, Debra M. Ikeda, Melinda L. Telli, Allison W. Kurian, James M. Ford, Shaveta Vinayak, Mina Satoyoshi, Vishal Joshi, Sarah A. Mattonen, Kevin Lee, Olivier Gevaert, George W. Sledge, Haruka Itakura

“…To identify high-risk TNBC, we conducted a retrospective analysis of 749 patients from two independent cohorts. …”
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Deep learning and sentence embeddings for detection of clickbait news from online content by Amara Muqadas, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz, Tariq Alsahfi, Ali Daud

“…To the best of our knowledge, this study is novel to focus on news clickbait detection from Urdu language content. We propose to use state of the art deep features including sentence embeddings to be applied as input to deep learning models. …”
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Deep Learning for Vehicle Deceleration Detection Using UWB CIR and Doppler Shift by Kyungbo Lee, Jiwoong Park, Young-Bae Ko

“…To address these challenges, this study proposes a novel vehicle deceleration classification framework based on Ultra-Wideband (UWB) Channel Impulse Response (CIR) analysis and Doppler Frequency Shift (DFS) analysis. …”
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Defect Detection of Bolts through Machine Learning ofUltrasonic Testing Signals by Abdul Azziz Abd Talib, Chun Yee Lim, Chin Kian Liew

“…This paper integrates machine learning to automate ultrasonic testing signal analysis in enhancing the reliability and precision of defect detection of bolts. …”
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Efficient Learning-Based Robotic Navigation Using Feature-Based RGB-D Pose Estimation and Topological Maps by Eder A. Rodríguez-Martínez, Jesús Elías Miranda-Vega, Farouk Achakir, Oleg Sergiyenko, Julio C. Rodríguez-Quiñonez, Daniel Hernández Balbuena, Wendy Flores-Fuentes

“…Low visual similarity or detected obstacles trigger graph editing and Dijkstra replanning in real time. …”
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Deep Learning for Automatic Detection of Volcanic and Earthquake-Related InSAR Deformation by Xu Liu, Yingfeng Zhang, Xinjian Shan, Zhenjie Wang, Wenyu Gong, Guohong Zhang

“…Finally, we discuss the challenges in automatic detection and propose potential solutions. This study aims to provide a comprehensive overview of the current applications of deep learning for extracting InSAR deformation features, with a particular focus on earthquake and volcanic monitoring.…”
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Application of Modern Technical Means of Chemical Reconnaissance and Control for the Detection and Identification of Explosives by V. A. Inozemcev, I. N. Efimov, A. A. Pozvonkov, А. S. Samorodov, V. N. Ponomarev, S. S. Kolbinev

“…The analysis of the capabilities of modern technical means of chemical reconnaissance and special equipment of chemical control indicates the possibility of quick detection of mined and explosive devices (EDs) by identification of the explosives included in the EDs and related technological impurities. …”
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Artificial Neural Networks Based Decision Support System for the Detection of Diabetic Retinopathy by Zehra Karapınar Şentürk

“…Besides showing the success of ANN in diabetic retinopathy detection, this study also proved that Rapid Miner can be used effectively for the analysis of diabetic retinopathy.…”
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The Auxiliary Role of Cardiac Magnetic Resonance Feature-Tracking Parameters in the Differentiation between Cardiac Amyloidosis and Constrictive Pericarditis by Sanaz Asadian, Mahta Farzin, Faezeh Tabesh, Nahid Rezaeian, Hooman Bakhshandeh, Leila Hosseini, Yaser Toloueitabar, Mohammad Mehdi Hemmati Komasi

“…We aimed to explain cardiac magnetic resonance (CMR) imaging findings (especially feature tracking (FT)) of CA and CP cases and compare them with healthy controls. …”
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High Precision Detection Pipe Bursts Based on Small Sample Diagnostic Method by Guoxin Shi, Xianpeng Wang, Jingjing Zhang, Xinlei Gao

“…In this paper, the burst state was quickly detected through the limited data analysis of pressure monitoring points. …”
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BrYOLO-Mamba: A Approach to Efficient Tracheal Lesion Detection in Bronchoscopy by Yuejiao Cao, Jianzhong Zhang, Ruibing Zhuo, Jin Zhao, Yanting Dong, Tanzhen Liu, Hui Zhao

“…Although artificial intelligence has made significant progress in enhancing the accuracy and efficiency of medical image diagnosis, current systems still struggle to effectively capture long-range dependencies and fine-grained features in complex medical images. Specifically, CNN and Transformer models face limitations in modeling long-range interactions and managing computational complexity, which reduces their effectiveness in bronchoscopic image analysis.To address these issues, this study proposes the BrYOLO-Mamba model. …”
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Machine Learning based estimation of Chlorophyll and Flavonoid content in Bitter Leaf using Color and GLCM Texture Features by Retno Damayanti, Yusuf Hendrawan, Sandra Sandra

“…Leaves at three developmental stages were analyzed using standard spectrophotometric methods for validation. GLCM features (contrast, correlation, energy, and homogeneity) were extracted from normalized leaf images, and feature selection techniques were employed to identify the most predictive variables. …”
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The genetic feature and virulence determinant of highly virulent community-associated MRSA ST338-SCCmec Vb in China by Ye Jin, Wangxiao Zhou, Zhidong Yin, Shuntian Zhang, Yunbo Chen, Ping Shen, Jinru Ji, Weiwei Chen, Beiwen Zheng, Yonghong Xiao

“…To address this issue, here, we described thirteen ST338 CA-MRSA strains isolated from severe bloodstream infection cases, and focused on their epidemiology, genetic features and virulence potential. Phylogenetic analysis showed the earliest isolated strain of this study is likely a predecessor of recent ST338 lineage (after year of 2014). …”
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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Takuma Asano, Shintaro Izumi, Hiroshi Kawaguchi

“…A 60 GHz microwave Doppler sensor was used to capture heartbeat signals, which were processed using a conformer network to detect peaks and segment individual beats. High signal-to-noise ratio waveforms were selected, and time-frequency analysis extracted relevant features. …”
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GSIDroid: A Suspicious Subgraph-Driven and Interpretable Android Malware Detection System by Hong Huang, Weitao Huang, Feng Jiang

“…To address these challenges, we propose GSIDroid, a novel subgraph-driven and interpretable Android malware detection framework designed to enhance detection performance, reduce computational overhead, protect user security, and assist security experts in rigorous malware analysis. …”
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A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Recently, research on multi-objective optimization algorithms for community detection in complex networks has grown considerably. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…Electronic devices capable of collecting individual telemetry data have opened up prospects for preclinical detection of COVID-19 signs. Known solutions involve the analysis of information that is difficult to obtain at the moment. …”
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Automated identification of sedimentary structures in core images using object detection algorithms. by Ammar J Abdlmutalib, Korhan Ayranci, Umair Bin Waheed, Hamad D Alhajri, James A MacEachern, Mohammed N Al-Khabbaz

“…Both models faced challenges in distinguishing morphologically similar features, such as mud drapes and bioturbated media. …”
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Developing a Machine Vision System to Detect Weeds from Potato Plant by Yousef Abbaspour Gılandeh, Hossein Javadıkıa, Sajad Sabzı

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Integrated Sensor System for Real-Time Monitoring and Detection of Fish Quality and Spoilage by Binson V. A., Sania Thomas

“…The data acquisition system collects and processes information from the sensor array, while the data processing system extracts relevant features for subsequent analysis. A pattern recognition system, employing a robust LDA-XGBoost model, was employed to differentiate between fresh and spoiled fish. …”
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