Ensemble-based eye disease detection system utilizing fundus and vascular structures by Hongjie Yu, Xingbo Dong

“…Traditional diagnostic methods, relying on manually analyzing images, often have problems making an early detection and with their accuracy and efficiency, largely due to the subjectivity of human judgment and the time-consuming nature of the process. …”
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Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

“…To address this issue, this paper proposes a method for optimizing railway obstacle detection models based on zero-cost neural architecture search. …”
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Monocular 3D object detection with thermodynamic loss and decoupled instance depth by Gang Liu, Xiaoxiao Xie, Qingchen Yu

“…Monocular 3D detection is to obtain the 3D information of the object from the image. …”
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RGB-to-hyperspectral conversion for accessible melanoma detection: A CNN-based approach by Bsharat Sondos Mahmoud, Abouelnour Sana, Ahmed Ragad, Elkhatib Mariam, Gaber Sama, Shehieb Wessam, Arshad Kamran, Assaleh Khaled

“…Through this conversion process, spectral information is improved, enabling a more thorough examination to detect melanoma. …”
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A New Algorithm for Detecting X-Ray Shots in Cyg X-1 by Jin Qin, Hua Feng, Lian Tao

“…We propose a new algorithm for shot identification in the X-ray light curve, based on baseline detection and template fitting. Compared with previous techniques, our algorithm allows us to detect shots with lower amplitudes and shorter time separations. …”
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Multisensor-Weighted Fusion Algorithm Based on Improved AHP for Aircraft Fire Detection by Rui Wang, Yahui Li, Hui Sun, Kaixin Yang

“…Aiming at the high false alarm rate when using single sensor to detect fire in aircraft cabin, a multisensor data fusion method is proposed to detect fire. …”
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Evolving Strategies in Machine Learning: A Systematic Review of Concept Drift Detection by Gurgen Hovakimyan, Jorge Miguel Bravo

“…In this comprehensive literature review, we rigorously adhere to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for our process and reporting. This review employs an innovative method integrating the advanced natural language processing model T5 (Text-to-Text Transfer Transformer) to enhance the accuracy and efficiency of screening and data extraction processes. …”
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Sitting and Standing Intention Detection Based on Dynamical Region Connectivity and Entropy of EEG by Wenwen Chang, Wenchao Nie, Yueting Yuan, Yuchan Zhang, Renjie Lv, Lei Zheng, Guanghui Yan

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Application of GPR Underground Pipeline Detection Technology in Urban Complex Geological Environments by Xiaoqiang Liang, Da Hu, Yongsuo Li, Yunyi Zhang, Xian Yang

“…In the process of the continuous construction of underground pipelines, underground pipe network systems have become increasingly complex, which puts forward higher requirements for normal operation and maintenance. …”
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Electrochemical detection of furosemide and its removal from wastewater using adsorption method by Ayesha Qureshi, Afzal Shah, Abdul Haleem, Iltaf Shah

“…Addressing this challenge, the present work introduces a dual-function approach for the detection and elimination of the diuretic drug furosemide from pharmaceutical wastewater. …”
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An AI-Driven Model to Enhance Sustainability for the Detection of Cyber Threats in IoT Environments by Majid H. Alsulami

“…Min-max normalization is employed to pre-process the obtained raw information. The proposed model AF-WAdaBoost dynamically adjusts classifiers, enhancing accuracy and resilience against evolving threats. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Saad Ahmed Dheyab, Shaymaa Mohammed Abdulameer, Salama Mostafa

“…The principal component analysis (PCA) and the linear discriminant analysis (LDA) techniques perform the dimensionality reduction in individual and hybrid modes to process and improve the data. Subsequently, DDoS attack detection is performed based on random forest (RF) and decision tree (DT) algorithms. …”
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A fault detection and location algorithm for the LVDC interconnection network in rural area by Chengwei Liu, Joan Marc Rodriguez‐Bernuz, Di Liu, Saizhao Yang, Yitong Li, Qiteng Hong, Adrià Junyent‐Ferré

“…This process employs two strategies “weight check” and “scope check” to minimize the time and the number of actions. …”
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Early detection of risks in child development in Spanish-speaking countries: content validity by Luis Felipe Llanos, Luis Felipe Llanos, María Martínez de Anguita

“…IntroductionEarly detection of developmental disorders like ADHD, ASD, and LD is critical for improving educational outcomes and enabling timely interventions. …”
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In Situ Raman Spectroscopy for Early Corrosion Detection in Coated AA2024-T3 by Adrienne K. Delluva, Ronald L. Cook, Matt Peppel, Sami Diaz, Rhia M. Martin, Vinh T. Nguyen, Jeannine E. Elliott, Joshua R. Biller

“…Here we describe the synthesis and evaluation of a molecular corrosion sensor that can be applied in situ in aerospace coatings, then used to detect corrosion after the coating has been applied. …”
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PRNet: 3D Object Detection Network-Based on Point-Region Fusion by Yufei Fu, Yuhao Guo, Hui Hu

“…Object detection is a pivotal task in the realm of autonomous driving, where reliance on single-modality information often proves inadequate for high-precision detection tasks. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Wafer surface defect detection is a critical component in the chip manufacturing process. …”
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The impact of artificial intelligence on financial auditing: the case of Algeria by Amira Benachour, Ramzi Kaddai, Hanane Abdelmalek, Fella Bochelgoum, Lamine Tarhlissia

“…This allows for earlier and more accurate detection, thereby reducing the risk of major fraud. …”
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Automated Anomaly Detection and Causal Analysis for Civil Aviation Using QAR Data by Xin Dang, Congcong Hua, Chuitian Rong

“…In the causal analysis process, the Shapley additive interpretation method is applied to produce analysis report for detected anomalies. …”
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Reduced crowding and poor contour detection in schizophrenia are consistent with weak surround inhibition. by Valentina Robol, Marc S Tibber, Elaine J Anderson, Tracy Bobin, Patricia Carlin, Sukhwinder S Shergill, Steven C Dakin

“…<h4>Background</h4>Detection of visual contours (strings of small oriented elements) is markedly poor in schizophrenia. …”
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