A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

“…The objective of this work is to perform a comparative analysis of the most used methods based on a signal processing paradigm and in the context of fault detection and process diagnosis. …”
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A paradigm shift in the detection of bloodborne pathogens by Sonali Khanal, Manjusha Pillai, Deblina Biswas, Muhammad Torequl Islam, Rachna Verma, Kamil Kuca, Dinesh Kumar, Asim Najmi, Khalid Zoghebi, Asaad Khalid, Syam Mohan

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The New Paradigm of Deepfake Detection at the Text Level by Cosmina-Mihaela Rosca, Adrian Stancu, Emilian Marian Iovanovici

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Intrusion Detection Systems in Cloud Computing Paradigm: Analysis and Overview by Pooja Rana, Isha Batra, Arun Malik, Agbotiname Lucky Imoize, Yongsung Kim, Subhendu Kumar Pani, Nitin Goyal, Arun Kumar, Seungmin Rho

“…Cloud computing paradigm is growing rapidly, and it allows users to get services via the Internet as pay-per-use and it is convenient for developing, deploying, and accessing mobile applications. …”
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Social Network Analysis: A Novel Paradigm for Improving Community Detection by Rodrigo Hernández, Inmaculada Gutiérrez, Javier Castro

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Revisiting Fat Content in Bone Lesions: Paradigms in Bone Lesion Detection by Ali Shah, Neel R. Raja, Hasaam Uldin, Sonal Saran, Rajesh Botchu

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Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations by Sanaa Kaddoura, Shweta Vincent, D. Jude Hemanth

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Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm. by Afira Aslam, Syed Muhammad Usman, Muhammad Zubair, Amanullah Yasin, Muhammad Owais, Irfan Hussain

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Information Theory and Construction Methods of Complex Perception Systems by Jianjun GE, Siqi TANG, Mingqiang LI, Congying HAN, Tong WANG, Genjiu XU

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DCN-YOLO: A Small-Object Detection Paradigm for Remote Sensing Imagery Leveraging Dilated Convolutional Networks by Meilin Xie, Qiang Tang, Yuan Tian, Xubin Feng, Heng Shi, Wei Hao

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CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by Cryptojacking prevention Models by Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad

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Connecting Droplet Adhesion with Sperm Kinematics: A New Paradigm in Sperm Quality Monitoring by Sudip Shyam, Sirshendu Misra, Veronika Magdanz, Sushanta K Mitra

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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

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Examining auditory modulations on detecting and pooling visual global motion by Yi-Chuan Chen, Ang-Ke Ku, Pi-Chun Huang

“…In this study, we adopted the method of constant stimuli and the equivalent noise paradigm to investigate whether and how auditory motion influences the perception of visual global motion.MethodsThe visual stimuli consisted of dots moving either up-left or up-right, with motion directions sampled from a normal distribution at five levels of standard deviation. …”
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A novel paradigm for fast training data generation in asynchronous movement-based BCIs by Markus R. Crell, Kyriaki Kostoglou, Kathrin Sterk, Gernot R. Müller-Putz, Gernot R. Müller-Putz

“…To address this, we propose a novel experimental paradigm that enables the collection of 300 cued movement trials in 18 min.MethodsBy obtaining measurements from ten participants, we demonstrate that the data produced by this paradigm exhibits characteristics similar to those observed during self-paced movement.Results and discussionWe also show that classifiers trained on this data can be used to accurately detect executed movements with an average true positive rate of 31.8% at a maximum rate of 1.0 false positives per minute.…”
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Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms by Lal Hussain, Shahzad Ahmad Qureshi, Amjad Aldweesh, Jawad ur Rehman Pirzada, Faisal Mehmood Butt, Elsayed Tag eldin, Mushtaq Ali, Abdulmohsen Algarni, Muhammad Amin Nadim

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AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on a Cue-Masked Paradigm by Keren Shi, Xu Liu, Xue Yuan, Haijie Shang, Ruiting Dai, Hanbin Wang, Yunfa Fu, Ning Jiang, Jiayuan He

“…Decoding algorithms and experimental paradigm designs are crucial for the development of technology in practical applications. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The proposed method had superior performance in dense agricultural contexts while improving detection capabilities for pedestrian distribution patterns under complex farmland conditions, including variable lighting and mechanical occlusions. …”
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The influence of the paradigm of forensic science on law enforcement by Nikolay V. Karepanov

“…It shows the impact of scientific research on the needs of practice, the ambiguous nature of the preparation of practical recommendations, the complex path from basic forensic research to the integration of investigative methods in investigative practice.The purpose of the article is to confirm or disprove the hypothesis that changing the general forensic paradigms should lead to changes in the method of detecting and using traces of crimes in criminal proceedings.The methodology of the research includes analysis, synthesis, deduction as well as private scientific methods of forensics, in particular, the doctrine of traces. …”
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Leveraging pre-trained models within a semi-supervised and explainable AI RealTime framework: A pioneering paradigm for betel leaf disease detection by Md Tahsin, Maksura Binte Rabbani Nuha, Sumaiya Akter, Al Hossain, Mohammad Rifat Ahmmad Rashid, Raiha Ul Islam, Mohammad Shahadat Hossain

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