Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…The Case Western Reserve University (CWRU) bearing data set identifies abnormalities in machinery bearings. …”
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FPGA-oriented lightweight multi-modal free-space detection network by Feiyi Fang, Junzhu Mao, Wei Yu, Jianfeng Lu

“…It comprises operators that FPGA prefers and achieves a $ 95.54\% $ MaxF score on the test set of KITTI-Road free-space detection tasks and 81 ms runtime when running on 700 W GPU devices. …”
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Mine underground object detection algorithm based on TTFNet and anchor-free by Song Zhen, Qing Xuwen, Zhou Meng, Men Yuting

“…First, CenterNet and TTFNet algorithms are introduced, then pooling is introduced into CSPNet basic structure to design a lightweight feature extraction network, at the same time optimizing the feature fusion way in the original algorithm, optimizing residual shrinkage network structure, and introducing it into object detection task. Experiments were conducted on the established underground data set. …”
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Pulscan: Binary Pulsar Detection Using Unmatched Filters on NVIDIA GPUs by Jack White, Karel Adámek, Jayanta Roy, Scott M. Ransom, Wesley Armour

“…The Fourier domain acceleration search (FDAS) and Fourier domain jerk search (FDJS) are proven matched-filtering techniques for detecting binary pulsar signatures in time-domain radio astronomy data sets. …”
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DRPM: An advanced predictive model for early diabetes detection and risk stratification by Fulei Nie, Xiaoming Song, Wei Chen

“…In this study, we developed a deep learning-based risk prediction model using data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2011 to 2018. …”
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SWMD-YOLO: A Lightweight Model for Tomato Detection in Greenhouse Environments by Quan Wang, Ye Hua, Qiongdan Lou, Xi Kan

“…Experiments on greenhouse tomato data sets demonstrate that SWMD-YOLO achieves 93.47% mAP50 with a detection speed of 75.68 FPS, outperforming baseline models in accuracy while reducing parameters by 18.9%. …”
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Real-Time Fire Object Detection System Using Machine Learning by Akuthota Venkata Bhargavi., Syed Khadar Basha., Ramineni Dhanush., Guduru Vikram.

“…Future research will be the integration of the system into real-time surveillance systems and exploring added sensory data to increase the detection capabilities.…”
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Detecting Simulated Nosocomial Disease Outbreaks with Sequential Monte Carlo Methods by Dr Conor Rosato

“…Discussion: The proposed algorithm successfully detects outbreaks in a timely manner. A drawback of the scenarios considered is that the algorithm runs on synthetic data. …”
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A public benchmark for human performance in the detection of focal cortical dysplasia by Lennart Walger, Matthias H. Schmitz, Tobias Bauer, David Kügler, Fabiane Schuch, Christophe Arendt, Tobias Baumgartner, Johannes Birkenheier, Valeri Borger, Christoph Endler, Franziska Grau, Christian Immanuel, Markus Kölle, Patrick Kupczyk, Asadeh Lakghomi, Sarah Mackert, Elisabeth Neuhaus, Julia Nordsiek, Anna‐Maria Odenthal, Karmele Olaciregui Dague, Laura Ostermann, Jan Pukropski, Attila Racz, Klaus von derRopp, Frederic Carsten Schmeel, Felix Schrader, Aileen Sitter, Alexander Unruh‐Pinheiro, Marilia Voigt, Martin Vychopen, Philip vonWedel, Randi vonWrede, Ulrike Attenberger, Hartmut Vatter, Alexandra Philipsen, Albert Becker, Martin Reuter, Elke Hattingen, Alexander Radbruch, Rainer Surges, Theodor Rüber

“…Additionally, it defines a subset of this data as a “difficult” test set to establish a public baseline benchmark against which new methods for automated FCD detection can be evaluated. …”
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A software pipeline for systematizing machine learning of speech data by Jimuel Celeste, Mashrura Tasnim, Amable J. Valdés Cuervo, Enrique A. de la Cal, Eleni Stroulia

“…The machine-learning community has a long-established practice of sharing data sets so that researchers can report the performance of their models on the same data. …”
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Ensuring the basic rights in fighting against corruption using Big Data in the People’s Republic of China: the main laws, risks and paths by R. Hu

“…Objective: to analyze the observance of fundamental rights in fighting corruption using Big Data in China.Methods: dialectical approach to the cognition of social phenomena, which allows analyzing them in their historical development and functioning in the context of a set of objective and subjective factors, which determined the choice of the following research methods: formal-logical, comparative-legal, and sociological.Results: following the rapid development of information technologies, Big Data has become a sharp sword of the Chinese regulatory authorities fighting corruption. …”
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PCB defect detection based on pseudo-inverse transformation and YOLOv5. by Xiaoli Wang, Siti Sarah Maidin, Malathy Batumalay

“…The average detection accuracy of six types of defects in the self-made PCB data set was over 98.52%, and the average detection accuracy was as high as 99.1%. …”
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Target Detection Using Nonsingular Approximations for a Singular Covariance Matrix by Nir Gorelik, Dan Blumberg, Stanley R. Rotman, Dirk Borghys

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Educational Data Mining by Optimally Fusing Shallow and Deep Features by Bo-An Xiao

“…The conclusive product is a flat semantic description that effectively detects copying and objection. Experiments are performed on a generic dataset, and we use the old-fashioned manual birth method and two well-known data sets VGG16 and fine-tune AlexNet.…”
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Detection of surface defects on conveyor belts based on adversarial repair networks by YANG Zelin, YANG Liqing, HAO Bin

“…In response to the challenges of acquiring and labeling defect data on conveyor belts, as well as the low accuracy of deep learning-based conveyor belt defect detection methods due to unstable factors and data fluctuations in working environments, this study proposed a surface defect detection model based on adversarial repair networks. …”
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Recognition of Handwritten Characters in Birch-Bark Manuscripts via Object Detection by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…This study adapts the YOLO-based object detection framework for detection and recognition of handwritten characters in digital photographs of Novgorod birch-bark fragments. …”
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A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…In this setting, one server handles the data encryption between the meter and control center/central database, and the other server administers the random sequence of data transmission. …”
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Radiographic detection of welding defects based on neural ordinary differential equations by Wenyong WU, Hongyu CHENG, Qican ZHANG

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Evaluation of Artificial Intelligence Effectiveness in Detection of Lumbosacral Spine Degenerative Diseases by N. В. Nudnov, A. V. Korobov, А. А. Skachkov, T. V. Kulneva, V. V. Sherstoboev, L. А. Titova, A. S. Rusakov, V. V. Tumko, R. S. Sarbaev, N. А. Uspenskaya, E. А. Andrienko, M. Е. Ivannikov

“…Objective: comparative evaluation of output data of a set of trained convolutional neural network (CNN) models and interpretation of pathological changes in lumbar spine by radiologists during magnetic resonance imaging.Material and methods. …”
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A comprehensive survey on IoT attacks: Taxonomy, detection mechanisms and challenges by Tinshu Sasi, Arash Habibi Lashkari, Rongxing Lu, Pulei Xiong, Shahrear Iqbal

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