Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…Abstract The ever-growing number of complex cyber attacks requires the need for high-level intrusion detection systems (IDS). While the available research deals with traditional, hybrid, and ensemble methods for network data analysis, serious challenges are still being met in terms of producing robust and highly accurate detection systems. …”
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Evaluation of Automated Spread–F (SF) Detection over the Midlatitude Ionosphere by Krishnendu Sekhar Paul, Trisani Biswas, Haris Haralambous

“…The present study evaluates an automated Spread–F (<i>SF_P</i>) detection algorithm by integrating SF-related (QF, FF) and ionospheric parameters (hmF2, h’F), acting as an indicator for SF events, from SAO Explorer auto-scaled (ARTIST) data, compared to manually identified SF events (<i>SF_M</i>) across nine European midlatitude ionospheric stations. …”
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Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

“…Abstract This paper introduces a novel fuzzy deep convolutional neural network architecture for cucumber plant disease detection, contributing to precision farming in Industry 5.0. …”
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Detecting Changeover Events on Manufacturing Machines with Machine Learning and NC data by Bastian Engelmann, Anna-Maria Schmitt, Moritz Heusinger, Vladyslav Borysenko, Niklas Niedner, Jan Schmitt

“…The machine learning approach uses several algorithms to classify different phases of the changeover process. …”
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Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

“…To address the limitations of existing algorithms&#x2014;particularly their low efficiency in detecting small objects and poor accuracy in complex backgrounds&#x2014;we propose a defect detection model for transmission line components based on YOLOv5. …”
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Angle detection method for surface mount components based on weighted clustering by Chunfu ZHANG, Zhiqiang SONG

“…To validate the effectiveness of the proposed method, we conducted experimental tests on eight different types of chip packages and compared the results with those from two state-of-the-art line segment detection algorithms currently in use. The experimental results demonstrate that our method exhibits significant advantages in terms of both precision and robustness. …”
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EXIT Chart Analysis of Expectation Propagation-Based Iterative Detection and Decoding by Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi, Hideki Ochiai

“…This paper proposes a novel framework for extrinsic information transfer (EXIT) chart analysis to examine the convergence behavior of iterative detection and decoding (IDD) algorithms based on expectation propagation (EP), specifically addressing the extrinsic value exchange mechanism through moment matching (MM). …”
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An Automated Detection System for Microaneurysms That Is Effective across Different Racial Groups by George Michael Saleh, James Wawrzynski, Silvestro Caputo, Tunde Peto, Lutfiah Ismail Al Turk, Su Wang, Yin Hu, Lyndon Da Cruz, Phil Smith, Hongying Lilian Tang

“…We investigate the use of a novel automated DR detection algorithm to assess retinal DFIs for absence of DR. …”
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Detection of Access Point Spoofing in the Wi-Fi Fingerprinting Based Positioning by Juraj Machaj, Clément Safon, Slavomír Matúška, Peter Brída

“…In this paper filtering algorithms are proposed to minimize the impact of access point spoofing. …”
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Cross-Domain Fake Review Detection via Orthogonal Counterfactual Representations by Richa Gupta, Vinita Jindal, Indu Kashyap

“…For this, a novel framework, COAT, that trains on Counterfactuals generated by the Orthogonal Alignment of BER T-driven mask infillings for cross-domain fake review detection has been proposed in the paper. Working of the proposed COAT is divided in three phases: 1) two-step masking to remove source-specific cues, 2) counterfactual generation using BERT, followed by orthogonal alignment via Procrustes algorithm, and 3) training and prediction using a Bi-LSTM classifier in a zero-shot setting. …”
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Lightweight Detection of Train Underframe Bolts Based on SFCA-YOLOv8s by Zixiao Li, Jinjin Li, Chuanlong Zhang, Huajun Dong

“…Even in the absence of sufficient real underframe bolt images, the algorithm enables the trained network to better adapt to real environments, improving bolt recognition accuracy and detection speed, thus providing technical references and theoretical support for subsequent related research.…”
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Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…To address this issue, this paper proposes an improved steel surface defect detection algorithm based on YOLOv9. First, introducing Depthwise Separable Convolution (DSConv) can effectively reduce the computational complexity of the model, thereby enhancing its operational efficiency. …”
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Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease by Ivar R. deVries, Judith O. E. H. vanLaar, Marieke B. van der Hout‐van der Jagt, Sally‐Ann B. Clur, Rik Vullings

“…Abstract Introduction This study aims to investigate non‐invasive electrocardiography as a method for the detection of congenital heart disease (CHD) with the help of artificial intelligence. …”
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Cost Effective Surface Disruption Detection System for Paved and Unpaved Roads by Mumbere Muyisa Forrest, Zhigang Chen, Shahzad Hassan, Ian Osolo Raymond, Karim Alinani

“…A delay in maintenance results in severe road damage that blocks the traffic for several days. Up to now, RSD detection on unpaved roads is done manually or reported by drivers. …”
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Developing an AI-based application for caries index detection on intraoral photographs by Niha Adnan, Syed Muhammad Faizan Ahmed, Jai Kumar Das, Sehrish Aijaz, Rashna Hoshang Sukhia, Zahra Hoodbhoy, Fahad Umer

“…The study concludes that the YOLOv5s algorithm effectively detects dental decay on intraoral photographs and performs comparably to junior dentists. …”
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Leak detection and localization in water distribution systems via multilayer networks by Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, Bruno Brentan

“…The classification values are then analyzed by the z-score and interquartile range algorithms to detect anomalies. The localization process uses a multi-graph approach that combines sensor data and network topology to determine the sensor coverage area. …”
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Floating Neutral Detection Using Actual Generation of Form 2S Meters by I. Vicente, A. Arrinda, J. E. Rodriguez-Seco, L. Piyasinghe

“…The proposed novel detector approach shows zero false alarms in the houses tested and a detection time that allows the fault to be detected before significant damage occurs to the house.…”
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Out-of-Distribution Node Detection Based on Graph Heat Kernel Diffusion by Fangfang Li, Yangshuai Wang, Xinyu Du, Xiaohua Li, Ge Yu

“…This paper introduces graph diffusion to the OOD detection task for the first time, proposing the HOOD model, a graph diffusion-based OOD node detection algorithm. …”
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Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…This paper proposed a parameter compression algorithm based on low-rank decomposition for the You Only Look Once (YOLO) series of object detection models, aiming to overcome the limited versatility of current lightweight treatment methods for these models. …”
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Design and Implementation of a CMOS-MEMS Out-of-Plane Detection Gyroscope by Huimin Tian, Zihan Zhang, Li Liu, Wenqiang Wei, Huiliang Cao

“…This paper presents the design, simulation and fabrication of a Y-axis gyroscope with out-of-plane detection developed using CMOS-MEMS technology. The structural dimensions of the gyroscope were optimized through a multi-objective genetic algorithm, and modal, harmonic response and range simulation analyses were carried out to verify the reasonableness of the design. …”
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