Automatic detection of trapping events of postnatal piglets in loose housing pen: comparison of YOLO versions 4, 5, and 8 by Taeyong Yun, Jinsul Kim, Jinhyeon Yun, Tai-Won Um

Subjects: “…Deep learning object-detection algorithm…”
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Classification of Fritillaria thunbergii appearance quality based on machine vision and machine learning technology by DONG Chengye, LI Dongfang, FENG Huaiqu, LONG Sifang, XI Te, ZHOU Qin’an, WANG Jun

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Secure Quantum Communication With Multi-Users in Quantum Networks by As'Ad Mahmoud As'Ad Alnaser, Hazem Moh'D Said Hatamleh, Nawaf Abdualziz Almolhis, Salahaldeen Duraibi, Yahya Alqahtani

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Optimization of Coronary Sinus Pacing Site Based on Cardiac Contractility Detected by a Right Atrial Lead–Embedded Accelerometer by Kosuke Muto, Yoshifumi Ikeda, Hitoshi Mori, Ritsushi Kato

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An intelligent object detection and classification framework for assisting visually challenged persons using deep learning and improved crow search optimization by Alaa O. Khadidos, Ayman Yafoz

Subjects: “…Object detection…”
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An Integrated Framework for Supplementing Online Water Quality Monitoring in the Detection of Contamination Events in Water Distribution Networks by Camilo Salcedo, Dominic L. Boccelli

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Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta-analysis by Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

“…Machine learning (ML) algorithms have been used to accurately identify cephalometric landmarks and detect irregularities related to orthodontics and dentistry. …”
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Development of a novel sustainable, portable, fast, and non-invasive platform based on ATR-FTIR technology coupled with machine learning algorithms for Helicobacter pylori detection in human saliva by Ghabriel Honório-Silva, Marco Guevara-Vega, Nagela Bernadelli Sousa Silva, Marcelo Augusto Garcia-Júnior, Deborah Cristina Teixeira Alves, Luiz Ricardo Goulart, Mario Machado Martins, André Luiz Oliveira, Rui Miguel Pinheiro Vitorino, Thulio Marquez Cunha, Carlos Henrique Gomes Martins, Murillo Guimarães Carneiro, Robinson Sabino-Silva

“…The obtained spectra were applied to Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) algorithms to perform the H. pylori detection. The results indicate that the method was highly accurate between 108 - 105 CFU/mL, achieving an accuracy of 89 % for 108 CFU/mL, 93 % for 107 CFU/mL, 94 % for 106 CFU/mL, and 85 % for 105 CFU/mL with SVM algorithm. …”
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Applying Quran Security and Hamming CodesFor Preventing of Text Modification by Baghdad Science Journal

Subjects: “…Security systems, Hamming Codes, Error detection and correction, Encryption algorithms, public key encryption, RSA Encryption Algorithm…”
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MDM-TDM PON Utilizing Self-Coherent Detection-Based OLT and RSOA-Based ONU for High Power Budget by Yuanxiang Chen, Juhao Li, Peng Zhou, Paikun Zhu, Yu Tian, Zhongying Wu, Jinglong Zhu, Ke Liu, Dawei Ge, Jingbiao Chen, Yongqi He, Zhangyuan Chen

“…A novel dual-modulus algorithm is proposed for OOK signal detection at the OLT. …”
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The Use of NIR Spectroscopy and Chemometrics to Identify the Thermal Treatment of Milk in Fiore Sardo PDO Cheese to Detect Fraud by Marco Caredda, Alessio Silvio Dedola, Massimo Pes, Margherita Addis

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Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks by Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho

“…Computer-aided diagnosis (CAD) systems have significantly improved early cancer detection, but limitations such as high-dimensional feature sets and overfitting issues persist. …”
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

Subjects: “…Intrusion detection systems…”
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Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects by Dongjie Zheng, Xing Wang, Lingling Yang, Yunqi Li, Hui Xia, Haochuan Zhang, Xiaomei Xiang

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Integrating user demographic parameters for mouse behavioral biometric-based assessment fraud detection in online education platforms by Aditya Subash, Insu Song, Ickjai Lee, Kyungmi Lee

Subjects: “…Online assessment fraud detection…”
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Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application by Murat Demir

“…Accuracies of 96.66% for the iris plant dataset, 92% for the Wisconsin breast cancer dataset, and 95% for the occupancy detection dataset were obtained.…”
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PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding by Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn

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Detection Method for Islanded Microgrid Based on the Local Detection Method by Zhongqiang LIU, Zhongfu LIU

“…Based on the detailed analysis of the classic detection algorithm, this paper summarized the improved detection algorithm based on electrical quantities, including frequency, phase, harmonics and impedance. …”
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An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets by Ahmad Salehiyan, Pardis Sadatian Moghaddam, Masoud Kaveh

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Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection by Jayakumar Kaliappan, Revathi Thiagarajan, Karpagam Sundararajan

“…This paper is designed on the idea that each IDS is efficient in detecting a specific type of attack. In proposed Multiple IDS Unit (MIU), there are five IDS units, and each IDS follows a unique algorithm to detect attacks. …”
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