Unsupervised Detection of Suspicious Tissue Using Data Modeling and PCA by Ikhlas Abdel-Qader, Lixin Shen, Christina Jacobs, Fadi Abu Amara, Sarah Pashaie-Rad

“…Evaluation of the algorithm is based on the percentage of correct classification, false positive (FP) and false negative (FN) in all experimental work using real data. …”
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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

“…We calculated each algorithm's Accuracy, True Positive, False Positive, False Negative, True Negative, Precision, and Recall. …”
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Spatial-Temporal Correlative Fault Detection in Wireless Sensor Networks by Zhiping Kang, Honglin Yu, Qingyu Xiong, Haibo Hu

“…Experiments using a real dataset from the Intel Berkeley Research Laboratory showed that the algorithm can give a high level of accuracy and a low false alarm rate when detecting faults even when there are many faulty sensors.…”
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Calibration and uncertainty quantification for deep learning-based drought detection by Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls

“…To address this shortcoming, we introduce methodologies for model calibration and entropy-based uncertainty quantification for deep learning-based drought detection. The calibration algorithm can deal with calibration errors by reducing distributional shifts and alleviating overconfident predictions. …”
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Detecting phishing gangs via taint analysis on the Ethereum blockchain by Kangrui Huang, Weili Chen, Zibin Zheng

“…Based on this, we propose a heuristics algorithm for phishing gang detection. And we also summarize gang patterns and reveal money laundering in phishing activities. …”
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FDN: A Real-Time Ensemble Fire Detection Network by Dong Hwan Shin, Jang Mook Kang, Taesu Cheong

“…The proposed model effectively distinguishes between fog and clouds, similar to smoke, and light and sunlight, akin to a real fire using the Partial-Loss-Balanced Task Weighting (P-LBTW) algorithm we develop to reduce negative transfer by partially learning task-specific weights. …”
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Design of an Intelligent Pear Bagging End-Effector Based on Yolov8 and SGBM Algorithm by Jing Ruijun, Liu JingKai, LiXin, ZhiguoZhao

“…We describe an intelligent bagging end-effector for pears, which employs the Yolov8 algorithm for fruitlets detection and the Semi-Global Block Matching (SGBM) algorithm to acquire three-dimensional spatial information of the targets. …”
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Extracapsular extension risk assessment using an artificial intelligence prostate cancer mapping algorithm by Alan Priester, Sakina Mohammed Mota, Kyla P. Grunden, Joshua Shubert, Shannon Richardson, Anthony Sisk, Ely R. Felker, James Sayre, Leonard S. Marks, Shyam Natarajan, Wayne G. Brisbane

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THANTD: Triplet Hybrid Attention Network for Hyperspectral Target Detection by Ju Liu, Haoqian Wang, Xiangai Cheng, Zhongyang Xing, Zhongjie Xu

“…This structure captures both global spectral features and relationships between spectral channels. Utilizing a coarse detection and radiation transmission model for data augmentation, we introduce a method to construct positive and negative samples, enabling better selection of pure target and background samples, which simulates real-world spectral variations to support triplet network training. …”
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A Learning Probabilistic Boolean Network Model of a Smart Grid with Applications in System Maintenance by Pedro Juan Rivera Torres, Chen Chen, Jaime Macías-Aguayo, Sara Rodríguez González, Javier Prieto Tejedor, Orestes Llanes Santiago, Carlos Gershenson García, Samir Kanaan Izquierdo

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Enhancing seizure detection with hybrid XGBoost and recurrent neural networks by Santushti Santosh Betgeri, Madhu Shukla, Dinesh Kumar, Surbhi B. Khan, Muhammad Attique Khan, Nora A. Alkhaldi

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qHBsAg for the Identification of Liver Histological Abnormalities in HBeAg-Negative Chronic Hepatitis B Patients with Normal and Mildly Elevated ALT Levels by Qinyi Gan, Yan Huang, Chuanwu Zhu, Shuang Zhao, Haoshuang Fu, Minghao Cai, Jiexiao Wang, Chenxi Zhang, Simin Guo, Zhujun Cao, Qing Xie

“…Backgrounds. Noninvasive detection of histological abnormalities remains challenging in patients with HBeAg-negative chronic HBV infection with normal or mildly elevated levels of alanine aminotransferase (ALT). …”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Low-visibility haze environments, marked by their inherent low contrast and high brightness, present a formidable challenge to the precision and robustness of conventional object detection algorithms. This paper introduces an enhanced object detection framework for YOLOv9s tailored for low-visibility haze conditions, capitalizing on the merits of contrastive learning for optimizing local feature details, as well as the benefits of multiscale attention mechanisms and dynamic focusing mechanisms for achieving real-time global quality optimization. …”
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An update on multimodal imaging strategies for nipple discharge: from detection to decision by Mireia Pitarch, Rodrigo Alcantara, Laura Comerma, Ivonne Vázquez de Las Heras, Javier Azcona, Antonia Wiedemann, Maja Prutki, Eva Maria Fallenberg

“…With its high sensitivity and negative predictive value of almost 100%, a negative MRI can often obviate the need for surgery. …”
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Detection of sugar beet seed coating defects via deep learning by Abdullah Beyaz, Zülfi Saripinar

“…Using the YOLO algorithm, it is possible to detect and categorize coating defects on sugar beet seeds, thereby enhancing seed quality and production swiftly, and effectively. …”
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Detecting Anomalies in Sequences of Short Text Using Iterative Language Models by Cynthia Freeman, Ian Beaver, Abdullah Mueen

“…Unfortunately, anomaly detection is a challenging problem because of the subjective nature of what is defined as anomalous. …”
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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

“…A small negative trend between gestational age and accuracy was found. …”
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BCAST IDS: A Novel Network Intrusion Detection System for Broadcast Networks by Javier Gombao

“…Network Intrusion Detection Systems (NIDSs) play a pivotal role in cybersecurity by identifying malicious activities through network traffic information to safeguard network infrastructures and digital assets from disruptions and other negative consequences. …”
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Immune Infiltration of Ulcerative Colitis and Detection of the m6A Subtype by Chenzheng Gu, Junlu Wu, Wei Zhang, Yiwen Yao, Wenhui Yan, Yi Yuan, Weiwei Wang, Anquan Shang

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Augmented Reality for Learning Algorithms: Evaluation of Its Impact on Students’ Emotions Using Artificial Intelligence by Mónica Gómez-Ríos, Maximiliano Paredes-Velasco, J. Ángel Velázquez-Iturbide, Miguel Ángel Quiroz Martínez

“…This article inquires about the impact on students’ emotions of an augmented reality tool for learning Dijkstra’s algorithm. This investigation uses an artificial intelligence tool that detects emotions in real time through facial recognition. …”
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