On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity by Yen-Ming Chen, Wei-Lun Lin, Heng Lee, Tsung-Lin Chen

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A Survey on the Design, Detection, and Prevention of Pre-Silicon Hardware Trojans by Jonathan Cruz, Jason Hamlet

“…The complexity of the semiconductor design lifecycle and globalized manufacturing process creates concern over the threat of deliberate malicious alterations, or hardware Trojans, being inserted into microelectronic designs. …”
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Efficient and real-time lane detection using CUDA-based implementation by El Boussaki Hoda, Latif Rachid, Saddik Amine

“…Median filtering is an essential pre-processing step for reducing noise and improving lane detection accuracy. …”
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Background dictionary construction-based sparse representation hyperspectral target detection by Tao Yang, Lin Feipeng, Yang Wen, Weng Shan

“…Aiming at the existing target detection algorithms based on sparse representation, in the process of building the background dictionary with concentric double windows, the target pixels will interfere with the background dictionary. …”
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Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection by Alebachew Chiche, Million Meshesha

“…Therefore, security experts are recommended to integrate intrusion detection in their network and computer systems, not only for well-being of their computer systems but also for the sake of improving their working process.…”
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Automatic Roll-Profile Positioning Detection System Based on Contact Sensor by Jiali Zheng, Huagui Huang, Qiwei Hu

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Machine vision-based detection of key traits in shiitake mushroom caps by Jiuxiao Zhao, Jiuxiao Zhao, Wengang Zheng, Wengang Zheng, Yibo Wei, Yibo Wei, Qian Zhao, Qian Zhao, Jing Dong, Jing Dong, Xin Zhang, Xin Zhang, Mingfei Wang, Mingfei Wang

“…Firstly, an edge detection model was established. This model is called KL-Dexined. …”
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Improved Method of Detection Falsification Results the Digital Image in Conditions of Attacks by Kobozeva A.A., Grigorenko S.N.

“…The method is intended for clone detection areas and pre-image in terms of additional disturbing influences in the image after the cloning operation for "masking" of the results, which complicates the search process. …”
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Small parallel residual convolutional neural network and traffic congestion detection by Shan Jiang, Yuming Feng

“…Abstract In the development process of modern cities, traffic congestion has become an increasingly severe challenge. …”
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Detection of Attacks in Network Traffic with the Autoencoder-Based Unsupervised Learning Method by Yalçın Özkan

“…It is observed that supervised learning methods lead to difficulties and cost increases in the detection of cyber-attacks and the labeling process. …”
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Music Rhythm Detection Algorithm Based on Multipath Search and Cluster Analysis by Shuqing Ma

“…Music rhythm detection and tracking is an important part of the music comprehension system and visualization system. …”
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BN-SNN: Spiking neural networks with bistable neurons for object detection. by Siddiqui Muhammad Yasir, Hyun Kim

“…Additionally, the application of SNNs in object detection tasks remains largely under-explored. In this study, we propose a novel approach utilizing a bistable integrate-and-fire (BIF) neuron model integrated with a single-shot multibox detector (SSD) as the detection head. …”
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HTAD: a human-in-the-loop framework for supervised chromatin domain detection by Wei Shen, Ping Zhang, Yiwei Jiang, Hailin Tao, Zhike Zi, Li Li

“…HTAD begins with feature extraction for potential TAD border pairs, followed by an interactive labeling process through active learning. Performance assessments using public curation and synthetic datasets demonstrate HTAD’s superiority over other state-of-the-art methods and reveal highly hierarchical TAD structures, offering a human-in-the-loop solution for detecting complex genomic patterns.…”
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Comparison classification algorithms and the YOLO method for video analysis and object detection by Martin Magdin, Zoltán Balogh

“…Throughout the training process, was configured a total of 10 epochs, resulting in an accuracy of 94.79%. …”
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YOLOGX: an improved forest fire detection algorithm based on YOLOv8 by Caixiong Li, Yue Du, Xing Zhang, Peng Wu

“…Finally, the proposed Focal-SIoU loss function replaces the original loss function, effectively reducing directional errors by combining angle, distance, shape, and IoU losses, thus optimizing the model training process. YOLOGX was evaluated on the D-Fire dataset, achieving a mAP@0.5 of 80.92% and a detection speed of 115 FPS, surpassing most existing classical detection algorithms and specialized fire detection models. …”
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Lateral Change Detection of Ghezlozan River Channel from 1993 to 2013 by fariba Esfandiary Darabad, Masoud Rahimi, khodadad lotfy, ebadi elhameh

“…The channel duct was divided into 24 transects based on morphology and the process of change. The average migration rate of the Gezelozan River duct has been around 4.47 m / year over the past 20 years. …”
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Modeling of Preload Bolted Flange Connection Structure for Loosening Analysis and Detection by Weicheng Sun, Zhenqun Guan, Yan Chen, Jiacheng Pan, Yan Zeng

“…A fine hexahedral mesh model of the bolt is used to predict the dynamic response of the structure accurately. The tightening process, which is ignored in the traditional I-shaped simplified model of bolted flange connection structure, can be simulated well based on the proposed model. …”
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Target Detection Technology of Mechanical, Electrical, and Plumbing Components Based on CV by Guohua Wei, Ding Zhou, Xiaojun Yuan

“…The proposed architecture addresses the limitations of existing techniques in handling MEP complexities, and through an automatic comparison and verification process, it detects deviations promptly, ensuring adherence to design specifications. …”
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Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery by GUO Yan-ling, QIU Feng, LI Zhi-peng

“…In recent years, the number of large units accidents caused by torsional vibration is increasing. Therefore, how to detect torsional vibration has become a major focus in the machinery increasing.The process of torsional vibration of detection method can be divided into two steps: the measurement of torsional vibration signals and the extraction and analysis of torsional vibration signal. …”
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Deep learning for malignant lymph node segmentation and detection: a review by Wenxia Wu, Adrien Laville, Eric Deutsch, Roger Sun

“…This paper provides an in-depth review of the advancements in deep learning for malignant lymph node segmentation and detection. After a brief overview of deep learning methodologies, the review examines specific models and their outcomes for malignant lymph node segmentation and detection across five clinical sites: head and neck, upper extremity, chest, abdomen, and pelvis. …”
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