Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…The automated detection and classification of immature macauba (<i>Acrocomia aculeata</i>) fruits is critical for improving post-harvest processing and quality control. …”
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Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

“…A key step to optimize the tests of semiconductors during the production process is to improve the prediction of the final yield from the defects detected on the wafers during the production process. …”
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Defect detection in EBSM components through selective box fusion of modern object detection by Rui Han, Chenwei Wang, Yuzhong Wang, Yihui Zhang, Wenhua Guo, Yanyang Zi, Jiyuan Zhao

“…However, various defects, especially internal defects that inevitably arise during the manufacturing process, significantly limit the performance of EBSM parts. …”
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On-site trace detection of explosives: From ultra-sensitive SERS to integrated detection technology by Zi-han Wang, Wei Liu, Yu Dai, Zhong-ping Liu, Meng-dan Ma, Sheng Cui, Xuan He, Yu Liu

“…The report subsequently introduces cutting-edge integration techniques that are compatible with SERS, such as portable Raman instruments, on-site wipeable sampling technology and microfluidic devices, all of which are major advances in promoting on-site high-throughput explosives detection programs. In conclusion, this report synthesizes the outcomes attained and delineates prospective directions for future research in the field of SERS explosives detection.…”
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Invariant Processing of Multifrequency Signals by D. I. Popov

“…The multifrequency signal processing algorithm that is invariant to the values of Doppler phase components of multifrequency signals have been synthesized. …”
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Histological Fixation Process and Fixatives by Tuğba Dağdeviren, Hatice Kübra Yolcu, Bülent Ünver

“…Fixation is the basic and first step in the microscopic examination of tissues. The histotechnical process, which includes components such as detection, tissue tracking and staining, basically aims to capture and visualize the state of the relationships between tissue parts inside and outside the cell and various cells at a certain time as close as possible to the living state. …”
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A Distinctive Detective Novel: The Deconstruction of Classic Detective Fiction in Haberci Çocuk Cinayetleri by Merve Esra Özgürbüz

“…Taking action from here and transforming the schematic fiction of the genre by repeating it, Mağden reveals and deconstructs the hierarchical process, violating the classic genre and expanding the boundaries of the detective.…”
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Electromagnetic target detection model for unmanned aerial vehicle platforms based on Bayesian detection by DENG Wenjie, CHEN Song, WU Di, LIU Kaiyue, XU Ziliang, HE Runze

“…Analytical and simulation results indicate that the proposed model effectively describes the process of electromagnetic target detection. In coverage search tasks, when the unmanned aerial vehicle is equipped with the KSHA-BJ32-10-NH antenna, the new model has a shorter range compared to the Boolean perception model, and the advantage of the new model becomes more pronounced as the search area expands. …”
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Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection by Farhat Lamia Barsha, William Eberle

“…Our ap- proach utilizes a wide range of measures, such as Gener- ator and Discriminator Loss, Wasserstein Distance, pre- cision, recall, and visualization tools, to provide a com- prehensive framework for detecting mode collapse. In addition, we introduce an alert mechanism that identi- fies possible mode collapse at an early stage, allowing for earlier intervention and modifications to the training process. …”
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Deep learning-based automated defect classification for powder bed fusion – Laser beam by Natalie Kunkel, Daniel Thölken, Klaus Behler

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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…In this paper, a novel and robust deep spatio-textural acoustic feature ensemble-assisted learning environment is proposed for violence detection in surveillance videos (DestaVNet). As the name indicates, the proposed DestaVNet model exploits visual and acoustic features to perform violence detection. …”
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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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Machine learning based intrusion detection framework for detecting security attacks in internet of things by V. Kantharaju, H. Suresh, M. Niranjanamurthy, Syed Immamul Ansarullah, Farhan Amin, Amerah Alabrah

“…Then, the data are fed to pre-processing. In pre-processing, it restored the missing value using Local least squares. …”
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Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images by Lekha S. Nair, K. R. Amarnath, Jyothisha J. Nair

“…The extracted features are then processed by a Conformer block, which further refines them by emphasizing the most relevant regions in the input feature map. …”
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What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets. by Linrui Zhang, Qixiang Pang, Belinda Copus

“…In recent years, large-scale language models (LLMs) have nearly become the dominant force in almost every natural language processing (NLP) task. The primary research approach has focused on selecting the most appropriate language model for specific NLP tasks and then incorporating linguistic features to enhance the model’s performance. …”
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Enhancing Real-Time Detection Transformer (RT-DETR) for Handgun Detection on Nvidia Jetson by Luis Bustamante, Juan C. Gutiérrez

“…In response to the growing demand for effective firearm detec- tion systems in public safety applications, this paper explores advancements in real- time object detection using Transformer-based models. Building on the RT-DETR architecture and its latest version, RT-DETR v2, we introduce improvements such as the Bidirectional Feature Pyramid Network (BiFPN) for enhanced small object de- tection and dynamic batch processing to maximize computational efficiency and re- source utilization on edge devices like the Nvidia Jetson AGX Xavier for efficient real- time deployment. …”
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Multi-Frame Joint Detection Approach for Foreign Object Detection in Large-Volume Parenterals by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…Current methods for detecting foreign particles in LVP solutions through image analysis primarily rely on single-frame detection or simple temporal smoothing strategies, which fail to effectively utilize spatiotemporal correlations across multiple frames. …”
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Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network by Hang Thi Phuong Nguyen, Hieyong Jeong

“…This study proposes a non-invasive methodology for detecting nail-fold capillary morphology by integrating an object detection model for improvement within a deep learning framework. …”
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An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems by Hadi M. R. Al Lawati, Anazida Zainal, Bander Ali Saleh Al-Rimy, Mohammad Al-Azawi, Mohamad Nizam Kassim, Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi

“…The findings show that the framework can adjust to changing patterns of fraud, reduce false positives, and enhance detection performance. These insights demonstrate the significance of dynamic pre-processing and drift-aware approaches in the context of real-time fraud detection. …”
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures. …”
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