Error Rate Analysis of Quantum-Annealing-Aided Multi-User Detection in Power-Domain Nonorthogonal Multiple Access by Kouki Yonaga, Kenichi Takizawa, Masaru Inaba

“…We present the error rate performance of quantum-annealing-aided multiuser detection (QA-aided MUD), a signal detection approach that combines quantum annealing (QA) with conventional iterative multiuser detection (MUD). …”
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Sensory Monitoring for Breakthrough Detection in Mobile Laser Cutting of Various Materials in the Context of Improvised Explosive Device Disposal by Emre Unal, Matthias Muhr, Dominik Wild, Cathrin Theiss, Moritz Schumacher, Gerhard Holl, Peter Kaul

“…This article presents the results of the development of a breakthrough detection system using an appropriate sensor technology. …”
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A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…With the growing volume and complexity of digital transactions, the traditional rule-based and shallow learning models often fall short in detecting sophisticated fraud patterns. This study addresses the challenge of accurately identifying fraudulent financial activities, especially in highly imbalanced datasets where fraud instances are rare and often masked by legitimate behavior. …”
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Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

“…Abstract UAV-based aerial imagery plays a vital role in detecting surface cracks in mining-induced areas for geological disaster early warning and safe production. …”
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Improving Presentation Attack Detection Classification Accuracy: Novel Approaches Incorporating Facial Expressions, Backdrops, and Data Augmentation by Tayyaba Riaz, Adeel Anjum, Madiha Haider Syed, Semeen Rehman

“…This study set out to elevate the detection capabilities of PAD systems by ingeniously integrating a teacher–student learning framework with cutting-edge PAD methodologies. …”
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Performance evaluation of hyper-parameter tuning automation in YOLOV8 and YOLO-NAS for corn leaf disease detection by Huzair Saputra, Kahlil Muchtar, Nidya Chitraningrum, Agus Andria, Alifya Febriana

“…This research utilized artificial intelligence (AI) technology to address this issue by automating the hyper-parameter tuning process in YOLO (You Only Look Once) object detection models for early corn leaf disease detection. …”
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Environmental surveillance of SARS-CoV-2 for outbreak detection in hospital: A single centre prospective study by Hania Siddiqui, Alexandra M.A. Hicks, Aaron Hinz, Prachi Ray, Jennie Johnstone, Derek R. MacFadden, Jason A. Moggridge, Michael Fralick

“…Conclusion: Floor swabs were provided to IPAC in almost real-time; however, delays in shipments in some instances led to delays in the results being made available. …”
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Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model by Mina Naguib, Junran Chen, Phillip Kollmeyer, Ali Emadi

“…Abstract Battery packs develop faults over time, many of which are difficult to detect early. For instance, cooling system blockages raises temperatures but may not trigger alerts until protection limits are exceeded. …”
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An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. by Yansong Liu, Shuang Wang, He Sui, Li Zhu

“…A challenge to many real-world data streams is imbalance with concept drift, which is one of the most critical tasks in anomaly detection. Learning nonstationary data streams for anomaly detection has been well studied in recent years. …”
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Low-Power Portable System for Power Grid Foreign Object Detection Based on the Lightweight Model of Improved YOLOv7 by Yonghuan He, Rong Wu, Chao Dang

“…Through the parallel module of segmentation and detection, the model completes instance segmentation while detecting, reducing the missed detection of object bounding boxes and increasing the attention to small objects. …”
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Non-Destructive Detection of Fillet Fish Quality Using MQ135 Gas Sensor and Neutrosophic Logic-Enhanced System by M. Y. Shams, M. R. Darwesh, Roheet Bhatnagar, N. S. A. Al-Sattary, A. A. Salama, M. S. Ghoname

“…Image processing techniques, including histogram analysis, color mapping, and edge detection, were also applied to assess fish quality. …”
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The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models by Markus Hadler, Alexander Ertl, Beate Klösch, Markus Reiter-Haas, Elisabeth Lex

“…Using sentiment analysis and frame detection models, we analyze a corpus of all available English-language news articles in LexisNexis, with the first recorded instance of a gluing protest appearing in 1986. …”
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Automatic Detection and 3D Modeling of City Furniture Objects using LiDAR and Imagery Mobile Mapping Data by H. Doi, A. Yarroudh, I. Jeddoub, R. Hajji, R. Billen

“…This study presents a comprehensive workflow from detection to Level of Detail 4 (LOD4) modeling, combining KPConv and multi-source data to enhance feature detection and classification for city furniture.…”
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SMS3D: 3D Synthetic Mushroom Scenes Dataset for 3D Object Detection and Pose Estimation by Abdollah Zakeri, Bikram Koirala, Jiming Kang, Venkatesh Balan, Weihang Zhu, Driss Benhaddou, Fatima A. Merchant

“…Our two-stage pose estimation pipeline combines 2D object detection and instance segmentation with a 3D point cloud-based pose estimation network using a Point Transformer. …”
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A text clarification and deep relational reasoning method for Mongolian-Chinese bilingual arbitrary-shaped scene text detection by Yuefeng Liu, Liuxu Ding, Yunong Liu

“…In response to the substantial differences in script structure between Mongolian and Chinese, we apply a boundary point offset strategy to refine candidate bounding boxes, ensuring complete text instance coverage for both languages. To address the issue of blurred text images, we introduce a ClearText module for image restoration, which enhances the visibility of fine textual details and facilitates more accurate detection. …”
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Complete reference genome and pangenome improve genome-wide detection and interpretation of DNA methylation using sequencing and array data by Zheng Dong, Joanne Whitehead, Maggie Fu, Julia L. MacIsaac, David H. Rehkopf, Luis Rosero-Bixby, Michael S. Kobor, Keegan Korthauer

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Collision Constraints and Diffeomorphisms: Dealing With Physics in Deformable Image Registration by Thomas Alscher, Jens Petersen, Francois Lauze, Kenny Erleben, Sune Darkner

“…Two prominent cases occur in 4DCT lung scans. The first instance exists at the lung-thorax-boundary, where due to high elasticities and expansion properties, lungs exhibit higher displacements than the surrounding thoracic cavity, leading to sliding motions along their interface. …”
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Early Detection of Alzheimer’s Disease: An Extensive Review of Advancements in Machine Learning Mechanisms Using an Ensemble and Deep Learning Technique by Renjith Prabhavathi Neelakandan, Ramesh Kandasamy, Balasubramani Subbiyan, Mariya Anto Bennet

“…The used dataset includes instances with missing values, which are effectively managed by employing appropriate imputation techniques. …”
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FED-GEM-CN: A federated dual-CNN architecture with contrastive cross-attention for maritime radar intrusion detection by Md. Alamgir Hossain

“…To enhance feature discriminability, a supervised contrastive learning paradigm is incorporated, while a gradient episodic memory (GEM) buffer strategically retains challenging instances to bolster model robustness against hard-to-detect intrusions. …”
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IMPLEMENTATION OF MAPPING-BASED MACHINE LEARNING ALGORITHM AS NON-STRUCTURAL DISASTER MITIGATION TO DETECT LANDSLIDE SUSCEPTIBILITY IN TAKARI DISTRICT by Sefri Imanuel Fallo, Lidia Paskalia Nipu

“…As portrayed in the visual representation provided, it becomes manifest that the Random Forest algorithm's prognostications yield 66 instances of cloudy atmospheric conditions, 48 occurrences of light precipitation, and 3 episodes of moderate rainfall. …”
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