Three-Dimensional Outdoor Object Detection in Quadrupedal Robots for Surveillance Navigations by Muhammad Hassan Tanveer, Zainab Fatima, Hira Mariam, Tanazzah Rehman, Razvan Cristian Voicu

“…This paper introduces a pioneering method for 3D object detection, termed viewpoint feature histograms, which leverages the established paradigm of 2D detection in projection. …”
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Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects by Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi

“…We conducted a systematic literature review of deepfake detection to offer an updated overview of existing research work that initially describes the widely accessible deepfake generation tools, classifications, and detection process. …”
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Benchmark Dataset for AI-Driven Palm Tree Detection and Analysis in the UAE by M. Al-Saad, N. Aburaed, M. Q. Alkhatib, M. S. Zitouni, S. Almansoori, H. Al-Ahmad

“…Automated detection and counting of palm trees is a significant area of research for numerous countries, including the UAE. …”
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An Efficient Printing Defect Detection Based on YOLOv5-DCN-LSK by Jie Liu, Zelong Cai, Kuanfang He, Chengqiang Huang, Xianxin Lin, Zhenyong Liu, Zhicong Li, Minsheng Chen

“…During the production process of inkjet printing labels, printing defects can occur, affecting the readability of product information. …”
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Automated Aneurysm Boundary Detection and Volume Estimation Using Deep Learning by Alireza Bagheri Rajeoni, Breanna Pederson, Susan M. Lessner, Homayoun Valafar

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Dual Transformers With Latent Amplification for Multivariate Time Series Anomaly Detection by Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim

“…Anomaly detection in multivariate time series is crucial for applications such as industrial monitoring, cybersecurity, and healthcare. …”
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Lightweight defect detection algorithm of tunnel lining based on knowledge distillation by Anfu Zhu, Jiaxiao Xie, Bin Wang, Heng Guo, Zilong Guo, Jie Wang, Lei Xu, SiXin Zhu, Zhanping Yang

“…Secondly, in the distillation process, the feature and output dimension results are fused to improve the detection accuracy, and the mask feature relationship is learned in the space and channel dimension to improve the real-time detection. …”
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SeagrassFinder: Deep learning for eelgrass detection and coverage estimation in the wild by Jannik Elsäßer, Laura Weihl, Veronika Cheplygina, Lisbeth Tangaa Nielsen

“…This work explores the use of deep learning models to automate the process of seagrass detection and coverage estimation from underwater video data. …”
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Bacterial network for precise plant stress detection and enhanced crop resilience by Shakeel Ahmed, Syed Muhammad Zaigham Abbas Naqvi, Muhammad Awais, Yongzhe Ren, Hao Zhang, Junfeng Wu, Linze Li, Vijaya Raghavan, Jiandong Hu

“…Simulations investigate the detection time for ABA, bacterial diffusion within plant roots, advection effects through shoots, and chemotaxis in response to attractant gradients in leaves. …”
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PS-YOLO: A Lighter and Faster Network for UAV Object Detection by Han Zhong, Yan Zhang, Zhiguang Shi, Yu Zhang, Liang Zhao

“…This increases the likelihood of false positives and missed detections, thereby complicating the detection process. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…This integration simplifies the model by reducing the number of parameters needing adjustment, making it particularly effective for handling imbalanced datasets through an efficient training process; 2) Theoretical analysis demonstrates that ImAUC-PSVM retains the same structural solution as standard PSVM. …”
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Gene fusion detection in long-read transcriptome sequencing data with GFvoter by Xiaolan Zhao, Zitong Ren, Junhai Qi, Enfeng Qi, Xiaoyu Zhao, Guojun Li, Ting Yu

“…GFvoter calls two RNA-seq aligners, two fusion detection tools, and a newly designed scoring mechanism to conduct the so-called voting process in turn, which enables the accurate detection of potential fusions. …”
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Immunosensor Enhanced with Silver Nanocrystals for On-Chip Prostate-Specific Antigen Detection by Timothy A. Okhai, Kefilwe V. Mokwebo, Marlon Oranzie, Usisipho Feleni, Lukas W. Snyman

“…Each stage of the fabrication process was characterized by cyclic voltammetry (CV). …”
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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

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CONCEPTUAL APPROACHES TO THE RAPID DETECTION OF CAMPYLOBACTER SPP. IN MEAT OF SLAUGHTER ANIMALS by D. S. Bataeva, M. Yu. Minaev, Yu. K. Yushina, O. V. Sokolova, E. V. Zajko

“…However, Bolton’s enrichment medium is selective and, during the cultivation process, suppresses the growth of Gram-positive lactic acid bacteria. …”
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Study on Lightweight Bridge Crack Detection Algorithm Based on YOLO11 by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

“…Furthermore, a lightweight detection head (LDH) is introduced to process feature information from different channels using efficient grouped convolutions. …”
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Utilize Data Augmentation and Flexi Corner Block for Road Damage Detection by Zhaohui Wu, Runjing Zhao, Xingliang Sun, Zhaojia Li

“…This process typically involves detecting irregularities on the road surface, such as cracks and potholes, from images. …”
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Lightweight Pepper Disease Detection Based on Improved YOLOv8n by Yuzhu Wu, Junjie Huang, Siji Wang, Yujian Bao, Yizhe Wang, Jia Song, Wenwu Liu

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Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection by Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang

“…First, the majority of multiobjective BS methods predominantly optimize accuracy in classification tasks, neglecting the emphasis on anomaly detection. Second, in the process of addressing the combinatorial optimization problem of multiobjective BS using evolutionary algorithms, insufficient consideration is given to the impact of bands on the recognition capability of an anomaly when devising solution strategies and determining optimal solutions. …”
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Detection of Seed Potato Sprouts Based on Improved YOLOv8 Algorithm by Yufei Li, Qinghe Zhao, Zifang Zhang, Jinlong Liu, Junlong Fang

“…A fast and efficient object recognition algorithm is required for the additional removal process to identify unqualified seed potatoes. In this paper, a lightweight deep learning algorithm, YOLOv8_EBG, is proposed to both improve the detection performance and reduce the model parameters. …”
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