YOLO11-Driven Deep Learning Approach for Enhanced Detection and Visualization of Wrist Fractures in X-Ray Images by Mubashar Tariq, Kiho Choi

“…This study explores how AI-driven approaches are used to enhance fracture detection and improve diagnostic accuracy. In this paper, we propose the latest version of YOLO (i.e., YOLO11) with an attention module, designed to refine detection correctness. …”
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Enhanced multi-scale detection of olive tree crowns in UAV orthophotos using a deep learning architecture by Youness Hnida, Mohamed Adnane Mahraz, Ali Yahyaouy, Ali Achebour, Jamal Riffi, Hamid Tairi

“…Our approach is based on an innovative architecture that incorporates a Cross Stage Partial Network (CSPNet) combined with a Feature Pyramid Network (FPN) and Path Aggregation Network (PAN), augmented by DropBlock regularization. Our architecture is tailored for multi-scale object detection from UAV-captured imagery, addressing issues such as small object detection, complex backgrounds, object rotation, scale variations, and category imbalances in both simple imagery and high-resolution orthophotos. …”
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YOLO-LSD: A Lightweight Object Detection Model for Small Targets at Long Distances to Secure Pedestrian Safety by Ming-An Chung, Sung-Yun Chai, Ming-Chun Hsieh, Chia-Wei Lin, Kai-Xiang Chen, Shang-Jui Huang, Jun-Hao Zhang

“…This study proposes an improved lightweight object detection model, You Only Look Once – Long-distance Small-target Detection (YOLO-LSD), designed for the long-range recognition of small objects in intelligent transportation applications. …”
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Detection of bovine leukemia virus, Epstein-Barr virus and human papillomavirus in breast cancer tissues of Egyptian patients by May Raouf, Salwa Kamal, Rawan Elsayed, Inass Zaki, Dina Kholeif

“…BLV, EBV and HPV were detected in (22.7% vs. 16%, 14.7% vs. 8%, 6.7% vs. 0%) BC vs. non-BC tissues respectively with HR HPV 16 detection. …”
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Enhanced deep learning model for apple detection, localization, and counting in complex orchards for robotic arm-based harvesting by Tantan Jin, Xiongzhe Han, Pingan Wang, Zhao Zhang, Jie Guo, Fan Ding

“…Specifically, an optimized You Only Look Once (YOLO) v8n model was developed by integrating a dilation-wise residual–dilated re-parameterization block module, a generalized feature pyramid network, and the Scylla Intersection-over-Union loss function. …”
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Utilizing saliva for non-invasive detection of exercise-induced myocardial injury with point-of-care cardiac troponin-I by Aleksandr N. Ovchinnikov

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Measurement report: Rocket-borne measurements of large ions in the mesosphere and lower thermosphere – detection of meteor smoke particles by J. Stude, J. Stude, H. Aufmhoff, H. Schlager, M. Rapp, M. Rapp, C. Baumann, F. Arnold, B. Strelnikov

“…While at altitudes below 85 km we observed negatively charged particles of up to several thousands of atomic mass units, above this altitude we found possible building blocks of these large particles that form right after their ablation from the parent meteorite material. …”
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BiVO₄-Based Photoelectrochemical Sensors for the Detection of Diclofenac: The Role of Doping, Electrolytes and Applied Potentials by Milda Petruleviciene, Irena Savickaja, Jelena Kovger-Jarosevic, Monika Skruodiene, Jurga Juodkazyte, Simonas Ramanavicius, Arunas Ramanavicius

“…This study presents the findings of an investigation into the characteristics and capabilities of BiVO₄ and Mo-doped BiVO₄ coatings for the detection of diclofenac (DCF). In this study, a neutral sodium sulfate electrolyte and an alkaline sodium borate buffer were selected, and a range of potentials were employed to ascertain the impact of diverse conditions on the sensing performance of diclofenac. …”
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Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

“…The probability of an unfavorable outcome based on the constructed classification tree was higher than the average in the analyzed sample in persons without CS, 2-3 degree atrioventricular blocks, and pulmonary edema, but with right bundle branch block on the electrocardiogram (25.0%) and in persons without CS and atrioventricular blockages of 2-3 degrees, but with pulmonary edema and a Q wave on the electrocardiogram (50.0%). …”
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Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

“…Specifically, these include the data-efficient model, which deepens the hierarchical encoder by adding convolution layers to transformer blocks and increases feature map resolution within transformer blocks, and the FPN-based model, which enhances the decoder through a Feature Pyramid Network (FPN) and attention mechanisms. …”
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Contrasting aerial moose population estimation methods and evaluating sightability in west‐central Alberta, Canada by Wibke Peters, Mark Hebblewhite, Kirby G. Smith, Shevenell M. Webb, Nathan Webb, Mike Russell, Curtis Stambaugh, Robert B. Anderson

“…Estimated sightability on the transect line was 67% in 2010 and 46% in 2012, which was used to re‐scale the detection functions. Considering that population estimates from block‐surveys as applied in Alberta are based on observable moose, distance sampling with a sightability correction likely provided more accurate estimates. …”
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Establishment of a visualized mouse orthotopic xenograft model of nasopharyngeal carcinoma by Wei Chen, Wei-Min Chen, Si-Xia Chen, Li Jiang, Ge-Ge Shu, Yuan-Xiu Yin, Zhi-Peng Quan, Zi-Yan Zhou, Ming-Jun Shen, Ya-Ting Qin, Chao-Lin Yang, Xue-Jin Su, Min Kang

“…Luminescence signal detection, micro-MRI, and hematoxylin and eosin staining revealed the successful growth of tumors in the nasopharynx of the nude mice. …”
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SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET by Hyder Abbas, Shen Bing Ren, Muhammad Asim, Syeda Iqra Hassan, Ahmed A. Abd El-Latif

“…Secondly the block includes an attention module that refines the decoder, is constructed to enhances the detection of salient objects in complex backgrounds by selectively focusing attention on relevant features. …”
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Enhancing Geothermal Anomaly Detection with Multi-Source Thermal Infrared Data: A Case of the Yangbajing–Yangyi Basin, Tibet by Chunhao Li, Na Guo, Yubin Li, Haiyang Luo, Yexin Zhuo, Siyuan Deng, Xuerui Li

“…Geothermal resources are crucial for sustainable energy development, yet accurately detecting geothermal anomalies in complex terrains remains a significant challenge. …”
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Design and Research on a Reed Field Obstacle Detection and Safety Warning System Based on Improved YOLOv8n by Yuanyuan Zhang, Zhongqiu Mu, Kunpeng Tian, Bing Zhang, Jicheng Huang

“…This study proposes a lightweight model for farmland obstacle detection by improving the YOLOv8n object detection algorithm. …”
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Improvement in Adenoma Detection Rate with Distal Attachment Device Endo-Wing™-Assisted Colonoscopy: A Randomized Control Trial by Nabil Mohammad Azmi, Prem Kumar Gopal, Muhammad Irfan Abdul Jalal, Mazian Ismail, Farizal Fadzil

“…This study aims to compare the adenoma detection rate (ADR) between standard colonoscopy and Endo-Wing™-assisted colonoscopy. …”
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VI-BEV: Vehicle-Infrastructure Collaborative Perception for 3-D Object Detection on Bird’s-Eye View by Jingxiong Meng, Junfeng Zhao

“…As infrastructure equipment development matures, leveraging these assets to enhance automated vehicle perception becomes increasingly valuable for more accurate and broader 3D object detection. This paper proposes a straightforward and scalable framework to incorporate infrastructure and vehicle onboard sensors to perform 3D object detection on Bird’s Eye View(BEV) images. …”
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Oligonucleotide-capped nanoporous anodic alumina biosensor as diagnostic tool for rapid and accurate detection of Candida auris in clinical samples by Luis Pla, Sara Santiago-Felipe, María Ángeles Tormo-Mas, Alba Ruiz-Gaitán, Javier Pemán, Eulogio Valentín, Félix Sancenón, Elena Aznar, Ramón Martínez-Máñez

“…Herein a sensitive, selective, and time-competitive biosensor based on oligonucleotide-gated nanomaterials for effective detection of C. auris is presented. In the proposed design, a nanoporous anodic alumina scaffold is filled with the fluorescent indicator rhodamine B and the pores blocked with different oligonucleotides capable of specifically recognize C. auris genomic DNA. …”
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A Comparative Study of Machine Learning and Deep Learning Models for Automatic Parkinson’s Disease Detection from Electroencephalogram Signals by Sankhadip Bera, Zong Woo Geem, Young-Im Cho, Pawan Kumar Singh

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Using of Dual Laterolog to detect fracture parameters for Nubia Sandstone Formation in Rudeis-Sidri area, Gulf of Suez, Egypt by Tarek F. Shazly, Elhamy Tarabees

“…The unfractured parts of the block matrix in hard rocks are slightly affected by invasion. …”
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