Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images by Sarah Oraby, Ahmed Emran, Basel El-Saghir, Saeed Mohsen

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Anomaly detection using unsupervised machine learning algorithms: A simulation study by Edmund Fosu Agyemang

“…Future work should explore parameter optimization, the impact of dataset characteristics on model performance, and the application of these models to real-world datasets to validate their efficacy in practical anomaly detection scenarios.…”
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Novel transfer learning based bone fracture detection using radiographic images by Aneeza Alam, Ahmad Sami Al-Shamayleh, Nisrean Thalji, Ali Raza, Edgar Anibal Morales Barajas, Ernesto Bautista Thompson, Isabel de la Torre Diez, Imran Ashraf

“…An efficient neural network method is essential for the early detection and timely treatment of fractures. …”
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Mass Spectrometric Fingerprinting to Detect Fraud and Herbal Adulteration in Plant Food Supplements by Surbhi Ranjan, Tanika Van Mulders, Koen De Cremer, Erwin Adams, Eric Deconinck

“…A complimentary evaluation between data obtained using a previously developed Diode Array Detection (DAD) method and the MS data was performed by data fusion techniques and newly generated models. …”
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Surface Plasmon Resonance Based Titanium Coated Biosensor for Cancer Cell Detection by Md. Asaduzzaman Jabin, Kawsar Ahmed, Md. Juwel Rana, Bikash Kumar Paul, Maheen Islam, Dhasarathan Vigneswaran, Muhammad Shahin Uddin

“…A new optimized bowl-shaped mono-core surface plasmon resonance based cancer sensor is proposed for the rapid detection of different types of cancer affected cell. …”
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Improved YOLOv8n Models for Object Detection in Remote Sensing Images by Young-Long Chen, Kai-Chun Hung, Jia-Yun Zhang, Ling-Wei Lin

“…Unlike previous YOLO variants, our method optimizes feature fusion strategies and integrates advanced attention mechanisms specifically tailored for remote sensing images, effectively addressing small-object detection, large-scale variations, and complex backgrounds. …”
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Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images by Kaiyuan Long, Shibo Li, Jiangping Long, Hui Lin, Yang Yin

“…Furthermore, the ATSS label allocation method is employed to optimize sample allocation and enhance detection effectiveness. …”
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RTL-Net: real-time lightweight Urban traffic object detection algorithm by Zhiqing Cui, Jiahao Yuan, Haibin Xu, Yamei Wei, Zhenglong Ding

“…For edge computing object detection, our method outperforms YOLOv8s and leading remote sensing algorithms in both speed and accuracy, achieving state-of-the-art performance among single-stage detectors with comparable parameters.…”
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Advancing Ton-Bag Detection in Seaport Logistics with an Enhanced YOLOv8 Algorithm by Xiulin Qiu, Haozhi Zhang, Chang Yuan, Qinghua Liu, Hongzhi Yao

“…Due to the problems of inaccurate ton bag identification, high costs, large model sizes, and long computation times in traditional freight transportation—issues that hinder meeting real-time requirements on resource-constrained operational equipment—this paper proposes an improved lightweight ton bag detection algorithm, YOLOv8-TB (YOLOv8-Ton Bag), which is optimized based on YOLOv8. …”
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Image information optimization processing based on fractional order differentiation and WT algorithm. by Qiong Long

“…To improve the quality of complex images, research proposes an image information optimization processing method based on fractional order differentiation and WT algorithm. …”
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BRA-YOLOv10: UAV Small Target Detection Based on YOLOv10 by Quanyu Zhang, Xin Wang, Heng Shi, Kunhui Wang, Yan Tian, Zhaohui Xu, Yongkang Zhang, Gaoxiang Jia

“…By focusing on the target’s key information, the model optimizes overall detection performance. Secondly, based on this improvement, adding a high-resolution small target detection layer (STDL) enhances the model’s detection accuracy by providing more detailed target information. …”
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A recurrent YOLOv8-based framework for event-based object detection by Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh, Mohammed E. Fouda, Ahmed M. Eltawil

“…ReYOLOv8 incorporates a low-latency, memory-efficient method for encoding event data called Volume of Ternary Event Images (VTEI) and introduces a novel data augmentation technique based on Random Polarity Suppression (RPS) optimized for event-based sensors and tailored to leverage the unique attributes of event data. …”
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An In Situ Characterisation Method for 3-D Electrospun Foams by Kyriakos Almpanidis, Chloe J. Howard, Vlad Stolojan

“…Also, the statistical analysis shows low standard deviations for the optimal and near-optimal runs, proving the method’s repeatability. …”
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Finding the Optimal Convolutional Kernel Size for Semantic Segmentation of Pole-like Objects in Lidar Point Clouds by Z. Zhang, D. Shojaei, K. Khoshelham

“…We also develop a post-processing approach that transforms semantic segmentation outputs into panoptic segmentation results, enabling accurate detection of individual PLO instances. Furthermore, qualitative tests on an independent, unlabelled point cloud dataset from a different urban area demonstrate that our method consistently achieves accurate segmentation.…”
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From lab to real-life: A three-stage validation of wearable technology for stress monitoring by Basil A. Darwish, Shafiq Ul Rehman, Ibrahim Sadek, Nancy M. Salem, Ghada Kareem, Lamees N. Mahmoud

“…While conventional diagnostic methods, such as self-reported questionnaires and basic physiological measurements, often lack the objectivity and precision needed for effective stress management, wearable devices present a promising avenue for early stress detection and management. …”
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Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…This optimized “green” method provides an effective alternative for BPA detection in a challenging matrix, e.g., milk. …”
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OPTIMIZATION OF PRIMARY TRANSRECTAL MULTIFOCAL PROSTATE BIOPSY USING PERFUSION COMPUTED TOMOGRAPHY by N. V. Sosnovskiy, М. I. Shkolnik, E. V. Rozengauz, D. V. Nesterov

“…Primary transrectal multifocal prostate biopsy is the standard method for prostate cancer (PCa) verification, with the detection rate of 53 %. …”
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Addressing Cardiometabolic Challenges in HIV: Insights, Impact, and Best Practices for Optimal Management—A Narrative Review by Nadine Mugisha, Laura Ghanem, Omar A. I. Komi, Rawan Noureddine, Sanobar Shariff, Magda Wojtara, Mahlagha Mousavi Nanehkeran, Olivier Uwishema

“…To reduce health issues, enhance clinical results, and improve the long‐term quality of life for people living with HIV, it is important to early identify cardiovascular risk factors and to follow customized prevention and management methods. Conclusion This review shows that early detection through regular screening is pivotal through collaboration between healthcare providers, researchers, and policymakers which will allow for timely interventions and drive innovation and address evolving challenges to enhancing the quality of life for individuals living with HIV. …”
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Optimal ensemble-based framework for ground-fault protection in radial MV distribution networks with resonant grounding by Boštjan Polajžer, Younes Mohammadi, Thomas Olofsson, Gorazd Štumberger

“…The proposed protection scheme employs backward optimal feature selection to identify the most relevant discrete features obtained from measured zero-sequence current and voltage waveforms. …”
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A non-invasive method for screening mitochondrial diabetes by Hangyu Fang, Hangyu Fang, Xiaoe Li, Shuping Wang, Mei Zhang, Victor Wei Zhang, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu

“…Therefore, employing appropriate detection methods for the rapid screening of suspected MDM patients can facilitate early diagnosis of MDM.MethodsWe conducted a multicenter observational study by collecting oral exfoliated cells from patients and detecting the m.3243A>G mutation using Polymerase Chain Reaction (PCR). …”
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