Multi-Target Detection Algorithm for Fusion Images Based on an Attention Mechanism by Zhenge Qu, Zhuoning Dong, Yuxin Guo, Hui Ren, Hongyang Fu

“…This study focuses on target detection in fused images. Given that targets in such images are often small and severely occluded, we propose an optimized detection framework to overcome these challenges. …”
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Tower view object detection based on ECIOU structure embedded in YOLO by QIAN Jide, YAN Hao, LIANG Yan, ZENG Changchang, MOU Yihao

“…In view of the problems that the existing tower view target detection system is prone to large positioning deviation and low small target detection accuracy，this paper proposes an aircraft target detection method based on the ECIOU structure embedded in the YOLO v8 model from the tower view to improve the accuracy and efficiency of detection. …”
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Foreign object detection on coal conveyor belt enhanced by attention mechanism by ZHANG Yang, CHENG Zhiyu, CHEN Yunjiang, ZHANG Jiannan, YUAN Wensheng, ZHANG Hui

“…In order to solve this problem, the network structure of the original YOLOv8 algorithm was optimized and a YOLOv8-CPCA detection method was proposed. …”
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Electrocatalytic detection and adsorptive removal of rose bengal dye from wastewater by Maria Khan, Afzal Shah, Mohsin Javed

“…The sensor demonstrated excellent sensitivity, selectivity, and reproducibility, achieving a detection limit as low as 70 pM under optimized conditions (10 s deposition time, 0 V deposition potential, and 0.2 M NaOH as the electrolyte). …”
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Pulmonary Nodules Detection Algorithm Combining Multi-view and Attention Mechanism by LIU Yu-bo, LIU Guo-zhu, SHI Cao, XU Can-hui

“…It optimized the detection speed while the three-dimensional information of nodules was fully utilized to improve the detection rate of the candidate nodules. …”
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Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems by Meaad Ahmed, Qutaiba Alasad, Jiann-Shiun Yuan, Mohammed Alawad

“…Machine learning (ML)-based intrusion detection systems (IDSs) are mainly designed to detect malicious network traffic. …”
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Selection and Application of Specific Nucleic Acid Aptamers for the Detection of Pseudomonas aeruginosa by LI Xu, CHENG Yangyang, YANG Kai, LIU Benkang, LI Cheng

“…In conclusion, the developed method allowed effective detection of P. aeruginosa in water samples.…”
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Rapid detection of brain tumor cells using memristors for biomedical applications by Longhui Fu, Huangtao Chen, Bai Sun, Zelin Cao, Kaikai Gao, Mengna Wang, Wentao Yan, Kun Wang, Teng Wu, Siyuan Zhang, Shouping Gong, Pengyu Ren

“…Herein, it is firstly developed a rapid detection method of brain tumor cells by using a memristor with Ag/WO3/Ti structure, aiming to provide an innovative diagnostic tool. …”
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Application of VUV/Sulfite Defluorination System for the Simple Detection of Perfluoroalkyl Substances by Shiyong Tao, Yilin Chen, Xiao Mei, Luyao Jin, Feng Wu, Jing Xu

“…The approach was further demonstrated in an adsorption experiment, where calculated distribution coefficients (<i>K</i>_oc) for PFAS–sediment interactions were consistent with previously reported values, supporting the analytical validity of the method under controlled conditions. Overall, this work presents a simple and cost-effective indirect analytical strategy of applying a VUV/sulfite defluorination system for individual PFAS quantitative detection in complex environmental matrices.…”
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Design of a polarization insensitive SPR biosensor for malaria and cancer detection by Hasan Masud Khan, Shah Laheen Mashahad, Md. Asiful Islam, M. Shah Alam

“…By optimizing its structural parameters, the sensor has demonstrated a maximum wavelength sensitivity (WS) of 65,000 nm/RIU, amplitude sensitivity (AS) of 3709.66 RIU−1, and figure of merit (FOM) of 1160.71 RIU−1, sensor resolution (SR) of 1.53 × 10−6 RIU, for both x and y-polarizations to detect unknown analyte refractive indices (RIs) from 1.28 to 1.42. …”
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Aptamer-Conjugated Magnetic Nanoparticles Integrated with SERS for Multiplex Salmonella Detection by Fan Sun, Kun Pang, Keke Yang, Li Zheng, Mengmeng Wang, Yufeng Wang, Qiang Chen, Zihong Ye, Pei Liang, Xiaoping Yu

“…The SERS aptasensor was utilized for the detection of spiked authentic samples with recoveries between 94.0 and 100.4%, which proved the usability of the method and helped to achieve food safety detection.…”
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A Systematic Review and Comparative Analysis Approach to Boom Gate Access Using Plate Number Recognition by Asaju Christine Bukola, Pius Adewale Owolawi, Chuling Du, Etienne Van Wyk

“…This study proposes a method to access the boom gate by optimizing vehicle plate number recognition. …”
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RE-YOLOv5: Enhancing Occluded Road Object Detection via Visual Receptive Field Improvements by Tianyu Li, Xuanrui Xiong, Yuan Zhang, Xiaolin Fan, Yushu Zhang, Haihong Huang, Dan Hu, Mengting He, Zhanjun Liu

“…Considering that the ordinary non-maximum suppression method in dense occlusion scenarios will incorrectly suppress the prediction box of the occluded object, EIOU was used to optimize the non-maximum suppression method. …”
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Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals by YU Hongyi, ZHA Renpeng, SHEN Zhixiang, SHEN Caiyao, HU Yunpeng

“…Aiming at the problem of optimal detection of mixed signal symbol sequences, on the basis of co-frequency mixed receiving baseband signal model, sufficient statistics for joint maximum likelihood blind detection were derived, and the optimal receiver design of “mixed waveform matched filtering and symbol rate dual sampling” was given. …”
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Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach by David Carrascal, Paula Bartolomé, Elisa Rojas, Diego Lopez-Pajares, Nicolas Manso, Javier Diaz-Fuentes

“…This process should minimize power losses while optimizing distribution by balancing loads across the grid. …”
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Optimal Anisotropic Guided Filtering in retinal fundus imaging: A dual approach to enhancement and segmentation. by G Tirumala Vasu, Samreen Fiza, Subba Rao Polamuri, K Reddy Madhavi, Thejaswini R, Venkataramana Guntreddi

“…Retinal vascular tree segmentation and enhancement has significant medical imaging benefits because, unlike any other human organ, the retina allows non-invasive observation of blood microcirculation, making it ideal for the detection of systemic diseases. Many traditional methods of segmentation and enhancement encounter issues with visual distortion, ghost artifacts, spatially inconsistent structures, and edge information preservation as a result of the diffusion of spatial intensities at the edges. …”
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Petersen’s hernia after gastric cancer surgery: Unravelling clinical characteristics and optimal management approaches by Mingran Zhang, Yue Fan, Jun Li, Liu Yong

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Optimization of fermentation process for tangerine peel mead by response surface methodology by GUO Nannan, ZHANG Xinru, ZHANG Jie

“…And the physicochemical indicators and volatile flavor components of tangerine peel mead were detected and analyzed by conventional detection methods and gas chromatography-tandem mass spectrometry (GC-MS/MS). …”
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Identification of the Optimal Model for the Prediction of Diabetic Retinopathy in Chinese Rural Population: Handan Eye Study by Shanshan Jin, Xu Zhang, Hanruo Liu, Jie Hao, Kai Cao, Caixia Lin, Mayinuer Yusufu, Na Hu, Ailian Hu, Ningli Wang

“…The MLR model exhibited excellent prediction performance and visible equation and thus was the optimal model for DR prediction. Therefore, the MLR model may have the potential to serve as a complementary screening tool for the early detection of DR, especially in remote and underserved areas.…”
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A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…The optimal feature subsets were input into various classifiers, and the results showed that the K-Nearest Neighbor (KNN)-based classifier achieved the highest recognition accuracy of 96.11% ± 0.43%, demonstrating the method’s stability and robustness. …”
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