Establishment of a TaqMan qPCR method with MGB probe for the specific detection of BVDV field strains circulating in China by Lele An, Lele An, Xiaoting Ren, Yetao Zhang, Shubin Zhang, Yongqing Zhao, Yongqing Zhao

“…Universal primers and an MGB probe targeting the conserved 5′ untranslated region (5′UTR) of both BVDV-1 and BVDV-2 were designed based on complete genome sequences available in GenBank. Following optimization of the reaction conditions, the assay demonstrated a detection limit of 1.265 copies/μL using a plasmid standard. …”
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Development of a rapid on-site detection method for largemouth bass virus based on RPA-CRISPR/Cas12a system by Na Li, Chunmei Dai, Yuelin Mao, Yimeng Zhang, Huiyuan Yan, Huijiao Wang, Yinghui Qin, Baicheng Huang, Xinjie Wang, Lunguang Yao

“…Rapid, simple, and reliable detection methods are essential for the timely identification of LMBV infections, enabling effective prevention and control measures.MethodsIn this study, a detection platform utilizing the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 12a (Cas12a) system was developed for LMBV. …”
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Early Forest Fire Detection With UAV Image Fusion: A Novel Deep Learning Method Using Visible and Infrared Sensors by Kunlong Niu, Chongyang Wang, Jianhui Xu, Jianrong Liang, Xia Zhou, Kaixiang Wen, Minjian Lu, Chuanxun Yang

“…Therefore, this research proposes a novel method to early forest fire detection by fusing visible and infrared images and creating a dataset. …”
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Establishment of a One–Pot RAA–CRISPR/Cas13a Assay-Based TGEV S Gene Detection by Lindan Lv, Hao Mu, Shaomei Li, Jieqi Gao, Mingni Liu, Shuizhu Niu, Guoyang Xu, Lizhi Fu, Zhenhui Song, Liu Yang

“…In this study, we developed a one–pot assay combining recombinase-aided amplification (RAA) and CRISPR/Cas13a technology, targeting the TGEV S gene. This method was optimized for sensitivity and specificity, with orthogonal tests determining the optimal reagent concentrations. …”
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Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…Second, to enhance the model’s adaptability to non-Gaussian backgrounds and maximize spectral information utilization, we propose a Cauchy graph distance-optimized RX anomaly detection approach. This method replaces the traditional covariance matrix with a significance-weighted Cauchy distance graph, reducing the influence of the target on the background and improving the model’s robustness in complex environments. …”
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Enhanced Hybrid Detection Technique for Minimum Mean Square Equalizer in Uplink Massive MIMO Systems by Azhar Hussein Neama, Ghanim A. Al-Rubaye

“…We propose an iterative detection technique based on the enhanced Alternating Direction Method of Multipliers–Conjugate Gradients (ADMM-CG) to avoid direct matrix inversion. …”
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Decentralized traffic management with Federated Edge AI: a reinforced transnet model for real-time vehicle object detection and collaborative route optimization by C. E. Mohankumar, A. Manikandan

“…The aim is to enhance real-time vehicle detection, optimize traffic routes, and alleviate congestion while ensuring the privacy of sensitive data. …”
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Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images by Karthikeyan Shanmugam, Harikumar Rajaguru

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Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study by Jacinto Mata, Victoria Pachón, Ana Manovel, Manuel J Maña, Manuel de la Villa

“…It also examines how domain-specific language models and clinically guided optimization strategies can improve the reliability, sensitivity, and generalizability of symptom detection in real-world EHRs. …”
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Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

“…To address these issues, we have developed a low-cost non-contact sleeping posture detection system. Our system features eight optimally distributed triaxial accelerometers, providing a comfortable and non-contact front-end data acquisition unit. …”
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SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM by Pereira, Paulo Elias Carneiro, de Rezende, Stanley Washington Ferreira, Moura Júnior, José dos Reis Vieira de, Finzi Neto, Roberto Mendes

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Performance analysis of shear horizontal one port surface acoustic wave (SAW) resonator for optimal liquid sensing based on finite element method by Yih Bing Chu

“…This paper presents the numerical study using finite element method for optimal liquid sensing performance of one port surface acoustic wave (SAW) resonator. …”
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A quality-by-design optimized LC method for navigating degradation kinetics and quantification of favipiravir in the presence of degradation products and manufacturing impurities by Adel Ehab Ibrahim, Mohamed Farouk, Samy G. Alamir, Baher I. Salman, Tarek S. Belal, Sami El Deeb, Ahmed Al-Harrasi

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Conditional GAN-Based Two-Stage ISP Tuning Method: A Reconstruction–Enhancement Proxy Framework by Pengfei Zhan, Jiongyao Ye

“…The results demonstrate that the proposed method outperforms end-to-end proxy methods on public datasets (SIDD, KITTI) and achieves over 21% improvement in performance metrics compared to hand-tuning methods.…”
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Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier by Ali Saeed Almuflih, Ilyos Abdullayev, Sergey Bakhvalov, Rustem Shichiyakh, Bibhuti Bhusan Dash, K. B. V. Brahma Rao, Kritika Bansal

“…This manuscript presents a Binary Snake Optimizer with DL-Enabled Zero-Day Attack Detection and Classification (BSODL-ZDADC) method. …”
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CoDAC: Autonomous Obstacle Avoidance Optimization for Unmanned Surface Vehicle Clusters via Multi-Modal Dynamic Perception and Collaborative Community Detection by Youhong Li, Jiawei Ye, Le Gao, Min Cai

“…This paper proposes CoDAC, an autonomous obstacle avoidance optimization method that synergizes multimodal dynamic perception and incremental community detection. …”
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GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

“…In this paper, we introduce a Genetic Algorithm (GA) based Random Forest (RF) method, named GA4RF, to enhance the accuracy of fall detection models by optimizing their hyperparameters. …”
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Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…The main intention of the MDMIoV-DLXAI model is to enhance the malware detection and classification model in IoV by utilizing advanced two-tier optimization models. …”
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Optimized Sensitivity in Copper(II) Ion Detection: Sustainable Fabrication of Fluorescence Red-Shifted Graphene Quantum Dots via Electron-Withdrawing Modulation by Weitao Li, Qian Niu, Xinglong Pang, Shang Li, Yang Liu, Boyu Li, Shuangyan Li, Lei Wang, Huazhang Guo, Liang Wang

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Response Surface Methodology Optimization of Time-Resolved Fluorescence Immunoassay for Rapid Detection of AflatoxinB₁ in Yellow Rice Wine by Mengjie Zhu, Dun Wang, Du Wang, Jing Dong, Xue Wang, Qi Zhang, Man Xiao

“…Statistical experimental designs were used to optimize the process of this rapid detection of AFB₁ in yellow rice wine. …”
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