Finite Element Method-Based Modeling of a Novel Square Photonic Crystal Fiber Surface Plasmon Resonance Sensor with a Au–TiO₂ Interface and the Relevance of Artificial I... by Ayushman Ramola, Amit Kumar Shakya, Arik Bergman

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Optimal number of the examined lymph nodes for different N stages in colorectal cancer by Ye Tian, Xinyu Qiao, Gaozan Zheng, Hanjun Dan, Xinyu Dou, Guangming Ren, Liaoran Niu, Pengfei Wang, Siyuan Wang, Fengsu Wu, Yumao Yang, Jianyong Zheng, Fan Feng

“…Moreover, the restricted cubic splines (RCS) method was used to detect inflection points within the risk function and to investigate the correlation between the number of examined lymph nodes (ELNs) and OS. …”
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Polarization of road target detection under complex weather conditions by Feng Huang, Junlong Zheng, Xiancai Liu, Ying Shen, Jinsheng Chen

“…The optimal polarization parameters should be adaptively adjusted to weather conditions, angles and target features, whereas most existing research employs handcrafted polarization parameters without considering actual complex detection requirements, which are unable to adaptively adjust the polarization feature enhancement methods. …”
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Deep Learning-Based Crack Detection on Cultural Heritage Surfaces by Wei-Che Huang, Yi-Shan Luo, Wen-Cheng Liu, Hong-Ming Liu

“…This study employs a deep learning-based object detection model, GoogleNet, to identify cracks in cultural heritage images. …”
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The usefulness of presepsin in the early detection of anastomotic leakage after esophagectomy by Yoshiro Imai, Ryo Tanaka, Kentaro Matsuo, Hidero Yoshimoto, Mitsuhiro Asakuma, Hideki Tomiyama, Sang-Woong Lee

“…Conclusions: Presepsin levels on PODs 5 and 7 effectively detect anastomotic leakage after esophagectomy, making it a valuable, simple, non-invasive early detection test.…”
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Crack detection in beam-like structures by nonlinear harmonic identification by Paolo Casini, Fabrizio Vestroni, Oliviero Giannini

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Satellite-Based Forest Stand Detection Using Artificial Intelligence by Patrik Kovacovic, Rastislav Pirnik, Julia Kafkova, Mario Michalik, Alzbeta Kanalikova, Pavol Kuchar

“…Several models, including YOLOv8, YOLOv5 and Mask R-CNN, were tested and compared. An optimal model was selected based on parameters such as detection accuracy, total training time, and the precision of labeling detected image elements. …”
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Crack detection in beam-like structures by nonlinear harmonic identification by Paolo Casini, Fabrizio Vestroni, Oliviero Giannini

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MIMO Detection for High Order QAM by Canonical Dual Approach by Ye Tian, Jr-Fong Dang

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Application of Honeypot in Network Security for Detecting Cyber Attacks on IT Infrastructure by Carlos Susanto, Moh Ali Romli

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Rice Plant Disease Detection using Convolutional Neural Networks by A. Bala Ayyappan, T. Gobinath, M. Kumar, A. Sivaramakrishnan

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Prevalence and associations of hypertension detection, treatment and control in Cape Town by Nasheeta Peer, Naomi Levitt, Carl Lombard, Jaya George, Andre-Pascal Kengne

“…Prevalence of hypertension detection among participants with hypertension (62.4%), treatment among the detected (75.6%) and control among the treated (57.1%) were sub-optimal, with better rates in women (73.6%, 80.0%, 59.1%, respectively) than in men (41.6%, 61.2%, 48.8%) (p < 0.05 for detection and treatment). …”
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Robust Symbol Detection in Large-Scale Overloaded NOMA Systems by Hiroki Iimori, Giuseppe Thadeu Freitas De Abreu, Takanori Hara, Koji Ishibashi, Razvan-Andrei Stoica, David Gonzalez G., Osvaldo Gonsa

“…It is also shown via simulations that the technique can be integrated with existing iterative detection-and-decoding (IDD) methods, resulting in accelerated convergence.…”
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PV-YOLO: Lightweight YOLO for Photovoltaic Panel Fault Detection by Wang Yin, Shen Lingxin, Li Maohuan, Sun Qianlai, Li Xiaosong

“…The CBAM attention mechanism is added to enhance the effective features and improve the detection accuracy of small objects. The label assignment mechanism is optimized, and the SIoU loss functionis used to improve the uneven distribution of samples and accelerate network convergence. …”
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Design and optimization of a compact dual band metal insulator metal filter for high sensitivity refractive index sensing using particle swarm optimization by Ali Darabi, Mazdak Rad Malekshahi

“…The integration of the PSO algorithm ensures optimal performance across both wavelength bands, making the sensor a promising candidate for applications in biosensing, chemical detection, and environmental monitoring. …”
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Advanced Nanoformulations for Detection and Removal of Poly- and Perfluoroalkyl Substances (PFAS) by Jyotish Kumar, Mahesh Narayan

“…Nano-enabled techniques also offer improved performance over conventional methods. In this review, the details of the detection and removal of PFAS, as well as their optimization and limitations, and future perspectives are discussed. …”
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POCT Detection of Pseudomonas aeruginosa by PGM and Application of Preventing Nosocomial Infection of Bronchoscopy by Tao Wen, Houqi Ning, Yinping Yang, Jinze Zhang

“…The PGM represents a convenient and accurate quantitative detection method suitable for potential clinical diagnostic applications.…”
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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

“…The anomaly detection algorithms of the large scale network（LSN） were required to analysis the vast network traffic of G bit level in real-time and on-the-fly.A novel monitoring mechanism of LSN anomaly detection based on the data stream approach was proposed.The main contributions included: the sketch data structure and the frequent sketch algorithm of data streams were designed for anomaly detection of LSN.Optimized query methods were designed for customizing the security monitoring and detection policy with the correlations of multi data streams.The data reduction was proposed to make it possible that the whole network traffic character could be got using a few of special data streams.The experiments of the real networking environments validate the effectivity of LSN anomaly detection methods.…”
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Detection of cervical cell based on multi-scale spatial information by Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang

“…To tackle this problem effectively, we propose a cervical cell detection method that utilizes multi-scale spatial information. …”
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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

“…The anomaly detection algorithms of the large scale network（LSN） were required to analysis the vast network traffic of G bit level in real-time and on-the-fly.A novel monitoring mechanism of LSN anomaly detection based on the data stream approach was proposed.The main contributions included: the sketch data structure and the frequent sketch algorithm of data streams were designed for anomaly detection of LSN.Optimized query methods were designed for customizing the security monitoring and detection policy with the correlations of multi data streams.The data reduction was proposed to make it possible that the whole network traffic character could be got using a few of special data streams.The experiments of the real networking environments validate the effectivity of LSN anomaly detection methods.…”
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