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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YOLOX-S-TKECB: A Holstein Cow Identification Detection Algorithm by Hongtao Zhang, Li Zheng, Lian Tan, Jiahui Gao, Yiming Luo

“…Therefore, this paper proposes a cow identification method based on YOLOX-S-TKECB. (1) Based on the characteristics of Holstein cows and their breeding practices, we constructed a real-time acquisition and preprocessing platform for two-dimensional Holstein cow images and built a cow identification model based on YOLOX-S-TKECB. (2) Transfer learning was introduced to improve the convergence speed and generalization ability of the cow identification model. (3) The CBAM attention mechanism module was added to enhance the model’s ability to extract features from cow torso patterns. (4) The alignment between the apriori frame and the target size was improved by optimizing the clustering algorithm and the multi-scale feature fusion method, thereby enhancing the performance of object detection at different scales. …”
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SDN Anomalous Traffic Detection Based on Temporal Convolutional Network by Ziyi Wang, Zhenyu Guan, Xu Liu, Caixia Li, Xuan Sun, Jun Li

“…In response to these challenges, we propose a Temporal Convolutional Network (TCN)-based anomalous traffic detection method for SDN. Taking the packet length sequence as the core feature, the long-term temporal dependency in the traffic data is effectively captured by causal convolution and dilation convolution operations of the TCN model, combined with the residual connection mechanism to optimize the gradient propagation and improve the stability of the model training. …”
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Hierarchical Sampling Representation Detector for Ship Detection in SAR Images by Ming Tong, Shenghua Fan, Jiu Jiang, Chu He

“…Furthermore, experimental results on three authoritative SAR-oriented datasets for ship detection application present the comprehensive performance of our method.…”
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Remote Sensing Change Detection by Pyramid Sequential Processing With Mamba by Jiancong Ma, Bo Li, Hanxi Li, Siying Meng, Ruitao Lu, Shaohui Mei

“…Change detection (CD) in remote sensing imagery is crucial for monitoring environmental variations over time. …”
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MODEL BASED FAULT DETECTION FOR SAFETY MANAGEMENT OF THE INDUSTRIAL PROCESSES by Dumitru POPESCU, Pierre BORNE, Crina TOROUS

“…The variables of these connections are specified from the a-priori knowledge on the process. To detect the process faults, the paper proposes a method based on analytical redundance evaluation and on computing residues, using the measurements collected from the process and on the mathematical models associated to the process. …”
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Unsupervised Salient Object Detection by Aggregating Multi-Level Cues by Chenxing Xia, Hanling Zhang

“…In this paper, we present a novel method to detect salient object based on multi-level cues. …”
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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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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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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

“…Botnets pose a great threat to the Internet, and early detection is crucial for maintaining cybersecurity.However, in the early stages of botnet discovery, obtaining a small number of labeled samples restricts the training of current detection models based on deep learning, leading to poor detection results.To address this issue, a botnet detection method called BT-RN, based on metric learning, was proposed for small sample backgrounds.The task-based meta-learning training strategy was used to optimize the model.The verification set was introduced into the task and the similarity between the verification sample and the training sample feature representation was measured to quickly accumulate experience, thereby reducing the model’s dependence on the labeled sample space.The feature-level attention mechanism was introduced.By calculating the attention coefficients of each dimension in the feature, the feature representation was re-integrated and the importance attention was assigned to optimize the feature representation, thereby reducing the feature sparseness of the deep neural network in small samples.The residual network design pattern was introduced, and the skip link was used to avoid the risk of model degradation and gradient disappearance caused by the deeper network after increasing the feature-level attention mechanism module.…”
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Microblog Sentiment Orientation Detection Using User Interactive Relationship by Liang Wang, Mei Wang, Xinying Guo, Xuebin Qin

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Saliency Detection via Fusing Color Contrast and Hash Fingerprint by Yin Lv, Xuanrui Zhang, Yong Wang

“…This study proposes a simple and effective saliency detection method combining color contrast and hash fingerprint. …”
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Biopolymer-Modified Carbon Paste Electrode for the Electrochemical Detection of Pb(II) in Water by Ousama Ifguis, Abdelaziz Moutcine, Charaf Laghlimi, Younes Ziat, Rachid Bouhdadi, Abdelilah Chtaini, Amine Moubarik, Mohamed Mbarki

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Target Detection in Low Grazing Angle with Adaptive OFDM Radar by Yang Xia, Zhiyong Song, Zaiqi Lu, Hao Wu, Qiang Fu

“…Then, we propose an algorithm to optimally design the transmitted subcarrier weights to improve the detection performance. …”
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A novel external online calibration system for polarization detection by Li Zishuo, He Honghui, Wu Jian

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Feature-adaptive anomaly detection model for onion inspection system by Ziwei Song, Prawit Buayai, Koji Makino, Xiaoyang Mao

“…The VBIM introduces a new feature-adaptive anomaly detection method, which optimizes feature layer weights in a student-teacher anomaly detection model. …”
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Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images by Fabian Lecron, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, Pierre Manneback

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Detection of egg appreance based on Fasternet and YOLOv5 model by WEI Jingxin, CHEN Zhongju, XU Haoran

“…Compared with YOLOv7-tiny and YOLOv8 models, the improved model has significant advantages.ConclusionThe experimental method can optimize the detection percision and reduces the parameters in the detection of egg' appreance, so as to achieve the purpose of identifying defected eggs in the automatic production. …”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…Therefore, it is necessary to find an efficient method for solving the problem by using classification with an intrusion detection system which analyzes enormous amounts of traffic data. …”
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Electronic Nose Humidity Compensation System Based on Rapid Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu

“…This method enhanced the average resolution of the electronic nose in this trial from 87.7% to 99.3%, a 12.4% improvement, demonstrating the efficacy of the humidity compensation system based on rapid detection for the electronic nose. …”
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