An Intermittent Fertilization Control System for Fruit Tree Crown Detection by Hao Yin, Pengyu Jing, Chen Ma, Liewang Cao, Chengsong Li, Lihong Wang

“…The initial stage of the process entails the design of the essential components of the fertilization apparatus, followed by the construction of the intermittent fertilization control system. …”
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Insights into Sulfhemoglobin Detection: UV-Vis and Fluorescence Spectroscopy Correlations by Lysmarie Santos-Velázquez, Juan López-Garriga

“…However, enzymes producing hydrogen sulfide in mammalian tissues and organs suggest sulfhemoglobin and sulfmyoglobin formation mechanisms are more complex than previously hypothesized. The process involves the interaction of H2S with hemoglobin or myoglobin in the presence of O2 or H2O2 to generate sulfhemoglobin or sulfmyoglobin, respectively. …”
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Sylph: An Unsupervised APT Detection System Based on the Provenance Graph by Kaida Jiang, Zihan Gao, Siyu Zhang, Futai Zou

“…Sylph proposes a whole-process architecture from provenance graph collection to anomaly detection, starting from the system audit logs, and dividing subgraphs based on time slices of the provenance graph it transforms into to reduce memory overhead. …”
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Posture detection of athletes in sports based on posture solving algorithms by Huan Zhang

“…In order to further improve the accuracy of attitude detection, the complementary filter algorithm and double-layer Kalman filter algorithm are combined to process the data, and finally the quaternion is updated. …”
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An Interpretable Method for Anomaly Detection in Multivariate Time Series Predictions by Shijie Tang, Yong Ding, Huiyong Wang

“…Yet, in many scenarios, it is necessary to explain the decision-making process of detection. To address this concern, we propose an interpretable method for an anomaly detection model based on gradient optimization, which can perform batch interpretation of data without affecting model performance. …”
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Target Tracking Algorithm Based on Adaptive Scale Detection Learning by Dawei Yang

“…The improvement point of this paper is to change the traditional kernel correlation filtering algorithm to detect and track at the same time and to combine deep learning with traditional kernel correlation filtering tracking to apply in the process of target tracking; the addition of deep learning network not only can learn more accurate feature representation but also can more effectively cope with the low resolution of video sequences, so that the algorithm in the case of scale mutation achieves more accurate target tracking in the case of scale mutation. …”
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Analysis on Solar Panel Crack Detection Using Optimization Techniques by M.D. Dafny Lydia, K. Sri Sindhu, K. Gugan

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Electronic Nose Humidity Compensation System Based on Rapid Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu

“…First, we chose the first ten seconds of non-steady state (rapid detection mode) sensor data as the dataset, rather than waiting for the electronic nose to stabilize during the detection process. …”
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Comparative analysis and evaluation of YOLO generations for banana bunch detection by Preety Baglat, Ahatsham Hayat, Sheikh Shanawaz Mostafa, Fábio Mendonça, Fernando Morgado-Dias

“…Traditionally, experienced harvesters manually inspect fields to determine the optimal harvesting time, a process that is both labor-intensive and increasingly unsustainable due to a shortage of skilled workers. …”
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Measurement by FIB on the ISS: Two Emissions of Solar Neutrons Detected? by Y. Muraki, K. Koga, T. Goka, H. Matsumoto, T. Obara, O. Okudaira, S. Shibata, T. Yamamoto

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An anatomical and physiological basis for flexible coincidence detection in the auditory system by Lauren J Kreeger, Suraj Honnuraiah, Sydney Maeker, Siobhan Shea, Gordon Fishell, Lisa Goodrich

“…This mechanism is crucial for the fundamental process of integrating the synchronized frequencies of natural auditory signals over time.…”
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Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection by Jessica Fernandes Lopes, Sylvio Barbon Junior, Leonimer Flávio de Melo

“…The Cumulative Sum (CUSUM) method, based on calculating the cumulative values within a time series, is commonly used for change detection due to its early detection of small drifts, simplicity, low computational cost, and robustness to noise. …”
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Infrared Detection of Substation Objects Using the Visible Light Spectrum by Andreas Anael Pereira Gomes, Leandra Ulbricht, Francisco Ganacim, Leonardo Göbel Fernandes, Anselmo Pombeiro, Nara Bobko, Eduardo Félix Ribeiro Romaneli

“…Our proposed method allows using an object detector with results comparable to other works that performed detection directly on the infrared domain while requiring no significant changes to the model architecture. …”
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AN ITERATIVE PROCEDURE FOR OUTLIER DETECTION IN GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Utriweni Mukhaiyar, Nurfitri Imro'ah

“…The process is repeated by detecting outliers and adding them to the model until a GSTAR model is obtained with no outliers detected. …”
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Java deserialization vulnerability defense technologybased on run-time detection by LI Yulin, CHEN Libo, LIU Yujiang, DU Wenlong, XUE Zhi

“…Following an examination of numerous publicly known Java deserialization vulnerabilities, a runtime detection-based defense technology solution for Java deserialization vulnerabilities was proposed. …”
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Ripe Tomato Detection Algorithm Based on Improved YOLOv9 by Yan Wang, Qianjie Rong, Chunhua Hu

“…To ensure the accuracy of inspection results, You Only Look Once version 9 (YOLOv9) has been explored as a fruit detection algorithm. To tackle the challenge of identifying tomatoes and the low accuracy of small object detection in complex environments, we propose a ripe tomato recognition algorithm based on an enhanced YOLOv9-C model. …”
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CURRENT POSSIBILITIES OF MAGNETIC – RESONANCE IMAGING IN DETECTION OF OVARIAN CANCER by N. A. Rubtsova, E. G. Novikova, I. Yu. Sychenkova

“…Due to the lack of effective screening programs and asymptomatic course of the disease in its early stages, in the majority of cases ovarian cancer (OC) is detected in form of disseminated process, what greatly reduces the effectiveness of primary treatment and has a negative impact on the further prognosis. …”
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Dog facial landmarks detection and its applications for facial analysis by George Martvel, Anna Zamansky, Giulia Pedretti, Chiara Canori, Ilan Shimshoni, Annika Bremhorst

“…We additionally provide a benchmark for dog facial landmarks detection and demonstrate two case studies for landmark detection models trained on the DogFLW. …”
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Non-Destructive Detection of Fruit Quality: Technologies, Applications and Prospects by Jingyi Liu, Jun Sun, Yasong Wang, Xin Liu, Yingjie Zhang, Haijun Fu

“…Fruit quality testing plays a crucial role in the advancement of fruit industry, which is related to market competitiveness, consumer satisfaction and production process optimization. In recent years, nondestructive testing technology has become a research hotspot due to its outstanding advantages. …”
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Nighttime Vehicle Detection Algorithm Based on Improved YOLOv7 by Fan Zhang

“…Second, a lightweight efficient feature fusion network (GS-EFF) is constructed to optimize multi-scale feature alignment by combining the jump connection and GSConv modules to reduce the information loss in the feature fusion process and lower the number of parameters. The Soft-EloU-NMS post-processing algorithm is further proposed to effectively reduce the leakage detection rate of dense small targets by fusing the multi-dimensional evaluation of overlap, center distance and aspect ratio. …”
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