Relative Pose Estimation of an Uncooperative Target with Camera Marker Detection by Batu Candan, Simone Servadio

“…This paper introduces a novel method to detect structural markers on the European Space Agency’s Environmental Satellite (ENVISAT) for safe de-orbiting using image processing and Convolutional Neural Networks (CNNs). …”
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Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

“…The task of detecting vocal abnormalities is characterized by a small amount of available data for training, as a consequence of which classification systems that use low-dimensional data are the most relevant. …”
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Enhancing Fabric Detection and Classification Using YOLOv5 Models by Makara Mao, Jun Ma, Ahyoung Lee, Min Hong

“…The developed model detected and classified fabrics with an accuracy of 81.08%. …”
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IOT System for Detecting Epileptic Seizures Based on Fuzzy Logic by Jehan A. abbas, Manaf K. Hussei, Riyadh A. Abbas

“…To achieve this the proposed system utilizes the STM32F103C8T6 microcontroller to process data from a 3-axis accelerometer, heart rate sensor and temperature sensor. …”
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An Empirical Evaluation of Ensemble Models for Python Code Smell Detection by Rajwant Singh Rao, Seema Dewangan, Alok Mishra

“…Code smells, which represent poor design choices or suboptimal code implementations, reduce software quality and hinder the code maintenance process. Detecting code smells is, therefore, essential during software development. …”
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Systematic Review of Deep Learning Techniques in Skin Cancer Detection by Carolina Magalhaes, Joaquim Mendes, Ricardo Vardasca

“…Nevertheless, these processes are strongly dependent on dermatologists’ experience, with excision advised only when cancer is suspected by a physician. …”
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Anomaly Detection for Wireless Cellular Communication Based on Synthetic Anomaly by Hyeongwoo Kim, Jinha Kim, Youngseo Ji, Byungkwan Kim

“…The method achieved AUROC scores of 90% (image-level) and 82% (pixel-level) under ISR 0 dB, outperforming traditional unsupervised learning-based detection methods. An ablation study demonstrated the effectiveness of the synthetic anomaly generation process, highlighting its contribution to enhanced detection performance. …”
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iSentenizer-μ: Multilingual Sentence Boundary Detection Model by Derek F. Wong, Lidia S. Chao, Xiaodong Zeng

“…The genres of data are often referred to the shifts of text topics and new languages domains. Although new detection models can be retrained for different languages or new text genres, previous model has to be thrown away and the creation process has to be restarted from scratch. …”
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Analysis for Detecting Banana Leaf Disease Using the CNN Method by Nita Helmawati, Ema Utami

“…This accuracy confirms the potential of CNN in significantly improving the disease detection process on banana plants. This research is expected to help farmers identify diseases more quickly and accurately, thereby minimizing yield losses and increasing productivity. …”
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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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