Comparative Analysis of Keypoint Detection Performance in SIFT Implementations on Small-Scale Image Datasets by Arif Rahman, Suprihatin, Imam Riadi, Tawar, Furizal

“…Regarding execution time and the average number of keypoints detected in each image, vlSIFT outperforms David Lowe’s library and OpenSIFT.…”
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The IMPACT study: A clustered randomized controlled trial to assess the effect of a referral algorithm for axial spondyloarthritis. by Maha Jamal, Amber M Korver, Martijn Kuijper, Deirisa Lopes Barreto, Cathelijne W Y Appels, Anneke P L Spoorenberg, Bart W Koes, Johanna M W Hazes, Lonneke van Hoeven, Angelique E A M Weel

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Potential applications of a low-cost gas sensor to monitor enteric methane emission from ruminant animals by Mulisa F. Dida, Milad Bagheri Shirvan, Toshikazu Kawaguchi, Sergio C. Garcia, Luciano A. Gonzalez

“…The peak detection algorithm indicated that the GF detected more peaks and processed data four times faster than the MQ-4 gas sensor. …”
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MSGEGA: Multiscale Gaussian Enhancement and Global-Aware Network for Infrared Small Target Detection by Yuyang Xi, Liuwei Zhang, Ying Jiang, Feng Qian, Fanjiao Tan, Qingyu Hou

“…However, detecting infrared small targets in complex backgrounds with low SCR and poor contrast with the background still faces challenges such as low detection rate and high false alarm rate. …”
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Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values by Przemyslaw Mazurek, Wojciech Chlewicki

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Synchronization method for long-term evolution-based machine-type communication in low-power cellular Internet of Things by Rothna Pec, Joo-Hyung Choi, Chang-Hwan Park, Yong Soo Cho

“…In this article, a complete synchronization and cell search procedure is described for machine-type communication devices in long-term evolution systems. Low-complexity algorithms for primary synchronization signal and secondary synchronization signal detection, which requires the highest computational complexity in synchronization and cell search period, are also proposed for low-power machine-type communication devices. …”
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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…Furthermore, low-level optimization techniques like genetic algorithms as well as particle swarm optimization are used to fine tune the specific model parameters and to reduce the computational overhead for improving the detection efficacy still more. …”
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Optimization Method for Combination of Residual Current Protection and Coincidence Brake Logic in a Low-Voltage Distribution System by XU Han, ZHU Sanli, ZHANG Tengfei, CHEN Shu, LIU Mingxiang

“…First, the residual current protection device and the automatic reclosing switch are installed in the low-voltage side outlet of the transformer. When the over-threshold residual current of the fault phase is detected, the instantaneous skip circuit breaker is used to ensure the safety of the power supply. …”
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Extracting fluorescent reporter time courses of cell lineages from high-throughput microscopy at low temporal resolution. by Mike J Downey, Danuta M Jeziorska, Sascha Ott, T Katherine Tamai, Georgy Koentges, Keith W Vance, Till Bretschneider

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Research on high-resolution processing of frequency modulation combined signal for active sonar detection by Yaojun Jia, Pingbo Wang, Hongkai Wei, Qiang Chen, Yunhua Hu

“…The Frequency Modulation Combined (FMC) waveform has delay (range)-Doppler (velocity) coupling resolution, and the traditional nonlinear high-resolution algorithms represented by Point-wise Product (PP) and Point-wise Minimization (PM) have good anti-reverberation performances, but their detection performances are poor under low Signal-to-Noise Ratio (SNR) conditions. …”
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Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals by Bo Zhu, Tao Geng, Gedong Jiang, Zheng Guan, Yang Li, Xialun Yun

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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. To address these issues, a lightweight vehicle detection model is developed based on UAV aerial imagery. …”
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Full-waveform Small-footprint LiDAR Multi-target Echo Waveform Lightweight Detection by Spatio-temporal Coupling Models by Zhen XIAO, Yanfeng GU, Yanze JIANG, Xian LI

“…This study proposes a spatiotemporal coupling model-driven lightweight algorithm for detecting multi-target echoes in small-footprint full-waveform LiDAR. …”
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Lightweight Neural Network for Centroid Detection of Weak, Small Infrared Targets via Background Matching in Complex Scenes by Xiangdong Xu, Jiarong Wang, Zhichao Sha, Haitao Nie, Ming Zhu, Yu Nie

“…The experimental results show that, compared to directly inputting a sequence of images into the neural network, inputting a sequence of images processed by background matching can increase the detection rate by 9.88%. Using the centroid correction algorithm proposed in this paper can therefore improve the centroid localization accuracy by 0.0134.…”
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Intelligent Computed Tomography-based Detection Method for Lithium Battery Mylar Film Damage by Menglei LI, Dimeng XIA, Guoyang LIN, Shusen ZHAO

“…Subsequently, by combining image-preprocessing techniques and deep learning algorithms, an intelligent detection model was constructed to efficiently and accurately detect defective batteries. …”
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IoT-edge anomaly detection for covariate shifted and point time series health data by Partha Pratim Ray, Dinesh Dash

“…We implement the ”IRKernel” to investigate the efficiency of exponentially weighted moving average (EWMA)-based light-weight statistical learning by using three variants e.g. probabilistic (P), shift-detect (SD), and two-stage shift-detect (TS-SD) over the EWMA algorithms. …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…To address this issue, this research aims to conduct extensive experiments using machine learning models and handcrafted feature extraction in the low-resource language Albanian. We utilized several machine-learning algorithms, including Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), and Logistic Regression (LR), and extracted a considerable number of handcrafted features. …”
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One-Class Anomaly Detection for Industrial Applications: A Comparative Survey and Experimental Study by Davide Paolini, Pierpaolo Dini, Ettore Soldaini, Sergio Saponara

“…The results showed strong performance in terms of detection accuracy and low latency, with the best outcomes achieved using the UNSW-NB15 dataset. …”
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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…Experimental results in terms of drone detection performance indicate that the incorporation of MG-SNN significantly improves the accuracy of low-altitude drone detection tasks compared to popular small object detection algorithms, acting as a cheap plug-and-play module in detecting small flying targets against complex backgrounds.…”
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Research on a Bone Stick Fragment Stitching Method Based on Improved Corner Detection by Jiahuan Liu, Huiqin Wang, Rui Liu, Ke Wang, Zhan Wang, Ting Wang

“…Focused on the problem that the existing methods have a low bone stick fragment stitching success rate due to their complex edges, this paper proposes a bone stick fragment stitching method based on improved corner detection, which strengthens the features of broken edges and improves the success rate of stitching. …”
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