Real-Time Runway Detection Using Dual-Modal Fusion of Visible and Infrared Data by Lichun Yang, Jianghao Wu, Hongguang Li, Chunlei Liu, Shize Wei

“…We introduce a large-scale visible–infrared runway dataset (RDD5000) and develop a SOD algorithm capable of detecting salient targets from unaligned visible and infrared images. …”
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RS-DETR: An Improved Remote Sensing Object Detection Model Based on RT-DETR by Hao Zhang, Zheng Ma, Xiang Li

“…Recently, deep-learning-based object detection has made significant progress. However, due to large variations in target scale, the predominance of small targets, and complex backgrounds in remote sensing imagery, remote sensing object detection still faces challenges, including low detection accuracy, poor real-time performance, high missed detection rates, and high false detection rates in practical applications. …”
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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…Furthermore, it exhibits higher recognition accuracy and robustness compared to alternative algorithms, thus offering a practical and efficient solution for deploying strawberry ripeness detection systems.…”
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Memory Efficient Local Features Descriptor for Identity Document Detection on Mobile and Embedded Devices by Daniil P. Matalov, Elena E. Limonova, Natalya S. Skoryukina, Vladimir V. Arlazarov

“…In this paper, we propose a data-driven approach to training a memory-efficient local feature descriptor for identity documents location and classification on mobile and embedded devices. The proposed algorithm for retrieving a dataset of patches is based on the specifics of document detection in smartphone camera-captured images with a template matching approach. …”
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A Nonlinear Compensation Method for Enhancing the Detection Accuracy of Weak Targets in FMCW Radar by Bo Wang, Tao Lai, Qingsong Wang, Haifeng Huang

“…To achieve precise detection of target geometric features, Ka/W/sub-terahertz band imaging radar systems with ultra-wide instantaneous bandwidth have been developed. …”
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Evaluation on nature-connected environment in building embedded landscape: theory, detection, and case design by Shu Zhong, Jiao Ren

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Parallel Net: Frequency-Decoupled Neural Network for DOA Estimation in Underwater Acoustic Detection by Zhikai Yang, Xinyu Zhang, Zailei Luo, Tongsheng Shen, Mengda Cui, Xionghui Li

“…Under wideband interference conditions, traditional neural networks often suffer from low accuracy in single-frequency direction-of-arrival (DOA) estimation and face challenges in detecting single-frequency sound sources. …”
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Lightweight underwater object detection method based on multi-scale edge information selection by Shaobin Cai, Xin Zhou, Wanchen Cai, Liansuo Wei, Yuchang Mo

“…As a result, the YOLO algorithm has been widely applied in underwater object detection. …”
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Real-Time Batch Detection System for Defects in Highly Curved Spiral Cylindrical Coils by Qinghang Zhuo, Linghua Kong, Jishi Zheng, Zhigang Ding, Wenguang Li, Dingrong Yi, Guofu Lian

“…The focus of this article is to apply machine vision and deep learning algorithms to study a surface defect detection and geometric measurement system for tungsten coils. …”
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Research on Two-Stage Data Compression at the Acquisition Node in Remote-Detection Acoustic Logging by Xiaolong Hao, Yangtao Hu, Bingnan Yan, Hang Hui, Yunxia Chen, Bingqi Zhang

“…The substantial volume of data acquired through remote-detection acoustic logging poses a remarkable challenge because of the limited real-time upload speed of the cable, which severely impedes its further application. …”
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Detection of alpha-rod protein repeats using a neural network and application to huntingtin. by Gareth A Palidwor, Sergey Shcherbinin, Matthew R Huska, Tamas Rasko, Ulrich Stelzl, Anup Arumughan, Raphaele Foulle, Pablo Porras, Luis Sanchez-Pulido, Erich E Wanker, Miguel A Andrade-Navarro

“…Here, we show that alpha-rod repeats can be detected using a neural network. The network detects more repeats than are identified by domain databases using multiple profiles, with a low level of false positives (<10%). …”
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Methods and algorithms of intellectual support in making managerial decisions in the implementation of security alarm tasks at objects of special importance by O. V. Tolstykh, O. V. Isaev

“…Currently, there is a problem of developing low-cost and functional SOTC controllers with support for algorithms for controlling the totality of elements of life support systems and subsystems of HMB OOV, for example, access control and management systems (ACS), as well as the possibility of integrating the proposed SOTC solutions into existing HMB facilities. …”
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Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm by P. K. Santhosh, B. Kaarthick

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A Novel Approach for Efficient Detection of Lotus Seedpod Maturity Using Compressed Models by Tao Tang, Min Jin, Gaohong Yu, Rui Feng, Bingliang Ye

“…To address the challenges associated with existing object detection algorithms, which often involve numerous model parameters and high computational loads that hinder deployment on resource-limited mobile terminals, we propose an efficient lotus seedpod maturity detection method based on a compressed model. …”
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Rapid detection of antibiotic resistance in Burkholderia pseudomallei using MALDI-TOF mass spectrometry by Nut Nithimongkolchai, Yothin Hinwan, Kanwara Trisakul, Lumyai Wonglakorn, Ploenchan Chetchotisakd, Auttawit Sirichoat, Arnone Nithichanon, Sorujsiri Chareonsudjai, Pisit Chareonsudjai, Jody Phelan, Taane G. Clark, Kiatichai Faksri

“…A decision tree algorithm identified ten significant peaks that effectively distinguished resistant isolates. …”
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An Improved Unmanned Aerial Vehicle Forest Fire Detection Model Based on YOLOv8 by Bensheng Yun, Xiaohan Xu, Jie Zeng, Zhenyu Lin, Jing He, Qiaoling Dai

“…Taking into account efficiency and cost-effectiveness, deep-learning-driven UAV remote sensing fire detection algorithms have emerged as a favored research trend and have seen extensive application. …”
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Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation by Ruvini Sanjeewa, Ravi Iyer, Pragalathan Apputhurai, Nilmini Wickramasinghe, Denny Meyer

“…Generalized additive mixed models (GAMM), binary logistics regression with splines, and random forest models were used to obtain an algorithm that differentiated between high- and low-empathy call segments. …”
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Computer vision-based detection of liquid levels within cylindrical tanks in wastewater treatment by MA Huanhuan, LI Yunbei, ZHANG Yuanxin, HE Yu, SHI Ningning, FAN Anrui, ZHOU Linhao, HUANG Biaobing, HONG Shuangxi, ZHANG Xiaoju

“…【Objective】Traditional methods for measuring specific resistance of sludge in wastewater treatment are limited by low efficiency, high errors and liquid surface oscillation. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Each input data point is represented by a low-dimensional representation and a probability of reconstruction by the algorithm. …”
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Deep learning-based temperature detection for group-raised pigs via thermal images by Xiaowen Liu, Xueting Zeng, Mengyuan Chu, Qian Li, Gang Liu

“…The methodology includes three approaches: (1) a Porcine-ESRGAN algorithm based on generative adversarial networks (GANs) was developed to reconstruct super-resolution of thermal infrared images, effectively addressing low-resolution limitations, (2) a novel temperature extraction method incorporating instantaneous recognition of postures was established to overcome challenges in measuring pigs in the lying position, and (3) an enhanced YOLOv7 architecture (termed ITG-YOLOv7) was implemented to improve the accuracy of thermal region detection. …”
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