An Adaptive Threshold-Based Pixel Point Tracking Algorithm Using Reference Features Leveraging the Multi-State Constrained Kalman Filter Feature Point Triangulation Technique for D... by Zohaib Wahab Memon, Yu Chen, Hai Zhang

“…Monocular visual–inertial odometry based on the MSCKF algorithm has demonstrated computational efficiency even with limited resources. …”
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Low-power speech denoising method for non-stationary noise in underground mines by Yi YANG, Xiao TAN, Yajun CHANG, Keping WANG, Binbin LIU, Tian WANG

“…Especially when the signal-to-noise ratio is −5 dB, the algorithm proposed in this paper can still improve the segmented signal-to-noise ratio to −2.799 5 dB, indicating that the algorithm has strong denoising ability for ultra-low signal-to-noise ratio noisy speech. …”
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Fault Detection in MV Switchgears Through Unsupervised Learning of Temperature Conditions by Grazia Iadarola, Alessandro Mingotti, Virginia Negri, Susanna Spinsante

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Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models by Ithiphat Opasatian, Tofael Ahamed

“…In summary, image segmentation for detecting driveways can improve weed management in cassava fields, and the further automation of low-cost mechanical weeders in tropical climates can be performed based on the YOLACT algorithm.…”
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Adltformer Team-Training with Detr: Enhancing Cattle Detection in Non-Ideal Lighting Conditions Through Adaptive Image Enhancement by Zhiqiang Zheng, Mengbo Wang, Xiaoyu Zhao, Zhi Weng

“…This study proposes an image enhancement detection technique based on Adltformer (Adaptive dynamic learning transformer) team-training with Detr (Detection transformer) to improve model accuracy in suboptimal conditions, addressing the challenge of detecting cattle in real pastures under complex lighting conditions—including backlighting, non-uniform lighting, and low light. …”
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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…To tackle issues of missed detections and low accuracy in pedestrian detection, an improved YOLOv3-based pedestrian detection algorithm for mining unmanned vehicles was introduced. …”
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Overcoming Fairness and Latency Challenges in BBR With an Adaptive Delay Detection by Zewei Han, Go Hasegawa

“…In this paper, we introduce a modification to BBR, termed BBR Refined (BBR-R), which enhances throughput fairness among diverse RTT flows and lowers queuing delays. By targeting the underlying causes of unfairness, BBR-R adaptively adjusts delay detection intervals to clear queues in the bottleneck link buffer while preserving link utilization. …”
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Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current by Shumeng Zhu, Baoping Zhang, Qian Tian, Ao Li, Zhe Liu, Wei Hou, Wenzhe Zhao, Xin Huang, Yao Xiao, Yiming Wang, Rui Wang, Yuhang Li, Jian Yang, Chao Jin

“…This study investigated the feasibility of a deep learning iterative reconstruction algorithm (Deep IR) in reducing the radiation dose while improving the image quality for abdominal computed tomography (CT) with low tube voltage and current. …”
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Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging by Guangming Li, Hongyi Ge, Yuying Jiang, Yuan Zhang, Xi Jin

“…However, current THz imaging techniques are limited by low image resolution, which restricts their practical application. …”
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Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection by Md. Rashadur Rahman, Rezaul Karim, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Gahangir Hossain, Tetsuya Shimamura

“…To determine the optimal model and feature representation for claim detection, various machine learning algorithms were evaluated using BoW, TF-IDF, Word2Vec, and FastText features. …”
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A Segmented Low-Order Bistable Stochastic Resonance Method for Fixed-Distance Target Detection in Millimeter-Wave Fuze Under Rainy Conditions by Bing Yang, Kaiwei Wu, Zhe Guo, Yanbin Liang, Shijun Hao, Zhonghua Huang

“…To address these limitations while satisfying real-time processing requirements, this study proposes (1) a novel segmented low-order bistable stochastic resonance (SLOBSR) system based on piecewise polynomial potential functions and (2) a corresponding fixed-distance target detection algorithm incorporating signal pre-processing, particle swarm optimization (PSO)-based parameter optimization, and kurtosis threshold detection. …”
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Machine learning models and dimensionality reduction for improving the Android malware detection by Pablo Morán, Antonio Robles-Gómez, Andres Duque, Llanos Tobarra, Rafael Pastor-Vargas

“…They can detect an average of 91.72% malware samples, with a very low false positive rate of 0.13%, and using only 5,000 features. …”
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A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering by XUE Xiaohui, ZHANG Wen, ZHANG Jing, CHEN Yan, ZHOU Chun, CHEN Liang, CAO Zengwei

“…Then, in the second clustering, the density-based spatial clustering of applications with noise (DBSCAN) algorithm was used to accurately identify more complex default situations,such as high price and low connection. …”
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Vision-Based Damage Detection Method Using Multi-Scale Local Information Entropy and Data Fusion by Yiming Zhang, Zili Xu, Guang Li, Cun Xin

“…Low-spatial-resolution measurements from contact sensors and excessive measurement noise have impeded the implementation of vibration-based damage detection. …”
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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

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Sensor-free, Camera-only: Low-cost multi-angle CPR skill assessments method based on computer vision by Longxin Liu, Cen Wu, Jiafeng Liu, Jiayi Yu, Meng Bi, Hong Yu

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LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

“…To address this, we propose LEAF-YOLO, a lightweight and efficient object detection algorithm with two versions: LEAF-YOLO (standard) and LEAF-YOLO-N (nano). …”
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An Efficient Approach Based on RAE-GAMI-NET for Long Range Attack Detection on Blockchain by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The proposed explainable neural network model includes Residual Auto Encoder (RAE) guided generalized additive models with incorporating structured interactions (RAE-GAMI-Net) for LRA detection in PoS Blockchain In this work, a wrapper-based Binary Orchard Algorithm (W-BOA) is used to find the best features to lessen the dimensionality of extracted Characteristics, and a global feature extraction has been implemented based on multi-scale Densenet (MDensenet) that assures early convergence and optimal performance by providing global optimal solution. …”
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A Safe and Efficient Global Path-Planning Method Considering Multiple Environmental Factors of the Moon Using a Distributed Computation Strategy by Ruyan Zhou, Yuchuan Liu, Zhonghua Hong, Haiyan Pan, Yun Zhang, Yanling Han, Jiang Tao

“…This paper proposes a distributed path-planning method that considers multiple lunar environmental factors, addressing the issues of inadequate safety considerations and low computational efficiency in current research. …”
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Infrared Small Target Detection Based on Compound Eye Structural Feature Weighting and Regularized Tensor by Linhan Li, Xiaoyu Wang, Shijing Hao, Yang Yu, Sili Gao, Juan Yue

“…This paper proposes a low-rank and sparse decomposition method based on bio-inspired infrared compound eye image features for small target detection. …”
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