A new BWO-based RGB vegetation index and ensemble learning strategy for the pests and diseases monitoring of CCB trees using unmanned aerial vehicle by Keliang Hu, Keliang Hu, Junchen Liu, Hai Xiao, Qiangguo Zeng, Jun Liu, Jun Liu, Lei Zhang, Lei Zhang, Man Li, Man Li, Zhihui Wang, Zhihui Wang

“…This approach provides an effective means for low-cost pests and diseases detection of CCB trees.…”
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Hybrid inspection of printed board defects by V. V. Vengerenko, A. V. Inyutin

“…Experiments have shown that the YOLOv8 neural network architecture has high accuracy of defect detection, low sensitivity to image quality, presence of text and graphic objects on the PCB, but the low quality of training datasets imposes restrictions on the use of only neural networks for defect detection. …”
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Mapping Delayed Canopy Loss and Durable Fire Refugia for the 2020 Wildfires in Washington State Using Multiple Sensors by Anika M. Anderson, Meg A. Krawchuk, Flavie Pelletier, Jeffrey A. Cardille

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DSM-Based Precise Pointing Angle Deviation Measurement Method for Beaconless Free Space Optical Communication by Xueyuan Ao, Yansheng Zou, Yang Zou, Qirun Fan, Xiaoxiao Dai, Chen Liu, Qi Yang, Deming Liu

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Research on a Fusion Technique of YOLOv8-URE-Based 2D Vision and Point Cloud for Robotic Grasping in Stacked Scenarios by Xuhui Ye, Xiaoyang Qin, Leming Zhan, Jun Wang, Yan Chen

“…To address these challenges, this paper proposes a grasp pose estimation algorithm that integrates 2D object detection based on YOLOv8-URE with 3D point cloud registration. …”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…In recent years, scholars at home and abroad have been exploring LIBS technology constantly, and through improving the detection system and optimizing laser pulse parameters, high sensitivity LIBS analysis at extremely low concentration has been achieved. …”
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Tightly Coupled LIDAR/IMU/UWB Fusion via Resilient Factor Graph for Quadruped Robot Positioning by Yujin Kuang, Tongfei Hu, Mujiao Ouyang, Yuan Yang, Xiaoguo Zhang

“…First, a lightweight point cloud segmentation and constraint algorithm is designed to minimize elevation errors and reduce computational demands. …”
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Development of Self-Powered Energy-Harvesting Electronic Module and Signal-Processing Framework for Wearable Healthcare Applications by Jegan Rajendran, Nimi Wilson Sukumari, P. Subha Hency Jose, Manikandan Rajendran, Manob Jyoti Saikia

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Improved method of non-intrusive load monitoring based on compressed sensing by Bo Yuan, Hong Liu, Shaoyun Ge, Guoping Liu

“…On this basis, two theorems of ‘sparsity proportion’ were analyzed and Multiple Extraction Direction Pursuit based on Gradient (MEDP-G) algorithm was proposed to improve the reconstruction algorithm. …”
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A Simple Blind Sampling Frequency Offset Estimation Scheme for Short-Reach DD-OFDM Systems by Hong Wen, Kang Geng, Qinghui Chen, Rui Deng, Ming Chen, Tiezhu Zong, Kunping Luo, Fengnian Liu

“…It can achieve high-precision SFO estimation while ensuring low computational complexity as well as high spectral efficiency. …”
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The Design and Evaluation of a Direction Sensor System Using Color Marker Patterns Onboard Small Fixed-Wing UAVs in a Wireless Relay System by Kanya Hirai, Masazumi Ueba

“…The sensor is characterized by the usage of both the color information of multiple color markers and color marker pattern matching. These enable the detection of distant, low-resolution markers, a high accuracy of marker detection, and robust marker detection against motion blur. …”
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A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis by Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo

“…Based on this concept, we then design a novel NL equalizer relying on the Smart Ordering and Candidate Adding (SOCA) algorithm. This reduced complexity NL detection algorithm is particularly well suited for practical hardware implementation using parallel processing at a low latency. …”
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A Drilling Debris Tracking and Velocity Measurement Method Based on Fine Target Feature Fusion Optimization by Jinteng Yang, Yu Bao, Zumao Xie, Haojie Zhang, Zhongnian Li, Yonggang Li

“…Furthermore, considering the robustness of the ByteTrack algorithm in retaining low-confidence targets and handling occlusions, we integrate ByteTrack into the tracking phase to enhance tracking stability. …”
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Sensor-Based Gait Analysis: A Comparative Study of Ultrasonic and Laser Sensors for Gait Monitoring in Rollator-Assisted Walking by Ivan Omeko, Stefan Twieg, Martin Obert

“…A crucial aspect of this system is the detection and correction of the user's posture of legs. …”
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Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…These ML-based models can help healthcare professionals identify high-risk infants and ensure timely and appropriate care. In addition, ML algorithms excel at detecting and analyzing complex patterns that can be overlooked by human clinicians, thereby enhancing diagnostic accuracy. …”
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Enhanced Blind Separation of Rail Defect Signals with Time–Frequency Separation Neural Network and Smoothed Pseudo Wigner–Ville Distribution by Mingxiang Zhang, Kangwei Wang, Yule Yang, Yaojia Cao, Yong You

“…Simulation and experiments showed that compared with traditional algorithms like independent component analysis, shallow neural networks, and time–frequency blind source separation, the proposed algorithm can provide better separation performance and higher stability in rail crack detection.…”
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Ramp winch locking system based on multi-channel image processing by Lei YOU, Yiwen LI, Haifeng ZHANG, Xiaoyu YANG, Minghua LUO

“…The algorithms are categorized into object detection, tracking and occlusion detection. …”
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High‐accuracy dynamic gesture recognition: A universal and self‐adaptive deep‐learning‐assisted system leveraging high‐performance ionogels‐based strain sensors by Yuqiong Sun, Jinrong Huang, Yan Cheng, Jing Zhang, Yi Shi, Lijia Pan

“…The ionogels‐derived strain sensors show highly sensitivity, fast response time (<10 ms), low detection limit (~50 μm), and remarkable durability (>5000 cycles), allowing for precise monitoring of human motions. …”
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ICP-Based Mapping and Localization System for AGV with 2D LiDAR by Felype de L. Silva, Eisenhawer de M. Fernandes, Péricles R. Barros, Levi da C. Pimentel, Felipe C. Pimenta, Antonio G. B. de Lima, João M. P. Q. Delgado

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