DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

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NRAP-RCNN: A Pseudo Point Cloud 3D Object Detection Method Based on Noise-Reduction Sparse Convolution and Attention Mechanism by Ziyue Zhou, Yongqing Jia, Tao Zhu, Yaping Wan

“…Moreover, existing methods fail to effectively capture channel correlations and global contextual information during the 2D feature extraction stage after the 3D backbone network, limiting detection performance. …”
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Dry-Type Air-Core Series Reactor Turn-to-Turn Short Circuit Fault Detection Method Based on Multi-Parameter Data Fusion by WANG Yin, WANG Yuanyuan, CAO Chengjun, ZHANG Lizhi, YIN Youpeng, JI Hongzhen, DOU Di

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Dark Ship Detection via Optical and SAR Collaboration: An Improved Multi-Feature Association Method Between Remote Sensing Images and AIS Data by Fan Li, Kun Yu, Chao Yuan, Yichen Tian, Guang Yang, Kai Yin, Youguang Li

“…This paper proposes an improved multi-feature association method that integrates satellite remote sensing and AIS data, with a focus on oriented bounding box course estimation, to improve the detection of dark ships and enhance maritime surveillance. …”
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Detection method for identifying duck hepatitis A virus 3 virulent and attenuated strains based on RPA CRISPR single-base recognition system by Lei Chen, Qiaoli Zhang, Wenbo Sun, Michael G. Mauk, Qingmei Li

“…This method can detect two target genes as low as 10° copy/μL within 35 min. …”
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The quadruplex fluorescent quantitative PCR method for the simultaneous detection of respiratory diseases in quail: Pasteurella multocida, Avibacterium paragallinarum, Mycoplasma g... by Haojie Wang, Lihong Xue, Longxi Wang, Yixuan Liu, Jianxing Chen, Yue Sun, Tongqing An, Changwen Li, Hongyan Chen, Changqing Yu, Changyou Xia, He Zhang

“…These results were consistent with those obtained using previously established methods.DiscussionA highly sensitive, specific, rapid, and efficient quadruplex fluorescence quantitative PCR assay was successfully developed for the simultaneous detection and identification of Pasteurella multocida, Avibacterium paragallinarum, Mycoplasma gallisepticum, and Mycoplasma synoviae.…”
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Development of a multiplex loop-mediated isothermal amplification (LAMP) method for differential detection of Mycobacterium bovis and Mycobacterium tuberculosis by dipstick DNA chr... by Mwangala L. Akapelwa, Thoko F. Kapalamula, Lavel C. Moonga, Precious Bwalya, Eddie S. Solo, Joseph Y. Chizimu, Jeewan Thapa, Kyoko Hayashida, Bernard M. Hang'ombe, Musso Munyeme, Aki Tamaru, Takayuki Wada, Shiomi Yoshida, Takuya Kodera, Mistuo Kawase, Stephen V. Gordon, Keiko Yamada, Chie Nakajima, Yasuhiko Suzuki

“…In this study, we report a multiplex loop-mediated isothermal amplification (LAMP) method coupled with dipstick chromatography for the rapid and easy differential detection of M. bovis and M. tuberculosis. …”
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Analysis and optimization of energy harvesting characteristics of converter valve magnetic field self-powered harvester by WANG Wei, SU Wenbo, XU Chenjin, WU Yuwei, SHI Yuchen

“…In this paper, an accurate output power characteristic model based on magnetic field induction energy harvesting is proposed, utilizing a superimposed magnetic flux calculation method. The impact of key core parameters on energy harvesting power is explored step by step, and an optimization method is proposed. …”
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Research on Temperature Control Method of Rice Noodles Extruder Based on APSO-MPC by Mengyao Zhang, Yunren Yang, Guohua Gao, Zhenlong Li, Yakai He, Peigang Li, Huangzhen Lv

“…Aiming to address the problems of many temperature control disturbances and the hysteresis of control output in existing rice noodle extruders, a temperature control method for a rice noodle extruder based on adaptive particle swarm optimization (APSO) optimization model predictive control (MPC) was designed. …”
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Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming by Yi Huangfu, Hongming Chen, Zhonghao Huang, Wenfeng Li, Jie Shi, Linlin Yang

“…We plan to continue optimizing the algorithm and more broadly promote its use in fields such as corn breeding and pest and disease detection in an effort to advance the development of agricultural automation technology.…”
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Study on Hematological and Biochemical Index of Blood and Vitreous Humor in the Celestial-Eye Goldfish by Rongni Li, Yansheng Sun, Xin Zhang, Wentong Li

“…In this study, we conducted an exploration of blood collection, hematological and biochemical comparative analysis of the unique vitreous humor and blood of the celestial-eye goldfish (CE) (<i>Carassius auratus</i>), and obtained hematological and biochemical indicators for healthy celestial goldfish blood. After exploring the optimal method for collecting blood and ocular fluid, blood and vitreous humor samples were drawn from healthy CE, and an automatic hematology analyzer was used to measure 17 physiological indicators in the blood and vitreous humor. …”
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Spatial and temporal detection of 'Candidatus Liberibacter asiaticus' in Diaphorina citri through optimized scouting, sampling, DNA isolation, and qPCR amplification in California... by Nathaniel Ponvert, Frank Byrne, Monique J Rivera, Timo Rohula, Sandra Olkowski, Heshani De Silva Weligodage, Neil McRoberts, Judith K Brown

“…These targeted ACP sampling strategies and optimized laboratory processing methods will facilitate CLas detection in psyllids for streamlining citrus greening disease management.…”
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A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

“…First, feature selection is performed on the TON_IoT dataset to develop a Dream Optimization Algorithm (DOA)-optimized backpropagation neural network (DOA-BPNN) model for efficient anomaly detection. …”
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A Hybrid Optimization Approach for Improving Sensor Configuration to Enhance Nasogastric Tube (NGT) Localization During Insertion and Withdrawal by M. Souganttika, Shaohui Foong

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An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

“…Through synergistic integration of architectural optimization, sophisticated regularization methods, and deployment-aware training, our proposed system enables earlier and more accurate detection. …”
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Detection of low-altitude infrared small targets for UAVs using a density-based artificial bee colony algorithm by Haixia Wang, Hailong Wang, Fen Han

“…To this end, an enhanced small target detection model has been proposed, which integrates density-peak clustering and an artificial bee colony optimization mechanism. …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

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A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection by Noppadol Maneerat, Athasart Narkthewan, Kazuhiko Hamamoto

“…Early diagnosis and prompt treatment can cut off the rising number of TB deaths, and analysis of chest X-rays is a cost-effective method. We describe a deep learning-based cascade algorithm for detecting TB in chest X-rays. …”
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FEM and Circuit Simulation-Optimized WPT With Magnetic In-Band Communication for E-Bike Applications by Eun S. Lee

“…The transmitter (Tx) and receiver (Rx) coils for e-bike IPT applications are optimized using finite element method (FEM) and circuit simulations to ensure efficient power transfer operation under rated charging conditions. …”
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DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment by Goda Srinivasa Rao, P. Santosh Kumar Patra, V.A. Narayana, Avala Raji Reddy, G.N.V. Vibhav Reddy, D. Eshwar

“…Following this, feature selection uses the African Buffalo Optimization with Decision Tree (ABO-DT) method. This nature-inspired metaheuristic algorithm imitates the behaviour of African buffalos to determine which traits are the most important. …”
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