Deep Learning-Based Feature Matching Algorithm for Multi-Beam and Side-Scan Images by Yu Fu, Xiaowen Luo, Xiaoming Qin, Hongyang Wan, Jiaxin Cui, Zepeng Huang

“…Experimental results show that, compared to traditional methods, the proposed model exhibits greater robustness to noise interference and effectively reduces noise. It also overcomes challenges, such as large nonlinear differences, significant geometric distortions, and high matching difficulty between the MBES and side-scan images, significantly improving the optimized image matching results. …”
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Obstacle avoidance and formation control of multiple unmanned vehicles in complex environments based on artificial potential field method by Yilin MEI, Likun CUI, Xueyan HU, Guangqi HU, Hao WANG

“…A smoother repulsive was implemented to optimize the repulsive potential field function, preventing unmanned vehicles from lingering near obstacles caused by excessive repulsive force when too close to the obstacles. …”
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Multifunctional Polyimide for Packaging and Thermal Management of Electronics: Design, Synthesis, Molecular Structure, and Composite Engineering by Xi Chen, Xin Fu, Zhansheng Chen, Zaiteng Zhai, Hongkang Miu, Peng Tao

“…Three key modification strategies are highlighted: (1) surface modifications for enhanced hydrophobicity, chemical stability, and tribological properties; (2) molecular design for optimized dielectric performance and thermal stability; and (3) composite engineering for developing high-thermal-conductivity materials with improved mechanical strength and electromagnetic interference (EMI) shielding capabilities. …”
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Enhancing lipid production in Nannochloropsis salina via RNAi-mediated downregulation of carbohydrate biosynthesis by Hyun Gi Koh, Kyungmoon Park, See-Hyoung Park, Minsik Kim, Nam Kyu Kang

“…In this study, RNA interference (RNAi) was employed to downregulate uridine diphosphate-glucose pyrophosphorylase (UGPase), a central enzyme in chrysolaminarin biosynthesis. …”
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DEDANet: Mountainous Cropland Extraction From Remote Sensing Imagery With Detail Enhancement and Distance Attenuation by Liang Huang, Zixuan Zhang, You Yu, Bo-Hui Tang

“…Particularly in the decoder stage, embedded is a distance-attenuated transformer module, wherein an attenuation matrix assigns differentiated attention weights to pixels across spatial locations—thereby suppressing irrelevant background interference and reinforcing the contextual coherence of adjacent regions. …”
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Sensor-Based Assessment of Mental Fatigue Effects on Postural Stability and Multi-Sensory Integration by Yao Sun, Yingjie Sun, Jia Zhang, Feng Ran

“…Postural stability was assessed under four sensory perturbation conditions (O-H: no interference; C-H: visual occlusion; O-S: proprioceptive perturbation; C-S: combined perturbations) using a Kistler force platform. …”
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Application of artificial intelligence sensor and visual image technology in the analysis of hydrophilic space landscape characteristics by Dayan Li

“…In this paper, the multi-sensor collaborative filtering algorithm is optimized, and a method based on evidence theory is proposed to deal with the fuzzy and unclear information generated in the process of multi-sensor collaboration. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…The deformable attention mechanism embedded in DCFFN adaptively focuses on critical signal regions, while the loss function is optimized to the focal scaled intersection over union (Focal_SIoU), improving detection accuracy under low-SNR conditions. …”
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Deep Learning-Based Sound Source Localization: A Review by Kunbo Xu, Zekai Zong, Dongjun Liu, Ran Wang, Liang Yu

“…In marine scenarios, complex-valued convolutional networks combined with adversarial transfer learning mitigate environmental mismatch and multipath interference through phase information fusion and domain adaptation strategies. …”
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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

“…To solve the problem, we first propose a probabilistic user selection mechanism to reduce the total number of FL iterations, whereby the users who have a larger impact on the global model in each iteration are more likely to be selected. Then the convex optimization technique is utilized to optimize bandwidth allocation. …”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…Finally, the IQ criteria were optimized through a particle swarm optimization algorithm. …”
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Improvised Spectral Efficiency and Channel Estimation Parameters in Visible Light Vehicular Communication by Integrating Simulation of Urban Mobility Data by Ali H. Wheeb, Sudhanshu Maurya, Shaik Karimullah, Fahimuddin Shaik, Subrata Chowdhury, B. V. V. Siva Prasad, Anurag Sinha, Adamya Sood, Syed Abid Hussain

“…Visible Light Communication (VLC) has emerged as a promising technology for vehicular communication due to its high data rates, low latency, and immunity to electromagnetic interference. However, optimizing spectral efficiency and channel estimation in dynamic vehicular environments remains a key challenge. …”
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Implementing FFE-MLSD With Improved BER and Reduced Complexity for Long-Reach PAM4 Wireline Receivers by Hanseok Kim, Sihyun Lee, Piljun Jeong, Jaeha Kim, Woo-Seok Choi

“…Two key contributions are presented: (1) an FFE tap coefficient optimization framework that tunes the FFE to provide the output with an inter-symbol interference (ISI) memory length of two for better MLSD performance, and (2) a Top-K selection technique that reduces the computational complexity of MLSD by limiting the number of branch metric computations per trellis stage. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…High-frequency noise-containing IMFs are selectively removed, while LSTM predicts retained components. SSA optimizes LSTM parameters (learning rate, hidden layers, epochs) to minimize prediction errors. …”
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High-Performance Low-Bandgap Polymer Solar Cells With Optical Microcavity Employing Ultrathin Ag Film Electrode by Ning Li, Dazheng Chen, Chunfu Zhang, Jingjing Chang, Zhenhua Lin, Genquan Han, Jincheng Zhang, Lixin Guo, Yue Hao

“…Further, enhanced performance is obtained from an optimizing top-illuminated device. It is noted that a remarkably enhanced short-circuit current density of 19.50 mA/cm² is achieved for the microcavity device at optimized layer thicknesses, which is 11% higher than that of ITO-based devices. …”
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Glucagon-like peptide 1 receptor agonists: A new approach to type 2 diabetes management by Lynn Lambert

“…Despite advances in options for the treatment of type 2 diabetes, optimal glycaemic control is often not achieved. Hypoglycaemia and weight gain that are associated with many antidiabetic medications may interfere with the implementation and long-term application of treatment strategies. …”
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Experimental benchmarking of quantum state overlap estimation strategies with photonic systems by Hao Zhan, Ben Wang, Minghao Mi, Jie Xie, Liang Xu, Aonan Zhang, Lijian Zhang

“…The corresponding measurements are performed by photon detection on certain modes following single-photon mode transformation or two-photon interference. We further propose an adaptive strategy with optimized precision in full-range overlap estimation. …”
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Resource allocation for multi-conductor power-cable carrier communications systems by XU Zhi-qiang1, ZHAI Ming-yue1, ZHAO Yu-ming2

“…Owing to the limitation of lagrange multiplier method used to solve the resource allocation problem with cross-interfere, linear transformation was applying for the transmitting signal and its correlative parameters to decouple channels’ cross-interfere and decompose the complicated allocation problem into multiple simple equivalent channel optimization problems. …”
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Molecularly Imprinted SERS Plasmonic Sensor for the Detection of Malachite Green by Hao Zhang, Dani Sun, Yuhao Wen, Mengyuan Wang, Jingying Huang, Ziru Lian, Jinhua Li

“…Taking full advantage of the plasmonic effect of SERS and selective recognition capability of imprinted materials, under optimized conditions, the sensor demonstrated high sensitivity, with a detection limit of 3.5 × 10⁻³ mg/L, excellent selectivity against interference from other organic dyes, and robust performance with recoveries of 90.2–114.2% in real seawater samples. …”
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Mapping the Carrier Phase of a Propagating Wave by Wireless Two-Way Interferometry Scanned by a Mobile Robot by Takaaki Nara, Yoshito Okada, Shotaro Kojima, Ranulfo Bezerra, Kazunori Ohno, Suguru Kameda, Nobuyasu Shiga, Satoshi Yasuda, Kenichi Takizawa, Satoshi Tadokoro

“…This technology contributes to applications including wireless communication optimization and environmental sensing, especially in visualizing multipath, diffraction, and interference effects.…”
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