A Reef’s High-Frequency Soundscape and the Effect on Telemetry Efforts: A Biotic and Abiotic Balance by Frank McQuarrie, C. Brock Woodson, Catherine R. Edwards

“…Acoustic telemetry is a tool for tracking animals, but transmitted signals from tagged animals are not always detected. Detection efficiency declines with increasing background noise, which can have both abiotic and biotic sources. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…This study explores hybrid spectrum sensing techniques, combining matched filter (MF) energy detection (ED) and an equal-gain combining-based energy detection Neyman-Pearson threshold estimation technique (EGC-ED-PTh) to enhance waveform detection accuracy in complex environments. …”
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Melanoma Skin Cancer Recognition with a Convolutional Neural Network and Feature Dimensions Reduction with Aquila Optimizer by Jalaleddin Mohamed, Necmi Serkan Tezel, Javad Rahebi, Raheleh Ghadami

“…Additionally, the AO reduced computational complexity by up to 37.5%. <b>Conclusions:</b> The deep learning-Aquila Optimizer (DL-AO) framework offers a highly efficient and accurate approach for melanoma detection, making it suitable for deployment in resource-constrained environments such as mobile and edge computing platforms. …”
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Determination of Tacrolimus in Plasma by Paper Spray In-situ Mass Spectrometry Based on Multistage Fragmentation by Fei PAN, Shuang YANG, Zi-yu QU, Di ZHANG, Chun-xia WANG, Hong-bin ZHEN, Zi-hong YE, Xin-hua DAI, Xiang FANG, Hai-di JIANG, Jie XIE, You JIANG

“…The results demonstrated a good linear relationship for tacrolimus within the linear range of 5.00 to 1 000.00 μg/L, with a correlation coefficient (R²) of 0.998. The limit of detection and limit of quantitation are 1.00 and 5.00 μg/L, respectively. …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…Additionally, the fitting coefficient attains a value of 0.92. This indicates a high level of recognition and precision exhibited by the proposed model in detecting network security risk behaviors. …”
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Fast fault diagnosis of smart grid equipment based on deep neural network model based on knowledge graph. by Lin Jun, Zhou Chenliang

“…From the current point of view, the existing smart grid equipment fault diagnosis technology has problems that the application program is more complex, and the fault diagnosis rate is generally not high, which greatly affects the efficiency of smart grid maintenance. …”
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300 GHz Wireless Link Based on Whole Comb Modulation of Integrated Kerr Soliton Combs by Tomohiro Tetsumoto, Antoine Rolland

“…The experiment shows that simultaneous modulation and detection of multiple comb lines leads to more than 10 times stronger modulation signal strength compared to two-line detection at the receiver. …”
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The Optical System Design of a Space-Based Wide-Field Infrared Slitless Spectrometer by Yue Chen, Liang Zhou, Peiquan Chen, Pengkai Dong, Haiyang Zhang, Wenji She

“…With the increasingly complex space environment, the operational safety of spacecraft faces severe challenges, creating an urgent need to develop efficient and reliable space target detection and identification technologies. …”
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Dempster Shafer-Empowered Machine Learning-Based Scheme for Reducing Fire Risks in IoT-Enabled Industrial Environments by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, Byungun Yoon

“…Traditional fire detection systems that rely on single IoT sensors, like heat or smoke detectors, are prone to inaccuracies and delayed responses, particularly in noisy or complex industrial environments. …”
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Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

“…Experimental results show significant improvements in model performance and training efficiency, demonstrating the method’s effectiveness in complex power grid environments. …”
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SCNT: an R package for data analysis and visualization of single-cell and spatial transcriptomics by Jianbo Qing, Jialu Wu, Yafeng Li, Junnan Wu

“…SCNT also simplifies key data analysis steps, such as quality control, dimensionality reduction, and doublet detection, significantly enhancing workflow efficiency. …”
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Advancing Trans-Domain Classification With Knowledge Distillation: Bridging LIDAR and Image Data by Jesus Eduardo Ortiz, Werner Creixell

“…Our methodology involves distilling complex model insights into more computationally efficient forms suitable for LIDAR data, thus enabling substantial resource savings without sacrificing performance. …”
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A tutorial on solid-phase analytical derivatization in sample preparation applications by Azamat Temerdashev, Sanka N. Atapattu, Yu-Qi Feng

“…Solid-phase analytical derivatization is a versatile sample preparation technique that enhances analysis accuracy, efficiency, reproducibility, and sensitivity. The technique combines the advantages of analytical derivatization and solid-phase extraction, providing a versatile approach for analysing analytes with various functional groups in complex matrices. …”
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Applying a system dynamics approach for decision-making in software testing projects. by Wang Li, Chih-Chiang Fang

“…This includes factors such as resource allocation, testing efficiency, error detection rates, and the feedback loops among these elements. …”
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Enhancement of optical chaos generator using double delayed feedback by Raghad Ibrahim

“… Chaotic lasers are widely used in secure communication, optical detection and other applications due to their noise-like randomness, excellent anti-jamming and other advantages. …”
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GPR Diffraction Separation by Incorporating Multilevel Wavelet Transform and Multiple Singular Spectrum Analysis by Haolin Wang, Honghua Wang, Zhiyang Hou, Fei Zhou

“…Numerical tests showcase that the biorthogonal wavelet basis function bior4.4 provides remarkably efficient GPR diffraction separation performance, and the number of clusters in the k-means clustering algorithm typically ranges from 9 to 15, accounting for the complexity of the wave components. …”
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Reliable identification method of intrusion personnel in front of underground moving equipment by Bin LIANG, Guang LI, Guangpeng SHAN

“…The trackless tyred vehicle is widely used in coal mine auxiliary transportation system because of its good mobility and high efficiency. Facing the dim and complex scene of coal mine, due to the poor lighting conditions and complex scene in coal mine, the accidents of the underground moving equipment like the trackless tyred vehicle occur frequently, seriously threatening the life safety of operators in the underground coal mine. …”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…The study focuses on assessing their performance in breast cancer diagnosis using key evaluation metrics, including accuracy, specificity, recall (sensitivity), F1-score, Cohen’s Kappa coefficient, receiver operating characteristic (ROC) curve, and the area under the ROC curve (AUC).ResultsIn the binary classification task, due to its relatively low complexity, most models achieved excellent performance. …”
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Ultra-fast [18F]florbetapir PET imaging using the uMI Panorama PET/CT system by Xueqian Yang, Meiqi Wu, Menglin Liang, Haiqiong Zhang, Bo Li, Chenhui Mao, Liling Dong, Yuan Wang, Haiqun Xing, Chao Ren, Zhenghai Huang, Qingxiang Wen, Qi Ge, Zhengqing Yu, Feng Feng, Jing Gao, Li Huo

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Research status and progress on key technologies of intelligent orchard by CUI Hongwei, LU Xiaoxuan, YANG Yaqing, LU Xinyi, MA Hao, JI Jiangtao, JIN Xin, LI Xiuzhen, ZHAO Zimeng, ZENG Ningning

“…Additionally, smart harvesting systems use fruit maturity detection to schedule harvests efficiently, improving productivity while reducing fruit damage. …”
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