Discrimination of Nasopharyngeal Carcinoma from Noncancerous Ex Vivo Tissue Using Reflectance Spectroscopy by Zhihong Xu, Wei Huang, Duo Lin, Shanshan Wu, Maowen Chen, Xiaosong Ge, Xueliang Lin, Liqing Sun

“…Reflectance spectroscopy is a low-cost, nondestructive, and noninvasive method for detection of neoplastic lesions of mucosal tissue. …”
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FORCETRACKER: A versatile tool for standardized assessment of tissue contractile properties in 3D Heart-on-Chip platforms. by José M Rivera-Arbeláez, Milica Dostanić, Laura M Windt, Jeroen M Stein, Carla Cofiño-Fabres, Tom Boonen, Maury Wiendels, Albert van den Berg, Loes I Segerink, Christine L Mummery, Pasqualina M Sarro, Berend J van Meer, Marcelo C Ribeiro, Massimo Mastrangeli, Robert Passier

“…The software uses a shape-detection algorithm to single out and track the movement of pillars' tips for the most common shapes of EHT platforms. …”
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A Cascaded Approach for Correcting Ionospheric Contamination with Large Amplitude in HF Skywave Radars by Yajun Li, Yinsheng Wei, Rujiang Guo, Rongqing Xu, Zhuoqun Wang, Xiudong Tang

“…At the second correction step, based on the phase gradient algorithm (PGA) is exploited to eliminate the residual contamination. …”
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Optimizing Tonpilz Transducer Transmission Through Impedance Matching and Head Mass Structure by Yang Gou, Shenhai Ye, Xin Fu, Fanghua Zheng, Xuzhong Zha, Cong Li

“…The bandwidth and output power of underwater acoustic transmitters are important for high-performance sonar detection systems. A mismatch between the impedance of the transducer and the transmitting circuit results in a low power factor, significantly limiting the sonar’s operating bandwidth and detection range. …”
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Navel Orange Maturity Classification by Multispectral Indexes Based on Hyperspectral Diffuse Transmittance Imaging by Xuan Wei, Jin-Cheng He, Da-Peng Ye, Deng-Fei Jie

“…It will greatly help to develop low-cost and real-time multispectral imaging systems for the nondestructive detection of fruit quality in the industry.…”
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Block-segment search of local extrema of images based on analysis of brightnesses of related pixels and areas by A. T. Nguyen, V. Yu. Tsviatkou

“…The aim of the work is to develop an algorithm for extracting local extremes of images with low computational complexity and high accuracy. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Closed form expressions for each variable are derived and combined with convex optimization algorithms to achieve low-complexity solutions. The simulation results show that radar detection and communication transmission using the proposed method form a “point-to-point” pattern on the two-dimensional plane of range and angle, exhibiting good RF stealth capability. …”
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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification by Mohammed Al-Shalabi, Mohammed A. Mahdi, Malik Braik, Mohammed Azmi Al-Betar, Shahanawaj Ahamad, Sawsan A. Saad

“…Although Convolutional Neural Networks (CNNs) and meta-heuristic algorithms have proven effective in solving real-world problems, their use in low-contrast pavement crack images is worth investigating. …”
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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

“…To solve the model, an algorithm incorporating the NSGA-II algorithm and SAA method is proposed. …”
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Cross-Network User Identity Linkage Method with Deep Learning Based on SDNE Embedding Representation by CHENG Jialin, YUAN Deyu, SUN Zeyu, CHEN Ziyan

“…Mining the correlation between massive virtual identities and determining the identity of different virtual identities are of great significance for accurate user recommendation, abnormal user detection, public opinion control and so on. In order to determine whether users from two different social networks belong to the same natural person, a deep learning algorithm based on SDNE (structural deep network embedding) embedding expression (eSUIL) is proposed to solve the problem of cross-network user identity linkage, and a unified framework is constructed. …”
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An Equipment Identification Method Based on Lightweight CenterNet from Multivariate Features Fusion for Distribution Area by WANG Wenbin, FAN Ruixiang, DENG Zhixiang, WAN Junbiao, PAN Jianbing

“…Considering the lack of computing power of embedded devices, the CenterNet algorithm adopts a variety of lightweight processing, including reducing the size of input data, optimizing the network structure and reasoning structure, pruning and other operations, so that the data detection speed is increased from 1720 ms to 322 ms, which can achieve the goal of real-time processing on the premise of meeting the accuracy requirements and provides an effective means for the subsequent design and optimization of the distribution station area.…”
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An Intelligent Fault Diagnosis Model for Rolling Bearings Based on IGTO-Optimized VMD and LSTM Networks by Xianglong Luo, Fengrong Yu, Jing Qian, Biao An, Nengpeng Duan

“…The IGTO algorithm is used to optimize the parameters of VMD and LSTM, enhancing signal decomposition and feature extraction. …”
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A Combination Positioning Method for Boom-Type Roadheaders Based on Binocular Vision and Inertial Navigation by Jiameng Cheng, Dongjie Wang, Jiming Liu, Pengjiang Wang, Weixiong Zheng, Rui Li, Miao Wu

“…To deal with the problem of position detection inaccuracies caused by the accumulation of errors in inertial navigation measurements over time and disturbances from body vibrations to the combined positioning system, an Adaptive Derivative Unscented Kalman Filtering (ADUKF) algorithm is proposed, which can suppress the impact of process variance uncertainties on the filtering. …”
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Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation by Yu LIU, Junhao ZHANG, Xue YAO, Xianxiang YU, Guolong CUI

“…To address the low data rate issue in the design of Dual-Function Radar-Communication (DFRC) waveforms with radar detection as the primary function, this paper proposes an information modulation method for multiple sub-pulse structure waveforms called Sub-pulse Hybrid Modulation (SHM). …”
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A Novel Entropy-Based Approach for Thermal Image Segmentation Using Multilevel Thresholding by Thaweesak Trongtirakul, Karen Panetta, Artyom M. Grigoryan, Sos S. Agaian

“…The framework’s versatility suggests promising applications in brain tumor detection, optical character recognition, thermal energy leakage detection, and face recognition.…”
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Automated 3D defect inspection in shield tunnel linings through integration of image and point cloud data by Hongwei Huang, Shuyi Liu, Mingliang Zhou, Hua Shao, Qingtong Li, Phromphat Thansirichaisree

“…However, the inability of cameras to accurately capture 3D spatial coordinates complicates tasks such as 3D visualization, while the relatively low resolution of laser scanners makes it difficult to detect small defects such as microcracks. …”
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Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis. by Jia Wei, Kevin Yuan, Augustine Luk, A Sarah Walker, David W Eyre

“…Defining CAP as present when detected by any algorithm produced sensitivity and specificity of 0.873 and 0.905 respectively. …”
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Review of iris segmentation and recognition using deep learning to improve biometric application by Rasheed Hind Hameed, Shamini Sara Swathy, Mahmoud Moamin A., Alomari Mohammad Ahmed

“…Besides, that DL in iris detection requires large training datasets and is challenging to use with noisy or low-quality photos. …”
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Fault diagnosis and fault-tolerant control strategy for interleaved boost DC/DC converter dedicated to PEM fuel cell applications. by Belkheir Abdesselam, Amar Benaissa, Ouahid Bouchhida, Samir Meradi, Mohamed Fouad Benkhoris

“…To address these drawbacks and achieve both accurate reference tracking with desired dynamic response and rapid fault detection, an algorithm based on current-slopes are proposed. …”
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Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano by H. M. Mohan, S. Anitha, Rifai Chai, Sai Ho Ling

“…We propose a model, which is cost-effective and consumes low power for onboard detection of vital signs of myocardial infarction and evaluated the metrics to achieve a mean average precision of 76.4% and an average recall of 80%.…”
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