Single-walled carbon nanotubes sensors: Preparation and bio-application advances by Xiaotong Chen, Difan Wang, Wenshuo Ding, Hengchang Zang, Lian Li

“…Molecular recognition and detection are the main concerns in the field of biological analysis because they can be affected by various factors. …”
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Leading causes of fever in patients with liver function disorders by V. T. Ivashkin, M. A. Morozova, M. V. Mayevskaya

“…Article presents pathophysiological mechanisms of development of fever. The algorithm of assessment of patient with disorder of liver function and fever is submitted.Original positions. …”
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Research on the Impact Scope of Bus Stations Based on the Application of Bus Lanes by Yi Luo, Dalin Qian

“…Furthermore, this paper proposed an algorithm for detecting communities in the improved bus transfer network to mine the transfer relations between any bus routes, and then, on the basis of the improved bus station network, designed a referable bus travel time and put forward an impact model to calculate the absolute impact and relative impact of bus lanes. …”
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Research on Position Control Method of All-axle Steering System for Autonomous-rail Rapid Tram by HUANG Song, LIU Xiaocong, PENG Jing, XIAO Lei, SU Aijun, LI Xiaoguang

“…And then closed-loop control of the steering system is accomplished by digital PID algorithm.Validation of the control method is carried out by the experiment of the closed-loop PID control strategy and substantial vehicle test.…”
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A Traffic Restriction Scheme for Enhancing Carpooling by Dong Ding, Bin Shuai

“…Then the optimal traffic restriction scheme aiming at minimal total travel cost is designed through a bilevel program and applied to a Sioux Fall network example with genetic algorithm. According to various requirements, optimal restriction regions and proportions for restricted automobiles are captured. …”
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Research and Application of Capacitor Fault Prediction forLocomotive Traction Converter by ZHAN Yanhao, YANG Jiawei, LU Qingsong

“…Capacitor parameters are identified by detecting output voltage ripples of capacitor, and capacitor parameters are fitted based on LS-SVM algorithm to identify the degradation characteristics of capacitor, so as to realize fault prediction of capacitor. …”
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ROLE OF MRI IN THE DIAGNOSIS OF URETERAL OBSTRUCTION IN CANCER PATIENTS (LITERATURE REVIEW) by Y. E. Suraeva

“…The MRI-based accurate diagnostic algorithm for this cohort of patients decreases the number of diagnostic procedures, especially the invasive ones. …”
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Multi-camera video collaborative analysis method based on edge computing by Zhibo QI, Lei DU, Ru HUO, Fan YANG, Tao HUANG

“…In order to reduce the processing volume of multi-camera real-time video data in smart city scenarios, a video collaborative analysis method based on machine learning algorithms at the edge was proposed.Firstly, for the important objects detected by each camera, different key windows were designed to filter the region of interest (RoI) in the video, reduce the video data volume and extract its features.Then, based on the extracted data features, the same objects in the videos from different cameras were annotated, and a strategy for calculating the association degree value between cameras was designed for further reducing the video data volume.Finally, the GC-ReID algorithm based on graph convolutional network (GCN) and re-identification (ReID) was proposed, aiming at achieving the collaborative analysis of multi-camera videos.The experimental results show that proposed method can effectively reduce the system latency and improve the video compression rate while ensuring the high accuracy, compared with the existing video analysis methods.…”
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Error correction in the transmission and processing of information, provided in RNS, by method of syndrome decoding by Nikolay Ivanovich Chervyakov, Nikolay Nikolaevich Nagornov

“…Considered the most widely used algorithms for detecting, locating and correcting errors in the RNS, as well as concrete examples of their use. …”
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SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths by Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi

“…Simultaneous Localization and Mapping (SLAM) algorithms based on visual and light detection and ranging (LiDAR) technologies have shown remarkable capabilities in robot navigation, particularly for mapping and navigating unfamiliar environments. …”
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Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques by Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Gerald Mills, Yan-Fang Sang, Zeting Li, Salman Khan, Jiazheng Han, Francesco Pilla

“…Conventional urbanization transforms natural into paved landscapes, posing a significant environmental challenge. Detecting the changes in (im)pervious surfaces in cities, where patches are small and intermingled, is particularly challenging. …”
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An innovative UAV-based approach for estimating crop stand counts amidst weed infestation by Gurjinder S. Baath, Arun Bawa, Bala Ram Sapkota, K. Colton Flynn, Sayantan Sarkar, Douglas R. Smith

“…However, most existing algorithms assume clean crop rows and do not account for common weed infestation. …”
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Artificial intelligence applied to the study of human milk and breastfeeding: a scoping review by Sergio Agudelo-Pérez, Daniel Botero-Rosas, Laura Rodríguez-Alvarado, Julián Espitia-Angel, Lina Raigoso-Díaz

“…Prediction of exclusive breastfeeding patterns: AI models, such as decision trees and machine learning algorithms, identify factors influencing breastfeeding practices, including maternal experience, hospital policies, and social determinants, highlighting actionable predictors for intervention. 2. …”
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An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

“…Purpose The purpose of this study is to evaluate the efficacy of lower extremity kinematic gait data for detecting and rating the severity of unilateral hip OA using machine learning algorithms. …”
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A Survey on Adversarial Attacks for Malware Analysis by Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Pradip Kunwar, Bhavani Thuraisingham

“…We systematically analyze adversarial generation algorithms from broader domains adapted to malware evasion attacks, proposing a taxonomy of adversarial evasion attacks within malware detection based on target domains(Windows, Android and PDF). …”
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Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images by A. A. Abd El-Aziz, Mahmood A. Mahmood, Sameh Abd El-Ghany

“…Digital image processing (DIP) and deep learning (DL) algorithms can be employed to analyze the HIs of five different types of lung and colon tissues. …”
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Comprehensive Multi-indicator Prediction Model for Storage Quality of Multi-cultivar Kiwifruit Based on Visible-Near Infrared Spectroscopy by Zizhao LIANG, Xin LI, Pu LIU, Wenqiang GUAN, Ming LI

“…Multi-cultivar modeling using visible-near infrared spectroscopy (Vis-NIR) was explored for the rapid non-destructive detection of the internal quality of kiwifruit during storage. …”
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Mobile direct-sequence spread-spectrum underwater acoustic communication based on improved differential energy detector by Peng-yu DU, Long-xiang GUO, Jing-wei YIN, Gang QIAO

“…A Doppler estimation method based on the structural features of spread spectrum signal was proposed,which could achieve real-time Doppler estimation for received spread spectrum signals by energy detecting the result of matching correlation calculation of adjacent received spreading symbols.In addition,this method made full use of the spread spectrum processing gain and could do Doppler estimation under low SNR condition.Improved differential energy detector was further proposed,which can effectively deal with the rapid carrier phase fluctuation interference caused by Doppler effect and time-varying multi-path interference by detecting the output energy of two correlators.Simulation verified the robustness of improved differential energy detector algorithm and the Doppler estimation method based on spread spectrum signal.At-sea data shows that improved differential energy detector combined with the proposed Doppler estimation method can achieve low bit error rate communication for direct-sequence spread spectrum underwater acoustic communication with large time-varying Doppler interference when SNR is −10 dB.…”
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Genome-Wide Tool for Sensitive de novo Identification and Visualisation of Interspersed and Tandem Repeats by Ruslan Kalendar, Ulykbek Kairov

“…To address this challenge, we developed a new algorithm and software that can rapidly and accurately detect any repeated sequences de novo with varying degrees of homology in genomic sequences in interspersed or clustered repeats. …”
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Adaptive Asymmetric Real Laplace Wavelet Filtering and Its Application on Rolling Bearing Early Fault Diagnosis by Shuting Wan, Bo Peng

“…The early fault of rolling bearing is weak and may not be readily detected. To overcome this issue, the present paper comes up with a rolling bearing fault-diagnosing approach based on adaptive asymmetric real Laplace wavelet (ARLW) filtering, which is on the strength of water cycle optimization algorithm (WCA). …”
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