Numerical Simulation Analysis of Different Excavation Parameters for TBM 3D Disc Cutters Based on the Discrete Element Method by Feng Liang, Chenyuan Pei, Weibang Luo, Minglong You, Fei Tan

“…The shield support minimizes surrounding rock collapse, advanced geological forecasting mitigates risks posed by complex geologies, and intelligent monitoring systems improve operational safety. …”
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Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm by Jiahui Wang, Xiangqing Wang, Chaochuan Jia, Cui Yang

“…The black-winged kite algorithm is an intelligent optimization algorithm inspired by the hunting behavior of black-winged kites in nature, and it is designed to solve the problem of global optimization. …”
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Development of Wind-Powered Smart Transition Electric Vehicle Charging Station by Soumya Mohanty, Swagat Pati, Sanjeeb Kumar Kar, Aymen Flah, Claude Ziad El-Bayeh, A. S. Veerendra

“…Among the myriad innovations, electric spring stands out as a cutting-edge technology, embracing the concept of smart load to intelligently manage power systems. Concurrently, the emergence of electric vehicles (EVs) has paved the way for a new branch of power networks in the transport system. …”
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Automotive ethernet controller authentication method based on national cryptographic algorithms by Hui GUO, Yong LUO, Xiaolu GUO

“…With the development of intelligent and connected cars, cyber security of automotive ethernet becomes the focus of automotive industry.Authentication is one of the key technologies for automotive ethernet security.The existing authentication methods have shortcomings to meet the requirements of both safety and electronic controllers’ performance.Besides, national cryptographic algorithms are becoming a trend for automotive network security, while the related research in automotive ethernet area is still in starting phase.In order to balance the limited computing performance of electronic controllers and high security requirements of automotive ethernet, a two-stage trust chain authentication method based on national cryptographic algorithms was proposed.The method can be used in different automotive ethernet topologies.A trust chain was built up based on authentication credentials, which linked the two authentication stages, namely the initial stage and the vehicle using stage.The initial stage was triggered by diagnosis instrument at end of line or controller replacement.It deployed complete authentication based on SM2 algorithm and certificates in the initial stage.The vehicle using stage was triggered by ethernet gateway at vehicle power-on or network wakeup.In this stage, the method deployed fast authentication based on SM4 algorithm and authentication credential trust chain.The authentication credentials for trust chain were generated by credential functions.In order to ensure security, each credential was generated based on last successful authentication parameters dynamically.The test results on automotive ethernet controllers show that the method has lower computing cost and higher security level, and it can guarantee both performance and security.…”
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Feasibility of Using H3PO4/H2O2 in the Synthesis of Antimicrobial TiO2 Nanoporous Surfaces by Benjamín Valdez-Salas, Ernesto Beltrán-Partida

“…Our work opens a new path for the rationale design of nanobiomaterials with “intelligent surfaces” capable of decreasing microbial adhesion, increasing osteoblast viability, and being scalable for industrial transfer.…”
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Anonymous Authentication Scheme Based on Physically Unclonable Function and Biometrics for Smart Cities by Vincent Omollo Nyangaresi, Ahmad A. AlRababah, Ganesh Keshaorao Yenurkar, Ravikumar Chinthaginjala, Muhammad Yasir

“…ABSTRACT Smart cities amalgamate technologies such as Internet of Things, big data analytics, and cloud computing to collect and analyze large volumes of data from varied sources which facilitate intelligent surveillance, enhanced energy management systems, and environmental monitoring. …”
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R-CNN Based Vehicle Object Detection via Segmentation Capabilities in Road Scenes by Bisma Riaz Chughtai, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Jeongmin Park

“…In the realm of intelligent transportation systems, vehicle detection and classification stand as pivotal tasks. …”
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Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

“…This research endeavors to fortify the security posture of Software-Defined Networks (SDN) through the strategic utilization of intelligent machine learning techniques, with a primary focus on mitigating detrimental Denial of Service (DoS) attacks. …”
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Dynamic Spatiotemporal Causality Analysis for Network Traffic Flow Based on Transfer Entropy and Sliding Window Approach by Senyan Yang, Lianju Ning, Xilong Cai, Mingyu Liu

“…The potential information and regularity of traffic state evolution can be extracted from the huge traffic flow time series data and applied to intelligent transportation systems. This study proposes a dynamic spatiotemporal causality modeling approach to analyze traffic causal relationships for the large-scale road network. …”
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Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health by Lanfeng Zhou

“…Firstly, the paper summarizes the fast intelligent analysis model based on the convolutional neural network system algorithm, classifies and summarizes the unique characteristics of college students’ mental health, and uses the convolutional neural network processing model to analyze, evaluate, and observe college students’ mental health combined with the big data theory. …”
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Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design by Bin Hu

“…The method is effective, accurate, and intelligent for the classification of landscape element design, which better improves the accuracy of classification, greatly reduces the cost of landscape element design classification, and ensures that the technical method is feasible. …”
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TDOA-based WSN localization with hybrid covariance matrix adaptive evolutionary strategy and gradient descent distance techniques by V.G. Saranya, S. Karthik

“…Wireless Sensor Networks (WSNs) play a vital role in modern intelligent systems, with localization techniques critical for determining the precise positions of sensor nodes. …”
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An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain by Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis

“…For this purpose, historical data can be analyzed to improve demand forecasting by using various methods like machine learning techniques, time series analysis, and deep learning models. In this work, an intelligent demand forecasting system is developed. …”
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A Graphene/MXene-Modified Flexible Fabric for Infrared Camouflage, Electrothermal, and Electromagnetic Interference Shielding by Xianguang Hou, Ziyi Zang, Yaxin Meng, Tian Wang, Shuai Gao, Qingman Liu, Lijun Qu, Xiansheng Zhang

“…With their superior infrared camouflage, thermal management, and electromagnetic shielding performance, graphene/MXene-modified fabrics have found extensive use in intelligent wearables and military applications.…”
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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

“…This study not only provides scientific methods and tools for the evaluation and prediction of coal seam mining mode but also contributes to the intelligent development of the coal mining industry.…”
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Identifying Tomato Growth Stages in Protected Agriculture with StyleGAN3–Synthetic Images and Vision Transformer by Yao Huo, Yongbo Liu, Peng He, Liang Hu, Wenbo Gao, Le Gu

“…This augmented dataset is then processed using a Vision Transformer (ViT) model for intelligent recognition of tomato growth stages within a protected agricultural environment. …”
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‘I roll my cigarette, and cycle to my club’: Playing with Stereotypes and Subverting Anti-Feminism in New Woman Writers’ Contributions to Punch by Katy Birch

“…The article will also explore how these authors, who were both intelligent, independent women who earned money through writing, made use of humour while publishing in a periodical in which such women were generally the targets of humour rather than the originators of it. …”
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Analysing the trend of land changes and urban development of Shushtar by using remote sensing data by milad khayat, Atefeh Bosak, zahra hejazizadeh, ebrahim afifi

“…The land use change map, resulting from the change detection process, can be generated based on multi-temporal remote sensing images and their integration with urban land use maps, enabling an analysis of the associated consequences. The use of intelligent algorithms in this research has facilitated modeling with a high level of accuracy. …”
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Dynamic Reliability Analysis of Flying Car Gear Transmission System by Tianyu Mao, Yong Yu, Huaiju Liu, Caichao Zhu, Genshen Liu

“…As a new type of transportation for future urban air transportation，flying cars are intelligent，efficient and convenient. As a key component of the power transmission of a flying car，the safety and reliability of gear transmission has become a difficult problem restricting the development of flying cars. …”
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The Construction of Corporate Financial Management Risk Model Based on XGBoost Algorithm by Rongyuan Qin

“…With the continuous development of intelligent algorithms and machine learning algorithms, new ideas have been brought to enterprise financial risk assessment. …”
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