Study on remote sensing satellites random access to internet constellation and on-orbit intelligent processing by Xiaoyu CHANG, Weijia ZHANG, Xudong1 LI, Xiaonan ZHANG, Gang WANG, Gang JIA

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Technology Intelligence as a One of the Key Factors for Successful Strategic Management in the Smart World by Anna Adamik

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Transforming Cardiovascular Risk Prediction: A Review of Machine Learning and Artificial Intelligence Innovations by Dimitrios-Ioannis Kasartzian, Thomas Tsiampalis

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Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in England by Jo Waller, Rumana Newlands, Lauren Gatting, Angie A Kehagia, Syeda Ahmed, Priscilla Meccheri

“…Introduction Preliminary studies of artificial intelligence (AI) tools developed to support breast screening demonstrate the potential to reduce radiologist burden and improve cancer detection which could lead to improved breast cancer outcomes. …”
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Satellite-Earth Integration Intelligent Resource Management and Control Architecture of Giant Sensing Constellation by Yingte CHAI, Gang WANG, Chao ZHANG, Guangxi ZHU, Wei FU, Zhengqiang GUO

“…The giant sensing constellation will have the capabilities of on-board automatic processing, on-board independent planning, multisensors and multi-mode automatic switching.The traditional control mode of relying solely on the ground system can no longer meet the requirements of the giant sensing constellation.According to the requirements of intelligent and networked control, an integrated intelligent resource management and control architecture was proposed.It was based on the integration of satellite and earth.The work contents of satellite and earth were specifically designed.The interaction mechanism between satellite and earth was designed.The architecture it proposed could be well applied to the independent resource management and controlled of giant sensing constellation.The architecture realized the ＆quot;networking, autonomy and intelligence＆quot; of the giant sensing constellation and it could played an important role in major national security emergency response and other tasks.…”
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Quality Analysis of Railroad Train Shunting Operation Plan Using the Intelligent Body Model by Tao Yu

“…By studying the structure of intelligent body and multi-intelligent body theory, it decomposes the influencing factors of railroad shunting operation, designs the intelligent body model of each element, and applies it in train shunting operation to improve the quality of railroad shunting operation.…”
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Back Analysis of Rock Hydraulic Fracturing by Coupling Numerical Model and Computational Intelligent Technology by Shaojun Li, Hongbo Zhao, Xiating Feng, Quan Jiang, Qiancheng Sun

“…A computational intelligent method is applied in back analysis. A multioutput support vector machine is used to map the complex, nonlinear relationship between the in situ stress, elastic parameters, and borehole pressure. …”
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Research on the Disease Intelligent Diagnosis Model Based on Linguistic Truth-Valued Concept Lattice by Li Yang, Yuhui Wang, Haixia Li

“…Uncertainty natural language processing has always been a research focus in the artificial intelligence field. In this paper, we continue to study the linguistic truth-valued concept lattice and apply it to the disease intelligent diagnosis by building an intelligent model to directly handle natural language. …”
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Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception by Simon Hanassab, Scott M. Nelson, Artur Akbarov, Arthur C. Yeung, Artsiom Hramyka, Toulin Alhamwi, Rehan Salim, Alexander N. Comninos, Geoffrey H. Trew, Tom W. Kelsey, Thomas Heinis, Waljit S. Dhillo, Ali Abbara

“…In this multi-center study (n = 19,082 treatment-naive female patients), including 11 European IVF centers, we harnessed explainable artificial intelligence to identify follicle sizes that contribute most to relevant downstream clinical outcomes. …”
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Investigation of Turkish and Turkmenistanian Students’ Approaches towards Environmental Ethics and Their Levels of Naturalistic Intelligence by Sibel Gurbuzoglu-Yalmanci, Solmaz Aydin-Beytur

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Protein identification using Cryo-EM and artificial intelligence guides improved sample purification by Kenneth D. Carr, Dane Evan D. Zambrano, Connor Weidle, Alex Goodson, Helen E. Eisenach, Harley Pyles, Alexis Courbet, Neil P. King, Andrew J. Borst

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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

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USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu by Nauman Ul Haq, Mohib Ullah, Rafiullah Khan, Arshad Ahmad, Ahmad Almogren, Bashir Hayat, Bushra Shafi

“…This study proposes USAD (Urdu Slang and Abusive words Detection), a lexicon-based intelligent framework to detect abusive and slang words in Perso-Arabic-scripted Urdu Tweets. …”
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Refusing participation: hesitations about designing responsible patient engagement with artificial intelligence in healthcare by Flora Lysen, Sally Wyatt

Subjects: “…Artificial intelligence (AI)…”
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Improved Population Intelligence Algorithm and BP Neural Network for Network Security Posture Prediction by Yueying Li, Feng Wu

“…To address the problems of low prediction accuracy and slow convergence of the network security posture prediction model, a population intelligence optimization algorithm is proposed to improve the network security posture prediction model of the BP neural network. …”
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Intelligent Fault Diagnosis of Aeroengine Sensors Using Improved Pattern Gradient Spectrum Entropy by Huihui Li, Linfeng Gou, Hua Zheng, Huacong Li

“…Timely and effective fault diagnosis of sensors is crucial to enhance the working efficiency and reliability of the aeroengine. A new intelligent fault diagnosis scheme combining improved pattern gradient spectrum entropy (IPGSE) and convolutional neural network (CNN) is proposed in this paper, aiming at the problem of poor fault diagnosis effect and real-time performance when CNN directly processes one-dimensional time series signals of aeroengine. …”
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On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph by Heling Jiang, Yongping Xia, Changjie Yu, Zhao Qu, Huaiyong Li

Subjects: “…Artificial intelligence methods…”
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Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan. by Muhammad Mustafa Habib, Zahra Hoodbhoy, M A Rehman Siddiqui

“…The advent of artificial intelligence (AI) technologies has emerged as a promising solution to enhance healthcare efficiency and improve patient outcomes. …”
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Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment by Rong ZENG, Xiao HANG

Subjects: “…reconfigurable intelligent surface…”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…In view of these problems, this paper selects China Merchants Bank’s Capricorn Intelligence as the research object, and analyzes the investment efficiency of smart investment based on K-means cluster analysis and data mining technology. …”
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