Design of Dual-Band MIMO Array Antenna and Its Characterization for Urban Millimeter Wave Channel Conditions by B. G. Parveez Shariff, Tanweer Ali, Satish Kumar Sharma, Qammer H. Abbasi, Masood Ur-Rehman, Yahia M. M. Antar, Pradeep Kumar, Pallavi R. Mane, Sameena Pathan

“…The multiple-input-multiple-output (MIMO) antenna improves the channel capacity, and the array antenna improves the channel condition. A combined feature benefits the current cellular and other 5G applications. …”
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Near real-time land surface temperature reconstruction from FY-4A satellite using spatio-temporal attention network by Ruijie Li, Hequn Yang, Xu Zhang, Xin Xu, Liuqing Shao, Kaixu Bai

“…Land Surface Temperature (LST) is a critical parameter for climate studies and land surface process models as it indicates ground surface temperature variations across landscapes and timescales. …”
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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

“…For example, low-level feature fusion utilizes basic attributes such as color, shapes and texture to distinguish fruits from backgrounds, while high-level feature learning employs more complex models like convolutional neural networks to interpret the contextual relationships within the data. …”
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Shear strength and crushing characteristics of calcareous sand in South China Sea under the influence of three factors by Jianfeng ZHU, Ting LI, Luying JU, Hao YANG

“…A comparative analysis was performed with the test results of terrestrial silica sand, namely Chinese standard sand and Fujian intermediate sand. …”
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Smart Fault Detection, Classification, and Localization in Distribution Networks: AI-Driven Approaches and Emerging Technologies by Jianxian Wang, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Hazlee Azil Illias, Agileswari K. Ramasamy, Xingyu Wu, Siqi Wang

“…The review further distinguishes between artificial intelligence-based smart approaches that directly process raw distribution networks signal data and those that rely on advanced feature extraction techniques to enhance functional performance. …”
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Inversion Methods of Soil Hydraulic Parameters Based on Hyperspectral Characteristics by WU Yanmei, ZHU Han, LI Ji, LI Zixin, HE Jianliang, LIN Kairong, ZHUANG Luwen, DONG Chunyu

“…For the bare land types, the coefficient of determination <italic>R</italic>_P² for all hydraulic characteristic parameters, except soil moisture content <italic>θ</italic>, is greater than 0.9, and RPD exceeds 2.0. ③ In most hydraulic characteristic models predicting the grassland types, the feature importance of the leaf area index(LAI) is the highest. …”
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Constraints on non-unitary neutrino mixing in light of atmospheric and reactor neutrino data by Tetiana Kozynets, Philipp Eller, Alan Zander, Manuel Ettengruber, D. Jason Koskinen

“…In this study, we perform a Bayesian analysis of the non-unitary mixing model using the recent public data from atmospheric and reactor neutrino experiments — namely IceCube-DeepCore, Daya Bay, and KamLAND. …”
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Unsupervised Segmentation and Classification of Waveform-Distortion Data Using Non-Active Current by Andrea Mariscotti, Rafael S. Salles, Sarah K. Rönnberg

“…Data are processed with a deep autoencoder for feature extraction and then clustered via k-means to allow identification of patterns in the latent space. …”
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Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population by Rooge Suvanasuthi, Suwanit Therasakvichya, Potjanee Kanchanapiboon, Chamras Promptmas, Sarin Chimnaronk

“…The study identified a shared 18-miRNA panel for both tissue and discharge, with which the prediction model distinguished HSIL and AIS from normal samples with an accuracy of 90.9%. …”
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BreastCNet: Breast Cancer Detection, Classification, and Localization Convolutional Neural Network With Advanced Optimization Techniques by Hassan Mahichi, Vahid Ghods, Mohammad Karim Sohrabi, Arash Sabbaghi

“…GWO fine-tuned neuron counts in dense layers to enhance feature learning, while PO dynamically adjusted the learning rate to improve convergence. …”
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Experimental and regression analysis of chicken feather-based chopped glass fibre mat hybrid composites by Lokesh K S, Shrinivasa Mayya D, Santhosh Kumar T C, Somaiah K S, Sharath Chandra H S, Varun Kumar K R, Sneha, Pavan Kumar P M

“…It was found that polynomial regression model of cubic order correlates well with experimental data, yielding the regression coefficient(R2) value of 99.99 %. …”
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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…Based on graph convolutional neural networks, analyze the target load of cloud platforms, construct multi hop data transmission paths one by one, and perform deep level information load balancing; Establish a multiplexing information transmission model, correct the initial weights of graph convolutional neural networks, combine reverse transmission calculation methods, integrate and balance cloud computing resources, and confirm the optimal resource scheduling plan; Integrating class convolution and human-machine interaction attention mechanism, the value of the previous time series neural unit is transferred to the current neural unit, and the classification output sequence of knowledge graph relational data feature fragments is analyzed. …”
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Influenza Virus Reassortment Is Enhanced by Semi-infectious Particles but Can Be Suppressed by Defective Interfering Particles. by Judith M Fonville, Nicolle Marshall, Hui Tao, John Steel, Anice C Lowen

“…A high particle to infectivity ratio is a feature common to many RNA viruses, with ~90-99% of particles unable to initiate a productive infection under low multiplicity conditions. …”
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Stability and process control of single-diamond grinding based on clustering of processing morphology data by Xinyu XU, Xiansong HE, Zhaojie CHEN, Jingying ZHANG, Linfeng YANG, Jin XIE

“…Firstly, the dynamic modeling of the single point diamond grinding system is carried out, and the grinding vibration signal is measured by an accelerometer. …”
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Efficient Recognition of the Propagated Orbital Angular Momentum Modes in Turbulences With the Convolutional Neural Network by Zikun Wang, Maxime Irene Dedo, Kai Guo, Keya Zhou, Fei Shen, Yongxuan Sun, Shutian Liu, Zhongyi Guo

“…Recently, convolutional neural network (CNN), as a model of deep learning, has been widely applied to machine vision. …”
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Detection of Driver Drowsiness Using Adaptive Eye Characteristic Ratio for Enhanced Road Safety by Puneet Singh Lamba, Rimjhim Jain, Shakir Khan, Sultan M. Alanazi, Achin Jain, Abu Taha Zamani, Arvind Panwar, Alsadig Mohammed Adam Abdallah

“…The mechanism employs an eye monitoring system that uses eye feature points to detect whether a driver&#x2019;s eye is tired and delivers an alert if the driver is drowsy. …”
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Association between international normalized ratio-to-albumin ratio and mortality in critically ill patients with gastrointestinal bleeding: a retrospective MIMIC-IV database study by Xingyi Yang, Shasha Ying, Lihong Lv, Yishu Ji, Jiaqian Ying, Huyan Ke

“…Subgroup analyses were performed to examine potential interaction effects, and feature selection was executed via the Boruta algorithm. …”
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Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning by Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

“…Implicit importance was assessed by feature importance from the random forest classification models, which classify the three pattern for general differentiation and perform binary classification for specific types. …”
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Signatures of Six Autophagy‐Related Genes as Diagnostic Markers of Thyroid‐Associated Ophthalmopathy and Their Correlation With Immune Infiltration by Qintao Ma, Yuanping Hai, Jie Shen

“…Gene ontology analysis (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to perform the enrichment analysis of AR‐DEGs. LASSO regression, support vector machine recursive feature elimination, and random forest were performed to screen for disease signature genes (DSGs), which were further validated in another independent validation dataset. …”
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Expert decision-making in clinicians: An auto-analytic ethnographic study of operational decision-making in urgent care. by Nicola Irvine, Robert Van Der Meer, Itamar Megiddo

“…A grounded theoretical model of expert decision-making was created via Gioia Methodology. …”
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