Variation analysis of fruit traits of jujube seedlings and screening of excellent germplasm by JI Yinzhong, CHEN Youfu, YAN Fenfen, WANG Jiurui, LIU Mengjun

“…[Conclusion] A total of 13 excellent fresh jujube germplasm resources with a comprehensive taste were selected through gray correlation analysis, along with 5 outstanding germplasm resources for dried jujude processing with a drying rate of ≥42.00%. Additionally, 12 specific germplasm resources were identified, including 4 resources with soluble sugar content ≥30.00%, 3 resources with titratable acid content ≥1.40%, and 5 resources with vitamin C content ≥591.00 mg·100 g-1.…”
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Comparative Analysis And Evaluation Of Occupational Stress In Control Activities by Petya Georeva, Tanja Kuneva, Desislava Bakova, Kiril Karamfiloff, Jivka Stoykova

“…The inspectors were men and women aged from 24 to 70. The statistical processing of data utilized the SPSS software version 17, at a significance level of p…”
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Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review by ShiYing Shen, Wenhao Qi, Jianwen Zeng, Sixie Li, Xin Liu, Xiaohong Zhu, Chaoqun Dong, Bin Wang, Yankai Shi, Jiani Yao, Bingsheng Wang, Xiajing Lou, Simin Gu, Pan Li, Jinghua Wang, Guowei Jiang, Shihua Cao

“…We included 42 peer-reviewed studies that used passive sensing from wearables or smartphones with ML to monitor clinically diagnosed mental disorders, such as depression and anxiety. Data were synthesized across technical dimensions (data collection, preprocessing, feature engineering, and ML models) and clinical associations, with behavioral features categorized into 8 domains. …”
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Automated and efficient Bangla signboard detection, text extraction, and novel categorization method for underrepresented languages in smart cities by Tanmoy Mazumder, Fariha Nusrat, Abu Bakar Siddique Mahi, Jolekha Begum Brishty, Rashik Rahman, Tanjina Helaly

“…This is achieved using the YOLOv9-s model, optimized with custom learning rate adaptation for enhanced precision and efficiency. …”
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Advances in application of photon-counting CT for pancreatic imaging by HUANG Ruikun, YANG Yanzhao, CHAI Weimin

“…The core technical principles of PCCT include physical characteristics such as high photon-flux processing by photon-counting detectors, K-edge imaging, and multi-energy threshold data acquisition modes. …”
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Retracted: Fast Recognition Method of Football Robot’s Graphics From the VR Perspective by Zhen Bai, Liang Wang, Sheng Zhou, Yuan Cao, Ying Liu, Jie Zhang

“…PA-SIFT algorithm is used to quickly identify the graphics. Data verification results show that the recognition rate of the PA-SIFT algorithm can reach 96%, ensuring the real-time and feasibility of the algorithm. …”
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A Drone-Based Approach for Radiometric Mapping of Gamma Radiation by Felipe Mamed, Alessandra Vaz, Ary Machado, Joana Batista, Jonathan Oliveira, Paulo Silveira, Paulo Iack, Paulo Barreto, William Henrique, Wallace Vallory

“…After processing the data collected by the drone, a dose profile was reconstructed, allowing for a satisfactory estimation of the location where the Cesium-137 source was positioned based on the radiation peak. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Some areas of applications of ML algorithms include cluster analysis, pattern recognition, image processing, natural language processing, and medical diagnostics. …”
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Fuzzy control system of multioperational machine status by Andrey K. Tugengold, Andrey I. Izyumov, Roman N. Voloshin, Mikhail Y. Solomykin

“…They provide the possibility, under managing, to adapt to the emerging situation and to predict state changes when processing the parts. The monitoring functions include not only the processing of data obtained from the test units of the mechatronic system and external equipment, but both the forecasting of the residual dimensional tool life and the durability for the period of normal wear and tear. …”
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Thermal Degradation of β-Carotene from Macauba Palm: Mathematical Modeling and Parameter Estimation by Pedro Prates Valério, Amanda Lemette Brandão, Jesus Maria Frias Celayeta, Erika Cristina Cren

“…The model with a single reaction was highly suited to handle the experimental data available, and the dependency of its rate constant on temperature was expressed according to Arrhenius law. …”
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A LINEAR SIMULATION MODEL FOR OPTIMIZING CROP STRUCTURE IN ORDER TO MAXIMIZE INCOME IN A VEGETAL AGRICULTURAL FARM by Sorin IONITESCU

“…Emphasis is placed on the development of software products for the design and implementation of high-performance remote data processing systems and database management systems, along with a sustained concern for professional training of users and providing technical assistance to production units. …”
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Construction and validation of a clinicopathologic signature for predicting the prognosis of stage II and III colorectal cancer by Weiqiang You

“…Data processing and data analysis were performed in the R language. …”
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Passive indoor human daily behavior detection method based on channel state information by Xiaochao DANG, Yaning HUANG, Zhanjun HAO, Xiong SI

“…The daily behavior detection of indoor human based on CSI is developing rapidly in the field of WSN.At present,most of the research is still in the environment of 2.4 GHz,so the detection rate,robustness and overall performance still need to be improved.In order to solve this problem,a passive indoor human behavior detection method HDFi (Human Detection with Wi-Fi) based on CSI signal was proposed.The method was used to detect the indoor human daily behavior in a 5 GHz band environment,which was divided into three steps:data acquisition,data processing,feature extraction,online detection.Firstly,the experiment collected typical daily behavioral data in complex laboratory and relatively empty meeting room.Secondly,the amplitude and phase data with more obvious features were extracted and processed by low-pass filtering to obtain a set of stable and noise-free data,and then the fingerprint database was established effectively.Finally,in the real-time detection stage,the collected data features were classified by SVM algorithm to extract more stable eigenvalues,and a classification model of indoor human daily behavior detection was established,and then matched the data in the fingerprint database.The experimental results show that the proposed method has the characteristics of high efficiency,high precision and good robustness,and the method does not need any testing personnel to carry any electronic equipment,so it has high practicability.…”
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AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation by Marta Narigina, Agris Vindecs, Dušanka Bošković, Yuri Merkuryev, Andrejs Romanovs

“…Our approach involves rigorous data preprocessing, feature engineering, and ensemble techniques to optimize the predictive performance. …”
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Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

“…Comparative experiments against heuristic and AI-based baselines revealed statistically significant improvements: a 25% increase in processing throughput, a 20% reduction in energy consumption, and a 60% decrease in error rate. …”
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Continuous Top-k Contour Regions Querying in Sensor Networks by Shangfeng Mo, Hong Chen, Cuiping Li, Deying Li, Yinglong Li

“…WSNs can be seen as a new type of distributed database systems. The data query processing is very important for WSNs. …”
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Unsupervised intrusion detection model based on temporal convolutional network by LIAO Jinju, DING Jiawei, FENG Guanghui

“…Most existing intrusion detection models rely on long short-term memory (LSTM) networks to consider time-dependencies among data. However, LSTM’s sequential data processing significantly increases computational complexity and memory consumption during training. …”
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Arsitektur Sistem Percakapan Otomatis Berbahasa Indonesia dengan Normalisasi Bahasa Informal Menjadi Baku by Muhammad Fathur Rahman Khairul, Rizal Setya Perdana

“…Performa ini dapat diraih dengan konfigurasi hiperparameter yaitu Adam optimizer dengan learning rate 1e-4, batch size sebesar 16 dan dropout rate sebesar 0,5.   …”
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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

“…The objectives were to develop and test automated image selection and intraoral plaque-scoring (primary outcome measure in a prevention trial for preschoolers).Methods Evaluating 1650 plaque-disclosed primary teeth (teeth D, E, F, G) from 435 photographs from UCSF/UCLA clinical trials, data were cleaned, transformed, and modeled with statistical and machine learning (ML) algorithms; data visualizations utilized Jupyter Notebooks, Python, OpenCV, and Sci-kit Learn libraries, with Laplacian filter preprocessing. …”
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Optimizing Stroke Risk Prediction: A Primary Dataset‐Driven Ensemble Classifier With Explainable Artificial Intelligence by Md. Maruf Hossain, Md. Mahfuz Ahmed, Md. Rakibul Hasan Rakib, Mohammad Osama Zia, Rakib Hasan, Md. Rakibul Islam, Md. Shohidul Islam, Md Shahariar Alam, Md. Khairul Islam

“…Methods We applied several preprocessing techniques, including outlier detection, data normalization, k‐means clustering, and missing value detection, to refine the datasets. …”
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