Stability-indicating spectrophotometric quantification of safinamide in the presence of its possible degradation product by Ebraam B. Kamel, Omar M El-Abassy

“…Moreover, the process of obtaining pure SAF DEG offers substantial economic benefits by obviating the need to acquire a costly constituent. The use of intelligent techniques was employed to analyze the pharmaceutical dosage form, potentially offering significant advantages to the pharmaceutical industry.…”
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Automation of quantum dot measurement analysis via explainable machine learning by Daniel Schug, Tyler J Kovach, M A Wolfe, Jared Benson, Sanghyeok Park, J P Dodson, J Corrigan, M A Eriksson, Justyna P Zwolak

“…This is because CNNs sacrifice prediction and model intelligibility for high accuracy. To ameliorate this trade-off, a recent study introduced an image vectorization approach that relies on the Gabor wavelet transform (Schug et al 2024 Proc. …”
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Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost by Bo Sun, Tuo Sun, Pengpeng Jiao

“…Traffic prediction is highly significant for intelligent traffic systems and traffic management. eXtreme Gradient Boosting (XGBoost), a scalable tree lifting algorithm, is proposed and improved to predict more high-resolution traffic state by utilizing origin-destination (OD) relationship of segment flow data between upstream and downstream on the highway. …”
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Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning by Mofadal Alymani, Lenah Abdulaziz Almoqhem, Dhuha Ahmed Alabdulwahab, Abdulrahman Abdullah Alghamdi, Hussain Alshahrani, Khalid Raza

“…Through this innovative solution, we aim to enhance urban mobility and alleviate the challenges associated with urban parking congestion, thereby resolving the problem of intelligent parking for smart cities with the help of machine learning.…”
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Neuron-inspired CsPbBr3/PDMS nanospheres for multi-dimensional sensing and interactive displays by Junhu Cai, Xiang Zhang, Yu Chen, Wenzong Lai, Yun Ye, Sheng Xu, Qun Yan, Tailiang Guo, Jiajun Luo, Enguo Chen

“…Abstract Multifunctional materials have attracted tremendous attention in intelligent and interactive devices. However, achieving multi-dimensional sensing capabilities with the same perovskite quantum dot (PQD) material is still in its infancy, with some considering it currently challenging and even unattainable. …”
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Three-Dimensional Point Cloud Displacement Analysis for Tunnel Deformation Detection Using Mobile Laser Scanning by Mahamadou Camara, Liying Wang, Ze You

“…This study introduces an advanced methodology for analyzing tunnel cross-section displacements, leveraging point cloud data captured by the Self-Mobile Intelligent Laser Scanning System (SILSS), a Mobile Laser Scanning (MLS) platform capable of rapid and detailed 3D mapping of shield tunnels. …”
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Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network by Wenhao Jiang, Yunpeng Xiao, Yanbing Liu, Qilie Liu, Zheng Li

“…Because traffic flow data has complex spatial dependence and temporal correlation, it is a challenging problem for researchers in the field of Intelligent Transportation to accurately predict traffic flow by analyzing spatio-temporal traffic data. …”
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Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study by Yuanjun Guo, Zhile Yang, Shengzhong Feng, Jinxing Hu

“…This paper reviews the key technologies of Big Data management and intelligent machine learning methods for complex power systems. …”
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Features of online sociological studies of risks of financial behavior of the population in the information and communication network Internet by M. Kibakin

“…Separately, the characteristic of the obtained primary sociological data has been given by the method of technological access – analysis of blogs, the use of search engines for keywords, the inclusion of intelligent monitoring systems and analysis of social media, which are implemented either on stationary or mobile computer devices. …”
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Multimodal Fusion and Cutting-Edge AI-Based Smart Vending Machines for Electronic Component Management by M. Karthiga, Syarifah Bahiyah Rahayu, E. Suganya, S. Sankarananth, S. Sountharrajan, K. Venkatesan

“…The Multimodal Annotation Fusion (MAF) method enhances a carefully chosen dataset with various attributes and multimodal annotations, laying the groundwork for a robust and intelligent recognition system. YOLO v8 and transfer learning are integrated along with custom loss functions and model optimisation to produce a model that significantly outperforms existing solutions. …”
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Lee Silverman Voice Treatment to Improve Speech in Parkinson’s Disease: A Systemic Review and Meta-Analysis by Tingting Pu, Min Huang, Xiangyu Kong, Meng Wang, Xiangling Chen, Xixi Feng, Changyou Wei, Xiechuan Weng, Fan Xu

“…Furthermore, the LSVT training significantly increased the participants’ scores on unified Parkinson’s disease rating scale (UPDRS-III) and speech intelligibility. Conclusion. This meta-analysis demonstrated the efficacy of LSVT in increasing vocal loudness and functional communication among individuals with PD. …”
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Unifying spatiotemporal and frequential attention for traffic prediction by Qi Guo, Qi Tan, Jun Tang, Benyun Shi

“…Abstract Intelligent transportation systems heavily rely on forecasting urban traffic flow, and a variety of approaches have been developed for this purpose. …”
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Analysis and Prediction of Hydraulic Support Load Based on Time Series Data Modeling by Yi-Hui Pang, Hong-Bo Wang, Jian-Jian Zhao, De-Yong Shang

“…The smart prediction methods of support load are important for achieving intelligent mining. In this paper, the hydraulic support load data is decomposed into trend term, cycle term, and residual term, and it is found that the data has clear trend and period features, which can be called time series data. …”
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Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces by Olatunbosun Agbo-Ajala, Serestina Viriri

“…Significant improvements have been made in this research area due to its usefulness in intelligent real-world applications. However, the traditional methods on the unfiltered benchmarks show their incompetency to handle large degrees of variations in those unconstrained images. …”
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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features by Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri

“…We selected patients meeting the Sepsis-3 criteria from the Multi-parameter Intelligent Monitoring in Intensive Care (MIMIC III) database, resulting in a total of 20,496 ICU admissions. …”
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Nonintrusive Industrial Load Identification Combined with Random Forests and Steady-State Waveform by Shuhui Yi, Hongxia Zhu, Junjie Liu, Junnan Li

“…Nonintrusive industrial load identification can accurately acquire the operation data of each load in the plant, which is the benefit of intelligent power management. The identification method of the industrial load is complicated and difficult to be realized due to the difficulty in collecting transient data for modeling, and high-precision measuring equipment is required. …”
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Retracted: Application and Development of Big Data in Sustainable Utilization of Soil and Land Resources by Zhaoya Chen, Wei Huang, Lijun Ma, Hao Xu, Yaheng Chen

“…Therefore, based on the big data of the Internet of things, combined with RS and GIS and other related intelligent technologies, this paper establishes a set of evaluation model for the sustainable use of land resources. …”
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QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking by Yusaku Hayamizu, Koki Goto, Masaki Bandai, Miki Yamamoto

“…In this paper, we propose an intelligent QoE-aware ABR selection method that works in cooperation with in-network Caching functions, called <italic>QoE-ABC</italic>. …”
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Research on optimal arrangement strategy of top coal caving support sensors based on vibration characteristics of coal and gangue by WANG Yao, YANG Shanguo, WU Mingke, MENG Bin, YANG Zheng, LIU Houguang

“…Aiming at the research on intelligent identification of caving coal and gangue, in order to provide a complete and effective vibration signal acquisition scheme of coal and gangue, an optimal layout strategy of tail beam sensors of caving coal hydraulic supports based on vibration characteristics of coal and gangue was proposed. …”
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AFP shields hepatocellular carcinoma from macrophage phagocytosis by regulating HuR-mediated CD47 translocation in cellular membrane by Yinglian Pan, Qiushi Yin, Zhaoliang Wang, Gang Wu, Kun Liu, Xiaowei Li, Jinchen Liu, Jiangzheng Zeng, Bo Lin, Wei Li, Mingyue Zhu, Mengsen Li

“…Methods: Immunohistochemical and immunofluorescence staining was used to analyze the relativity of AFP and cellular membrane CD47 expression in clinical 30 HCC tissues, and the expression of AFP and CD47 in HCC cells. The intelligent living-cell high-throughput imaging analyzer was applied to dynamically track and image of macrophages to phagocytize HCC cells. …”
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