From phytochemicals to recipes: health indications and culinary uses of herbs and spices by Rishemjit Kaur, Shuchen Zhang, Bhavika Berwal, Sonalika Ray, Ritesh Kumar, Lav R. Varshney

“…Here, we use a network-based approach to elucidate established relationships and predict novel associations between the phytochemicals present in herbs and spices and health indications. …”
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Approach for Intellectual Potential Analysis of the Scientific Institution by F. F. Yusifov

“…In order to monitor and predict scientific activity in accordance with the existing potential, to conduct analytical and statistical analysis, a Unified Electronic Information System on Scientific Personnel has been created. …”
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A hybrid approach for investigation of electrical characteristics for rod to point electrode in gas insulators by R. Bharanidharan, V. J. Vijayalakshmi, R. V. Maheswari

“…The CDCNN method is utilized to predict the insulator parameters. The performance of the proposed method is put into practice on the MATLAB platform and contrasted with methods that are currently in use. …”
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RSCS6D: Keypoint Extraction-Based 6D Pose Estimation by Weiyu Liu, Nan Di

“…Finally, the extracted 3D keypoint cloud is fed into the 6D pose estimation network to predict both translation and rotation.…”
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Application of Data Mining Techniques on Tourist Expenses in Malaysia by Miao Cai, Tan Shi An

“…By apply data mining on tourism data for predicting the area of business opportunity is a good choice. …”
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Socio-Demographic Factors Influencing Adoption of Digital Technologies in Beekeeping by Karmańska Anna, Ziemba Ewa Wanda, Maruszewska Ewa Wanda, Jarka Sławomir

“…A Random Forest machine learning algorithm was employed to predict digital adoption, and SHAP values were applied to interpret the model’s output. …”
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Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…Therefore, we propose a novel method that combines the skeletal method with object detection to accurately predict a set of $ \langle $ human, verb, object $ \rangle $ triplets in a video frame considering the robustness, extensibility, and lightweight of the model. …”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…While VQ is a technique that reduces model size by grouping similar parameters, incremental clustering, implemented via the AutoCloud K-Fixed algorithm, preserves accuracy during compression. This combined approach was validated on an automotive dataset predicting CO2 emissions from vehicle sensor measurements such as mass air flow, intake pressure, temperature, and speed. …”
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Forecasting Model for Danube River Water Temperature Using Artificial Neural Networks by Cristina-Sorana Ionescu, Ioana Opriș, Daniela-Elena Gogoașe Nistoran, Constantin-Alexandru Baciu

“…Using as input data actual air and water temperatures, and discharge, as well as air temperature data provided by weather forecasts, the ANN model predicts the Danube water temperature one week in advance with a root mean square deviation (RMSE) of 0.954 °C for training and 0.803 °C for testing. …”
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Research on a Fusion Technique of YOLOv8-URE-Based 2D Vision and Point Cloud for Robotic Grasping in Stacked Scenarios by Xuhui Ye, Xiaoyang Qin, Leming Zhan, Jun Wang, Yan Chen

“…During point cloud processing, target centers predicted by the detector guide rapid segmentation, followed by robust registration techniques to estimate precise object poses. …”
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Online Calibration of Inertial Sensors Based on Error Backpropagation by Vojtech Simak, Jan Andel, Dusan Nemec, Juraj Kekelak

“…We performed data fusion using an extended Kalman filter (EKF) and calibrated the input sensors through error backpropagation. The algorithm thus calibrates the INS sensors while the GNSS receiver signal is good, and after a GNSS failure, for example in tunnels, the position is predicted only by low-cost inertial sensors. …”
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Advanced modeling of salt-inducible kinase (SIK) inhibitors incorporating protein flexibility through molecular dynamics and cross-docking by Jorge Luis Valdés-Albuernes, Erbio Díaz-Pico, Sergio Alfaro, Julio Caballero

“…Our results highlight the importance of protein flexibility in achieving accurate correlations between docking energies and experimental pIC50 values, enhancing inhibitor selectivity predictions.…”
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A user cache management and cooperative transmission mechanism based on edge community computing in opportunistic social networks by Wangping Xiong, Hao Chen, Ying Jiao, Ming Yang, Xian Zhou, Jia Wu

“…This paper establishes the community mechanism and proposes a user cache management and cooperative transmission mechanism (CMCT) based on edge community computing by using the predictability of users' requests for popular content. …”
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Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

“…The optimization process is then performed using factorization machines that predict characteristic data. This method has been proven to be highly effective for topology optimization in the design of analog circuits. …”
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Modeling, Simulation, and Kinetic Studies of Solvent-Free Biosynthesis of Benzyl Acetate by Vijay Kumar Garlapati, Annapurna Kumari, Paramita Mahapatra, Rintu Banerjee

“…Statistical integrated genetic algorithm optimization approach results in an optimized molar conversion of 96.32% with the predicted transesterification variables of 0.47 M alcohol molarity in a reaction time of 13.1 h, at 37.5°C using 13.31 U of immobilized lipase. …”
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FORECASTING NICKEL PRICES WITH THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV APPROACH by M. Al Haris, Wulan Sari, Fatkhurokhman Fauzi, Muhammad Sam'an

“…The automatic clustering algorithm generates multiple intervals and fuzzy relations. …”
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IOT System for Detecting Epileptic Seizures Based on Fuzzy Logic by Jehan A. abbas, Manaf K. Hussei, Riyadh A. Abbas

“…This paper focuses on the challenge of predicting seizures to enable preventive actions. To achieve this the proposed system utilizes the STM32F103C8T6 microcontroller to process data from a 3-axis accelerometer, heart rate sensor and temperature sensor. …”
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Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing by Myoung Hun Han, Jin Hyeong Park, Jae Sung Yang, Sang Youl Yoon, June Kee Min

“…The optimized shape of the bellmouth was obtained by using the two correlations and the genetic algorithm. In addition, the optimized bellmouth was found using conditional U-Net, which predicted the flow uniformity image according to the given shape conditions. …”
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Unravelling the human taste receptor interactome: machine learning and molecular modelling insights into protein-protein interactions by Harry Zaverdas, Filip Stojceski, Rocío Romero-Zaliz, Lampros Androutsos, Pantelis Makrygiannis, Lorenzo Pallante, Vanessa Martos, Gianvito Grasso, Marco A. Deriu, Konstantinos Theofilatos, Seferina Mavroudi

“…To this end, we propose a comprehensive machine learning approach to accurately predict and quantify protein-protein interactions using an ensemble evolutionary algorithm. 1,647,374 positive and 894,213 negative experimentally verified protein-protein interactions were mined and characterized using 61 functional orthology, sequence, co-expression and structural features. …”
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A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress by Soo-yeon Park, Oran Kwon, Tim van den Broek, Jildau Bouwman, Ji Yeon Kim

“…Blood samples were collected, and a machine learning algorithm was used to predict health estimation scores based on metabolic and inflammatory responses. …”
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