Intelligent beehive monitoring system based on internet of things and colony state analysis by Yiyao Zheng, Xiaoyan Cao, Shaocong Xu, Shihui Guo, Rencai Huang, Yingjiao Li, Yijie Chen, Liulin Yang, Xiaoyu Cao, Zainura Idrus, Hongting Sun

“…Moreover, our counting algorithm also achieved excellent results, with root mean square error (RMSE) of 1.3 ± 0.1, 0.2 ± 0.0, and 1.6 ± 0.1 in counting the number of bees current, entry, and out scene in an episode, respectively. …”
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Artificial intelligence voice gender, gender role congruity, and trust in automated vehicles by Qiaoning Zhang, X. Jessie Yang, Lionel P. Robert

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Effects of optimized interaction of short-term hypergravity stimulation and nitrate-deficient cultivation in maize root using genetic-immunological algorithms by Ronnie Concepcion II, R-Jay Relano, Adrian Genevie Janairo, Kate Francisco, Lance Garcia, Hugo Montanvert

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Neural Topic Generation Utilizing Attention Mechanisms With Transformer‐Based Embeddings for Root‐Cause Analysis of Manufacturing Defects in Electronic Products by Vutivi Mabasa, Uche A. K. Chude‐Okonkwo, Babu S. Paul

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Integrating Machine Learning and Deep Learning for Predicting Non-Surgical Root Canal Treatment Outcomes Using Two-Dimensional Periapical Radiographs by Catalina Bennasar, Antonio Nadal-Martínez, Sebastiana Arroyo, Yolanda Gonzalez-Cid, Ángel Arturo López-González, Pedro Juan Tárraga

“…<b>Background/Objectives</b>: In a previous study, we utilized categorical variables and machine learning (ML) algorithms to predict the success of non-surgical root canal treatments (NSRCTs) in apical periodontitis (AP), classifying the outcome as either success (healed) or failure (not healed). …”
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Estimation of monthly flow data with artificial intelligence in basins with scarce information in the Colombian Orinoquía by Camilo Ocampo-Marulanda, Teresita Canchala Nastar, Yesid Carvajal-Escobar, Lina Cerón-Arámburo

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Computational intelligence investigations on evaluation of salicylic acid solubility in various solvents at different temperatures by Adel Alhowyan, Wael A. Mahdi, Ahmad J. Obaidullah

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Personalized Book Intelligent Recommendation System Design for University Libraries Based on IBCF Algorithm by Na Lin

“…The results showed that the CPU usage of the whole system was not high during the operation of the improved item-based collaborative filtering recommendation algorithm, with an average usage rate of about 9.8%. The minimum root mean square error of the algorithm was 0.013 and the runtime was <inline-formula> <tex-math notation="LaTeX">$12000~\mu $ </tex-math></inline-formula>s. …”
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Intelligent Food Safety: A Prediction Model Based on Attention Mechanism and Reinforcement Learning by Mingxia Wu, Wei Liu, Shengyang Zheng

“…Examination of experimental outcomes, leveraging both public and internally curated datasets, attests that the performance of the RL-ALSTM approach, as gauged by Root Mean Square Error (RMSE) and Mean Absolute Error (MAE), surpasses that of the disparate LSTM and traditional machine learning methods by lower than 0.001 in the safety ratio. …”
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Research Progress and Prospects of Intelligent Measurement and Control Technology for Tillage Depth in Subsoiling Operations by Yue Deng, Wenyi Zhang, Bing Qi, Yunxia Wang, Youqiang Ding, Haojie Zhang

“…It provides significant benefits, including enhanced root development, improved soil quality, and substantial increases in crop yields. …”
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Crimes in the Age of Artificial Intelligence: a Hybrid Approach to Liability and Security in the Digital Era by N. Bhatt

“…Objective: to study the applicability of existing norms on product quality liability and negligence laws to crimes related to artificial intelligence. The author hypothesizes that the hybrid application of these legal mechanisms can become the basis for an effective regulatory system under the rapid technological development.Methods: the research includes a comprehensive approach based on the PESTEL analysis (political, economic, social, technological, environmental and legal factors), the “five whys” root cause analysis, and cases from various countries. …”
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Geostatistics and Artificial Intelligence Applications for Spatial Evaluation of Bearing Capacity after Dynamic Compaction by Rodney Ewusi-Wilson, Junghee Park, Boyoung Yoon, Changho Lee

“…This study employs geostatistical and artificial intelligence (AI) methods to estimate the degree of ground improvement after dynamic compaction. …”
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Enhancing Supply Chain Efficiency Resilience Using Predictive Analytics and Computational Intelligence Techniques by Lixing Bo, Jie Xu

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Intelligent Modeling and Experimental Investigation of the Collar's Impact on Reducing Scour around the Spur Dike by Hojat Karami, Alireza Rezaei, Amin Atarodi

“…For example, in the combination of all four input data, the amount of root mean square error (RMSE) for SVR-BA was approximately 24% lower and the amount of squared correlation coefficient (R2) was approximately 2% higher, compared to SVR model.…”
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Application of Artificial Intelligence Techniques for the Estimation of Basal Insulin in Patients with Type I Diabetes by Guillermo Edinson Guzman Gómez, Luis Eduardo Burbano Agredo, Veline Martínez, Oscar Fernando Bedoya Leiva

“…Artificial intelligence techniques have been positioned in the resolution of problems in various areas of healthcare. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…It has better prediction performance than the combination model, with a coefficient of determination approaching 1.0, a fitting accuracy of 0.994, a mean square error of 0.1947, a root mean square error of 0.3847, and an average absolute percentage error of 15.23%. …”
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Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks by ZhiGuo Zhu

“…Keeping the above in mind, in this article, we present the Intelligent Sports Management System (ISMS) with the integration of wireless sensor networks (WSNs) and neural networks (NNs), which enhance athlete monitoring and injury prediction. …”
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Wearable IoT (w-IoT) artificial intelligence (AI) solution for sustainable smart-healthcare by Gurdeep Singh

“…Smart technologies, specifically wearables are cutting edge innovation of design science with an emerging Artificial Intelligence (AI) capability for sustainable healthcare. …”
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Evaluating the performance of artificial intelligence models for temperature downscaling (Study area: Ardabil province) by Mohammad Hossein Jahangir, Seyed Mohammad Ehsan Azimi

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Integrating experimental-based vulnerability mapping with intelligent identification of multi-aquifer groundwater salinization by Mohamed A. Yassin, Sani I. Abba, A.G. Usman, Syed Muzzamil Hussain Shah, Isam H. Aljundi, Shafik S. Shafik, Zaher Mundher Yaseen

“…Model performance was assessed using statistical parameters, including Nash–Sutcliffe efficiency (NSE), root mean square error (RMSE), Pearson correlation coefficient (PCC), and mean square error (MSE). …”
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