Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms by Hasan Alkahtani, Theyazn H. H. Aldhyani

“…The novelty of this proposed research is the development of a robust framework system for detecting intrusions based on the IoT environment. …”
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Exploring IRGs as a Biomarker of Pulmonary Hypertension Using Multiple Machine Learning Algorithms by Jiashu Yang, Siyu Chen, Ke Chen, Junyi Wu, Hui Yuan

“…Results: Among the 113 machine learning algorithms, the Lasso + LDA model achieved the highest AUC of 0.741. …”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…This study introduces an SBO framework tailored for Gaussian process regression models, featuring an automatic kernel construction algorithm coupled with a beam search strategy (AKC-GPR). …”
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Design of an Intelligent Pear Bagging End-Effector Based on Yolov8 and SGBM Algorithm by Jing Ruijun, Liu JingKai, LiXin, ZhiguoZhao

“…Bagging is a crucial step in the full cycle management of pear cultivation, with increasing labor costs annually, driving research on intelligent bagging equipment. We describe an intelligent bagging end-effector for pears, which employs the Yolov8 algorithm for fruitlets detection and the Semi-Global Block Matching (SGBM) algorithm to acquire three-dimensional spatial information of the targets. …”
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Efficiently Automating Covering Array Generation: A Model Checking and Metaheuristic Algorithm Approach by Sajad Esfandyari, Davar Giveki, Amir Rastegarnia, Ali Farzamnia, Hua Zheng

“…This research highlights the novel integration of GROOVE with BBO and GA, contributing to the advancement of combinatorial testing techniques.…”
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Wavelet transform algorithm of daily load graphs for choosing parameters of hybrid energy storage by O. V. Arkhipova, N. N. Dolgikh, S. Yu. Dolinger, V. Z. Kovalev, D. S. Osipov

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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

“…The user-friendly interface of the WebApp makes it an easily accessible tool for professionals and researchers in concrete engineering. In this study, the potential of ML, in particular the random forest algorithm, is emphasised as a reliable and cost-effective method for predicting concrete CS, providing a valuable alternative to conventional experimental approaches.…”
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Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS by Lianrong Pan, Xiao Yang, Yuan Fu, Yuyang Hu, Shangbin Yuan

“…Aiming at the defects of the existing power dispatching communication system, such as difficult to locate the fault information, low efficiency and poor accuracy, the research first introduces the minimum mean square error detection algorithm, and improves this algorithm. …”
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Sensor-Based Bermudagrass Yield Prediction Models Using Random Forest Algorithm in Oklahoma by Gabriel Camargo de Campos Jezus, Lucas Freires Abreu, Daryl Brian Arnall, Lucas Martins Stolerman, Alexandre Caldeira Rocateli

“…This research aimed to develop bermudagrass [<i>Cynodon dactylon</i> (L.) …”
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Fault detection algorithm for underground conveyor belt deviation based on improved RT-DETR by AN Longhui, WANG Manli, ZHANG Changsen

“…Current research on conveyor belt deviation detection mainly focuses on extracting the straight-line features of belt edges. …”
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Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots by Xiaolin Xie, Hang Jin, Heng Wang, Man Xu, Cheng Zhang, Xin Jin, Zhihong Zhang

“…Multi-machine collaboration in agricultural machinery is a key focus in current research, with task allocation being an indispensable component. …”
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Application of Machine Learning Algorithms to Predict Gas Sorption Capacity in Heterogeneous Porous Material by Tasbiha Ibad, Syed Muhammad Ibad, Haylay Tsegab, Rabeea Jaffari

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DEVELOPMENT AND EXPERIMENTAL VERIFICATION OF THE SELF-ADJUSTMENT ALGORITHM OF THE OGSH LOAD LIMITER FOR BRIDGE CRANES by V. A. Roshchin, S. D. Ivanov, N. L. Mikhalchik

“…Moreover, the settlement algorithm is realized and the OGSh device is programmed according to such settlement algorithm. …”
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Improved gray wolf harris hawk algorithm based feature selection for sentiment analysis by Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al-Betar, Ahamad Tajudin Khader

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Designing and validating a clinical decision support algorithm for diabetic nephroprotection in older patients by Simon LeClerc, Nicolas Fernandez, Kelley Kilpatrick, Cheryl Sadowski, Noor Alsalemi, Naoual Elftouh, Jean-Philippe Lafrance, Sherilyn Houle

“…The aim of this research is to design and validate a CDS algorithm for prescribing renin-angiotensin-aldosterone system inhibitors (RAASi) for older patients with diabetes.Methods The design of the CDS tool included the following phases: (1) gathering evidence from systematic reviews and meta-analyses of randomised clinical trials to determine the number needed to treat (NNT) and time-to-benefit (TTB) values applicable to our target population for use in the algorithm. (2) Building a list of potential cases that addressed different prescribing scenarios (starting, adding or switching to RAASi). (3) Reviewing relevant guidelines and extracting all recommendations related to prescribing RAASi for DKD. (4) Matching NNT and TTB with specific clinical cases. (5) Validating the CDS algorithm using Delphi technique.Results We created a CDS algorithm that covered 15 possible scenarios and we generated 36 personalised and nine general recommendations based on the calculated and matched NNT and TTB values and considering the patient’s life expectancy and functional capacity. …”
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Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms by Uddipan Hazarika, Bidyut Bikash Borah, Soumik Roy, Manob Jyoti Saikia

“…The highlight of our research approach is that it examines the efficacy of the aforementioned models in classifying seizures utilizing single-channel EEG with minimally handcrafted features. …”
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Machine heuristic in algorithm aversion: Perceived creativity and effort of output created by or with artificial intelligence by Sigurd Birk Heimstad, Anders Hauge Wien, Tarje Gaustad

“…Through two pre-registered experiments, we investigate how individuals evaluate creative content when it is labeled as created by AI, humans, or human-AI collaboration. While previous research has established algorithm aversion across various domains, our findings reveal nuanced patterns in creative contexts. …”
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou, Umesh Kumar Lilhore, Poongodi M, Tao Hai, Sarita Simaiya, Dayang Norhayati Abang Jawawi, Deema Mohammed Alsekait, Sachin Ahuja, Cresantus Biamba, Mounir Hamdi

“…Few techniques can perhaps generate an ideal solution under a polynomial period to fix these issues. In previous research, Metaheuristic based strategies have been confirmed to accomplish accurate solutions under a decent period for those kinds of issues. …”
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Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm by Taghi Javdani Gandomani, Maedeh Dashti, Sadegh Ansaripour, Hazura Zulzalil

“…Although this method has been customized in recent years with the help of optimization algorithms to achieve better results, the use of more powerful optimization algorithms can be effective in achieving better results in software size estimation. …”
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Personalized Recommendation Algorithm for Cultural and Creative Products Based on Fuzzy Decision Support System by Lin Shi, Xiaoqing Yang

“…Hence, this study proposes a fuzzy context-aware neural recommendation algorithm (F-CANRA) to analyze consumers’ purchase behaviors regarding cultural and creative products (CCPs). …”
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