YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences by Nada Alzahrani, Ouiem Bchir, Mohamed Maher Ben Ismail

“…This paper introduces YOLO-Act, a novel spatiotemporal action detection model that enhances the object detection capabilities of YOLOv8 to efficiently manage complex action dynamics within video sequences. …”
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SP-RF-ARIMA: A sparse random forest and ARIMA hybrid model for electric load forecasting by Kamran Hassanpouri Baesmat, Farhad Shokoohi, Zeinab Farrokhi

“…Accurate Electric Load Forecasting (ELF) is crucial for optimizing production capacity, improving operational efficiency, and managing energy resources effectively. …”
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Gaseous hydrocarbons absorption by ILs: insights from artificial intelligence strategy by Reyhaneh Alborz, Mohammad Mahmoudnezhad, Alireza Baghban

“…Abstract Accurate prediction of hydrocarbon solubility in ionic liquids (ILs) is essential for optimizing solvent selection and designing efficient chemical processes in industries such as energy production and environmental remediation. …”
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Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks by Maram Al Alfi, Pedro Peris-Lopez, Carmen Camara

“…The GCN model is trained on this graph, enabling it to learn complex patterns for user identification efficiently.ResultsExperimental results demonstrate that the proposed GCN-MI model achieves 100% accuracy with a 5-layer architecture at a k-fold of 75, outperforming conventional approaches that require less training data.DiscussionThis work introduces several innovations: the integration of MI indices enhances feature selection, improving model robustness and efficiency; the graph-based learning framework effectively captures both spatial and statistical relationships within ECG data, leading to higher classification accuracy; the proposed approach offers a scalable and real-time biometric authentication system suitable for applications in finance, healthcare, and personal device access. …”
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Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP. by Sajid Mehmood, Rashid Amin, Jamal Mustafa, Mudassar Hussain, Faisal S Alsubaei, Muhammad D Zakaria

“…These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. …”
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Strategizing AI in Healthcare: A Multidimensional Blueprint for Transformative Decision-Making in Clinical Settings by Simon Martina, Kamin Stefan, Hamper Andreas, Wittenberg Thomas, Schmitt-Rüth Stephanie

“…By creating a comprehensive categorization system, we attempt to navigate the complex array of possible AI applications within the field of healthcare, hence enabling the identification, selection, and advancement of AIdriven initiatives. …”
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NORMALISATION OF THE DRIVE PRECISION OF METAL-CUTTING MACHINES by Irina A. Klenova, Dmitry A. Rudikov, Svetlana N. Kholodova

“…Conclusion The use of the proposed methodology expands the scientific basis for the development of algorithms and programs facilitating the selection of the optimal number of gear teeth for multiplying groups and structures and guaranteeing high accuracy of the gained series.…”
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The evolving role of programming and LLMs in the development of self-driving laboratories by John R. Kitchin

“…Machine learning and automation are transforming scientific research, yet the implementation of self-driving laboratories (SDLs) remains costly and complex, and it remains difficult to learn how to use these facilities. …”
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Diagnostics of the enterprise’s business potential by A.A.

“…The grouping of diagnostic methods was carried out in accordance with the goals of the diagnosis (diagnostics of the strategic perspective of development; diagnostics of competitiveness; diagnostics of the components of business potential; diagnostics of the possibility of the onset of a financial crisis), which contributes to increasing the efficiency of its implementation. It has been proven that achieving the goal and solving the tasks of diagnosing business potential is possible due to: the formation of reliable information support; successful selection of diagnostic methods; analytical substantiation of the conclusion regarding the state and opportunities of business potential; development and implementation of measures to improve the existing situation; conducting control over the implementation of measures.…”
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Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem by Jian Huang, Yarong Chen, Jabir Mumtaz, Liuyan Zhong

“…The NEAT algorithm harnesses the features of dynamic flexible job shop scheduling problems (DFJSPs) to devise heuristic rules for job selection and machine allocation, synthesizing these rules into coherent scheduling strategies. …”
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Simple and robust in vivo engineering of plasmid DNA at any copy number in Escherichia coli by Ana G. V. Sepulchro, Hendrikje C. J. Kozlowski, Morten H. H. Nørholm

“…Here, we present a robust methodology for plasmid recombineering in E. coli using a triple-selection system customized for efficient performance at any copy number. …”
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Methodology for assessing the social effectiveness of exhibition activity by Yu. V. Vorontsova, D. S. Garbuz

“…The article presents the methodology developed by the authors for the quantitative assessment of social efficiency, which is complex and also includes the calculation of the selected elements’ sensitivity of social efficiency to different changes. …”
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Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ by WANG Mengqi, ZHENG Zheng, MEI Qiliang, PENG Chao, GAO Jing, ZHOU Yan

“…This meticulous process resulted in the selection of a series of improved shielding solutions. …”

A review article on the assessment of additive manufacturing by Teshager Awoke Yeshiwas, Atalay Bayable Tiruneh, Milashu Asnake Sisay

“…Abstract Additive manufacturing (AM), commonly known as 3D printing, has revolutionized the manufacturing landscape by enabling layer-by-layer fabrication of complex geometries from digital models. This paper provides a comprehensive overview of the evolution, current capabilities, and future directions of AM. …”
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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

“…Secondly, to enhance efficiency, we explore the use of a GPU-based setup and different feature selection techniques. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…To optimize computational efficiency and eliminate irrelevant or noisy features, an unsupervised Principal Component Analysis (PCA) algorithm is employed, ensuring the selection of the most informative features. …”
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Effects of Leaf Trait Variability on PM Retention: A Systematic Review by Wenkai Xue, Yongjun Lin, Zhengqi Sun, Yuchong Long, Dele Chen, Shan Yin

“…Trichomes decrease the likelihood of particle resuspension and boosts the efficiency of PM retention. 5. Leaves with high rigidity and complex multi-faceted leaf shapes are typically presumed to exhibit higher PM retention efficiency for higher edge effects and increased interleaf turbulence. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
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A Multi-Branch Convolution and Dynamic Weighting Method for Bearing Fault Diagnosis Based on Acoustic–Vibration Information Fusion by Xianming Sun, Yuhang Yang, Changzheng Chen, Miao Tian, Shengnan Du, Zhengqi Wang

“…Although existing methods have achieved certain success in processing acoustic and vibration signals, they still face challenges such as insufficient feature fusion, inflexible weight allocation, lack of effective feature selection mechanisms, and low computational efficiency. …”
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Focal Mechanism and Moment Tensor Determination for Tsunami Early Warning Systems: A Literature Study (2018–2024) by Titi Handayani, Wijayanto, Adhi Harmoko Saputro, Mohd Asyraf Zulkifley, Dede Djuhana

“…The calculations are needed to identify fault geometry, interpret forces acting on the fault, and evaluate potential damage in affected areas. These processes are complex and time-consuming, requiring significant effort to produce accurate results. …”
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