Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…This study investigates the effectiveness of incorporating the rolling window function for recognizing patterns dynamically, aiming to distinguish the various water problem patterns for optimal workover candidate selections and quick water treatment. …”
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Rice disease detection method based on multi-scale dynamic feature fusion by Qian Fan, Runhao Chen, Bin Li

“…The bounding box regression loss function, inner-WIoU, utilizes auxiliary bounding boxes and scale factors. …”
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Automated Teaching System “Sets” (Research for Organizing the 1st Part of the Project) by Vadim S. Rublev, Maxim D. Kondakov

“…An important part of the system is to monitor the correctness of all actions of students, and on this basis the entire learning system is developed. The logical supervision over the correctness of the selected action in the first editor is performed by a Boolean function created by the system and corresponding to this action and by checking it for identical truth. …”
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The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction by Farjana Tasnim Mukta, Md Masud Rana, Avery Meyer, Sally Ellingson, Duc D. Nguyen

“…Recent advances in machine learning (ML)–based scoring functions have improved these predictions, yet challenges remain in modeling complex molecular interactions. …”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

“…Various machine learning algorithms exist to predict air quality, but they can only analyse structured data gathered from monitoring stations. …”
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Prediction of Drought Thresholds Triggering Winter Wheat Yield Losses in the Future Based on the CNN-LSTM Model and Copula Theory: A Case Study of Henan Province by Jianqin Ma, Yan Zhao, Bifeng Cui, Lei Liu, Yu Ding, Yijian Chen, Xinxi Zhang

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Double Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation Using Adaptive Parameter Space Noise and Parallel Experience Replay by Wenjie Hu, Ye Zhou, Hann Woei Ho, Chun Zhang

“…Furthermore, a novel and powerful target-oriented reward function is employed to boost learning efficiency. …”
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Quality-Aware PPG-Based Blood Pressure Classification for Energy-Efficient Trustworthy BP Monitoring Devices With Reduced False Alarms by Yalagala Sivanjaneyulu, M. Sabarimalai Manikandan, Srinivas Boppu, Linga Reddy Cenkeramaddi

“…Four SQA methods are based on the average magnitude difference function (AMDF/(SQA-M1)) features and the AMDF features with the total number of zero-crossings present in raw/original (SQA-M2), derivative (SQA-M3), and smoothed derivative (SQA-M4) PPG segment features. …”
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Multi-Attribute Graph Estimation With Sparse-Group Non-Convex Penalties by Jitendra K. Tugnait

“…In this paper we provide a unified theoretical analysis of multi-attribute graph learning using a penalized log-likelihood objective function. …”
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A Flexible Smart Healthcare Platform Conjugated with Artificial Epidermis Assembled by Three-Dimensionally Conductive MOF Network for Gas and Pressure Sensing by Qingqing Zhou, Qihang Ding, Zixun Geng, Chencheng Hu, Long Yang, Zitong Kan, Biao Dong, Miae Won, Hongwei Song, Lin Xu, Jong Seung Kim

“…Meticulously building bionic-sensitive moieties is vital for designing efficient electronic skin with advanced cognitive functionalities to pluralistically capture external stimuli. …”
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THE PECULIARITIES OF THE U. S. HIGHER EDUCATION DEVELOPMENT STRATEGY IN THE CONTEXT OF CURRENT CONDITIONS by Olga I. Fomina

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The Smart Product Backlog: A Classification Model of User Stories by Mauricio Gaona-Cuevas, Victor Bucheli Guerrero, Fredy H. Vera-Rivera

“…In agile software development processes, user stories (US) had been used to specify application functionalities from the users’ perspective. For intelligent applications leveraging artificial intelligence (AI), the Smart Product Backlog (SPB) has included both AI-implementable and non-AI functionalities. …”
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An overview of AI in Biofunctional Materials by Dazhou Li

“…The integration of artificial intelligence (AI) into biofunctional materials is transforming material design, synthesis, and optimization for medical applications. Machine learning and deep learning models now predict material properties (e.g., mechanical strength, degradation rate) with > 90% accuracy, dramatically reducing trial-and-error in scaffold and nanoparticle fabrication. …”
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Opposition-based chaotic evolution for optimization by Tianshui Li, Yan Pei

“…To address this challenge, we propose an opposition-based chaotic evolution (OBCE) algorithm that integrates opposition-based learning (OBL) into the chaotic evolution framework. …”
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Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

“…HSPSO is evaluated using CEC-2005 and CEC-2014 benchmark functions, demonstrating superior performance over standard PSO, Dynamic Adaptive Inertia Weight PSO (DAIW-PSO), Hummingbird Flight patterns PSO (HBF-PSO), Butterfly Optimization Algorithm (BOA), Ant Colony Optimization (ACO), and Firefly Algorithm (FA). …”
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Multi-exit Kolmogorov–Arnold networks: enhancing accuracy and parsimony by James Bagrow, Josh Bongard

“…Multi-exit KANs consistently outperform standard, single-exit versions on synthetic functions, dynamical systems, and real-world datasets. …”
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Smart Buildings and Digital Twin to Monitoring the Efficiency and Wellness of Working Environments: A Case Study on IoT Integration and Data-Driven Management by Giuseppe Piras, Sofia Agostinelli, Francesco Muzi

“…After defining the functional requirements and identifying all3 the monitorable quantities that can be translated into requirements, the system architecture is described, the implementation of the case study is illustrated and the preliminary results of the first data collection campaign and initial estimates of future forecasts are shown.…”
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Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization by Oussama Aoun

“…Subsequently, a Hidden Markov Model classification, combined with a Deep Q-Network, is implemented to create a novel Particle Swarm Optimization named DPQ-PSO, and its parameters are adjusted according to deep reinforcement learning. Experiments on different benchmark unimodal and multimodal functions demonstrate superior results over most state-of-the-art methods regarding solution accuracy and convergence speed.…”
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Artificial Intelligence in Foreign Language Teaching – Insights from an Interview with ChatGPT and Bard by Thomas Tinnefeld

“…The primary objective of this interview, supported by subsequent analysis, is to provide valuable insights into the use, significance, and functions of AI in the context of foreign language teaching. …”
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Stochastic Potential Game-Based Target Tracking and Encirclement Approach for Multiple Unmanned Aerial Vehicles System by Kejie Yang, Ming Zhu, Xiao Guo, Yifei Zhang, Yuting Zhou

“…In addition, considering collision avoidance and cooperative tracking, several techniques, such as novel reward functions and recurrent network structures, are presented to optimize the training process. …”
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