Coronary artery bypass grafting in patients with coronary artery disease and COVID-19: search for an optimal strategy by D. V. Kuznetsov, A. A. Gevorgyan, V. V. Novokshenov, A. V. Kryukov, M. V. Polyaeva, M. N. Lyas, A. A. Khalmetova, D. V. Duplyakov

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A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis by Behnaz Motamedi, Balázs Villányi

“…Machine learning (ML) based models have garnered attention in the realm of predictive healthcare, with ensemble methods, in particular, bolstering algorithms to improve classification performance. …”
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RL-BES: optimizing strategies using reinforcement learning for blockchain economic security by Erdeng Wen, Zhuotao Deng, Yifan Mo, Yuren Zhou, Xiaohong Shi

“…However, current MEV detection methods have notable limitations. These include poor adaptability of algorithms, the vastness of the search space, and the inefficiency of methods that rely on traditional heuristic approaches. …”
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Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF by Pooja Patre, Dipti Verma

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Leveraging environmental DNA (eDNA) to optimize targeted removal of invasive fishes by Jennie J. Wiggins, Vanessa D. Tobias, Erika F. Holcombe, Katie Karpenko, Eric R. Huber, Andrew C. Goodman

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Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering by Mohammad Amin Lotfi, Fatemeh Zareayan Jahromy, Mohammad Reza Daliri

“…Furthermore, in the synthetic data, the efficacy of our proposed models was evident in both unit detection and spike clustering. Conclusion The findings of our research demonstrate unparalleled accuracy, surpassing the performance of other state‐of‐the‐art methods.…”
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Robust outdoor trajectory mapping using CNN features and loop closure optimization by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Tarique Rafique Memon, Azam Rafique Memon

“…To counteract accumulated drift, a hybrid optimization strategy is proposed: Bag of Words (BoW)-based loop closure detection identifies revisit locations, while an algorithm is developed to optimize the map. …”
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A Lyapunov Optimization-Based Approach to Autonomous Vehicle Local Path Planning by Ziba Arjmandzadeh, Mohammad Hossein Abbasi, Hanchen Wang, Jiangfeng Zhang, Bin Xu

“…Each control algorithm, i.e., Lyapunov Optimization (LO) and the two baseline methods, were independently used to generate safe and smooth paths for the AV based on the collected data. …”
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Optimal Coherence Length Control in Interferometric Fiber Optic Hydrophones via PRBS Modulation: Theory and Experiment by Wujie Wang, Qihao Hu, Lina Ma, Fan Shang, Hongze Leng, Junqiang Song

“…Interferometric fiber optic hydrophones (IFOHs) are highly sensitive for underwater acoustic detection but face challenges owing to the trade-off between laser monochromaticity and coherence length. …”
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Precoding Method Interference Management for Quasi-EVD Channel by Wei Duan, Wei Song, Sang Seob Song, Moon Ho Lee

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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

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Securing Automotive Networks from DoS and Fuzzy Attacks with Optimized LSTM Models by W. Beniel Dennyson, C. Jothikumar

“…An adaptive feature selection method using BFO to identify optimal CAN bus characteristics for accurate attack detection. …”
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Artificial intelligence-based Bayesian optimization and transformer model for tennis motion recognition by Shaowei Shi, Kun Huang

“…First, we use an improved generative adversarial network to optimize heat map location detection of human key points. …”
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Optimization for Mars Rotorcraft Blade: Weighted Ensemble Neural Networks and Spatial Discretization by Haoyu Zheng, Bo Tang, Qiquan Quan, Kaiyi Wang, Dewei Tang, Zongquan Deng

“…This paper proposes an optimization method that combines weighted ensemble of neural networks with spatial discretization to optimize the blade of Mars quadcopter. …”
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A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

“…Through this research, case studies are highlighted by which ML methods are proposed that directly target the issue of optimizing the wind power process through wind turbines. …”
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Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

“…TCN is employed for defect detection, while ALO optimizes the network's weights. …”
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Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production by Shengping Lv, Binbin Zheng, Hoyeol Kim, Qiangsheng Yue

“…Multivariate boxplot was developed for outlier detection. MSCM was employed to explore the structural change of the samples that were finally partitioned into six groups. …”
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An Optimized Weighted-Voting-Based Ensemble Learning Approach for Fake News Classification by Muhammad Shahzaib Toor, Hooria Shahbaz, Muddasar Yasin, Armughan Ali, Norma Latif Fitriyani, Changgyun Kim, Muhammad Syafrudin

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Expression and characterization of a codon-optimized butyrylcholinesterase for analysis of organophosphate insecticide residues by Jing-jing TIAN, Xiang-ning CHEN, Yuan-hong XIE, Yong LU, Wen-tao XU, Li XU, Bin DU

“…Organophosphate compounds can cause irreversible inhibition of the activity of acetylcholinesterase and butyrylcholinesterase (BChE, EC 3.1.1.8), which are both candidates for rapid detection of organophosphate pesticides. To develop an easy-to-handle method for detecting organophosphate pesticides using BChE, BChE from human was optimized according to the codon usage bias of Pichia pastoris and successfully expressed in P. pastoris GS115. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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