Faster Image2Video Generation: A Closer Look at CLIP Image Embedding’s Impact on Spatio-Temporal Cross-Attentions by Ashkan Taghipour, Morteza Ghahremani, Mohammed Bennamoun, Aref Miri Rekavandi, Zinuo Li, Hamid Laga, Farid Boussaid

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Named Entity Recognition in Aviation Products Domain Based on BERT by Mingye Yang, Bernadin Namoano, Maryam Farsi, John Ahmet Erkoyuncu

“…Next, it adopts a multi-level model structure based on BERT, in which BERT is used to generate word vector representations, a bidirectional long short-term memory network (BiLSTM) is used as an encoder to extract semantic features, and a conditional random field (CRF) is used as a decoder to achieve optimal label assignment. …”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…The use of CBO ensures efficient convergence with minimal parameter tuning, making the model suitable for large-scale datasets compared to conventional optimizers, including Adam, Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

“…The GA (genetic algorithm) encodes the position of the welding robot bases into chromosomes to find the optimal layout for coordinated control of multiple robots. …”
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Nanopore sequencing and hybrid assembly: unraveling the genomic landscape of dollar spot with enhanced annotation and drug resistance profiling by Xiaojing Shi, Shu Zhao, John G. Gibbons, Geunhwa Jung

“…This study focuses on comparing a highly propiconazole-resistant isolate of Clarireedia jacksonii, HRI11, with a sensitive isolate, HRS10. …”
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Energy‐based PINNs for solving coupled field problems: Concepts and application to the multi‐objective optimal design of an induction heater by Marco Baldan, Paolo Di Barba

“…Abstract Physics‐informed neural networks (PINNs) are neural networks (NNs) that directly encode model equations, like Partial Differential Equations (PDEs), in the network itself. …”
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Improving butenyl-spinosyn production in Saccharopolyspora pogona through combination of metabolic engineering and medium optimization by Xueli Zhao, Haisong Lu, Haisong Lu, Sen Peng, Haifeng Hang, Waleed Aldahmash, Muath Q. Al-Ghadi, Weihua Tang, Jiang Pei, Wan Xun, Meijin Guo, Ali Mohsin

“…Subsequently, the combinatorial overexpression of sp1322 (encoding NAD-glutamate dehydrogenase) and sp6746 (encoding dTDP-glucose 4,6-dehydratase) in aG6 resulted in strain O1322-6746. …”
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Analysis and Simulation of the Dynamic Spectrum Allocation Based on Parallel Immune Optimization in Cognitive Wireless Networks by Wu Huixin, Mo Duo, Li He

“…This paper discusses the real-time feature and efficiency of dynamic spectrum allocation and presents a new spectrum allocation algorithm based on the master-slave parallel immune optimization model. The algorithm designs a new encoding scheme for the antibody based on the demand for convergence rate and population diversity. …”
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A Clustering-Guided Integer Brain Storm Optimizer for Feature Selection in High-Dimensional Data by Jia Yun-Tao, Zhang Wan-Qiu, He Chun-Lin

“…Moreover, a new encoding strategy and a time-varying integer update method for individuals are proposed to improve the search performance of brain storm optimization in the second phase. …”
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Exploring the impact of fixed theta values in RoPE on character-level language model performance and efficiency by Zhigao Huang, Musheng Chen, Shiyan Zheng

“…These insights suggest that future positional encoding designs could benefit from adaptive θ scheduling or dataset-specific θ optimization strategies to maximize both performance and computational efficiency.…”
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Optimization of MSMEs Clustering in Sampang District Using K-Medoids Method and Silhouette Coefficient Method by Muhammad Iqbal Firmansyah, Yeni Kustiyahningsih, Eza Rahmanita, Mochammad Syahrul Abidin, Budi Dwi Satoto

“…The data processing steps include data conversion, one-hot encoding, and normalization to ensure uniformity. Clustering is performed using the Elbow method to determine the optimal number of clusters, with K=4 chosen as the optimal cluster number based on the highest Silhouette Coefficient value of 0.5662 compared to other K values. …”
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Optimizing Stimulus Frequency Ranges for Building a High-Rate High Frequency SSVEP-BCI by Xiaogang Chen, Bingchuan Liu, Yijun Wang, Hongyan Cui, Jianwei Dong, Ruijuan Ma, Ning Li, Xiaorong Gao

“…We compare classification accuracy and information transfer rate (ITR) of the corresponding BCI system. …”
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Characterization and optimization of mnn11Δ-mediated enhancement in heterologous protein production in Kluyveromyces marxianus by Shihao Zhou, Pingping Wu, Haiyan Ren, Jungang Zhou, Yao Yu, Hong Lu

“…This study aimed to characterize and optimize enhanced secretory expression in the promising yeast host Kluyveromyces marxianus by deleting MNN11, which encodes a subunit of the mannose polymerase II complex responsible for elongating α-1,6-linked mannose chains. …”
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An Optimized Method for Single Cell Cloning of Human CAR-T Cells Based on FBS-Coated Plates by Mahdie Jafari, Shahriyar Abdoli, Masoud Moghaddam Pour, Mohammad Ali Shokrgozar, Zahra Sharifzadeh

“…Future research should concentrate on optimizing culture conditions and testing this method in preclinical animal models to ensure its clinical applicability and efficacy.…”
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Efficient coding in biophysically realistic excitatory-inhibitory spiking networks by Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, Stefano Panzeri

“…Networks with unstructured connectivity cannot reach comparable levels of coding efficiency. The optimal ratio of excitatory vs inhibitory neurons and the ratio of mean inhibitory-to-inhibitory vs excitatory-to-inhibitory connectivity are comparable to those of cortical sensory networks. …”
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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Firstly, DNA sequences were encoded using four different ways: one-hot encoding, electron-ion interaction pseudo-potential (EIIP), enhanced nucleic acid composition (ENAC) and nucleotide chemical properties (NCP). …”
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Deep Reinforcement Learning-Based Two-Phase Hybrid Optimization for Scheduling Agile Earth Observation Satellites by Guanghui Zhou, Zhicheng Jin, Dongning Liu

“…Corresponding to these dual decision layers, a Two-Phase Hybrid Optimization (TPHO) framework is developed. The task sequencing subproblem is addressed through an encoder–decoder architecture based on sequence-to-sequence learning. …”
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Enhancing Planning for Autonomous Driving via an Iterative Optimization Framework Incorporating Safety-Critical Trajectory Generation by Zhen Liu, Hang Gao, Yeting Lin, Xun Gong

“…This paper introduces a novel iterative optimization framework that incorporates safety-critical trajectory generation to enhance AV planning. …”
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Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

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Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model. by Yongli Tian

“…The syntactic change ratio is only 0.432, all of which significantly outperform comparative models such as Syntax-Transformer and Syntax-Bidirectional Encoder Representations from Transformers (Syntax-BERT). …”
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