MCE-HGCN: Heterogeneous Graph Convolution Network for Analog IC Matching Constraints Extraction by Yong Zhang, Yong Yin, Ning Xu, Bowen Jia

“…In the matching prediction process, the mean <i>F</i>1 score reached 0.917 across different netlist processes and circuit types while maintaining a shorter runtime compared to other methods. …”
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Influence maximization under imbalanced heterogeneous networks via lightweight reinforcement learning with prior knowledge by Kehong You, Sanyang Liu, Yiguang Bai

“…Additionally, the node embedding vectors are input into a Deep Q Network (DQN) to commence the lightweight training process. …”
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"Influence of flight angle of field synergy elongation element on performance of screw" by HUANG Shi-zheng1, PAN Wei1, ZHU Jia-wei1, YANG Wei-min2, ZENG Xian-kui1, JIAN Ran-ran1,2,3

“…The radial convergence channel of the field synergy elongation element changed the direction of the velocity field, causing the velocity vector to generate radial components, promoting the synergistic interaction between the velocity field, temperature gradient field, and velocity gradient field, and strengthening the heat and mass transfer and transportation process. …”
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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware by Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto

“…The dataset used consists of 2,084 Android applications, including 1,314 malware samples and 770 benign applications, obtained through a reverse engineering process. Data pre-processing, feature extraction, and training using supervised learning are carried out to optimize detection accuracy. …”
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SOH and RUL Estimation for Lithium-Ion Batteries Based on Partial Charging Curve Features by Kejun Qian, Yafei Li, Qiheng Zou, Kecai Cao, Zhongpeng Li

“…A hybrid framework combining CatBoost for SOH estimation and particle swarm optimization-support vector regression (PSO-SVR) for RUL estimation is developed. …”
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Application of Machine Learning in Construction Productivity at Activity Level: A Critical Review by Ying Terk Lim, Wen Yi, Huiwen Wang

“…Noticeably, artificial neural networks, convolutional neural networks, support vector machines, and even deep learning demonstrating have been adopted due to their effectiveness in different functionalities and processes in CPM. …”
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Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

“…In order to assist investors in the decision-making process, artificial intelligence tools aim at finding patterns hidden in data and providing useful, timely and accurate information. …”
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GENESIS AND CONCEPTUAL FOUNDATIONS OF MUSLIM LAW by Alona O. Taranovska

“…Attention is drawn to the relevance of scientific knowledge of Islamic religious doctrine in the conditions of modern trends, as a powerful ideological vector of the development of Muslim law, regardless of the inherent conservatism of Islamic society. …”
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Banking ecosystems and marketplaces: digitalization trends by L. V. Prigoda, M. V. Alikaeva, Z. Cekerevac

“…At present, artificial intelligence (AI) technologies have a significant impact on human life, both in the process of instant transfers and in conversational interfaces. …”
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Evaluation of mesoporous silica synthesized for green adsorption by modeling via machine learning and mass transfer by Minge Yang, Qiqing Yue, Junyi He

“…Our objective was to develop predictive models for C using three distinct base models: decision tree (DT), support vector regression (SVR), and Gaussian process regression (GPR). …”
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RAG-Driven Memory Architectures in Conversational LLMs&#x2014;A Literature Review With Insights Into Emerging Agriculture Data Sharing by Nur Arifin Akbar, Rahool Dembani, Biagio Lenzitti, Domenico Tegolo

“…Despite significant advances in natural language processing, conversational AI systems face persistent challenges in maintaining extensive and contextually coherent dialogues, particularly regarding long-term memory management. …”
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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…Penelitian ini akan memanfaatkan analisis sentimen menggunakan word cloud, analisis tren dan distribusi, dan pembandingan lima algoritma machine learning, yakni Naïve Bayes, Decision Tree, Support Vector Machine, Logistic Regression, dan Random Forest. …”
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Influencing factors of cross screening rate and its intelligent prediction model by Lala ZHAO, Feng XU, Chenlong DUAN, Chenhao GUO, Wei WANG, Haishen JIANG, Jinpeng QIAO

“…The mathematical model of the screening process and the DEM (Discrete Element Method) model are difficult to accurately predict the actual screening performance. …”
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Disulfidptosis-related gene in acute myocardial infarction and its diagnostic value and functions based on bioinformatics analysis and machine learning by Liwen Chen, Jinru Wei, Jinru Wei, Guoxiong Deng, Guoxiong Deng, Guien Xu

“…At the same time, key genes further screened by Support Vector Machine (SVM), Lasso regression, as well as random forest. …”
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‘You want to deal with power while riding on power’: global perspectives on power in participatory health research and co-production approaches by Maria Roura, Bachera Aktar, Emily Zimmerman, Ivy Chumo, Robinson Karuga, Kim Ozano, Apurvakumar Pandya, Sónia Dias, Jessica Amegee Quach, Tara Tancred, Beatrice R Egid, Guillermo Hegel, Laundette Jones, Luret Lar, Yaimie López, Theresa C Norton, Payam Sheikhattari, Nina Wallerstein

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Soil microbial nutrient limitation and carbon use efficiency in relation to altitude and slope aspect in arid and semi-arid mountainous ecosystems by Xinrui He, Jie Zheng, Jie Gao, Yuanyuan Wu, Peixuan Yan, Wenqiu Cao, Xilu Ni, Changxiao Li

“…Variation in EEAs was accompanied by similar characteristics. Vector lengths were not characterized by significant variation across the altitudinal gradients or between slope aspects, while vector angle exceeded 45°, with higher values observed at high altitudes. …”
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A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images by Oguzhan Katar, Ozal Yildirim, Ru-San Tan, U Rajendra Acharya

“…In the proposed method, each feature matrix is flattened separately and then combined to form a comprehensive feature vector. The feature vector is given as input to machine learning classifiers to identify the NSCLC subtype. …”
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Few-shot bearing fault diagnosis method based on an EEMD parallel neural network and a relation network by Cunsheng Zhao, Bo Tong, Chao Zhou, Qingrong Fan

“…A more precise fault feature vector was generated via the feature embedding module of the RN, and the fault features of the support and query sets were stitched to create a fault feature vector set. …”
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Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment by Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert

“…<italic>Methods:</italic> Deep-MASKS uses an autoencoder to reconstruct MFCC components of an individual&#x2019;s speech from an i-vector, x-vector or d-vector representation of their speech learned during the enrollment period. …”
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Evaluation of synergistic effect of entomopathogenic fungi Beauveria bassiana and Lecanicillium lecacii on the mosquito Culex quinquefaciatus. by Aditya Shankar Kataki, Francesco Baldini, Anjana Singha Naorem

“…Vector-borne diseases resulted into several cases of human morbidity and mortality over the years and among them is filariasis, caused by the mosquito Culex quinquefasciatus. …”
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