Cam Design and Pin Defect Detection of Cam Pin Insertion Machine in IGBT Packaging by Wenchao Tian, Pengchao Zhang, Mingfang Tian, Si Chen, Haoyue Ji, Bingxu Ma

“…Packaging equipment plays a crucial role in the semiconductor industry by enhancing product quality and reducing labor costs through automation. Research was conducted on IGBT module packaging equipment (an automatic pin insertion machine) during the pin assembly process of insulated gate bipolar transistor (IGBT) modules to improve productivity and product quality. …”
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Autoencoder imputation of missing heterogeneous data for Alzheimer's disease classification by Namitha Thalekkara Haridas, Jose M. Sanchez‐Bornot, Paula L. McClean, KongFatt Wong‐Lin, Alzheimer's Disease Neuroimaging Initiative (ADNI)

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Prediction Method for Mechanical Characteristic Parameters of Weak Components of 110 kV Transmission Tower under Ice-Covered Condition Based on Finite Element Simulation and Machin... by Lin Yang, Lulu Mei, Yifei Chen, Yanpeng Hao, Licheng Li, Jianrong Wu, Xianyin Mao

“…Thirdly, five machine learning algorithms are considered to establish the prediction models for mechanical characteristic parameters of weak components, and the optimal prediction model is obtained. …”
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Lossless Compression with Trie-Based Shared Dictionary for Omics Data in Edge–Cloud Frameworks by Rani Adam, Daniel R. Catchpoole, Simeon J. Simoff, Zhonglin Qu, Paul J. Kennedy, Quang Vinh Nguyen

“…It presents a software-centric scientific research process of the design and evaluation of the proposed compression method. …”
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Source reconstruction via deposition measurements of an undeclared radiological atmospheric release by S. Van Leuven, S. Van Leuven, S. Van Leuven, P. De Meutter, P. De Meutter, J. Camps, P. Termonia, P. Termonia, A. Delcloo, A. Delcloo

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Automated Collection Planning for Civilian and Commercial Satellite Imagery, and Definition and Exploitation of the Collection Asset Specification Data Structure by Jeff Secker, Katerina Biron, Dany Dessureault, Pierre Lamontagne, Rodney Rear

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Utility of satellite-based precipitation products for drought monitoring over Morocco by Abdessamad Hadri, Mariame Rachdane, Kaouthar Iazza, El Mahdi El Khalki, Ismaguil Hanadé Houmma, Mohamed Elmehdi Saidi

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Highly stable two-level current fluctuation in complex oxide heterostructures by Doyeop Kim, Jung-Woo Lee, Jihyun Lim, Sungjun Choi, Khimananda Acharya, Seobin Oh, Jaewhan Oh, Tula R. Paudel, Yongsoo Yang, Kitae Eom, Sunwoo Lee, Hyungwoo Lee

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An Optimization Method for Operation Adjustment of High-Speed Delayed Trains by Xiaojuan Li, Yueying Huo, Zhenying Yan, Baoming Han

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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“… This paper aimed to investigate human emotion recognition through the analysis of facial expressions, using both classical machine learning methods and advanced techniques based on deep neural networks. The research compares the performance of classical machine learning algorithms (such as K-Nearest Neighbors, Gaussian Naive Bayes, Support Vector Machines, Adaptive Boosting, Decision Tree, and Random Forest) with the modern deep learning methods (such as Convolutional Neural Networks, Deep Neural Networks, and Recursive Neural Networks) using standardized datasets. …”
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Optimization of Pertamax Fuel Distribution Using Clarke-Wright Savings, Nearest Neighbour, and Goal Programming (Case Study: Malang City) by Tharisa Melani, Sobri Abusini, Marjono Marjono

“…The results show that the combination of CWS and NN algorithms reduced the total travel distance by 140 km, or 12.5% reduction. …”
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A novel German TikTok hate speech dataset: far-right comments against politicians, women, and others by Jan Fillies, Esther Theisen, Michael Hoffmann, Robert Jung, Elena Jung, Nele Fischer, Adrian Paschke

“…Abstract With the rise of new social media platforms designed for teenagers and adolescents, the importance of content moderation supported by algorithms is more necessary than ever. State-of-the-art hate speech detection algorithms are increasingly challenged by the rapid and creative evolution of modern language. …”
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Artificial intelligence in colorectal cancer: a review by G. Singh

“…The review emphasizes the importance of an AI standard system, dataset standardization, and integrating clinical knowledge into AI algorithms. Overall, the article provides an overview of the current research on AI in CRC diagnosis, treatment, and prognosis, discussing its benefits, challenges, and future prospects in improving medical outcomes.…”
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Solutions to face and combat disinformation: proposals in scientific literature from the web of science by Jônatas Edison da Silva, Enrique Muriel-Torrado

“…ABSTRACT This study examines the proliferation of false information within the context of post-truth and a society shaped by disinformation. The research question explores the potential answers in the scientific literature for addressing and combating disinformation. …”
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Digital Technologies and Labour Relations: Legal Regulation in Russia and China by E. Ofman, M. Sagandykov

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Analyzing Decadal Trends of Vegetation Cover in Djibouti Using Landsat and Open Data Cube by Julee Wardle, Zachary Phillips

“…Using Digital Earth Africa’s Open Data Cube and thirty years of Landsat imagery, change detection algorithms, and statistical analysis, this research explores vegetation dynamics at various spatial and temporal scales. …”
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Kolmogorov GAM Networks Are All You Need! by Sarah Polson, Vadim Sokolov

“…Finally, we conclude with directions for future research.…”
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Predictive exploratory data analysis of shopfloor CNC machine operation through a machine learning model by Tarique Ameer, Omid Fatahi Valilai

“…The findings of this research try to provide: • Exhibiting the ML algorithms in the manufacturing shop floor for predictive analysis. • Effective creation of value across the supply chain process by applying predictive analysis.The paper has conducted a literature review around industry 4.0 trends and the trend for predictive models for shop floor level machine operation with a focus on historical data repositories. …”
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Validating the recording of exacerbations of asthma in electronic health records: a systematic review protocol by Jennifer K Quint, Elizabeth Moore, Zakariah Z Gassasse

“…However, previous studies found significant heterogeneity in the algorithms used to define asthma exacerbations. Validating definitions of asthma exacerbations in EHR will lead to more robust and comparable evidence in future research.Methods and analysis Medline and Embase will be searched for the key concepts relating to asthma exacerbations, EHR and validation. …”
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Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions by Maria Sigopi, Cletah Shoko, Timothy Dube

“…Additionally, machine learning (ML) algorithms, including support vector machines (SVM), Random Forest (RF), deep learning and emerging methodologies like recurrent tranformer networks, have been explored. …”
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